Bar speed tells you how heavy a load is for an athlete today. A percentage of last month's 1RM can't. Lift with full intent and the bar slows in an almost straight line as the load climbs, so three or four warm-up sets on a velocity device give you a profile to program from.
These tools are a guide only. They work from the numbers you enter. They can't see technique, fatigue or how the athlete is feeling, and they don't replace a coach or a properly periodised program. Treat every estimate as a starting point for the session, not a test result.
Why coaches use bar speed
Strength moves from day to day with sleep, training and stress, so a fixed percentage of an old 1RM can be too heavy one week and too light the next. Bar speed tracks relative load, so the target adjusts to the athlete in front of you.
Three or four warm-up sets give you an estimated 1RM every session, without a fatiguing max test. It's an estimate, off by around 10% on average, so it's for setting training loads, not for testing day.
Ending a set once the bar has slowed by a set amount controls fatigue. In an 8-week squat trial, stopping at 20% loss gave bigger jump gains than 40% loss, with 40% fewer reps.
What you need: a device that measures bar speed (a linear position transducer, a bar-mounted sensor or a validated phone app), set up the same way every session. Every rep has to be lifted as fast as possible. A rep at a comfortable tempo tells you nothing about load.
Load-Velocity Calculator
Pick the lift, then enter each warm-up load and the velocity of the fastest rep. The calculator fits a line, extends it down to the speed a true max moves at, and turns that into an estimated 1RM and a load for every target.
How to use it
- Warm up through 3 or 4 loads, light to heavy. Start where the bar moves no faster than about 1 m/s and finish near 0.5 m/s or slower.
- Do 1 or 2 reps per load as fast as possible, rest fully, and note the velocity of the fastest rep.
- Enter each load and velocity. Check the line fit. Below 0.9 usually means one rep wasn't done at full intent.
- Pick a target % or a bar speed and load the bar. If the first working rep is clearly slower than the target velocity, the athlete is less ready than the profile says, so take some weight off. Track this set sends the plan to the tracker, and Copy session gives you text to share.
1Your lift
Pre-filled with the published group average for the lift. If you've tested this athlete's true max on your device, use their own number. Use the same velocity measure for the max and the warm-ups.
2Your gym
UnitsLoads round to what your plates can make. Two 1.25 kg plates give a 2.5 kg jump.
3Your warm-up sets
Use at least two loads, ideally four spread from light to heavy. Blank rows are ignored. Example numbers are loaded; replace them with your athlete's.
4Plan the session
Estimated 1RM
Your load-velocity profile
Solid line through your sets, dashed where it's extended to the estimated max. Background bands are the velocity zones in section 04 (not shown for the power clean).
Today's target
Loads for this athlete
| % of est. 1RM | Load (kg) | Velocity (m/s) | Zone |
|---|
Loads rounded to the nearest 2.5 kg. Velocities come from this athlete's own line, not a group chart.
How this is worked out
A straight line is fitted through your load and velocity pairs (least squares). The estimated 1RM is the load where that line reaches the velocity at 1RM, the minimal velocity threshold. Each pre-filled threshold is the group average from the study named under the exercise, and every one of them varies by a few hundredths of a m/s between people. A 0.03 m/s error in the threshold moves the estimate by a few percent, which is why an athlete's own tested value beats any group number.
Across 20 studies, this method missed the true 1RM by about 10% on average and tended to overestimate it (Greig et al. 2023). Use it to set training loads, and test directly when you need the real number.
Velocity Loss Tracker
The fastest rep comes early. As fatigue builds the bar slows, and how much you let it slow decides what the set trains. Log each rep as it happens and the tracker tells you when to rack it.
How to use it
- Choose a cut-off. 20% suits most athletes chasing strength and speed. Go higher only in a block aimed at muscle size.
- Lift every rep as fast as possible and enter its velocity straight after. The fastest rep becomes the reference.
- Stop when the status turns to Stop the set, even if the athlete has reps left. That's the point.
- Tap New set before the next set so it gets its own reference rep. Copy set gives you a summary to paste into your notes.
1Set your cut-off
Velocity loss allowedLower cut-offs keep sets fast and fresh. Higher cut-offs push closer to failure. The evidence below explains the trade.
2Log the reps
Press Enter or tap Add rep after each one.
Set status
Rep by rep
The yellow line is the cut-off. Orange bars have crossed it. An example set is loaded; tap New set to start your own.
