{"id":10951,"date":"2025-11-26T21:31:54","date_gmt":"2025-11-26T20:31:54","guid":{"rendered":"https:\/\/spleeft.app\/?p=10951"},"modified":"2025-12-02T14:08:32","modified_gmt":"2025-12-02T13:08:32","slug":"come-programmare-con-vbt","status":"publish","type":"post","link":"https:\/\/spleeft.app\/it\/come-programmare-con-vbt\/","title":{"rendered":"Come programmare con VBT e abbandonare definitivamente le congetture"},"content":{"rendered":"<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">If you&#8217;ve ever watched an athlete grind through a set that was supposed to be &#8220;explosive,&#8221; you know the frustration. The program said 80% of 1RM. The athlete did the math. The bar moved like it was stuck in concrete. Something clearly wasn&#8217;t right\u2014but what?<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Here&#8217;s the uncomfortable truth that traditional percentage-based training doesn&#8217;t want you to hear:\u00a0<strong>your athlete&#8217;s 1RM fluctuates by 10-20% depending on sleep, stress, nutrition, and accumulated fatigue<\/strong>\u00b9. That perfectly calculated 80% load? It might actually be 90% today\u2014or 70% tomorrow. This is precisely why coaches who understand\u00a0<strong>how to program with VBT<\/strong>\u00a0(Velocity-Based Training) are producing athletes who adapt faster, stay healthier, and perform when it matters.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Let&#8217;s break down exactly how to implement velocity-based programming in your training systems, using tools like\u00a0<strong>Spleeft App<\/strong>\u00a0to measure and monitor the metrics that actually predict performance.<\/p>\n<h2 class=\"wp-block-heading has-text-align-center\" style=\"text-align: center;\"><a href=\"https:\/\/linktr.ee\/spleeftapp\" target=\"_blank\" rel=\"noreferrer noopener\">DOWNLOAD SPLEEFT APP NOW FOR iOS, ANDROID AND APPLE WATCH!<\/a><\/h2>\n<h2 id=\"what-makes-vbt-different-from-traditional-programm\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">What Makes VBT Different from Traditional Programming<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Traditional strength programming has relied on the percentage-of-1RM model since the Soviet era. It works\u2014to a point. But here&#8217;s the catch: this approach assumes your maximum strength is a fixed number that remains constant between testing sessions\u00b9\u00b2. In reality, an athlete&#8217;s true 1RM can shift dramatically based on their daily readiness.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Velocity-Based Training flips this paradigm by using\u00a0<strong>movement speed<\/strong>\u00a0as the primary indicator of training intensity. The faster an athlete moves a given load (with maximal intent), the lighter that load is relative to their current capacity. The relationship between load and velocity is remarkably consistent and linear across trained individuals\u00b2\u00b3.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">The foundational research from Gonz\u00e1lez-Badillo and S\u00e1nchez-Medina established that barbell velocity correlates strongly with %1RM across multiple exercises\u00b2. This means you can use velocity data to:<\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Estimate 1RM without maximal testing<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Prescribe training loads based on real-time performance<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Monitor fatigue and readiness instantly<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Autoregulate volume within a session<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">This is where an app like\u00a0<strong>Spleeft App<\/strong>\u00a0becomes invaluable. Instead of hoping your athletes are training at the right intensity, you can\u00a0<strong>measure their velocity in real-time<\/strong>\u00a0and make informed decisions on the spot.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" style=\"max-width: 700px; width: 100%; height: auto; display: inline-block;\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/11\/asian-men-and-women-have-a-strong-body-good-healt-2025-03-14-12-01-48-utc-scaled.jpg\" alt=\"\" title=\"\"><\/div>\n<h2 id=\"understanding-the-load-velocity-profile-your-new-t\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Understanding the Load-Velocity Profile: Your New Training Compass<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Before you can effectively program with VBT, you need to understand the\u00a0<strong>load-velocity profile<\/strong>\u2014the individualized relationship between the weight on the bar and how fast your athlete can move it.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Think of it as your athlete&#8217;s fingerprint for a given exercise. When plotted on a graph, the relationship forms a nearly linear line: as load increases, velocity decreases predictably\u00b2\u2074. This profile allows you to:<\/p>\n<ol class=\"marker:text-quiet list-decimal\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Predict 1RM from submaximal loads<\/strong>\u00a0\u2014 No need to take athletes to failure<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Identify force-velocity characteristics<\/strong>\u00a0\u2014 Is your athlete force-dominant or velocity-dominant?