And this is exactly where\u00a0Spleeft App<\/strong>\u00a0earns its place in your toolbox: it gives you objective velocity data and simple daily checks so\u00a0Readiness-Based Training<\/strong>\u00a0becomes a repeatable process, not just a coach\u2019s hunch.<\/p>\r\n\r\n At its core,\u00a0Readiness-Based Training<\/strong>\u00a0means you use daily information about how prepared an athlete is\u2014physically and mentally\u2014to tweak training load, volume, or intensity on that day.<\/p>\r\n That “readiness” signal usually comes from a mix of:<\/p>\r\n\r\n Neuromuscular markers (jump height, bar velocity, sprint metrics)\u00b9<\/p>\r\n<\/li>\r\n \t Autonomic state (heart rate<\/a> variability, resting heart rate)\u00b2<\/p>\r\n<\/li>\r\n \t Subjective wellness (sleep, soreness, mood, stress)\u00b3<\/p>\r\n<\/li>\r\n \t Performance history (how they\u2019ve actually been moving the last few weeks)<\/p>\r\n<\/li>\r\n<\/ul>\r\n It\u2019s not about throwing the plan away every time someone yawns in warm-up. It\u2019s about building a system that:<\/p>\r\n\r\n Detects meaningful drops in readiness<\/p>\r\n<\/li>\r\n \t Distinguishes “green, yellow, red” type days<\/p>\r\n<\/li>\r\n \t Adjusts\u00a0how hard<\/strong>\u00a0and\u00a0how fast<\/strong>\u00a0they move while keeping the main goal of the session intact<\/p>\r\n<\/li>\r\n<\/ol>\r\n That\u2019s why\u00a0Readiness-Based Training<\/strong> pairs so naturally with velocity-based work: velocity tells you, in real time, how today\u2019s nervous system is responding to the same load.\u2074<\/p>\r\n\r\n If you\u2019ve coached for more than a month, you\u2019ve seen it:<\/p>\r\n\r\n Same athlete, same 100 kg squat, wildly different bar velocity and bar path depending on the day.<\/p>\r\n<\/li>\r\n \t Some weeks where everything feels light, others where warm-up sets feel like a max.<\/p>\r\n<\/li>\r\n<\/ul>\r\n Research on elite youth jumpers and rugby players shows clear relationships between changes in training load, neuromuscular readiness (jumps), and perceptual fatigue. Heavier weeks typically drive down jump performance<\/a> and increase soreness and fatigue scores, and once load is tapered, neuromuscular readiness and wellness rebound.\u00b9\u2075<\/p>\r\n Heart rate variability (HRV) research tells a similar story: HRV reflects how the autonomic nervous system is coping with cumulative stress\u2014not just training, but life.\u00b2 Lower, unstable HRV trends often accompany heavy blocks or accumulating fatigue; more stable, higher HRV often aligns with better performance and recovery.<\/p>\r\n Even simple pre-training wellness scores (sleep, energy, soreness) have been shown to predict player output in team sports: athletes who reported feeling better before sessions produced more external load and tolerated higher work.\u00b3<\/p>\r\n In short, readiness is noisy\u2014but not random. The noise contains information, and\u00a0Readiness-Based Training<\/strong>\u00a0is about learning to read that signal.<\/p>\r\n Velocity-based training grew out of two observations:<\/p>\r\n\r\n There is a predictable inverse relationship between load and\u00a0velocity<\/strong>\u2014heavier loads move slower.\u2074<\/p>\r\n<\/li>\r\n \t Even at the same load,\u00a0velocity<\/strong> drops when an athlete is more fatigued or less ready.\u2074<\/p>\r\n<\/li>\r\n<\/ol>\r\n That means if 100 kg usually moves at 0.50 m\/s in the squat, but today it\u2019s stuck at 0.42 m\/s, your athlete is not in the same state\u2014no matter what the spreadsheet says.