{"id":11026,"date":"2025-12-04T23:01:46","date_gmt":"2025-12-04T22:01:46","guid":{"rendered":"https:\/\/spleeft.app\/?p=11026"},"modified":"2025-12-04T23:01:46","modified_gmt":"2025-12-04T22:01:46","slug":"teoria-para-incorporar-entrenamiento-basado-en-la-velocidad","status":"publish","type":"post","link":"https:\/\/spleeft.app\/es\/teoria-para-incorporar-entrenamiento-basado-en-la-velocidad\/","title":{"rendered":"De la teor\u00eda a la velocidad de la barra: c\u00f3mo incorporar realmente el entrenamiento basado en la velocidad"},"content":{"rendered":"<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">If you coach long enough, you eventually hit that moment: two athletes on the same program, same percentages, same cues\u2026 and completely different bar velocities. One is flying, the other looks like they&#8217;re lifting in slow motion. The spreadsheet says they&#8217;re both at 80%, but your eyes (and their bar) are telling a different story.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">That gap between the numbers on paper and the reality under the bar is exactly where velocity\u2011based training lives.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">This guide is for the coach on the floor, the online coach behind the dashboard, and the lifter who wants to train smarter, not just harder. You&#8217;ll see how to incorporate velocity-based training step by step, how velocity-based training theory actually translates into day\u2011to\u2011day decisions, and how to turn that theory into a clean, repeatable velocity-based training application using tools like Spleeft App.<\/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=\"1-what-are-you-really-doing-when-you-incorporate-v\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">1. What Are You Really Doing When You Incorporate Velocity\u2011Based Training?<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">At its core, velocity\u2011based training (VBT) is brutally simple:<\/p>\n<blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Use how fast the bar (or body) moves to decide\u00a0<strong>how heavy<\/strong>,\u00a0<strong>how much<\/strong>, and\u00a0<strong>when to stop<\/strong>\u00a0in a set.\u00b9<\/p>\n<\/blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Instead of guessing that &#8220;today 80% of 1RM is fine,&#8221; you use\u00a0<strong>movement velocity<\/strong>\u00a0as a live signal of how challenging that load is for the athlete\u00a0<strong>right now<\/strong>. Decades of work on the load\u2011velocity relationship show that for a given exercise, there is a very tight correlation between relative load (%1RM) and mean concentric velocity when the athlete pushes with maximal intent.\u00b9\u00b2<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">In practice, that means:<\/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\">Heavier loads \u2192 systematically lower 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\">Lighter loads \u2192 higher 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\">Fatigue \u2192 velocities drop at the same 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\">Adaptation \u2192 you can move the same load faster, or a heavier load at the same velocity<\/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\">Systematic reviews and meta\u2011analyses back this up: using VBT to autoregulate training has been shown to improve maximal strength, jump performance, and linear sprint performance in trained individuals, with effect sizes that are at least comparable\u2014and often superior\u2014to traditional percentage\u2011based programming.\u00b3\u2074<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">So when you incorporate velocity-based training, you&#8217;re not adding a gadget. You&#8217;re changing the unit you use to make decisions\u2014from &#8220;weight on the bar&#8221; to\u00a0<strong>velocity under the bar<\/strong>.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"size-full wp-image-11070 aligncenter\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/3.png\" alt=\"\" width=\"1000\" height=\"600\" title=\"\" srcset=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/3.png 1000w, https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/3-300x180.png 300w, https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/3-18x12.png 18w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<h2 id=\"2-from-velocitybased-training-theory-to-applicatio\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">2. From Velocity\u2011Based Training Theory to Application: The Three Core Pillars<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">There&#8217;s a lot of noise around VBT, but almost every effective\u00a0<strong>velocity-based training application<\/strong>\u00a0rests on three pillars:<\/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>Load\u2011velocity relationship<\/strong><\/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 &#8220;zones&#8221; or ranges for different adaptations<\/strong><\/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 thresholds inside a set<\/strong><\/p>\n<\/li>\n<\/ol>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">2.1 Load\u2011Velocity Relationship: Your Individual Map<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">For each key lift, if you measure velocity at several loads (say from ~40\u201385% 1RM), you&#8217;ll see a nearly linear drop in mean concentric velocity as load increases.\u00b9\u00b2 That&#8217;s your athlete&#8217;s\u00a0<strong>load\u2011velocity profile<\/strong>.