<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Track progress over time<\/strong>\u00a0\u2014 A shift in the profile indicates adaptation<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Prescribe loads with precision<\/strong>\u00a0\u2014 Target specific velocity zones for desired adaptations<\/p>\n<\/li>\n<\/ol>\n<h2 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Building a Load-Velocity Profile with Spleeft App<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">To create an accurate profile, you&#8217;ll need velocity data across 4-6 loads ranging from light (~40-50% 1RM) to heavy (~85-90% 1RM)\u2075. Here&#8217;s a practical protocol:<\/p>\n<ol class=\"marker:text-quiet list-decimal\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Warm-up thoroughly<\/strong>\u00a0with the target exercise<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Start with an empty bar or light load<\/strong>\u00a0and perform 3-5 reps at maximal intent<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Add weight progressively<\/strong>\u00a0(10-15% jumps) and record the best rep velocity at each load<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Continue until velocity drops below ~0.5 m\/s<\/strong>\u00a0(for most exercises)<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Plot the data<\/strong>\u00a0to visualize the load-velocity relationship<\/p>\n<\/li>\n<\/ol>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Spleeft App automatically generates this profile as you train, updating it continuously based on your recent performance data. The app uses your historical velocity data to estimate your 1RM without ever requiring a true max attempt\u2014a game-changer for <a title=\"managing athlete\" href=\"https:\/\/spleeft.app\/meet-our-new-athlete-management-system-for-vbt\/\" target=\"_blank\" rel=\"noopener\">managing athlete<\/a> health and training readiness\u2076.<\/p>\n<h2 id=\"the-minimum-velocity-threshold-where-the-profile-m\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">The Minimum Velocity Threshold: Where the Profile Meets Reality<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Every exercise has a\u00a0<strong>Minimum Velocity Threshold (MVT)<\/strong>\u2014the slowest velocity at which a full repetition can be completed. This is essentially the velocity at 1RM\u00b2. Understanding MVT is critical for accurate 1RM estimation and appropriate load selection.<\/p>\n<div class=\"group relative\">\n<div class=\"w-full overflow-x-auto md:max-w-[90vw] border-subtlest ring-subtlest divide-subtlest bg-transparent\">\n<table class=\"border-subtler my-[1em] w-full table-auto border-separate border-spacing-0 border-l border-t\">\n<thead class=\"bg-subtler\">\n<tr>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Exercise<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Minimum Velocity Threshold (m\/s)<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Notes<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Back Squat<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">~0.30<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Higher due to stretch-shortening cycle\u00b2\u2077<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Bench Press<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0.15-0.17<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Lowest MVT; limited ROM\u00b2\u2077<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Deadlift<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0.15-0.25<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">No SSC; varies considerably\u2077<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Overhead Press<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">~0.19<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Between squat and bench values\u2075<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">When your load-velocity profile intersects with the MVT, you&#8217;ve found your estimated 1RM. Spleeft App calculates this automatically, giving you a reliable strength baseline that updates as your athlete progresses.<\/p>\n<h2 id=\"velocity-zones-programming-for-specific-adaptation\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Velocity Zones: Programming for Specific Adaptations<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">One of the most powerful applications of VBT is the ability to target\u00a0<strong>specific training adaptations<\/strong>\u00a0by prescribing velocity zones rather than arbitrary percentages. Different movement speeds correspond to different neuromuscular demands and, consequently, different training outcomes\u2078\u2079.<\/p>\n<div class=\"group relative\">\n<div class=\"w-full overflow-x-auto md:max-w-[90vw] border-subtlest ring-subtlest divide-subtlest bg-transparent\">\n<table class=\"border-subtler my-[1em] w-full table-auto border-separate border-spacing-0 border-l border-t\">\n<thead class=\"bg-subtler\">\n<tr>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Training Zone<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Velocity Range (m\/s)<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Approx. %1RM<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Primary Adaptation<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Absolute Strength<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">&lt; 0.50<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">\u2265 80%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Maximal strength, neural efficiency<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Accelerative Strength<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0.50 &#8211; 0.75<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">65-80%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Force production, motor unit recruitment<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Strength-Velocity<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0.75 &#8211; 