A force plate measures two things: force and time. Everything else on that screen is arithmetic. If the arithmetic does not change what you do on Monday, you bought a very expensive scale.
The 90-Second Teaching
A jump mat tells you how high a kid got. A force plate tells you how he got there. That is the whole difference, and it is the entire value.
Two athletes post 22 inches. One of them dropped fast, hit the brakes hard, and left the ground in half a second. The other sank deeper, took longer, and hauled himself up. Same number on the sheet. One is ready and one is cooked. The mat cannot tell them apart. The plate can, because it is sampling force a thousand times a second on the way down as well as on the way up.
Here is the trap. That same plate will hand you over two hundred metrics, and almost every coach who buys one drowns in them, tracks nothing consistently, and quits inside a year. The discipline is subtraction. Pick one output number. Pick two or three that describe strategy. Build a real baseline. Read the trend, not the day. Then hold that exact setup for a full season so the numbers are comparable to each other.
Everything below is how to do that without wasting a season learning it the hard way.
1.The Problem Nobody Warns You About
The force plate is not hard to use. Kids love it. It gives instant feedback, it ranks them against each other, and it makes the weight room feel like a lab. None of that is the problem.
The problem is that it is too generous. A single countermovement jump on a dual force plate produces well over two hundred calculated metrics. No coach on earth can act on two hundred numbers. So one of three things happens, and I have watched all three.
| Failure | What it looks like | Root cause |
|---|---|---|
| The dashboard nobody opens | Everything gets tracked. Nothing gets read. A season of data, zero decisions made off it. | No metric was ever assigned a decision. A number with no attached action is a number you stop collecting by week eleven. |
| The metric of the month | September is jump height. October is RSI-modified. November is braking RFD, because somebody posted about it. | Switching metrics resets your baseline every time. You never build enough history on one number to know what normal looks like. |
| The number with no owner | The plate flags a kid. The report goes out. Nothing changes in the weight room or the training room. | Testing got treated as a data project instead of a coaching one. The test is the cheap part. The follow-through is the job. |
The rule that governs this whole page is the one that governs every other test I run: if the number does not change what happens on Monday, do not collect it. Read the rest with that filter on. I would rather you run four metrics for three years than forty for three weeks.
One honest exception. Sometimes the number changes nothing because nothing is wrong. A flat, healthy board is an answer too. What you cannot do is see a real problem and change nothing, because the kids notice. If nothing changes in the weight room or at practice, a kid learns his jump does not mean anything, and he stops trying on it.
2.What the Plate Actually Measures
A force plate measures force and time. That is it. Every other number on the screen, including jump height, is calculated from those two things. Phil Graham-Smith, who helped build ForceDecks, says it plainly: even jump height is an estimate, whether it comes from flight time or from impulse. Understanding that changes how much you trust a bad trial.
If the athlete is fidgeting while the system weighs him, his mass is wrong, and every impulse calculation downstream is wrong with it. Graham-Smith puts the size of that error at roughly two centimeters of jump height for a 2.2 kilogram body-weight error. That is nearly an inch of fake movement, created by a kid shifting his feet for two seconds. Hold that thought until Test Day.
The four phases of a countermovement jump
Every CMJ has the same four chapters. Knowing which chapter a number comes from is most of the skill.
| Phase | What is happening | What it tells you | Football translation |
|---|---|---|---|
| Unweighting | Athlete pulls away from the ground. Force drops below body weight and he accelerates downward. | Willingness and coordination to load fast. How aggressively he initiates. | The first move off the ball. Nobody sinks slowly and wins a snap. |
| Braking (eccentric) | Force climbs back above body weight and decelerates him to zero velocity at the bottom. | Force absorption capacity. The stiffness of the turnaround. | Plant foot on a cut. Landing off a contested ball. Absorbing contact and staying on your feet. |
| Propulsion (concentric) | Triple extension from the bottom to takeoff. | Output. Net concentric impulse decides takeoff velocity, which decides jump height. | Drive out of the stance. Coming out of a break. |
| Landing | Impact and force absorption back down through both legs. | How much force each leg accepts, and how stiffly. | Where the non-contact knee and ankle injuries actually live. |
That four-phase read is exactly how I explain it to people who do not live in this stuff. Load, push, land. Here is the version I gave our nutrition and training staff at Rhode Island in June, word for word off the recording:
Three sentences, three phases, one sport-science staff that suddenly cared. That is the whole pitch. You do not need the jargon to sell this. You need load, push, land.
Output versus strategy
This is the most useful mental split on the page. Graham-Smith frames it as a question of what you asked the athlete to do. You told him to jump as high and as fast as he could, so the honest output metrics are the ones that answer that instruction: jump height, peak power, relative peak power. Everything else on the report is strategy, describing how he produced that outcome.
Two athletes can reach identical takeoff velocity with completely different impulse shapes. Tall and thin, meaning high force over a short concentric time. Or short and wide, meaning less peak force spread over longer. Same height, different athlete, different problem. Strategy metrics separate them, and they are the ones that move first when a kid gets tired.
3.The Metrics That Earn Their Place
Reliability decides what you are allowed to track. A metric that swings six percent week to week when nothing changed cannot tell you about a four percent drop. Before you pick anything, look at what the reliability work actually found.
