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Velocity PotentialThe world's most advanced pitching velocity predictor

Powered by 1,500+ professional athlete evaluations and the same XGBoost model used to evaluate MLB prospects. Enter your stats, get a science-backed velocity ceiling, percentile ranking, and your exact gap to the next level.

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Step 1 of 3 — Your Athletic Profile

Age *

Height *

Weight (lbs) *

Current Velocity (mph) *

Position

Current Level

Age *

Height *

Weight (lbs) *

Current Velocity *

⚡ XGBoost Athletic Metrics — Ranked by Predictive Power

Based on the TopVelocity.ai database (1,500+ evaluations) + peer-reviewed research. Enter any metrics you have measured — each one increases prediction accuracy. The database shows these are the top independent predictors of pitching velocity, confirmed by multiple peer-reviewed studies.

🏆 Tier 1 — Highest Predictive Power (Feature Importance >0.45)

Broad Jump (inches) FI: 0.575 Database: p25=88" · p50=96" · p75=102"

Lateral Broad Jump L+R (in) FI: 0.553 Combined L+R distance · p50=156"

Vertical Jump (inches) FI: 0.489 Database: p50=26" · MLB avg 24.4" (Hoffman 2009)

Grip Strength Right (lbs) FI: 0.490 Database: p50=105 lbs · p75=120 lbs

Grip Strength Left (lbs) FI: 0.494 Database: p50=105 lbs · p75=115 lbs

Wingspan (inches) FI: 0.459 Fingertip to fingertip · p50=72"

🔥 Tier 2 — High Predictive Power (FI 0.40–0.45)

10-Yard Sprint (seconds) FI: 0.428 Database: p50=1.70s · Elite: <1.60s

Total Body Strength (lbs) FI: 0.401 Squat + Bench + Clean · p50=400 lbs

Shoulder ER/IR Strength (lbs) FI: 0.420 Isometric ER strength · p50=63 lbs · Cross et al. 2023

Vertical Jump @ 225 lbs (in) FI: 0.494 Weighted jump · p50=20" · p75=22"

📐 Tier 3 — Mobility Metrics (FI 0.12–0.20)

Hip Total Rotation — Trail (°) FI: 0.200 IR + ER combined · p50=67° · Robb et al. 2010

Hip Total Rotation — Lead (°) FI: 0.200 IR + ER combined · p50=65°

Shoulder Total Rotation (°) FI: 0.120 ER + IR · p50=150° · normal: 160–180°

Rotational Power Right (watts) FI: 0.165 Med ball rotational power · p50=588W

44M+

YouTube Views

1,500+

Database Evals

M.S.

Kinesiology

20+

Years Proven

AI Velocity Report · TopVelocity.ai Database

Your Velocity Analysis

🧠 XGBoost Model · Professional Database

Velocity Potential

mph ceiling

Current Velocity

mph

Untapped Gain

mph available

Age Percentile

vs peers

TopVelocity AI Score™

Your Score

—

Calculated from the TopVelocity.ai database 🧠 AI Model

Age Comparison

How You Stack Up
— Age --

Your Development Roadmap

What's Between You
and the Next Level

NEXT LEVEL

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XGBoost Athletic Analysis

Your Metrics vs.
Professional Database

Data-Identified Limiters

What's Holding
Your Velocity Back

Based on your profile and the TopVelocity.ai database, these are your highest-leverage areas:

Peer-Reviewed Research

The Science Behind
Your Prediction

Broad jump (FI=0.575) and lateral broad jump (FI=0.553) are the #1 and #2 velocity predictors in the TopVelocity.ai database. These horizontal explosive power measures reflect drive-leg force production — the foundation of the kinetic chain. They outpredict vertical jump, grip strength, and 10-yard sprint in the XGBoost model trained on 1,500+ professional evaluations.

TopVelocity.ai XGBoost Model — 1,500+ evaluations (Pourciau, M.S. Kinesiology, PhD-C Health Sciences)

Grip strength (FI: R=0.490, L=0.494) and vertical jump (FI=0.489) are top-5 predictors, confirmed by peer-reviewed research. Hoffman et al.'s 2-year study of 343 MLB/minor league players found these were the primary separators between professional levels. Cross et al. (2023) further confirmed shoulder rotational strength independently predicts pitch velocity in collegiate pitchers.

Hoffman et al. (2009) PMID: 19826310 · Cross et al. (2023) PMID: 35333195

Wing span (FI=0.459), 10-yard sprint (FI=0.428), and total body strength (FI=0.401) are significant independent predictors. A systematic review confirmed hip strength and compound lift strength are well-established velocity predictors. Chiu et al. found height, sprint ratio, and jump ratios significantly predicted velocity in 64 professional tryout pitchers.

Systematic review PMID: 36809769 · Chiu et al. (2022) PMID: 35290348

Hip total rotation (trail FI=0.200, lead FI=0.200) and shoulder total arc (FI=0.120) are measurable mobility predictors. Robb et al. found trail hip total arc rotation correlated r=0.50 with ball velocity in professional pitchers. Ide et al. (2026) confirmed pitchers with >160° shoulder total arc pitched significantly faster (85.0 vs 82.4 mph, p=0.024).

Robb et al. (2010) Am J Sports Med · Ide et al. (2026) J Eff Sports Phys Ther · Stodden et al. (2005) J Appl Biomech

XGBoost machine learning trained on 1,500+ professional evaluations achieves sub-3 mph prediction error. When you enter more advanced metrics, prediction accuracy increases. The model incorporates 14 independent athletic predictors spanning explosiveness, strength, wingspan, mobility, and rotational power — all validated against the same professional database that evaluates MLB prospects.

TopVelocity.ai Database · Machine Learning model (Pourciau, M.S. Kinesiology) · Peer-reviewed: Cheatham et al. PMC: PMC7301661

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⚡ Next 3X Velocity Camp — Limited Spots Remaining

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Velocity PotentialThe world's most advanced pitching velocity predictor

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