<\/p>\r\n Spleeft App<\/strong>\u00a0uses this to make\u00a0Readiness-Based Training<\/strong>\u00a0practical in the weight room:<\/p>\r\n\r\n You define target velocity zones instead of just percentages (e.g., 0.60\u20130.75 m\/s for power work)<\/p>\r\n<\/li>\r\n \t Spleeft shows you live\u00a0velocity<\/strong>\u00a0for each rep<\/p>\r\n<\/li>\r\n \t You adjust load up or down until the athlete hits the zone on that day<\/p>\r\n<\/li>\r\n<\/ul>\r\n At the same time, you can use a simple readiness test\u2014like a few unloaded or lightly loaded jump squats\u2014to establish a daily\u00a0velocity<\/strong>\u00a0baseline. If those jumps are significantly slower than usual, you already know to be more conservative.<\/p>\r\n\r\n You don\u2019t need a lab to implement\u00a0Readiness-Based Training<\/strong>. Think in three lanes:<\/p>\r\n\r\n Neuromuscular readiness<\/strong><\/p>\r\n\r\n Quick CMJ or jump squat test on Spleeft<\/a> (best of 2\u20133 jumps)\u00b9<\/p>\r\n<\/li>\r\n \t Key bar-velocity checkpoint on a main lift (e.g., first work set in the squat)<\/p>\r\n<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t Autonomic readiness<\/strong><\/p>\r\n\r\n Optional HRV \/ resting HR trend (morning measurement or weekly checks)\u00b2<\/p>\r\n<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t Subjective readiness<\/strong><\/p>\r\n\r\n 3\u20135 question micro-survey: sleep quality, muscle soreness, stress, energy\u00b3<\/p>\r\n<\/li>\r\n<\/ul>\r\n<\/li>\r\n<\/ol>\r\n Readiness-Based Training<\/strong>\u00a0doesn\u2019t require all three every single day, but combining objective\u00a0velocity<\/strong> with at least a simple wellness check dramatically improves your sense of where the athlete is really at.\u00b2\u00b3<\/p>\r\n\r\n Data is useless without rules. Here\u2019s a coach-friendly way to turn Spleeft data and basic wellness into daily calls.<\/p>\r\n\r\n Over 2\u20133 weeks, collect:<\/p>\r\n\r\n Average CMJ<\/a> or jump-squat\u00a0velocity<\/strong>\u00a0(best rep) on “normal” days<\/p>\r\n<\/li>\r\n \t Typical\u00a0velocity<\/strong>\u00a0for your standard first work set on key lifts (e.g., 3\u00d73 squat at ~0.50 m\/s)<\/p>\r\n<\/li>\r\n \t Average wellness scores (sleep, soreness, mood, energy)<\/p>\r\n<\/li>\r\n<\/ul>\r\n Use simple thresholds:<\/p>\r\n\r\n Green day<\/strong><\/p>\r\n\r\n Jump \/ key-lift\u00a0velocity<\/strong>\u00a0\u2265 97\u2013100% of baseline<\/p>\r\n<\/li>\r\n \t Wellness within normal range<\/p>\r\n<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t Yellow day<\/strong><\/p>\r\n\r\n Jump \/ key-lift\u00a0velocity<\/strong>\u00a0~93\u201397% of baseline<\/p>\r\n<\/li>\r\n \t Mild dips in wellness<\/p>\r\n<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t Red day<\/strong><\/p>\r\n\r\n Jump \/ key-lift\u00a0velocity<\/strong> < 93% of baseline or large drop in wellness\u00b2\u2074<\/p>\r\n<\/li>\r\n<\/ul>\r\n<\/li>\r\n<\/ul>\r\n Examples for a heavy lower-body day:<\/p>\r\n\r\n Green: run the day as planned, or add a small top set if\u00a0velocity<\/strong>\u00a0is flying<\/p>\r\n<\/li>\r\n \t Yellow: reduce load by 2.5\u20135%, keep volume, keep\u00a0velocity<\/strong>\u00a0in the planned zone<\/p>\r\n<\/li>\r\n \t Red: switch to a lighter\u00a0velocity<\/strong>\u00a0zone (e.g., from heavy strength to power), cut volume by 30\u201350%, or move the heavy work later in the week<\/p>\r\n<\/li>\r\n<\/ul>\r\n Spleeft lets you see instantly whether the changes are working: if you drop load and\u00a0velocity<\/strong>\u00a0returns to your target zone, you\u2019re where you want to be.<\/p>\r\n This is\u00a0Readiness-Based Training<\/strong>\u00a0in action: simple rules, consistent metrics, decisions tied to real outputs instead of gut feelings alone.<\/p>\r\n\r\n You don\u2019t need a randomized trial to know that rigid plans sometimes backfire\u2026 but we do have research that supports more individualized, readiness-aware approaches.