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">You can use this 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 from submaximal work<\/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 loads based on target velocity instead of fixed percentages<\/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\">Track progress when 1RM testing is not desirable or safe<\/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>\u00a0makes life easier: instead of exporting CSVs and plotting trends by hand, the app can log every rep&#8217;s velocity, estimate 1RM from your recent training, and update that load\u2011velocity profile as the athlete adapts.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">2.2 Velocity Ranges for Different Strength Qualities<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">In\u00a0<strong>velocity-based training theory<\/strong>, different ranges of mean concentric velocity tend to bias different adaptations\u2014heavy, low\u2011velocity work favors maximal force; moderate\u2011velocity work favors power; very high\u2011velocity work skews toward elastic and ballistic output.\u00b3\u2075<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">A simplified example (values vary by exercise and individual):<\/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\">Target Quality<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Approx. Mean Concentric Velocity (m\/s)<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Typical Relative Load (ballpark)<\/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\">Heavy strength<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">\u2264 0.40<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">\u2265 80% 1RM<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Strength\u2011oriented power<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0.40\u20130.70<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">~60\u201380% 1RM<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">High\u2011velocity power \/ ballistic<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">\u2265 0.70<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">\u2264 60% 1RM<\/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 you\u00a0<strong>incorporate velocity-based training<\/strong>, you stop thinking only in terms of &#8220;5\u00d75 at 80%&#8221; and start thinking &#8220;3\u20135 sets in the 0.45\u20130.55 m\/s range today.&#8221; If the athlete is more fatigued, the same load might drop out of that range quickly\u2014so you reduce the load and keep the\u00a0<strong>adaptation target<\/strong>\u00a0instead of the original percentage.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">2.3 Velocity Loss Thresholds: How You Control Fatigue<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">The third pillar is\u00a0<strong>velocity loss<\/strong>: how much the rep velocity drops within a set compared to the fastest rep in that set.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Research from Pareja\u2011Blanco and colleagues has repeatedly shown that how much velocity you allow to drop in a set is a powerful controller of training stimulus and fatigue.\u2075\u207b\u2077<\/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\">Small velocity loss (\u224810\u201320%) \u2192 lower fatigue, strong neural and strength gains, better explosive 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\">Large velocity loss (\u224830\u201350%) \u2192 more hypertrophy and endurance, but more fatigue and longer 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\">A simplified comparison:<\/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 per Set<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Reps to Failure (roughly)<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Main Emphasis<\/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\">~10\u201320%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Far from failure<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Strength, neural adaptations, freshness<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">~20\u201330%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Moderate proximity<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Strength + hypertrophy mix<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">~30\u201340%+<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Close to failure<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Hypertrophy, local fatigue<\/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\">A smart\u00a0<strong>velocity-based training application<\/strong>\u00a0lets you set these thresholds and cuts the set when the athlete hits that planned drop\u2014exactly what Spleeft App is built to do in real time.<\/p>\n<h2 id=\"3-how-to-incorporate-velocitybased-training-as-an\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">3. How to Incorporate Velocity\u2011Based Training as an Athlete<\/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 start from the lifter&#8217;s point of view. You&#8217;re training alone or following a remote plan. How do you\u00a0<strong>incorporate velocity-based training<\/strong>\u00a0without turning every session into a science experiment?