Mean force is the most reliable thing on the sheet
Cormack tested fifteen elite Australian Rules players on a portable force plate across morning and afternoon trials, one week apart. In a single CMJ, mean force was the most reliable variable at a coefficient of variation of 1.08 percent. More importantly, it was the only variable whose typical error was smaller than the smallest worthwhile change, which is the bar a metric has to clear before a change in it can be trusted as real.[3]
Cormack SJ et al., Int J Sports Physiol Perform, 2008.Use the average of the reps, not the best one
Claudino pooled 151 studies and 531 effect sizes. Of those studies, 85.4 percent reported the highest CMJ height and only 13.2 percent reported the average. The meta-analysis found the average was more sensitive than the highest for detecting both fatigue and supercompensation.[1] Almost everyone is using the less sensitive number out of habit. Change your report to average of three and you get a better signal for free.
Claudino JG et al., J Sci Med Sport, 2017.Be careful with RSI-modified and with RFD
Merrigan ran twenty-two subjects across ForceDecks, Hawkin Dynamics and Sparta Science with three separate baseline sessions. Test-retest reliability was poor for modified reactive strength index and for rate of force development. Systematic and proportionate bias showed up for RFD between systems, and Sparta's jump height and RSI were systematically higher than the other two.[4]
Two coaching consequences. First, mRSI is popular and noisy, so give it more sessions before you believe a move. Second, never compare a number from one brand of plate against another brand, and never compare either against a contact mat.
Merrigan JJ et al., J Strength Cond Res, 2024.Hands on hips for readiness. Arm swing for performance.
Heishman tested twenty-two NCAA Division 1 basketball players with and without an arm swing, a week apart. Most variables cleared ICC above 0.700 and CV under 10 percent in both conditions, so both are usable. The authors' split is the practical part: arm swing carries more sport-specific meaning for long-term change, while hands on hips is the better choice for detecting acute fatigue and readiness, because it removes arm-swing variability from the signal.[5]
Heishman AD et al., J Strength Cond Res, 2020.You do not have to pick one forever. Kids want to know how high they can jump, and that is worth feeding. The split I like: hands on hips on the force plate for readiness, arm swing on the jump mat for the number they brag about. Consistency on one tool, performance on the other.
The five-metric dashboard
One output metric. Three strategy metrics. One safety metric. That is the whole board. Add a sixth only when you can say out loud what decision it changes.
| Slot | Metric | Why it is on the board | The decision it drives |
|---|---|---|---|
| Output | Jump height, average of three | The number athletes understand and buy into. Average beats best for sensitivity.[1] | Long-term program verdict. Is the block working across the roster. |
| Output, normalized | Peak power per body mass | Raw watts favor big bodies. Per-kilogram is the only fair comparison across a football roster. | Position-group standards. Who is actually powerful for his size. |
| Strategy | Mean eccentric force, or braking force relative to body weight | Force absorption capacity. The most stable of the strategy metrics and the one that anchors a readiness read. | Weekly readiness. This is the axis that says true fatigue. |
| Strategy | Countermovement depth | Cheap, stable, and interpretable. A fatigued athlete sinks deeper to buy impulse. | Confirms a fatigue read. Depth up plus height flat equals compensation. |
| Strategy | Contraction time, or time to takeoff | The time axis. Height held with a longer contraction is a worse jump than the sheet admits. | Separates ready from compensating at identical height. |
| Safety | Left versus right force, both phases, with the asymmetry percentage | The whole reason most programs buy the plate. Read the limbs, not just the percentage. See Asymmetry. | Unilateral programming assignments and rehab conversations. |
Notice what is not on that list. Not RSI-modified, because of the reliability problem.[4] Not rate of force development, for the same reason. Not the fifty variations of impulse the software offers. You can add mRSI back later as a second readiness axis once you have a year of history and you know its normal swing on your own athletes. Do not start there.
4.Running a Whole Roster Through
Good news first. Throughput is not your bottleneck. VALD's own group testing guide reports thirty players tested in just over twenty minutes on CMJ, and twenty participants assessed in under twenty minutes in a combine-style session. A three-rep CMJ takes fifteen to thirty seconds once the athlete is weighed in. With a clean queue and one set of plates you can move sixty to a hundred athletes an hour. We run our football roster through one plate in two groups in about an hour. The number is real.
Your bottleneck is protocol hygiene. A hundred bad jumps an hour is worse than no jumps at all, because now you have a baseline built on garbage and you will trust it.
Setup, before anyone walks in
- Flat and solid. Plates must sit flush on a non-yielding surface. Press opposite corners. If anything rocks, adjust the feet. On a sprung floor or rubber, put down a rigid surface first. VALD's guide names plywood sheet, metal plates or thick gym flooring. A plate on a soft floor does not measure ground reaction force correctly, and nothing downstream can fix it.
- Space and cable. Roughly six inches between plates. Cables flat, under the surround mats, never pinched.
- Zero with nothing touching them. Not a foot, not a cable, not a bag.
- Test yourself first. Put your own name in the system and jump. That confirms the connection, the sync, the body weight and the display before there is a line of kids watching.