1.00<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">50-65%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Power output, explosive strength<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Velocity-Strength<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">1.00 &#8211; 1.30<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">35-50%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Rate of force development<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Starting Velocity<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">&gt; 1.30<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">&lt; 35%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Reactive ability, ballistic power<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div style=\"text-align: center;\"><img decoding=\"async\" style=\"max-width: 700px; width: 100%; height: auto; display: inline-block;\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/11\/smiling-sportswoman-using-smartphone-while-resting-2025-03-09-10-54-17-utc-scaled.jpg\" alt=\"\" title=\"\"><\/div>\n<\/div>\n<\/div>\n<h2 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">How to Use Velocity Zones in Practice<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Let&#8217;s say you&#8217;re working with a volleyball player who needs to <a title=\"improve jump\" href=\"https:\/\/spleeft.app\/plyometric-training-jump-higher-explosive-power\/\" target=\"_blank\" rel=\"noopener\">improve jump<\/a> performance. Traditional programming might prescribe &#8220;5&#215;5 @ 75%&#8221;\u2014but that tells you nothing about the actual training stimulus.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Using velocity zones with Spleeft App, you could program:<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Power Development Block:<\/strong><\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Back Squat<\/strong>: 4&#215;3 @ 0.75-0.90 m\/s (strength-velocity zone)<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Trap Bar Jump<\/strong>: 4&#215;3 @ &gt;1.0 m\/s (velocity-strength zone)<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">The athlete warms up, finds the load that puts them in the target velocity zone, and trains there. If they&#8217;re fatigued and velocity drops below the zone, you reduce load or end the set. If they&#8217;re fresh and velocity is too fast, you add weight.\u00a0<strong>The velocity zone ensures the intended adaptation, regardless of daily fluctuations in absolute strength.<\/strong><\/p>\n<h2 id=\"velocity-loss-thresholds-the-smarter-way-to-manage\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Velocity Loss Thresholds: The Smarter Way to Manage Fatigue<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Perhaps no concept in VBT programming has generated more research interest than\u00a0<strong>velocity loss<\/strong>\u2014the decrease in bar velocity across repetitions within a set. This metric provides a real-time window into fatigue accumulation and proximity to failure\u00b9\u2070\u00b9\u00b9.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">The landmark research from Pareja-Blanco and colleagues demonstrated that the magnitude of velocity loss experienced during a set is a critical variable determining training outcomes\u00b9\u2070. Here&#8217;s what the evidence shows:<\/p>\n<div class=\"group relative\">\n<div class=\"w-full overflow-x-auto md:max-w-[90vw] border-subtlest ring-subtlest divide-subtlest bg-transparent\">\n<table class=\"border-subtler my-[1em] w-full table-auto border-separate border-spacing-0 border-l border-t\">\n<thead class=\"bg-subtler\">\n<tr>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Velocity Loss<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Proximity to Failure<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Primary Effect<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Fatigue Level<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Best For<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0-10%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Very far (5-8 RIR)<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Neural adaptations<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Minimal<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Power athletes, in-season\u00b9\u00b2<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">10-20%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Far (3-5 RIR)<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Strength gains<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Low<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">General strength\u00b9\u2070<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">20-30%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Moderate (2-3 RIR)<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Balanced<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Moderate<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Strength &amp; hypertrophy\u00b9\u00b3<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">30-40%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Close (1-2 RIR)<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Hypertrophy<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">High<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Muscle building phases\u00b9\u2074<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">&gt; 40%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Near failure<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Endurance<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Very high<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Muscular endurance\u00b9\u2074<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h2 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">The Practical Application<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Here&#8217;s where\u00a0<strong>how to program with VBT<\/strong>\u00a0becomes genuinely exciting. Instead of prescribing a fixed rep count, you can prescribe a velocity loss threshold and let the athlete&#8217;s daily readiness determine the volume.