<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Step 1: Pick Your Main &#8220;Velocity&#8221; Lifts<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Start with 1\u20132 big compound lifts where technique is stable:<\/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\">Back squat or trap\u2011bar deadlift<\/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\">Bench press or incline press<\/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\">Horizontal row or chin\u2011up variation (if measured reliably)<\/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\">Use VBT on those; everything else can stay percentage\u2011based or RPE\u2011based.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Step 2: Capture Baseline Velocity with Spleeft App<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Over 1\u20132 weeks, during your normal training:<\/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\">Open\u00a0<strong>Spleeft App<\/strong>\u00a0for your main lift<\/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\">Warm up as usual, but record\u00a0<strong>every working set<\/strong><\/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\">Always push the concentric phase with\u00a0<strong>maximal intent<\/strong>\u00a0(this is critical; studies show intent is a key driver of velocity\u2011specific adaptations).\u2078<\/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\">Spleeft will start building a picture of what your average velocities look like at your usual working loads, and it can estimate your 1RM from that data instead of requiring a dangerous test day.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Step 3: Start Using Velocity Ranges Instead of Just Percentages<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">On a &#8220;strength&#8221; squat day, instead of:<\/p>\n<blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">5\u00d73 at 82.5% 1RM<\/p>\n<\/blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">You might go with:<\/p>\n<blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">5\u00d73 in the 0.40\u20130.50 m\/s range, cut the set if velocity drops by more than 20%<\/p>\n<\/blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Practically:<\/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\">Warm up into a load where your\u00a0<strong>first rep<\/strong>\u00a0is around 0.45 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\">If rep 2 and 3 stay above ~0.36 m\/s (20% drop from 0.45), that&#8217;s a good set<\/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 you see 0.30\u20130.32 m\/s on rep 3, that&#8217;s past your threshold\u2014next set, reduce load slightly<\/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\">Spleeft App handles the math and visuals, so all you see is:<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">&#8220;Rep 1: 0.46 m\/s, Rep 2: 0.44 m\/s, Rep 3: 0.39 m\/s, Velocity loss: 15% \u2192 \u2705 Set complete.&#8221;<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Step 4: Let Velocity Guide Your &#8220;Go&#8221; vs &#8220;Grind&#8221; Days<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Because velocity is sensitive to daily readiness, you can make simple rules for yourself:<\/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\">If your usual working load is moving\u00a0<strong>faster<\/strong>\u00a0than normal, add a little 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\">If everything is\u00a0<strong>slower<\/strong>\u00a0than normal at your usual load, drop the load and stay in the planned velocity range<\/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\">Research shows this kind of autoregulation via velocity allows athletes to get similar or better strength and power gains with\u00a0<strong>less junk volume and better explosive performance<\/strong>.\u2074\u207b\u2077<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">For a self\u2011coached athlete, this is the easiest point of entry: start tracking, then gradually let velocity ranges and loss thresholds refine your decisions.<\/p>\n<p><img decoding=\"async\" class=\"size-full wp-image-11073 aligncenter\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/6.png\" alt=\"\" width=\"1000\" height=\"600\" title=\"\" srcset=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/6.png 1000w, https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/6-300x180.png 300w, https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/6-18x12.png 18w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<h2 id=\"4-how-to-incorporate-velocitybased-training-as-an\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">4. How to Incorporate Velocity\u2011Based Training as an In\u2011Person Coach<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Now, shift hats. You&#8217;re on the floor with 10\u201325 athletes, a tight time window, and limited attention. How do you build a\u00a0<strong>velocity-based training application<\/strong>\u00a0that&#8217;s realistic for this chaos?<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">4.1 Start with One or Two Anchor Lifts<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">For most field and court sports, that&#8217;s usually:<\/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\">Back squat or front 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\">Bench press or trap\u2011bar deadlift<\/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\">For these anchors, you can:<\/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\">Establish a simple load\u2011velocity profile over a few weeks<\/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\">Decide on typical velocity ranges for &#8220;strength\u2011biased&#8221; vs &#8220;power\u2011biased&#8221; days<\/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\">Use modest velocity loss thresholds (10\u201325%) to control fatigue in\u2011season<\/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\">Frameworks for team\u2011sport VBT consistently recommend picking a small number of key lifts and embedding VBT into normal warm\u2011up and work\u2011set structure, rather than trying to &#8220;VBT\u2011ify&#8221; the entire program on day one.