- Check the laptop can actually run it. This one bit us. The software runs fine on my personal computer, but the data needs the school network, and the school would not let us install it on a school machine. Sort out IT before the plates show up, not after.
- Charge everything the night before. Bring the spare cable.
The rep itself
- Weigh still. The athlete stands completely still while the system takes his mass. No fidgeting, no talking, no gum. This is the step everyone rushes and it is the step that poisons the data.
- Quiet stand, two to three seconds, before the dip. Wait for the ready signal.
- Hands stay on hips. Through the whole jump. For readiness testing this is not optional.[5]
- One cue, every time. "Jump as high and as fast as you can." Change the cue and you change the metric.
- Self-selected depth. Do not coach the dip during a monitoring test. Depth is one of the things you are measuring.
- No knee tuck in the air. Kids figure out fast that tucking inflates flight-time height. Watch for it and throw the rep out.
- Delete bad reps before upload. Not after. Auto-detect will happily log a sloppy squat jump as a countermovement jump.
Consistency rules that hold all season
- Same time of day. A Tuesday morning number does not compare to a Thursday afternoon number.
- Same footwear. Trainers or barefoot, pick one and write it down.
- Same warm-up. Five to ten minutes, standardized, every time. Jog, snapdowns, pogos, two submaximal jumps.
- Same place in the session. Post-warm-up, before the lift. Never after practice. Testing after practice measures how hard practice was, not how ready the athlete arrived.
- Same device. Never mix plates and mats mid-season. Contact mats read up to eight centimeters high, phone apps around two centimeters high, and force plates read lower than a Vertec. Each is usable. Switching destroys the baseline.
Where the plate fits in a normal training day
Best option: make it a station. Pick one lift day and build the plate into what you already do. If your athletic development block rotates jumps, med ball throws, sprints and overcoming isometrics, make one of those stations the plate. One group jumps on the plate while the other does med balls and isos, then they swap. Three reps each and on to the next station. You will find a rhythm that tests the whole group without adding a minute to the session.
Fallback: test during the lift. It works, and we have done it. Know what it costs you. A kid who jumps right after a set of RDLs is not the same kid who jumps straight out of the warm-up, so this week's number and next week's number may not be measuring the same thing. Sometimes you make that trade. Just make it on purpose.
Give the station to someone else. An assistant, an intern, a manager. We spent an hour to an hour and a half teaching our summer interns the whole process, and after that one intern ran jump testing every day. Find the name, zero the plates, hands on hips, stand still, three jumps, save, next guy. I do not run it myself, because I cannot coach the group and modify on the fly while I am staring at a laptop. Your job is the room.
Where the jump goes in a full testing day
If the plate is one station among several, test order matters, because fatigue from one test contaminates the next. VALD's guide sequences it like this, and it matches how I run a battery.
- Warm-up. Standardized across every group.
- Movement and range of motion. Before anything maximal, because maximal efforts change joint motion.
- Isometrics. High peak force, very little fatigue cost. Watch for potentiation carrying into the next station.
- Jumps. High effort, quick, low fatigue accumulation. This is where the plate sits.
- Sprints and change of direction. Maximal speed, real central nervous system cost.
- High-fatigue work last. Nordics, repeated sprints, anything that wrecks the posterior chain. Last, always.
Two ways to flow a group
| Approach | How it runs | Buys you | Costs you | Use it when |
|---|---|---|---|---|
| Equal distribution | Everyone starts together, spread across stations, rotating on the clock. | Speed. Clear start and finish. Easy to staff. | Less control over fatigue and test order, so groups are not cleanly comparable to each other. | In-season weekly monitoring, or any day where the clock is the hard constraint. |
| Staggered distribution | Pre-assigned groups with scheduled arrival times, every group through the same sequence. | Consistent test order and fatigue exposure. Cleaner comparisons. | More coordination. Longer total day. | Preseason profiling, combine days, anything you will compare across position groups. |
If you stagger, group athletes by size or by testing experience. It cuts changeover time at every station that needs adjustment.
Staffing a station
You do not need five people. You need the roles covered, and on a high school staff one person covers two of them.
| Role | Owns |
|---|---|
| Lead tester | Test order, flow, quality control. Calls the retest. |
| Tech manager | Setup, zeroing, troubleshooting, upload. |
| Participant coordinator | The queue and the clock. Athletes called by number, not name. |
| Data monitor | Watches results come in live and catches the bad trial while the kid is still standing there. |
One small workflow decision does more for tempo than anything else: reference athletes by number rather than by name at the station. Staff finds the profile instantly and the line keeps moving.
5.Building a Baseline That Holds
A single force plate reading tells you almost nothing. It only becomes information when you compare it to that athlete's own history. Which means the baseline is the most important data you will ever collect, and it is the part everybody rushes.
- Two familiarization sessions first. Do not record them as baseline. Athletes new to hands-on-hips jumping on plates get better at the test itself for two sessions, and that learning curve will masquerade as a training adaptation.
- Then three fresh sessions. Fresh means no vigorous activity in the prior 24 hours and no hard training in the prior 48 to 72. Three max reps each, hands on hips, self-selected depth.