Read the evidenceHide the evidence
Stopping earlier kept the jump
Pareja-Blanco et al. 2017 gave two groups of young men the same 8-week squat program with the same relative loads. The only difference was when each set ended: once the bar had slowed by 20%, or by 40%.
Figure 01
20% loss against 40% loss, 8 weeks of squats
Jump height
+9.5% vs +3.5%Countermovement jump improved more in the 20% group.
Work done
40% fewer repsThe 20% group got there with far less total volume.
Squat strength
Similar1RM gains didn't separate the groups.
Muscle size
40% aheadMore quadriceps growth in the 40% group, along with a loss of the fastest (type IIX) fibres.
Data from Pareja-Blanco et al. 2017. A 2025 trial from the same research group, Sánchez-Valdepeñas et al. 2025, compared 20% and 40% cut-offs with and without blood flow restriction and again found the 20% groups ahead for strength and jump height.
The Force-Velocity Curve
Heavy loads move slowly, light loads move fast, and power (force × velocity) peaks in between. Every lift, jump and sprint an athlete does sits somewhere on that line.
Figure 02 / Interactive
Slide along the curve
Schematic. A straight force-velocity line, the model used in jump and squat profiling, with power calculated as force × velocity. On a straight line, power peaks at half of maximum force and half of maximum velocity. Where each exercise sits is approximate and moves from athlete to athlete.
Same power, different athletes
Two athletes can produce the same peak power with very different shapes. One is strong but slow off the mark, the other quick but short of force. Pierre Samozino and Jean-Benoît Morin's jump profiling compares an athlete's line with the one that would maximise their jump, and the gap tells you which end to train.
Figure 03 / Tap to change
Reading an athlete's profile
The line is flatter than optimal: plenty of speed, not enough force. The program leans on heavy strength work, near-maximal squats and loaded jumps at the force end.
The line sits close to optimal. The job is to lift the whole line, so the program mixes heavy, moderate and light, fast work across the curve.
The line is steeper than optimal: strong, but slow to apply it. The program shifts toward light, fast work: unloaded and assisted jumps, throws and plyometrics.
Schematic. All three athletes have the same peak power. The dashed line is the optimal profile for that power. Line shapes are illustrative, not measured athletes.
Read the evidenceHide the evidence
Does training the gap work?
Jiménez-Reyes et al. 2017 split 84 people into an individualised group (sorted into force-deficit, velocity-deficit and well-balanced), a standard strength program and a control group. After 9 weeks, the individualised training improved jumping performance more than the program that treated everyone the same.
Participants
84Assigned to individualised, standard or control groups.
Program
9 weeksResistance training aimed at each person's profile, or at no one in particular.
Result
Targeted wonTraining to the profile improved jump performance more than standard training.
Velocity Zones
Bryan Mann's five zones split the curve by bar speed, from slow and heavy to fast and light. They're the most widely used VBT shorthand, and they're a coaching framework, not thresholds tested in a trial.
Near-maximal loads that move slowly however hard the athlete pushes. This is where the 1RM gets built.
Heavy loads driven as fast as possible. Heavy enough to build strength, fast enough to train intent.
Moderate loads, where power work begins. Strength comes first and speed second.
Lighter loads moved fast. Speed comes first and strength second.
Very light or unloaded, all about overcoming inertia quickly from a standstill.
Programming Notes
Every number on this page assumes the athlete is trying to move the bar as fast as possible on every rep. Sánchez-Medina et al. 2017 found that, under that condition, the first rep of a set already gives a good estimate of relative load in the full squat. A rep done at a comfortable tempo tells you nothing about load.
The link between bar speed and %1RM also holds as an athlete gets stronger. In González-Badillo and Sánchez-Medina 2010, the bench press relationship stayed stable after six weeks of training lifted 1RM. That's the practical case for VBT: the profile updates every session, while a percentage chart goes stale between tests.
Keep the inputs consistent. The same device, the same velocity measure (mean, mean propulsive or peak, never mixed) and the same range of motion. Warm-up sets double as the profile, so it costs nothing extra in session time.
Every rep at full intent, or the velocity means nothing.
Same device, same lift, same depth, every time.
Stop the set at the cut-off, not at failure.
What this research can't tell you
Most of the load-velocity and velocity-loss research recruited young men. Of the lifts in the calculator, only the free-weight back squat has a separate published threshold for women, and the Smith machine study found women moved slower at 1RM than men. The thresholds are group averages with real spread between people. The power clean estimate is the weakest of the set: in the study behind it, the error was too large to track strength changes. The trials measured squat strength, jump height and muscle size, not race times or sprint performance.