\u00b3\u2079<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">4.2 Use Spleeft App Stations for Live Feedback<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">A practical layout might be:<\/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\">Racks 1\u20133: Equipped with Spleeft App running on tablets or phones<\/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\">Every athlete logs into their profile on arriving at the rack<\/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\">You set the day&#8217;s target (for example, &#8220;Squat: 0.45\u20130.55 m\/s, 15% loss cap&#8221;)<\/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\">Now your coaching loop becomes:<\/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\">Watch the rep velocity pop up after each attempt<\/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 a whole group is slow today \u2192 drop the planned loads a bit<\/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 one athlete is chronically low in velocity for the same load vs peers \u2192 you have a red\u2011flag for fatigue, technique, or readiness<\/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\">In large squads, this approach has been highlighted as a way to individualize training load without losing control of the group session.\u00b3\u2079\u00b9\u2070<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">4.3 Example: Strength\u2011Biased vs Power\u2011Biased Block<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">For a 4\u2011week mesocycle, your squat progression might look like:<\/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\">Week<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Focus<\/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\">Velocity Loss Threshold<\/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\">1<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Strength\u2011biased<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0.40\u20130.50<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">\u2264 20%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Moderate volume<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">2<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Strength\u2011biased<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0.35\u20130.45<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">\u2264 20%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Slightly heavier loads<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">3<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Power\u2011biased<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0.50\u20130.70<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">\u2264 15%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Lighter loads, more velocity<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">4<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Power\u2011biased \/ taper<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">0.60\u20130.80<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">\u2264 10%<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Low volume, high freshness<\/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\">You don&#8217;t even need to show athletes the numbers if that overwhelms them. A color\u2011coded interface\u2014like what you can set up in Spleeft App\u2014can turn those zones into simple &#8220;green = good, red = stop&#8221; feedback.<\/p>\n<h2 id=\"5-how-to-incorporate-velocitybased-training-as-an\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">5. How to Incorporate Velocity\u2011Based Training as an Online Coach<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Online coaches live and die by data quality and communication. The good news: velocity is data\u2011rich. The bad news: data without structure is just noise.<\/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 how to turn VBT into a clean\u00a0<strong>velocity-based training application<\/strong>\u00a0for remote clients.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">5.1 Standardize How Clients Use Spleeft App<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">From day one, give your remote athletes a simple protocol:<\/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\">Always log prescribed VBT lifts in\u00a0<strong>Spleeft App<\/strong><\/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\">Always use maximal intent on the concentric<\/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\">Always film from roughly the same angle (if you want video checks)<\/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\">Always sync their sessions before your weekly review<\/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\">You can then look at:<\/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\">Average velocities for key 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\">How quickly velocity degrades across sets<\/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\">Whether they consistently overshoot or undershoot your target ranges<\/p>\n<\/li>\n<\/ul>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">5.2 