Why should pitchers measure velocity and track their lifts?

This is the final part of our training principles series. The first six parts covered transfer, overload, recovery, progression, variation and individual differences. Each of them asks a question that only data can answer: is this load above what you are used to, and is this program working for this athlete? Here is what to measure and what the research says each measure can and cannot tell you, plus a way to review it without overthinking.

The goal in one sentence

Training should be a carefully measured, periodized dose of general work and sport-specific technical and tactical work that always challenges you while staying inside your capacity, so it keeps driving adaptation. Each part of that sentence has support. Adaptation needs a load above habitual [1]. Fatigue masks fitness, so you need to know how fresh you are [1]. And individual responses vary so much that only your own data can locate "inside your capacity" (part 6 covers why).

Bar speed tells you how strong you are today

In 120 men performing the bench press, the speed of the bar predicted the percentage of one-rep max being lifted almost perfectly (R² = 0.98), and the velocity at each percentage stayed stable even after strength rose about 9 percent [2]. In practice, a velocity tracker can estimate how strong you are today without ever testing a max.

Bar speed can also tell you when to end a set. In an 8-week squat study, stopping sets at 20 percent velocity loss produced similar strength gains to grinding on to 40 percent, with 40 percent fewer reps. The shorter sets also improved jump height more (9.5 versus 3.5 percent) [7]. For pitchers, who want power more than size, ending sets before speed falls apart makes sense.

No velocity device? Reps in reserve works well. Rating how many more reps you could have done tracks bar speed closely, especially in experienced lifters [8].

Adjust to today: autoregulation

Adjusting load to how you actually perform on the day is called autoregulation. One meta-analysis of 8 studies in athletes found autoregulated programs beat fixed loading for maximal strength (effect size 0.64) [3]. A broader meta-analysis of 15 studies found no significant difference in one-rep max gains, roughly 2 kg in either direction [4]. The fair summary: autoregulation is at least as good as a fixed plan, and it uses whatever capacity you actually have that day. Driveline points to arm-feel-driven long toss, with no fixed distance or time, as the clearest example of autoregulated throwing [17].

Numbers over guesses

See your velocity and strength trends in one place

Pitch AI tracks your peak velocity trend and logs every strength session, so you can see whether your training is moving the needle week to week.

Is a velocity drop a sign of fatigue?

Often, yes. In a 90-pitch simulated game with 11 high school and college pitchers, velocity fell about 0.28 mph per inning while medial elbow torque rose after the third inning [5]. In 7 MLB pitchers, fastball velocity in the final inning was about 5 mph lower than in the first [10]. In 10 college pitchers who threw until they felt fatigued, velocity was significantly lower in the last two innings than the first two [11].

The evidence has clear limits. These are small samples, and the college study found mechanics and arm forces stayed remarkably similar as fatigue set in [11]. No study has validated a single "stop" number. A falling velocity trend at the same effort still deserves respect, and average velocity on a fixed drill tends to be a better readiness signal than one peak throw. That idea mirrors jump-testing research, where the average of several jumps detected fatigue more sensitively than the best jump [9].

Velocity also helps set intensity. When throws were guided by a velocity target instead of perceived effort, elbow torque at "50 percent" and "75 percent" came down more reliably [12]. If you have access to a velocity reading, it is a better intensity dial than feel. Keep the device and the drill the same each time and compare trends, since single readings vary.

How you feel is real data

A systematic review found that self-reported measures such as mood and soreness tracked training load more sensitively and consistently than many commonly used objective markers, including blood tests and heart-rate measures [6]. Monitoring experts add that no single marker captures fatigue, so a small set of measures works better than one [15]. A thirty-second daily check-in is real monitoring. Session RPE (effort rating multiplied by minutes) is another validated way to quantify a session [16].

Why track bodyweight?

Body mass was the strongest single correlate of in-game fastball velocity in a study of Division I pitchers (r = 0.58) [13]. That is only a correlation, and it does not prove that gaining weight adds velocity, but it makes bodyweight worth watching. Tread advises in-season pitchers to weigh in daily under the same conditions because many lose significant weight across a season [14]. A sudden drop is a recovery and nutrition warning sign. See how pitchers should think about nutrition.

Your simple dashboard

Four measures cover most of what a pitcher needs:

Review it once a week and make one decision: push, hold, vary or back off. Look for an upward velocity or strength trend, any sudden jump in weekly throwing load (our workload guide explains why spikes matter), the direction of your bodyweight, and whether the week had clear hard and easy days. Each of the four decisions maps to an earlier part of this series: push, hold and recover, vary or step back.

Measuring without overthinking

The point of measurement is fewer, better decisions. Skip daily max testing. Collect the same few numbers the same way and judge trends over weeks; a single bad reading is noise until it repeats. For a teenager, logging can take two minutes a day. For a parent, a weekly glance at four trends beats a dozen opinions.

What to do this week

Set up the four-line dashboard. Pick your fixed velocity drill and main lift and record a baseline, then start a daily readiness check. On Sunday, review the week and choose one of the four decisions. If you want help connecting the numbers to mechanics, our article on video review for pitching mechanics covers the other half of the picture. To revisit where it all starts, go back to part 1 on training transfer.