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Example Protocol:<\/strong><\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Exercise<\/strong>: Back Squat<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Load<\/strong>: First rep at ~0.65 m\/s<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Velocity Loss Threshold<\/strong>: 20%<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Sets<\/strong>: 4<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">The athlete performs reps until velocity drops to ~0.52 m\/s (20% loss from 0.65), then stops the set. On a good day, they might get 6 reps. On a harder day, maybe 4. Either way,\u00a0<strong>the fatigue stimulus is equivalent<\/strong>\u2014and that&#8217;s the point.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Spleeft App makes this effortless by displaying velocity loss zones in real-time. You set your threshold, and the app tells you when to stop. No more grinding reps that do more harm than good.<\/p>\n<h2 id=\"four-proven-programming-methods-using-vbt\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Four Proven Programming Methods Using VBT<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Now let&#8217;s get into the nuts and bolts. There are several evidence-based methods for\u00a0<strong>how to program with VBT<\/strong>, each with distinct advantages depending on your context and goals\u00b9\u2075.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Method 1: Percentage-Based with Velocity Feedback<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">This is the most accessible entry point to VBT. Athletes follow traditional %1RM prescriptions but receive velocity feedback to enhance intent and monitor readiness\u00b9\u2075.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Example<\/strong>: 4&#215;5 @ 80% 1RM with velocity tracking<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Advantages:<\/strong><\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Familiar structure for coaches and athletes<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Velocity data reveals if loads are appropriate<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Builds historical database for future programming<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>When to Use<\/strong>: Introducing VBT to a team, early off-season phases, or when you want velocity data without overhauling your current system.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Method 2: Velocity Zone Prescription<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Prescribe a target velocity zone rather than a percentage. Athletes warm up to find the load that produces the desired velocity and train at that load\u00b9\u2075.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Example<\/strong>: 4&#215;3 @ 0.50-0.65 m\/s (accelerative strength zone)<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Advantages:<\/strong><\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Automatically adjusts for daily readiness<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Ensures precise training stimulus<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Eliminates guesswork from load selection<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>When to Use<\/strong>: Phase-specific training, when targeting particular adaptations, or with athletes who have established load-velocity profiles.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Method 3: Velocity Loss Cut-offs<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Sets end when velocity drops by a predetermined percentage from the fastest rep, controlling fatigue and rep quality\u00b9\u2070\u00b9\u2075.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Example<\/strong>: 4 sets @ 0.55 m\/s starting velocity, 20% velocity loss cut-off<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Advantages:<\/strong><\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Autoregulates volume based on fatigue<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Prevents junk volume<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Preserves rep quality throughout the session<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>When to Use<\/strong>: In-season training, power development phases, or when managing accumulated fatigue is critical.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Method 4: Undetermined Reps Within Velocity Range (AMRAP)<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Athletes perform as many reps as possible while staying within a defined velocity window. The set ends when velocity drops below the lower threshold\u00b9\u2075.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Example<\/strong>: AMRAP @ 0.45-0.60 m\/s<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Advantages:<\/strong><\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Maximizes effective volume<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Self-regulating based on daily capacity<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Excellent for monitoring work capacity over time<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>When to Use<\/strong>: General preparation phases, building work capacity, or when you want maximum productive volume.