Program by Velocity First, Percentage Second<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Your remote squat prescription might look like:<\/p>\n<blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Day A (strength):<br \/>\n4\u20135 sets of 3\u20134 reps<br \/>\nTarget: 0.35\u20130.45 m\/s, 15\u201320% loss cap<\/p>\n<\/blockquote>\n<blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Day B (higher\u2011velocity power):<br \/>\n4\u20136 sets of 2\u20133 reps<br \/>\nTarget: 0.55\u20130.70 m\/s, \u2264 15% loss<\/p>\n<\/blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Instead of arguing about whether they are really using 78% or 82%, you review the Spleeft 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\">If their &#8220;strength day&#8221; averages look like 0.28 m\/s \u2192 they are drifting too heavy \/ too fatigued<\/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 their &#8220;higher\u2011velocity&#8221; day has a lot of sets at 0.40 m\/s \u2192 loads are too heavy for the intended quality<\/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\">You then coach primarily\u00a0<strong>through the lens of velocity<\/strong>, sending notes like:<\/p>\n<blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">&#8220;Next week, start your working squats 5\u201310 kg lighter. I want your first rep closer to 0.60 m\/s on the higher\u2011velocity sessions so we&#8217;re really biasing that quality.&#8221;<\/p>\n<\/blockquote>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">5.3 Comparing Use Cases: Athlete vs Live Coach vs Online Coach<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">A quick comparison of how each profile typically uses VBT and Spleeft:<\/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\">User Type<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Main Goal with VBT<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">How They Use Spleeft App<\/th>\n<th class=\"border-subtler p-sm break-normal border-b border-r text-left align-top\">Biggest Benefit<\/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\">Athlete (self)<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Train smarter, avoid unnecessary fatigue<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Track key lifts, watch live velocities, adjust loads<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Instant feedback, built\u2011in autoregulation<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">In\u2011person coach<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Individualize in groups, manage fatigue<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Set zones &amp; thresholds, monitor racks in real time<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Better control of group sessions<\/td>\n<\/tr>\n<tr>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Online coach<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Program precisely, monitor remotely<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Review session logs &amp; trends, prescribe velocity targets<\/td>\n<td class=\"px-sm border-subtler min-w-[48px] break-normal border-b border-r\">Objective remote oversight<\/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\">For all three, the process of\u00a0<strong>how to incorporate velocity-based training<\/strong>\u00a0is similar\u2014the difference is how much of the decision\u2011making is live vs asynchronous.<\/p>\n<p><img decoding=\"async\" class=\"size-full wp-image-11081 aligncenter\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/14.png\" alt=\"\" width=\"1000\" height=\"600\" title=\"\" srcset=\"https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/14.png 1000w, https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/14-300x180.png 300w, https:\/\/spleeft.app\/wp-content\/uploads\/2025\/12\/14-18x12.png 18w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<h2 id=\"6-a-simple-3step-onramp-to-incorporate-velocitybas\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">6. A Simple 3\u2011Step On\u2011Ramp to Incorporate Velocity\u2011Based Training<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">If you&#8217;re overwhelmed by the amount of\u00a0<strong>velocity-based training theory<\/strong>\u00a0out there, here&#8217;s a minimalistic on\u2011ramp that respects the science without drowning you in it.\u00b9\u00b3\u2074\u2078<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Step 1: Track Before You Change<\/h3>\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\">For 2\u20133 weeks, add Spleeft App to your normal program on 1\u20132 lifts<\/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\">Don&#8217;t change loads yet\u2014just collect velocity and get athletes used to 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\">Note typical velocities at your bread\u2011and\u2011butter loads<\/p>\n<\/li>\n<\/ul>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Step 2: Add One Velocity Range and One Loss Threshold<\/h3>\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\">Choose one lift (e.g., back squat) and one day (e.g., &#8220;main strength day&#8221;)<\/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\">Define a realistic range (say 0.35\u20130.50 m\/s) and a loss cap (15\u201320%)<\/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\">Tell athletes: &#8220;Work up until your first rep is in this range, then do sets, stopping each set when you hit that loss cap.