- Average them. Both within a session and across the three. A baseline off one hot Monday makes every athlete look tired for the rest of the year.
- Record the standard deviation too. The spread is what lets you set a real flag later instead of borrowing someone else's percentage.
- Let it drift. Roll the baseline on a 30-day window in-season rather than freezing August forever. Athletes change. A baseline that never updates turns into a grudge.
One more thing about timing. Do not test during camp. Everybody is cooked, the numbers mean nothing, and you will spend the season comparing against a floor. Test going into week one instead, where a good number confirms the taper worked.
And do not start the plates cold in the middle of a season. If you missed the window, do not drop a brand-new test on your kids in week three. It is a new routine they have not learned, and the first few sessions will be learning, not data. Wait for the bye week or the off-season, start clean, and build the baseline properly. That is exactly where we are this year.
6.Reading Fatigue
A fatigued athlete does not immediately jump lower. He compensates. He dips deeper and spends longer on the ground building the same impulse. The sheet reads normal. The kid is a step slow on Friday. That is not a theory, it is what the force-time curve shows, and the research backs the direction.
Typical metrics miss fatigue-related change
Gathercole put eleven team-sport athletes through a fatiguing high-intensity running protocol and tracked twenty-two CMJ variables at 0, 24 and 72 hours. Most variables held a coefficient of variation under 10 percent, so the test itself is stable enough. Immediately after fatigue, mean power, peak velocity, flight time, force at zero velocity and area under the force-velocity trace all moved more than their own noise in most individuals. At 72 hours, time-related variables were still elevated even as others returned toward baseline. The authors' conclusion is the coaching point: the typical set of CMJ variables "may overlook a number of key fatigue-related changes," and practitioners should add variables that reflect the strategy the athlete used.[2]
Gathercole R et al., Int J Sports Physiol Perform, 2015.The jump predicts how much work is left in him
Watkins tested seventeen resistance-trained subjects before and after two identical heavy sessions. Vertical jump decrement measured before the second workout correlated at r = 0.648 with the drop in back squat volume they managed in that workout. Average jump decrement was 8.05 centimeters and average volume loss was 27.6 percent.[6] A pre-lift jump is a forecast of the session, not a report on the last one.
Watkins CM et al., J Strength Cond Res, 2017.That is the frame I want you to coach from:
The firing order
Read your board in this order. Not the order the software prints it.
| Order | Metric | What a drop means |
|---|---|---|
| 1st to move | Braking force relative to body weight, or mean eccentric force | Force absorption is down. This usually moves while the athlete still looks completely normal. |
| 2nd | Countermovement depth and contraction time | He is buying his height with range and time. The strategy has shifted even though the output has not. |
| Last | Jump height | By the time this drops you are late. It is the number athletes understand and the worst early warning of the three. |
Same read, in plain terms: 22 inches in half a second is ready. 22 inches in nine tenths of a second is a kid working twice as hard to stand still. Read the height alone and you pass the second one.
Setting the flag
You have two honest options. Pick one and stay with it.
Minus 10 percent from the 30-day rolling average
- Pros
- Simple. Everyone on staff understands it. Matches the 90 percent jump rule you may already be running.
- Cons
- The same percentage means different things on different metrics. Jump height swings about 3 to 3.5 percent week to week. Contact time swings 7 to 8 percent. A 10 percent flag is strict on one and loose on the other.
- Use when
- You are in year one and you do not have enough history to calculate a real spread.
0.5 SD elevated, 1.0 SD high, off that athlete's own baseline
- Pros
- Scales correctly to each metric's real noise. A noisy metric needs a bigger move to trip it, which is exactly right.
- Cons
- Needs a genuine baseline with a spread, so you cannot run it on day one. Requires a spreadsheet or a dashboard that does the math.
- Use when
- You have a full preseason of clean baseline data. This is the upgrade.
Either way, act on two consecutive flagged readings, not one. Normal day-to-day swing is 5 to 8 percent. One bad reading is a bad night of sleep or a fight with a girlfriend. Two in a row is fatigue.
And read the individuals, not the mean. A camp study logged a group mean drop of 1.5 percent on a day when individual athletes ranged from minus 27 percent to plus 8 percent. The team average said everything was fine and missed both ends of the roster. My standing instruction to my own staff is to count the athletes who cannot produce a valid jump at all, not just to read the ones who can.
One honest caveat about the word fatigue
Dan Cohen makes a point worth sitting with. Practitioners overuse the term fatigue monitoring, and it primes you to go looking for bad news. The Premier League data he worked on showed elite players getting better neuromuscularly across a competitive season when they were managed properly. His preferred framing is load response, not fatigue.
That matters for how you talk to your head coach. If every report you hand him is a list of problems, he stops reading them. Show the guys who are climbing too.
It matters even more for how you talk to the kids:
Down is not the same as broken. Tell a kid he is a little down today and here is what we are changing. Do not tell him he is fatigued and let him decide what that means.
7.Asymmetry, Honestly
This is the section that will cost me something, because I run the 10 and 15 percent thresholds on my own board at Rhode Island. Here is what the evidence actually says about them.