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" style=\"max-width: 700px; width: 100%; height: auto; display: inline-block;\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/11\/smiling-woman-resting-with-smartphone-after-workou-2025-03-06-20-03-46-utc-scaled.jpg\" alt=\"\" title=\"\"><\/div>\n<h2 id=\"implementing-vbt-with-spleeft-app-a-practical-work\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Implementing VBT with Spleeft App: A Practical Workflow<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Let&#8217;s walk through how a coach might implement\u00a0<strong>VBT programming<\/strong>\u00a0using Spleeft App across a training week.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Day 1: Lower Body Strength-Power<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Objective<\/strong>: Develop strength-velocity qualities for improved acceleration<\/p>\n<ol class=\"marker:text-quiet list-decimal\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Open Spleeft App<\/strong>\u00a0and select the athlete&#8217;s profile<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Back Squat Warm-up<\/strong>: Progressive loading, recording velocity at each weight<\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">The app automatically updates the load-velocity profile<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Monitor the estimated 1RM display\u2014if it&#8217;s lower than usual, the athlete may need load adjustments<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Work Sets<\/strong>: 4&#215;4 @ 0.55-0.70 m\/s with 15% velocity loss cut-off<\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Spleeft displays real-time velocity and alerts when the threshold is reached<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">If velocity stays high, consider adding 2.5-5kg for subsequent sets<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Trap Bar Jumps<\/strong>: 4&#215;3 @ &gt;1.0 m\/s<\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Pure velocity-strength work; if velocity drops below target, reduce load immediately<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Day 2: Upper Body Strength<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Objective<\/strong>: Build pressing strength with controlled fatigue<\/p>\n<ol class=\"marker:text-quiet list-decimal\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Bench Press Progressive Loading<\/strong>: Build to working weight while Spleeft tracks velocities<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Work Sets<\/strong>: 5&#215;3 @ 0.35-0.50 m\/s with 20% velocity loss threshold<\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">The app shows you&#8217;re in the accelerative strength zone<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Velocity feedback confirms each rep is training the intended quality<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Session Review<\/strong>: Check the app&#8217;s summary\u2014total reps, average velocity, velocity loss trends<\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Compare to previous sessions for progress monitoring<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Weekly Review<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">At week&#8217;s end, review the dashboard in Spleeft App:<\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>1RM Estimates<\/strong>: Are they trending upward?<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Average Training Velocities<\/strong>: Are athletes maintaining velocity at similar loads?<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Velocity Loss Patterns<\/strong>: Any red flags indicating accumulated fatigue?<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">This data-driven approach transforms programming from educated guessing into\u00a0<strong>precision training<\/strong>\u2014and that&#8217;s the real power of understanding\u00a0<strong>how to program with VBT<\/strong>.<\/p>\n<h2 id=\"autoregulation-and-daily-readiness-the-vbt-advanta\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Autoregulation and Daily Readiness: The VBT Advantage<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">One of the most valuable aspects of VBT is its capacity for\u00a0<strong>autoregulation<\/strong>\u2014adjusting training loads and volumes based on real-time performance indicators\u00b9\u2076\u00b9\u2077.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Traditional programs assume that Tuesday will always be a good day for heavy squats. Reality doesn&#8217;t work that way. Sleep debt, psychological stress, travel, and life outside the gym all impact performance.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Research shows that velocity is more sensitive to readiness changes than either load lifted or RPE\u00b9\u2077. An athlete might hit their prescribed numbers on a low-readiness day, but the grinding <a title=\"slow reps\" href=\"https:\/\/spleeft.app\/fast-reps-vs-slow-reps-optimize-strength-training\/\" target=\"_blank\" rel=\"noopener\">slow reps<\/a> reveal they&#8217;re working much harder than intended.