&#8221;<\/p>\n<\/li>\n<\/ul>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">Step 3: Refine with Weekly Review<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Each week, ask:<\/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\">Are velocities drifting slower over time at the same load? \u2192 maybe too much volume or poor recovery<\/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\">Are athletes able to handle heavier loads at the same velocity range? \u2192 clear sign of progress<\/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\">Are some athletes consistently hitting much bigger velocity loss than planned? \u2192 tighten thresholds or coach technique<\/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\">Within a month, you&#8217;ll have a functioning\u00a0<strong>velocity-based training application<\/strong>\u00a0that respects the underlying\u00a0<strong>velocity-based training theory<\/strong>\u00a0but feels intuitive on the floor.<\/p>\n<h2 id=\"7-common-mistakes-when-you-first-incorporate-veloc\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">7. Common Mistakes When You First Incorporate Velocity\u2011Based Training<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Even good coaches trip over similar issues at first.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">7.1 Chasing Numbers Over Movement Quality<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Velocity is a\u00a0<strong>signal<\/strong>, not the goal. If technique breaks down in the chase for higher velocities, you&#8217;re missing the point. Prioritize consistent technique, then use velocity as your guide inside that constraint.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">7.2 Ignoring Contraction Intent<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">A key message from recent narrative reviews:\u00a0<strong>explosive intent<\/strong>\u00a0is at least as important as the exact movement velocity for driving velocity\u2011specific adaptations.\u2078 If your athletes coast through reps, your velocity data will be noisy and your adaptations blunted.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">7.3 Setting Overly Narrow Velocity Targets<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Real reps fluctuate. If your target is &#8220;0.50 m\/s exactly,&#8221; you&#8217;ll drive everyone crazy. Use\u00a0<strong>bands<\/strong>\u00a0(for example, 0.45\u20130.55 m\/s) and focus on staying broadly in that zone.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">7.4 Forgetting Exercise\u2011Specific Differences<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">A &#8220;heavy&#8221; velocity in bench press is not the same as in squat. Build exercise\u2011specific expectations by collecting data and reviewing them over time, rather than forcibly applying generic charts to everyone.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">7.5 Not Educating Athletes<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">If athletes (or clients) don&#8217;t understand\u00a0<em>why<\/em>\u00a0you&#8217;re asking them to watch velocity and cut sets early, they may feel like they&#8217;re under\u2011training. A two\u2011minute explanation\u2014&#8221;we&#8217;re protecting your freshness while still hitting the strength stimulus&#8221;\u2014goes a long way.<\/p>\n<h2 id=\"8-faqs-new-topics-not-covered-above\" class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0 md:text-lg [hr+&amp;]:mt-4\">8. FAQs<\/h2>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">1. Can velocity\u2011based training be used for conditioning or only for strength work?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Yes, you can\u00a0<strong>incorporate velocity-based training<\/strong>\u00a0concepts into conditioning blocks, especially for team\u2011sport athletes. Instead of monitoring bar velocity, you might track movement velocity in sled pushes, jumps, or repeated effort med\u2011ball throws, and end the set or drill when velocity drops past a planned threshold. This keeps the quality of work high rather than letting sessions devolve into sloppy fatigue.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">2. Is velocity\u2011based training useful for older or less experienced lifters?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Absolutely, with the right constraints. For older adults or novices, the main aim is often to develop force and power safely. Using conservative loads and monitoring velocity helps ensure they are moving with intent without drifting too close to failure. The objective feedback can also be motivating\u2014seeing velocity numbers improve at the same load is a very clear sign of progress, even before maximal strength tests make sense.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">3. How does velocity\u2011based training fit into a rehab or return\u2011to\u2011play process?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">In rehab, you can use velocity as a\u00a0<strong>ceiling<\/strong>\u00a0rather than only a goal. For example, you might restrict bar velocity on certain exercises to avoid overly ballistic efforts in early stages, then gradually allow higher velocities as tissues tolerate more explosive work. Later, when re\u2011introducing heavier lifts, monitoring velocity and velocity loss can help ensure the athlete does not accumulate more fatigue than the medical \/ performance staff is comfortable with in a given session.\u00b9\u2070<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">4. Can I use VBT effectively with Olympic lifts?