Those bands are the industry convention. Hawkin Dynamics uses them, NordBord reporting uses them, my app uses them. They are useful, consistent, and easy to teach. They are not a validated injury threshold, and anybody who sells them to you as one is overselling.
The prospective evidence does not support a clean cut point
Guan reviewed twenty-eight prospective cohort studies asking whether inter-limb asymmetry in lower-limb function predicts sport injury. The findings were "highly inconsistent," and the authors concluded a clear statement was not possible. Test selection, population, injury definition and the formula used to calculate asymmetry all move the answer.[8]
Guan Y et al., J Clin Med, 2022.Even the hamstring data says the imbalance was not the risk factor
Opar followed 210 elite Australian footballers through a season, with 28 new hamstring injuries. Low absolute eccentric strength was a clear risk factor: under 256 N at the start of preseason raised risk 2.7-fold (95% CI 1.3 to 5.5), and under 279 N at the end of preseason raised it 4.3-fold (95% CI 1.7 to 11.0). But between-limb imbalance greater than 10 percent did not increase the risk of future injury.[9] The weak leg mattered because it was weak, not because it was different from the other one.
Opar DA et al., Med Sci Sports Exerc, 2015.Performance effects are real but inconsistent
Bishop's systematic review of eighteen studies found inter-limb strength differences may hurt jumping, kicking and cycling performance, while jump-based asymmetry versus change of direction returned mixed findings. Every result was associative. No randomized controlled trials existed.[7]
Bishop C, Turner A, Read P, J Sports Sci, 2018.So what do you actually do
You keep measuring it. You stop treating the number as a verdict. Four rules make asymmetry useful again.
Rule 1 · Compare to your own cohort, not to 10 percent
Dan Cohen's argument is the most useful thing I have heard on this. Nobody is asymmetrical or symmetrical. The only question is whether an athlete's asymmetry is abnormally high for his sport and his group. In healthy professional footballers, concentric metric asymmetry averages around 6 percent with a spread of about 3, which is why mean plus one standard deviation lands near 10 percent and why the convention feels right on concentric numbers.
But eccentric metrics in the same healthy athletes average 12 to 16 percent. Apply a blanket 10 percent flag to an eccentric metric and you have just labeled a completely normal athlete as a problem. Cohen's alternative: flag at 0.5 standard deviations above your own cohort mean as elevated, and 1.0 above as high. Build that from your own roster's preseason data.
Look at what the blanket bands did to our own roster. Our last full snapshot had 10 athletes over 15 percent, 27 between 10 and 15, and 52 under 10. That is 37 of 89, about 42 percent of a healthy roster, flagged for review. When nearly half the team is flagged, the flag is not telling you much. That is Cohen's point, on our data.
Rule 2 · Direction beats magnitude
A kid who has been 16 percent right-dominant all season and is now 15 percent left-dominant just told you something. The magnitude barely moved. The side flipped. In collision sport that is worth a conversation about what he took last Friday. A steady 16 percent that stays on the same side, in an athlete who has always been that way, is much less interesting.
Rule 3 · Put left and right on the dashboard, not just the percentage
An asymmetry percentage going up is not automatically bad. If both limbs improved and the dominant one improved faster, that is a healthy response to training. If one limb held and the other dropped, that is a problem. Identical asymmetry percentage, opposite meaning. You cannot tell them apart without the limb values, which is exactly why my own board prints Conc Force and Ecc Force in Newtons next to the percentage.
Rule 4 · Chase the weak leg, not the gap
This is what Opar's data actually supports.[9] Closing a gap by letting the strong side stagnate is not a win. Bring the weak side up. In practice that means the flagged athlete gets extra unilateral volume on the weak side and just enough on the strong side to maintain, not a program built around making both legs equal. We add it post-lift: extra unilateral quad or hamstring work on the weak side, and we tell the kid why.
Isometrics are a great tool for this, with one catch. An isometric makes you strongest near the joint angle you trained it at. A bent-knee hamstring hold at 90 degrees mostly builds strength at 90 degrees. So train the weak side at several positions: straight leg, a slight bend around 30 degrees, and 90 degrees. You get more out of three angles than out of one.
Here is how that becomes a coaching decision instead of a spreadsheet entry, in my own words from the same staff meeting:
That last sentence is the entire value proposition of the plate. Without it, everybody gets the same RDLs. It is not that the RDLs are wrong. It is that you are guessing, and guessing is what we are trying to stop doing.
The football-specific requirement
Normalize to body mass. Always. A 310 pound offensive lineman and a 180 pound corner cannot be compared on raw Newtons, and any leaderboard that does it will hand your line every top spot and tell you nothing. Force and impulse metrics go to per-kilogram before they go on a board that crosses position groups. This is more important in football than in almost any other sport, purely because of the size spread on one roster.
It cuts the other way too, and this is the conversation you will have every spring:
Jump height alone would tell that kid he wasted a year. The plate tells him he got a lot stronger. That is a retention conversation, not just a data point.
One more note on big bodies. Heavy athletes often show a deeper, longer braking phase, and that is frequently a smart adaptation rather than a fault. They are avoiding a force spike their joints have to eat. Do not read a lineman's long eccentric duration through a defensive back's standards.