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Using Spleeft App for Readiness Monitoring<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Spleeft App compares your current session velocity to your historical average for the same load. Here&#8217;s how to interpret the data:<\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Velocity &gt; 5% above average<\/strong>: High readiness\u2014consider adding load or volume<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Velocity within 5% of average<\/strong>: Normal readiness\u2014proceed as planned<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Velocity 5-10% below average<\/strong>: Moderate fatigue\u2014consider reducing load by 5%<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Velocity &gt; 10% below average<\/strong>: Low readiness\u2014reduce volume and intensity, focus on recovery<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">This isn&#8217;t about babying athletes. It&#8217;s about\u00a0<strong>training smart<\/strong>. The goal is progressive overload over time, and that requires strategic management of fatigue within individual sessions and across training cycles.<\/p>\n<h2 id=\"common-mistakes-when-learning-how-to-program-with\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Common 5 Mistakes When Learning How to Program with VBT<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">As with any methodology, there are pitfalls to avoid:<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Mistake 1: Obsessing Over Velocity Numbers Instead of Intent<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">VBT only works when athletes move with\u00a0<strong>maximal intent<\/strong>\u00b2. If they&#8217;re pacing themselves or not trying to accelerate the bar, the velocity data is meaningless. Coach intent first, track velocity second.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Mistake 2: Setting Velocity Targets Too Narrowly<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">A target of &#8220;exactly 0.75 m\/s&#8221; creates unnecessary stress and decision paralysis. Use\u00a0<strong>ranges<\/strong>\u00a0(0.70-0.80 m\/s) that account for natural rep-to-rep variation.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Mistake 3: Ignoring Individual Differences<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">While group velocity standards exist, individual athletes may show different profiles\u00b2. Some naturally move faster at all loads; others are grinders. Build individual profiles before making programming decisions.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Mistake 4: Neglecting the Warm-Up Protocol<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Consistent warm-up routines reduce velocity variability and make your data more reliable\u2076. Standardize your approach.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Mistake 5: Using VBT Without Context<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Velocity data doesn&#8217;t replace coaching knowledge\u2014it enhances it. The numbers inform decisions; they don&#8217;t make them for you.<\/p>\n<h2 id=\"integrating-vbt-into-existing-programs\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Integrating VBT Into Existing Programs<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">You don&#8217;t need to overhaul everything to benefit from VBT. Here&#8217;s a graduated approach:<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Phase 1<\/strong>: Add velocity tracking to your current program. Collect data, build profiles, learn the numbers.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Phase 2<\/strong>: Introduce velocity-based autoregulation. Use velocity loss thresholds to determine when sets end.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Phase 3<\/strong>: Begin prescribing by velocity zones for key exercises. Maintain percentage-based work for accessories.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Phase 4<\/strong>: Full VBT integration. All primary lifts programmed by velocity, with historical data driving periodization decisions.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Spleeft App supports every phase of this journey, from simple velocity tracking to sophisticated <a title=\"load-velocity profiling and 1RM estimation\" href=\"https:\/\/spleeft.app\/automatic-load-velocity-profile-1rm-estimation\/\" target=\"_blank\" rel=\"noopener\">load-velocity profiling and 1RM estimation<\/a>.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" style=\"max-width: 700px; width: 100%; height: auto; display: inline-block;\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/11\/young-asian-woman-using-smartphone-in-gym-2025-03-07-06-09-59-utc-scaled.jpg\" alt=\"\" title=\"\"><\/div>\n<h2 id=\"the-research-backed-case-for-vbt\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">The Research-Backed Case for VBT<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">The evidence supporting VBT continues to grow:<\/p>\n<ul class=\"marker:text-quiet list-disc\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Meta-analyses show VBT effectively enhances\u00a0<strong>maximal strength (SMD = 0.76)<\/strong>,\u00a0<strong>strength endurance (SMD = 1.19)<\/strong>,\u00a0<strong>jump performance (SMD = 0.53)<\/strong>, and **sprint ability (SMD = -0.40)**\u00b9\u2078.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Velocity feedback during training increases peak power output by approximately\u00a0<strong>8-9%<\/strong>\u00a0compared to no-feedback conditions\u00b9\u2079.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Low velocity loss thresholds (10-20%) produce similar or greater strength gains than high thresholds while requiring\u00a0<strong>50% fewer repetitions<\/strong>\u00b9\u2070\u00b9\u00b2.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">VBT enables safer 1RM estimation, particularly valuable for\u00a0<strong>youth athletes and return-to-play protocols<\/strong>\u00b2\u2070.<\/p>\n<\/li>\n<\/ul>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">The bottom line: VBT isn&#8217;t just another training fad. It&#8217;s a methodology grounded in exercise physiology and supported by a robust body of peer-reviewed research.