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">Yes, but with nuance. Weightlifting derivatives (power clean, hang clean pulls, jump shrugs) lend themselves well to velocity tracking because they are inherently high\u2011velocity movements. Instead of obsessing over exact meters per second, many coaches use velocity primarily to ensure consistency across sets: if the bar is clearly moving slower than usual at a given load, they back off slightly to keep the session in the desired high\u2011velocity zone.<\/p>\n<h3 class=\"mb-2 mt-4 font-display font-semimedium text-base first:mt-0\">5. Do I need to &#8220;calibrate&#8221; my velocity measurements regularly?<\/h3>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:inline-block [&amp;_strong:has(+br)]:pb-2\">If you&#8217;re using a consistent device and setup (such as the same phone + Spleeft App positioning in the rack), your priority is\u00a0<strong>internal consistency<\/strong>\u00a0rather than chasing some absolute lab\u2011grade number. Reproducibility studies show that modern velocity devices are typically reliable enough for day\u2011to\u2011day training decisions when used consistently in the same context.\u00b9\u2070 So, focus on using the same device, mounting, and camera angle each time, and treat velocity changes over time as the meaningful signal.<\/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\">Weakley JJS, Mann B, Banyard H, et al.\u00a0<strong>Velocity-Based Training: From Theory to Application.<\/strong>\u00a0Strength &amp; Conditioning Journal.<\/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\">GymAware.\u00a0<strong>Velocity Based Training: theory and application.<\/strong>\u00a0GymAware Blog, 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\">Banyard HG, Nosaka K, Haff GG, et al.\u00a0<strong>Effects of Velocity-Based Training on Strength and Power in Elite Athletes\u2014A Systematic Review.<\/strong>\u00a0Int J Environ Res Public Health.<\/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.\u00a0<strong>The Role of Velocity-Based Training (VBT) in Enhancing Athletic Performance in Trained Individuals: A Meta\u2011Analysis of Controlled Trials.<\/strong>\u00a0Int J Environ Res Public Health.<\/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\u2011Blanco F, Rodr\u00edguez\u2011Rosell D, S\u00e1nchez\u2011Medina L, et al.\u00a0<strong>Effects of velocity loss during resistance training on athletic performance, strength gains and muscle adaptations.<\/strong>\u00a0Scand J Med Sci Sports.<\/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\u2011Blanco F, Alcazar J, Cornejo\u2011Daza PJ, et al.\u00a0<strong>Effects of velocity loss in the bench press exercise on strength gains, neuromuscular adaptations, and muscle hypertrophy.<\/strong>\u00a0Scand J Med Sci Sports.<\/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\">Rojas\u2011Jaramillo A, et al.\u00a0<strong>Velocity-Based Training in Soccer: A Brief Narrative Review with Practical Recommendations.<\/strong>\u00a0J Func Morphol Kinesiol.<\/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\">Behm DG, Konrad A, Nakamura M, et al.\u00a0<strong>A narrative review of velocity-based training best practice: the importance of contraction intent versus movement speed.<\/strong>\u00a0Appl Physiol Nutr Metab.<\/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\">Orange ST, Metcalfe JW, Robinson A, et al.\u00a0<strong>The Implementation of Velocity-Based Training Paradigm for Team Sports: Framework, Technologies, Practical Recommendations and Challenges.<\/strong>\u00a0Sports.<\/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\">Banyard HG, Tufano JJ, Delgado J, et al.\u00a0<strong>Implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies.<\/strong>\u00a0Sports Med Open.<\/p>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Si entrenas lo suficiente, llegar\u00e1s a ese momento: dos atletas con el mismo programa, los mismos porcentajes, las mismas indicaciones... y velocidades de barra completamente diferentes. Uno vuela, el otro parece levantar a c\u00e1mara lenta. La hoja de c\u00e1lculo indica que ambos est\u00e1n a 80%, pero tus ojos (y su barra) te cuentan otra historia. <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/spleeft.app\/es\/teoria-para-incorporar-entrenamiento-basado-en-la-velocidad\/\" class=\"more-link\">Leer m\u00e1s<span class=\"screen-reader-text\"> \u00abDe la teor\u00eda a la velocidad de la barra: C\u00f3mo incorporar el entrenamiento basado en la velocidad\u00bb<\/span><\/a><\/p>","protected":false},"author":1,"featured_media":11069,"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-11026","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general"],"_links":{"self":[{"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/posts\/11026","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/comments?post=11026"}],"version-history":[{"count":7,"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/posts\/11026\/revisions"}],"predecessor-version":[{"id":11085,"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/posts\/11026\/revisions\/11085"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/media\/11069"}],"wp:attachment":[{"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/media?parent=11026"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/categories?post=11026"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spleeft.app\/es\/wp-json\/wp\/v2\/tags?post=11026"}],"curies":[{"name":"gracias","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}