8.Profiling: DSI, EUR and RSI
Monitoring asks how is he today. Profiling asks what kind of athlete is he and what should his block look like. Different question, different cadence. Profile at milestones: start of preseason, end of preseason, end of a training block. Do not run these weekly.
Dynamic Strength Index
DSI divides CMJ peak force by isometric peak force from a mid-thigh pull. It answers one question you cannot answer by eye: is this kid rate-limited or force-limited.
| DSI | Read | Program |
|---|---|---|
| Under 0.60 | Plenty of strength, cannot express it fast. | Ballistics and plyometrics. Jump squats, drop jumps, speed work. Heavy lifting drops toward maintenance. |
| 0.60 to 0.80 | Balanced. | Concurrent. Keep both qualities moving. |
| Over 0.80 | Already explosive relative to his ceiling. He is near the top of what his strength allows. | Maximal strength. Raise the ceiling so there is more to express. |
Now the caveat, because it is a big one. Suchomel tested 88 male and 67 female NCAA Division 1 athletes and found DSI correlates very largely and negatively with IMTP peak force (r = -0.848 in men, -0.746 in women) but only small to moderately with CMJ peak force (r = 0.297 and 0.313) and trivially with CMJ peak power (r = 0.008 and 0.191).[10] In other words, DSI is mostly a readout of the isometric denominator. A low DSI usually means the athlete pulled a big IMTP, not that his jump was bad.
Their case-study analysis made the same point from the other direction: athletes with near-identical DSI scores had completely different percentile profiles and different force-time curves, and needed different training. So use DSI as one input, never as a sorting hat. Pair it with reactive strength and a 10-yard split before you assign a block.
For the record, I do not run DSI. We do not have a good mid-thigh pull setup, and a kid who is great at the isometric pull ends up with a DSI that looks bad when nothing is wrong with his jump. If you have only the plate, use EUR below instead.
Eccentric Utilization Ratio
EUR compares a countermovement jump against a static squat jump, where the athlete holds the bottom position for a five count before jumping. The difference between them is what the stretch-shortening cycle is contributing.
- Around 10 percent higher on the CMJ is typical.
- 20 percent or more means heavy reliance on elastic energy with less pure concentric force underneath. Build the strength base.
- Near zero difference means he is not using elastic energy at all. Reactive work, plyometrics, fast stretch-shortening drills.
EUR's real virtue is that it needs no isometric rig. Two jumps on the same plate, and you get the profiling question answered without owning an IMTP setup.
Reactive Strength Index
RSI is jump height divided by ground contact time, measured off a drop jump. It scores how much output the athlete gets for the time he spends on the ground, which is the quality football actually runs on. Two kids with the same 30 inch vertical, one off a stiff fast contact and one off a long soft absorb, are not the same football player.
Two cautions. First, RSI is only comparable against the same drop height, so record the box height and hold it. Second, remember that modified RSI from a countermovement jump is a different, noisier metric with poor test-retest reliability in the force-plate comparison work.[4] Do not treat RSI and mRSI as interchangeable.
If you add reactive strength, my preference is the old-fashioned version: a drop jump off the same box every time, stick the landing, read ground contact time and height. Modified RSI is easier because it is just a countermovement jump, but a slow start off the ground skews it and it is the noisier metric. Add it after a year of clean jump data, once the kids know the plates. You do not need it on day one.
9.The Board, and How to Fund It
Here is what my actual coach-facing view looks like at Rhode Island, so you can copy the shape rather than invent one.
Four tiles across the top
Counts only. I want to know in one glance how many bodies are in each bucket before I read a single name. The bucket is set by the worse of the concentric and eccentric asymmetry, so a kid who is fine on push and bad on load reads as a problem, not as an average. Our last full snapshot read 10 concern, 27 caution, 52 normal. See Asymmetry for why that split made me rethink the bands.
A flagged list, worst first
Every athlete at 10 percent or higher on either phase, sorted concern first then by magnitude. This is the shortlist I act on. Everything else can wait for the weekly review.
The full table, sortable
Force in Newtons sits next to the asymmetry percentage on purpose, so I can see whether a rising percentage came from a leg improving or a leg falling off. Every asymmetry chip prints L dom or R dom underneath it, because direction is half the signal.
A trends view, and a list of who has not tested
Trends plots every test per athlete with a dashed line at plus or minus 15 percent, so a drift is visible without reading numbers. And the untested list sits at the bottom of the page, always. The kid who never gets on the plate is invisible in every other view, and invisible is how you lose one.
What the board caught
Two reads from our own sorting, to show you why the sort buttons matter.
The fast kid with the lopsided landing
One of our most explosive young guys, near the top of the roster pound for pound on power. On the eccentric asymmetry column his left side was running the landing. Then we found out he had a right ACL in high school. That tracks. He is not trusting the right leg to take the load. Great athlete, real issue, and the only reason we know is the landing split. Pound for pound he is still solid. That is Rule 3: read the limbs and the output together.
The big man who jumps 12 and a half inches
Sort by eccentric force and one of our linemen jumps up the list. He jumps 12 and a half inches. He also lands with a ton of force. On a jump mat he is the bottom of the board. On the plate you can see what he actually brings, which is the ability to absorb huge force. Different sort, different athlete.