Frequently asked questions

Measure it

Turn principles into decisions with Pitch AI

Pitch AI tracks your peak velocity trend and logs every strength session. Its daily check-in tracks sleep and readiness, and the acute-to-chronic workload trend shows whether your throwing is ramping or spiking. Pitch Lab logs velocity, spin, axis and movement for every pitch you develop.

References

1. Zatsiorsky VM, Kraemer WJ (2006). Science and Practice of Strength Training, 2nd ed. Human Kinetics.
2. González-Badillo JJ, Sánchez-Medina L (2010). Movement velocity as a measure of loading intensity in resistance training. International Journal of Sports Medicine, 31(5), 347-352. https://doi.org/10.1055/s-0030-1248333
3. Zhang X, Li H, Bi S, et al. (2021). Auto-regulation method vs. fixed-loading method in maximum strength training for athletes: a systematic review and meta-analysis. Frontiers in Physiology, 12, 651112. https://doi.org/10.3389/fphys.2021.651112
4. Hickmott LM, Chilibeck PD, Shaw KA, Butcher SJ (2022). The effect of load and volume autoregulation on muscular strength and hypertrophy: a systematic review and meta-analysis. Sports Medicine - Open, 8(1), 9. https://doi.org/10.1186/s40798-021-00404-9
5. Okoroha KR, Meldau JE, Lizzio VA, et al. (2018). Effect of fatigue on medial elbow torque in baseball pitchers: a simulated game analysis. American Journal of Sports Medicine, 46(10), 2509-2513. https://doi.org/10.1177/0363546518782451
6. Saw AE, Main LC, Gastin PB (2016). Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review. British Journal of Sports Medicine, 50(5), 281-291. https://doi.org/10.1136/bjsports-2015-094758
7. Pareja-Blanco F, Rodríguez-Rosell D, Sánchez-Medina L, et al. (2017). Effects of velocity loss during resistance training on athletic performance, strength gains and muscle adaptations. Scandinavian Journal of Medicine and Science in Sports, 27(7), 724-735. https://doi.org/10.1111/sms.12678
8. Zourdos MC, Klemp A, Dolan C, et al. (2016). Novel resistance training-specific rating of perceived exertion scale measuring repetitions in reserve. Journal of Strength and Conditioning Research, 30(1), 267-275. https://doi.org/10.1519/JSC.0000000000001049
9. Claudino JG, Cronin J, Mezêncio B, et al. (2017). The countermovement jump to monitor neuromuscular status: a meta-analysis. Journal of Science and Medicine in Sport, 20(4), 397-402. https://doi.org/10.1016/j.jsams.2016.08.011
10. Murray TA, Cook TD, Werner SL, Schlegel TF, Hawkins RJ (2001). The effects of extended play on professional baseball pitchers. American Journal of Sports Medicine, 29(2), 137-142. https://doi.org/10.1177/03635465010290020501
11. Escamilla RF, Barrentine SW, Fleisig GS, et al. (2007). Pitching biomechanics as a pitcher approaches muscular fatigue during a simulated baseball game. American Journal of Sports Medicine, 35(1), 23-33. https://doi.org/10.1177/0363546506293025
12. Lizzio VA, Smith DG, Jildeh TR, et al. (2020). Importance of radar gun inclusion during return-to-throwing rehabilitation following ulnar collateral ligament reconstruction in baseball pitchers: a simulation study. Journal of Shoulder and Elbow Surgery, 29(3), 587-592. https://doi.org/10.1016/j.jse.2019.08.014
13. King BW, Snow TK, Millard-Stafford M (2025). Peak lower-extremity power unadjusted for body mass predicts fastball velocity in collegiate baseball pitchers. Journal of Strength and Conditioning Research, 39(2), 217-226. https://doi.org/10.1519/JSC.0000000000004966
14. Brewster B. In-Season Training Blueprint: A Training and Nutrition Template for Pitchers Ages 16+. Tread Athletics (practitioner guide, undated).
15. Halson SL (2014). Monitoring training load to understand fatigue in athletes. Sports Medicine, 44(Suppl 2), S139-S147. https://doi.org/10.1007/s40279-014-0253-z
16. Foster C, Florhaug JA, Franklin J, et al. (2001). A new approach to monitoring exercise training. Journal of Strength and Conditioning Research, 15(1), 109-115. https://pubmed.ncbi.nlm.nih.gov/11708692/
17. Boddy K, Daniels M (2017). Hacking the Kinetic Chain: Advanced Pitching. Driveline Baseball.

Related reading

• Pitching workload and arm healthAcute vs chronic load and why spikes matter.
• Why video review matters for pitching mechanicsThe other half of the data picture.
• How baseball pitchers should think about nutritionWhat bodyweight trends are telling you.
• Why does the same pitching program work for one kid and not another?Part 6: why responses differ.
• What training actually transfers to pitching velocity?Part 1: specificity and transfer.