<\/p>\n<h2 id=\"faqs\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">FAQs<\/h2>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Can I use VBT without expensive equipment?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Absolutely. While dedicated velocity devices offer high accuracy, apps like\u00a0<strong>Spleeft App<\/strong>\u00a0leverage your smartphone&#8217;s sensors and Apple Watch integration to provide reliable velocity data at a fraction of the cost. Research shows smartphone-based systems can achieve correlations above r &gt; 0.95 with gold-standard <a title=\"linear transducers\" href=\"https:\/\/spleeft.app\/validated-against-a-linear-transducer\/\" target=\"_blank\" rel=\"noopener\">linear transducers<\/a> for many applications.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">How long does it take to see results from VBT programming?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Most athletes notice improvements in training quality immediately\u2014better rep consistency, more appropriate load selection, and clearer feedback on effort. Objective strength gains typically emerge within 4-8 weeks of consistent implementation, similar to traditional programs but with better <a title=\"fatigue management\" href=\"https:\/\/spleeft.app\/reactive-strength-rsi-fatigue-performance-spleeft-vbt\/\" target=\"_blank\" rel=\"noopener\">fatigue management<\/a>.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Is VBT appropriate for beginner lifters?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Yes, with some considerations. Beginners often lack the motor coordination to display consistent velocities early in their training career. Focus on building movement competency first, then introduce velocity monitoring as technique stabilizes. VBT can actually help beginners learn appropriate effort levels by providing objective feedback on their rep quality.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">What&#8217;s the difference between mean velocity and peak velocity?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\"><strong>Mean velocity<\/strong>\u00a0is the average speed across the entire concentric phase\u2014this is the most commonly used metric and correlates best with relative load.\u00a0<strong>Peak velocity<\/strong> is the highest instantaneous velocity achieved during the lift. Most research and practical applications rely on mean velocity or mean propulsive velocity (which excludes the deceleration phase in non-ballistic lifts)\u00b2.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">How often should I retest 1RM when using VBT?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">One major advantage of VBT is that you rarely need to perform true 1RM testing. Your load-velocity profile provides a continuously updated estimate based on submaximal training data. Formal re-testing might occur every 8-12 weeks for validation purposes, but the day-to-day estimate from Spleeft App keeps you informed without the fatigue and injury risk of maximal attempts.<\/p>\n<div style=\"display: flex; flex-wrap: wrap; align-items: center; justify-content: center; padding: 20px; margin: 20px 0; border: 1px solid #ddd; border-radius: 10px; background-color: #f9f9f9;\">\n<p><!-- Foto del Autor --><\/p>\n<div style=\"flex: 0 0 100px; height: 100px; border-radius: 50%; overflow: hidden; margin-right: 20px;\"><img decoding=\"async\" style=\"width: 100%; height: 100%; object-fit: cover;\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2022\/05\/d19fb150-ce63-4121-9e2e-c0f192ce37f6_.jpg\" alt=\"Iv\u00e1n de Lucas Rogero\" title=\"\"><\/div>\n<p><!-- Informaci\u00f3n del Autor --><\/p>\n<div style=\"flex: 1; text-align: left;\">\n<h3 style=\"margin: 0; font-size: 20px; font-weight: bold; color: #333;\"><a style=\"text-decoration: none; color: inherit;\" href=\"https:\/\/spleeft.app\/about\/\" target=\"_blank\">Iv\u00e1n de Lucas Rogero<\/a><\/h3>\n<p style=\"margin: 5px 0; font-size: 14px; color: #666;\">MSC Physical Performance &amp; CEO SpleeftApp<\/p>\n<p style=\"margin: 5px 0; font-size: 14px; color: #333;\">Dedicated to improving athletic performance and cycling training, combining science and technology to drive results.<\/p>\n<p><!-- Enlaces Importantes --><\/p>\n<div><a style=\"text-decoration: none; color: #007bff; margin-right: 10px;\" href=\"https:\/\/www.entrenamientociclismo.com\/ivan-de-lucas\" rel=\"author noopener\" target=\"_blank\">Entrenamiento Ciclismo<\/a> <a style=\"text-decoration: none; color: #007bff; margin-right: 10px;\" href=\"https:\/\/www.linkedin.com\/in\/iv%C3%A1n-de-lucas-rogero-b34680178\/\" rel=\"nofollow noopener\" target=\"_blank\">LinkedIn<\/a> <a style=\"text-decoration: none; color: #007bff; margin-right: 10px;\" href=\"https:\/\/medium.com\/@ivandelucasrogero\" rel=\"nofollow noopener\" target=\"_blank\">Medium<\/a> <a style=\"text-decoration: none; color: #007bff;\" href=\"https:\/\/x.com\/Ivvy_dlr\" rel=\"nofollow\" target=\"_blank\">Twitter<\/a><\/div>\n<\/div>\n<\/div>\n<h2 id=\"references\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">References<\/h2>\n<ol class=\"marker:text-quiet list-decimal\">\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Gonz\u00e1lez-Badillo JJ, S\u00e1nchez-Medina L, Ribas-Serna J, Rodr\u00edguez-Rosell D. Toward a new paradigm in resistance training by means of velocity monitoring: A critical and challenging narrative. Sports Med Open. 2022;8(1):118.