<\/p>\r\n HRV-guided endurance training protocols have shown that adjusting daily intensity based on HRV (as a proxy for readiness) can improve performance as much or more than fixed plans in trained athletes, largely by avoiding digging too deep on “red” days.\u2075<\/p>\r\n In the strength world, velocity-based approaches that adjust load to hit\u00a0velocity<\/strong> zones (rather than blindly chasing percentages) better account for daily readiness and still drive strength and power gains.\u2074<\/p>\r\n So while we don\u2019t yet have a perfect RCT labelled “Readiness-Based Training<\/strong>\u00a0vs Spreadsheet-Based Training” for every sport, the pattern is clear:<\/p>\r\n\r\n Monitoring neuromuscular and wellness markers helps anticipate performance dips and manage fatigue\u00b9\u00b3<\/p>\r\n<\/li>\r\n \t HRV and similar autonomic tools, when used with context, help guide training density and intensity\u00b2\u2075<\/p>\r\n<\/li>\r\n \t Velocity<\/strong>-based load adjustment keeps training intent intact while respecting daily fluctuations\u2074<\/p>\r\n<\/li>\r\n<\/ul>\r\n Spleeft lives at the intersection of those pieces by making the\u00a0velocity<\/strong>\u00a0side incredibly easy to track and interpret.<\/p>\r\n\r\n Let\u2019s run through a few real-world scenarios so this doesn\u2019t stay theoretical.<\/p>\r\n\r\n Context: congested match schedule, limited time in the weight room.<\/p>\r\n Daily flow:<\/p>\r\n\r\n Players complete a 30-second wellness check on their phones (sleep, soreness, energy, mood)<\/p>\r\n<\/li>\r\n \t In the warm-up, each athlete does 3 jump squats with a light bar tracked by Spleeft<\/p>\r\n<\/li>\r\n \t First working set of squats or trap-bar deadlifts: check\u00a0velocity<\/strong>\u00a0against baseline<\/p>\r\n<\/li>\r\n<\/ol>\r\n Decision rules:<\/p>\r\n\r\n Green (good wellness, normal\u00a0velocity<\/strong>): hit planned heavy or strength-power work<\/p>\r\n<\/li>\r\n \t Yellow: same exercises, lighter load, maintain\u00a0velocity<\/strong>, cut one set<\/p>\r\n<\/li>\r\n \t Red: switch to power-focused session (lighter load, higher\u00a0velocity<\/strong>), maybe pair with mobility and tissue work<\/p>\r\n<\/li>\r\n<\/ul>\r\n Over weeks, you see which players repeatedly show low readiness after away games, long travel, or exam periods. With Spleeft\u2019s longitudinal data,\u00a0Readiness-Based Training<\/strong>\u00a0becomes a living conversation with the schedule, not a static piece of paper.<\/p>\r\n\r\n Context: high training density, frequent high-intensity exposures.<\/p>\r\n Weekly structure:<\/p>\r\n\r\n 2 heavy lower-body days (squat\/hinge focus)<\/p>\r\n<\/li>\r\n \t 2 track days (acceleration + high-velocity work)<\/p>\r\n<\/li>\r\n \t 1\u20132 lighter technical or upper-body sessions<\/p>\r\n<\/li>\r\n<\/ul>\r\n Readiness integration:<\/p>\r\n\r\n Morning: optional HRV \/ resting HR check to flag systemic fatigue\u00b2<\/p>\r\n<\/li>\r\n \t Pre-lift: CMJ or jump-squat best\u00a0velocity<\/strong>\u00a0on Spleeft<\/p>\r\n<\/li>\r\n \t In-lift: target\u00a0velocity<\/strong>\u00a0zones on squats and pulls<\/p>\r\n<\/li>\r\n<\/ul>\r\n If jump\u00a0velocity<\/strong>\u00a0is down and HRV is suppressed,\u00a0Readiness-Based Training<\/strong>\u00a0might call for:<\/p>\r\n\r\n Dropping heavy day after a brutal track session<\/p>\r\n<\/li>\r\n \t Swapping in a lighter power session with tight\u00a0velocity<\/strong>\u00a0loss thresholds (e.g., stop sets when\u00a0velocity<\/strong>\u00a0drops 10\u201315%)<\/p>\r\n<\/li>\r\n<\/ul>\r\n Instead of “push through because it\u2019s written,” you get “push when the system can actually adapt.”