The force-velocity material comes mainly from jumping. Profiles are specific to the task they're measured in, so a squat-jump profile doesn't tell you an athlete's sprint profile. The velocity zones are a coaching framework rather than a tested prescription.
This is general advice based on research and guidelines, and it doesn't replace correct coaching or periodisation for your athletes. Warm up properly before any heavy or fast session: see the RAMP Warm-Up guide.
References
- Bobbert, M.F., Lindberg, K., Bjørnsen, T., Solberg, P. and Paulsen, G. (2023) The force-velocity profile for jumping: what it is and what it is not. Medicine & Science in Sports & Exercise, 55(7), pp.1241–1249.
- Conceição, F., Fernandes, J., Lewis, M., González-Badillo, J.J. and Jiménez-Reyes, P. (2016) Movement velocity as a measure of exercise intensity in three lower limb exercises. Journal of Sports Sciences, 34(12), pp.1099–1106.
- Dello Stritto, E., Romagnoli, R., Nocchi, C. and Piacentini, M.F. (2025) How does load selection and sex influence 1RM prediction using the minimal velocity threshold during free-weight back squat? Sports, 13(7), 224.
- Fitas, A., Santos, P., Gomes, M., Pezarat-Correia, P. et al. (2024) Influence of sex and strength differences on the load-velocity relationship of the Smith-machine back squat. Sport Sciences for Health, 20, pp.87–96.
- González-Badillo, J.J. and Sánchez-Medina, L. (2010) Movement velocity as a measure of loading intensity in resistance training. International Journal of Sports Medicine, 31(5), pp.347–352.
- Greig, L., Aspe, R.R., Hall, A., Comfort, P., Cooper, K. and Swinton, P.A. (2023) The predictive validity of individualised load-velocity relationships for predicting 1RM: a systematic review and individual participant data meta-analysis. Sports Medicine, 53(9), pp.1693–1708.
- Haff, G.G., Garcia-Ramos, A. and James, L.P. (2020) Using velocity to predict the maximum dynamic strength in the power clean. Sports, 8(9), 129.
- Janicijevic, D., Şentürk, D., Akyıldız, Z., Gu, Y. and Garcia-Ramos, A. (2024) Hexagonal barbell deadlift one-repetition maximum estimation using velocity recordings. International Journal of Sports Medicine, 45(11).
- Jiménez-Reyes, P., Samozino, P., Brughelli, M. and Morin, J.-B. (2017) Effectiveness of an individualized training based on force-velocity profiling during jumping. Frontiers in Physiology, 7, 677.
- Mann, B. (2016) Developing Explosive Athletes: Use of Velocity Based Training in Training Athletes. 3rd edn.
- Morán-Navarro, R., Martínez-Cava, A., Escribano-Peñas, P. and Courel-Ibáñez, J. (2021) Load-velocity relationship of the deadlift exercise. European Journal of Sport Science, 21(5), pp.678–684.
- Pareja-Blanco, F., Rodríguez-Rosell, D., Sánchez-Medina, L., Sanchis-Moysi, J., Dorado, C., Mora-Custodio, R., Yáñez-García, J.M., Morales-Alamo, D., Pérez-Suárez, I., Calbet, J.A.L. and González-Badillo, J.J. (2017) Effects of velocity loss during resistance training on athletic performance, strength gains and muscle adaptations. Scandinavian Journal of Medicine & Science in Sports, 27(7), pp.724–735.
- Sánchez-Medina, L., Pallarés, J.G., Pérez, C.E., Morán-Navarro, R. and González-Badillo, J.J. (2017) Estimation of relative load from bar velocity in the full back squat exercise. Sports Medicine International Open, 1(2), pp.E80–E88.
- Sánchez-Valdepeñas, J., Asín-Izquierdo, I., Cornejo-Daza, P.J., Mariscal, G., Romagnoli, R., Alcazar, J., González-Badillo, J.J., Sáez de Villarreal, E. and Pareja-Blanco, F. (2025) Effects of different velocity loss thresholds in full squat with and without blood flow restriction on strength gains, neuromuscular adaptations, and muscle hypertrophy. Scandinavian Journal of Medicine & Science in Sports.
- Weakley, J. et al. (2026) The load-velocity profiles and exercise-specific velocity zones for seven commonly used weightlifting exercises. PLoS One, 21(7), pp.1–13.
Figures and citations checked against the published papers, October 2026.