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Gonz\u00e1lez-Badillo JJ, S\u00e1nchez-Medina L. Movement velocity as a measure of loading intensity in resistance training. Int J Sports Med. 2010;31(5):347-352.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Jovanovi\u0107 M, Flanagan EP. Researched applications of velocity based strength training. J Aust Strength Cond. 2014;22(2):58-69.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">S\u00e1nchez-Medina L, Gonz\u00e1lez-Badillo JJ, P\u00e9rez CE, Pallar\u00e9s JG. Estimation of relative load from bar velocity in the full back squat exercise. Int J Sports Med. 2017;38(5):370-377.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Load-Velocity Profiling Guide. Output Sports. 2024.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">VBT Coach. Estimating 1RM with velocity based training: a complete guide. 2024.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Lake J, Naworynsky D, Duncan F, Jackson M. Comparison of different minimal velocity thresholds to establish deadlift 1RM. Int J Sports Physiol Perform. 2017;12(10):1316-1323.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">MeasureUp. Velocity-based training for strength gains: an evidence-based overview. 2025.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Mann JB. Velocity-based training zones and applications. GymAware. 2025.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Pareja-Blanco F, Rodr\u00edguez-Rosell D, S\u00e1nchez-Medina L, et al. Effects of velocity loss during resistance training on athletic performance, strength gains and muscle adaptations. Scand J Med Sci Sports. 2017;27(7):724-735.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Suchomel TJ, Nimphius S, Bellon CR, Stone MH. The importance of muscular strength: training considerations. Sports Med. 2018;48(4):765-785.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Rodr\u00edguez-Rosell D, Y\u00e1\u00f1ez-Garc\u00eda JM, Torres-Torrelo J, et al. Velocity-based resistance training: impact of velocity loss in the set on neuromuscular performance and hormonal response. Appl Physiol Nutr Metab. 2020;45(8):817-828.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Held S, Hecksteden A, Meyer T, Donath L. The effectiveness of traditional vs. velocity-based strength training on explosive and maximal strength performance: A network meta-analysis. Front Physiol. 2022;13:926972.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Pareja-Blanco F, Alcazar J, S\u00e1nchez-Valdepe\u00f1as J, et al. Effects of velocity loss in the bench press exercise on strength gains, neuromuscular adaptations, and muscle hypertrophy. Scand J Med Sci Sports. 2020;30(11):2154-2166.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Output Sports. How to programme with velocity-based training (VBT). 2024.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Greig L, Hemingway BHS, Aspe RR, et al. Autoregulation in resistance training: Addressing the inconsistencies. Sports Med. 2020;50(11):1873-1887.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">VBT Coach. Autoregulation and readiness with velocity based training. 2024.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Chen YS, Wang YT, Lin CY, et al. The role of velocity-based training (VBT) in enhancing athletic performance in trained individuals: A meta-analysis of controlled trials. Int J Environ Res Public Health. 2022;19(15):9252.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Randell AD, Cronin JB, Keogh JW, et al. Effect of instantaneous performance feedback during 6 weeks of velocity-based resistance training on sport-specific performance tests. J Strength Cond Res. 2011;25(1):87-93.<\/p>\n<\/li>\n<li class=\"py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [&amp;&gt;p]:pt-0 [&amp;&gt;p]:mb-2 [&amp;&gt;p]:my-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Weakley J, Mann B, Banyard H, et al. Velocity-based training: From theory to application. Strength Cond J. 2021;43(2):31-49.<\/p>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>If you&#8217;ve ever watched an athlete grind through a set that was supposed to be &#8220;explosive,&#8221; you know the frustration. The program said 80% of 1RM. The athlete did the math. The bar moved like it was stuck in concrete. Something clearly wasn&#8217;t right\u2014but what? Here&#8217;s the uncomfortable truth that traditional percentage-based training doesn&#8217;t want &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/spleeft.app\/it\/come-programmare-con-vbt\/\" class=\"more-link\">Leggi tutto<span class=\"screen-reader-text\"> &#8220;How to Program with VBT and Finally Ditch the Guesswork&#8221;<\/span><\/a><\/p>","protected":false},"author":1,"featured_media":10955,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[26],"tags":[],"class_list":["post-10951","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general"],"_links":{"self":[{"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/posts\/10951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/comments?post=10951"}],"version-history":[{"count":5,"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/posts\/10951\/revisions"}],"predecessor-version":[{"id":11042,"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/posts\/10951\/revisions\/11042"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/media\/10955"}],"wp:attachment":[{"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/media?parent=10951"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/categories?post=10951"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spleeft.app\/it\/wp-json\/wp\/v2\/tags?post=10951"}],"curies":[{"name":"parola chiave","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}