<\/p>\r\n There are many ways to track readiness\u2014HRV, wellness apps, force plates, GPS. Each has pros and cons. Spleeft\u2019s edge is that it connects\u00a0readiness<\/strong>\u00a0directly to\u00a0what you\u2019re actually doing in the gym<\/strong>.<\/p>\r\n With Spleeft you can:<\/p>\r\n\r\n Build and update individual load\u2013velocity<\/strong> profiles for key lifts\u2074<\/p>\r\n<\/li>\r\n \t Use first-set\u00a0velocity<\/strong>\u00a0as a readiness indicator and auto-adjust load<\/p>\r\n<\/li>\r\n \t Enforce\u00a0velocity<\/strong>\u00a0loss thresholds inside sets to control fatigue<\/p>\r\n<\/li>\r\n \t Track trends over weeks or months to see how different blocks affect readiness<\/p>\r\n<\/li>\r\n<\/ul>\r\n In other words, Spleeft doesn\u2019t just tell you\u00a0how<\/em>\u00a0ready the athlete is; it tells you\u00a0what to do with the barbell<\/em>\u00a0today.<\/p>\r\n This may be the most coach-friendly version of\u00a0Readiness-Based Training<\/strong>: no extra lab visits, no separate testing day. Just a small layer of\u00a0velocity<\/strong>-driven intelligence on top of what you already do.<\/p>\r\n\r\n No. HRV and advanced metrics can add value, but you can start\u00a0Readiness-Based Training<\/strong>\u00a0with:<\/p>\r\n\r\n A short wellness questionnaire<\/p>\r\n<\/li>\r\n \t A simple jump or bar-velocity<\/strong>\u00a0check on Spleeft<\/p>\r\n<\/li>\r\n<\/ul>\r\n From there you can layer in HRV or more advanced tools if you have the bandwidth and context to interpret them properly.\u00b2\u00b3<\/p>\r\n\r\n It can if you overreact. The goal isn\u2019t to rewrite the whole program each morning; it\u2019s to make small, targeted adjustments\u2014mostly in load and volume\u2014based on clear rules. Your progression (week-to-week structure, phases, key lifts) stays the same.\u00a0Readiness-Based Training<\/strong>\u00a0just changes how aggressively you chase numbers on any given day.<\/p>\r\n\r\n As few as you can get away with while still making confident decisions. For many squads, that might be wellness + one neuromuscular marker (jump or key-lift\u00a0velocity<\/strong>). For higher-performance environments, you might add HRV trends or periodic force-plate testing. Too many metrics without clear decisions attached just create dashboard fatigue.<\/p>\r\n\r\n Yes\u2014as long as the system is simple and the emphasis stays on learning good technique and consistent habits. For younger or less experienced athletes, you might use\u00a0Readiness-Based Training<\/strong>\u00a0mainly to avoid overloading during exam weeks or tournaments: lighter days when wellness is clearly down, normal days otherwise. Spleeft\u2019s\u00a0velocity<\/strong>\u00a0feedback can also help them learn what “moving with intent” actually feels like.<\/p>\r\n\r\n Start small and show the data. For example, collect two weeks of first-set\u00a0velocity<\/strong>\u00a0on squats and compare it with how players say they feel. Most will\u00a0see<\/em>\u00a0that their “heavy” days line up with lower\u00a0velocity<\/strong>, poor sleep, or long travel. Once people see the pattern,\u00a0Readiness-Based Training<\/strong>\u00a0stops sounding like a buzzword and starts looking like common sense\u2014with Spleeft as the proof on screen.<\/p>\r\n\r\n MSC Physical Performance & CEO SpleeftApp<\/p>\r\n Dedicated to improving athletic performance and cycling training, combining science and technology to drive results.<\/p>\r\n\r\n McMahon JJ et al. “Ready or Not, Here I Come: A Scoping Review of Methods Used to Assess Player Readiness Via Indicators of Neuromuscular Function in Football Code Athletes.” Strength Cond J. 2022.<\/p>\r\n<\/li>\r\n \t Shaffer F, Ginsberg JP. “An Overview of Heart Rate Variability Metrics and Norms.” Front Public Health. 2017. (Applied in athlete monitoring and readiness frameworks.)