On the trends view, the goal for asymmetry is a flat line. One of our guys went down to 2.4 percent over three tests. That is what getting better looks like on that chart.
Where we honestly are
I want you to know the real state of this, so you do not think you are behind. We had old Hawkin plates that did not work well. This summer we got one VALD plate on a trial, and it is our first real year. We tested the roster through the summer, then the school network problem kept us off the plates once camp started, and I will not drop a new test on the kids in week three. We retest on the bye week.
We still use jump mats every week. We have used them since I took over in 2021, the kids know the routine, and that history is worth keeping. This year the plate is data collection. Next on our board: countermovement depth and time to takeoff, so the trends view covers the full firing order instead of just height and asymmetry. By this time next year we will have the process locked in. You can start at the same point we did. Start testing, teach the kids what the numbers mean, and change the program when the numbers tell you to.
You also do not need a sports science department to build a board like mine. VALD has its own dashboard, and it is fine. I built ours with Claude, with some help from ChatGPT. Export the numbers and tell it what you want: "You have the numbers. Build me a report. Build me a dashboard that tracks how these kids trend over time." That is how my board got built.
The report is the product, not the plate
I brought GPS data to our building in 2022 and it fell on deaf ears. The conversations did not turn until 2024. Two years. The tool did not buy me credibility. The report did, and specifically the report that told somebody what to do differently this week.
So build the loop before you build the dashboard. Data goes to the athletic trainer with a name and an assignment attached. Then you go back and ask what changed. Here is that exact conversation at our place:
That is not a shot at an athletic trainer. That is what new information is supposed to do to everybody in the building, including me. If nobody's job got harder when the plates showed up, nobody is using them.
The AD pitch
Do not walk in with metrics. Walk in with load, push, land, then a number, then a cost. Our real numbers, so you have a benchmark: $2,800 a year for hamstring testing, $3,500 a year for the jump plates, $6,300 a year for both. Ours arrived as a summer loaner, and the deadline was the pitch. A free trial with an expiration date is the single best lever you will ever get for this conversation, so if a vendor offers one, take it and put the return date in front of your AD early.
Then do the math out loud, because it is not close. One missed game from one preventable non-contact soft-tissue injury costs a program more than $6,300. Not in medical bills. In a starter who is not available, in a season that turns on one Friday, in a kid whose senior year gets taken from him. That is the argument. Not the metrics.
If the answer is no, the answer is no for now. Go run the no-budget version below, build the report anyway, and ask again in a year with a season of your own data attached. We go to war with the army we have.
§Objections and Questions
We cannot afford force plates. Is any of this usable?
Most of it. The logic survives the hardware. Run a weekly countermovement jump against a tape mark or a jump mat, hands on hips, best of three against a summer baseline, and gate it at 90 percent. Add a phone at 120 or 240 frames per second to estimate contact time, because the time axis is where the early warning lives. Add a Nordic or a hamstring dynamometer for the eccentric side. That gets you the same firing order at maybe two percent of the cost. What you lose is the left versus right split inside a bilateral jump, which is genuinely the thing only a dual plate can give you.
How often should we test in-season?
Weekly, one session, same day, same time. Monday is the damage check after a game. Wednesday is the recovery check. That gap is the only place an intervention actually fits. A test number is worthless if there is no time left to train after you read it. Profiling batteries with DSI and EUR run two or three times a year, not weekly.
An athlete is flagged. What do I actually change?
Cut sets off his lower body work and trim his practice reps. Hold the load percentage where it was, at 85 to 88 percent. Fatigue is a volume problem. Dropping the percentage in November produces an athlete who is weak and still tired. For an asymmetry flag, add unilateral volume on the weak side and hold the strong side at maintenance.
Can we compare our numbers to another school's?
Only loosely, and only on the same brand of plate with the same protocol. Merrigan showed systematic bias between force plate systems, with one brand's jump height and RSI reading systematically higher than the others.[4] Compare an athlete to himself. Compare your roster to your roster. Treat published norms as a rough map, not a scoreboard.
The kids are gaming the test. Now what?
Watch the jumps. Athletes tuck the knees to buy flight-time height and sandbag at 80 percent when they are unmotivated or when they suspect a good number means more running. An unwatched test is a fiction. Two fixes: put a leaderboard on a screen so there is a reason to compete, and never let a jump number be the thing that triggers a punishment.
Should we use single-leg jumps instead of a bilateral jump?
Not as your primary monitoring test. A single-leg jump gives you velocity, power and displacement asymmetries a bilateral jump cannot, which is genuinely useful in rehab. But it is a noisier signal and it is harder to execute consistently, so it doubles your testing time and halves your confidence. Run bilateral CMJ weekly. Add single-leg for return-to-play work, where the extra detail earns its cost.
§Glossary
The terms used on this page, in the order you will meet them on a ForceDecks report.
- Countermovement jump (CMJ)
- A vertical jump that starts from standing, dips, and rebounds. The dip is the countermovement. The standard monitoring test.