<\/p>\r\n<\/li>\r\n \t Sports Performance Tracking. “Does Wellness Rating Influence Performance?” Case analysis with Oregon Ducks football athletes.<\/p>\r\n<\/li>\r\n \t Pareja-Blanco F et al. and VBT reviews: “Effects of Velocity-Based Training on Strength and Power in Elite Athletes.” Systematic reviews of\u00a0velocity<\/strong>-based prescription and readiness.<\/p>\r\n<\/li>\r\n \t HRV-guided training protocols in endurance athletes: cluster-randomized and longitudinal work on using HRV and well-being to steer daily training.<\/p>\r\n<\/li>\r\n \t Training load, neuromuscular readiness, and fatigue relations in elite youth and team-sport athletes.<\/p>\r\n<\/li>\r\n \t Application of session-RPE and TRIMP for internal load monitoring and their relation to fatigue and performance.\u2077<\/p>\r\n<\/li>\r\n \t Practical VBT and readiness guidance from applied sport technology providers (e.g., GymAware, Perch) on using\u00a0velocity<\/strong> deviations to adjust daily training.<\/p>\r\n<\/li>\r\n \t Emerging multisource readiness models combining HRV, resting HR, movement\u00a0velocity<\/strong>, and wellness for individualized,\u00a0Readiness-Based Training<\/strong> decisions.<\/p>\r\n<\/li>\r\n<\/ol>","protected":false},"excerpt":{"rendered":" Most training plans are written like weather forecasts made a month in advance: they look clean on paper and then reality shows up with its own ideas. Your athletes don\u2019t arrive in the gym as blank slates. They arrive with exams, long travel days, minor knocks, bad sleep, big wins, breakups, caffeine experiments gone wrong\u2026 … <\/p>\nDOWNLOAD SPLEEFT APP NOW FOR iOS, ANDROID AND APPLE WATCH!<\/a><\/h2>\r\n
What is Readiness-Based Training (and what it is not)?<\/h2>\r\n
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Why readiness fluctuates more than most programs admit<\/h2>\r\n
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\r\nHow velocity unlocks daily readiness (and where Spleeft fits)<\/h2>\r\n
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A simple readiness triad: neuromuscular, autonomic, and subjective<\/h2>\r\n
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Green, yellow, red: turning data into decisions<\/h2>\r\n
Step 1: Establish baselines<\/h3>\r\n
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Step 2: Define traffic-light zones<\/h3>\r\n
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Step 3: Attach clear actions (with Spleeft)<\/h3>\r\n
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Readiness-Based Training vs fixed-plan training<\/h2>\r\n
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Practical examples: how to run Readiness-Based Training with Spleeft<\/h2>\r\n
Example 1: In-season team sport squad<\/h3>\r\n
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Example 2: Off-season strength block for a sprinter<\/h3>\r\n
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\r\nWhere Spleeft adds the most value in Readiness-Based Training<\/h2>\r\n
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FAQs<\/h2>\r\n
1. Do I need HRV and fancy tech to run Readiness-Based Training?<\/h3>\r\n
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2. Won\u2019t adjusting training every day make progress random?<\/h3>\r\n
3. How many readiness metrics should I track?<\/h3>\r\n
4. Can Readiness-Based Training work with youth or amateur athletes?<\/h3>\r\n
5. How do I sell this to skeptical athletes or coaches?<\/h3>\r\n
![\"Iv\u00e1n](\"https:\/\/spleeft.app\/wp-content\/uploads\/2022\/05\/d19fb150-ce63-4121-9e2e-c0f192ce37f6_.jpg\" "\\"\\"")
<\/div>\r\n\r\nIv\u00e1n de Lucas Rogero<\/a><\/h3>\r\n
References<\/h2>\r\n
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