- Squat jump (SJ)
- A jump from a held bottom position with no dip. Removes the stretch-shortening cycle so you measure pure concentric force.
- Ground reaction force
- The force the ground pushes back with. The only thing a force plate directly measures, alongside time.
- Impulse
- Force multiplied by the time it is applied, in Newton-seconds. Net concentric impulse decides takeoff velocity, which decides jump height.
- Eccentric phase
- The lowering and braking portion of the jump. Muscles lengthening under load.
- Concentric phase
- The propulsive portion from the bottom to takeoff. Muscles shortening under load.
- Countermovement depth
- How far the center of mass drops during the dip. A fatigued athlete usually sinks deeper.
- Force at zero velocity
- Force produced at the exact bottom of the dip, where downward motion stops. A sensitive fatigue marker.[2]
- Rate of force development (RFD)
- How quickly force rises, in Newtons per second. Conceptually vital, but poorly reliable between sessions and between systems.[4]
- Reactive Strength Index (RSI)
- Jump height divided by ground contact time, from a drop jump. Only comparable at the same drop height.
- Modified RSI (mRSI)
- Jump height divided by time to takeoff, from a countermovement jump. Safer than a drop jump, but noisier than RSI and mixes two unlike quantities.
- Dynamic Strength Index (DSI)
- CMJ peak force divided by isometric peak force. Largely driven by the isometric denominator.[10]
- Eccentric Utilization Ratio (EUR)
- Countermovement jump compared against squat jump. The no-isometric-rig substitute for DSI.
- Isometric mid-thigh pull (IMTP)
- A maximal pull against a fixed bar. Gives an absolute strength number without putting a novice under a heavy barbell.
- Coefficient of variation (CV)
- How much a measurement bounces around when nothing has changed, as a percentage. A metric cannot detect a change smaller than its own CV.
- Smallest worthwhile change (SWC)
- The smallest change that matters in practice. A metric is trustworthy when its typical error is smaller than its SWC.[3]
- Intraclass correlation coefficient (ICC)
- How consistently a test ranks the same athletes across repeat sessions. Above 0.700 is the usual working floor.
- Asymmetry percentage
- The difference between limbs, expressed against the stronger side. Sign convention on my board: negative is left dominant, positive is right dominant.
Deeper Reading
Practitioner and vendor sources used on this page. Named separately from the peer-reviewed references below on purpose. These are experienced people and useful material, but they are not research, and the numbers in them have not been through review.
References
- Claudino JG, Cronin J, Mezêncio B, McMaster DT, McGuigan M, Tricoli V, Amadio AC, Serrão JC. The countermovement jump to monitor neuromuscular status: A meta-analysis. J Sci Med Sport, 2017;20(4):397-402. PubMed ↗
- Gathercole R, Sporer B, Stellingwerff T, Sleivert G. Alternative countermovement-jump analysis to quantify acute neuromuscular fatigue. Int J Sports Physiol Perform, 2015;10(1):84-92. PubMed ↗
- Cormack SJ, Newton RU, McGuigan MR, Doyle TL. Reliability of measures obtained during single and repeated countermovement jumps. Int J Sports Physiol Perform, 2008;3(2):131-44. PubMed ↗
- Merrigan JJ, Strang A, Eckerle J, Mackowski N, Hierholzer K, Ray NT, Smith R, Hagen JA, Briggs RA. Countermovement jump force-time curve analyses: reliability and comparability across force plate systems. J Strength Cond Res, 2024;38(1):30-37. PubMed ↗
- Heishman AD, Daub BD, Miller RM, Freitas EDS, Frantz BA, Bemben MG. Countermovement jump reliability performed with and without an arm swing in NCAA Division 1 intercollegiate basketball players. J Strength Cond Res, 2020;34(2):546-558. PubMed ↗
- Watkins CM, Barillas SR, Wong MA, Archer DC, Dobbs IJ, Lockie RG, Coburn JW, Tran TT, Brown LE. Determination of vertical jump as a measure of neuromuscular readiness and fatigue. J Strength Cond Res, 2017;31(12):3305-3310. PubMed ↗
- Bishop C, Turner A, Read P. Effects of inter-limb asymmetries on physical and sports performance: a systematic review. J Sports Sci, 2018;36(10):1135-1144. PubMed ↗
- Guan Y, Bredin SSD, Taunton J, Jiang Q, Wu N, Warburton DER. Association between inter-limb asymmetries in lower-limb functional performance and sport injury: a systematic review of prospective cohort studies. J Clin Med, 2022;11(2):360. PubMed ↗
- Opar DA, Williams MD, Timmins RG, Hickey J, Duhig SJ, Shield AJ. Eccentric hamstring strength and hamstring injury risk in Australian footballers. Med Sci Sports Exerc, 2015;47(4):857-65. PubMed ↗
- Suchomel TJ, Sole CJ, Bellon CR, Stone MH. Dynamic strength index: relationships with common performance variables and contextualization of training recommendations. J Hum Kinet, 2020;74:59-70. PubMed ↗
Talk About It Inside
Got a kid sitting at 18 percent eccentric asymmetry and no idea what to do with him? Trying to pick five metrics off a report with two hundred on it? Building the AD pitch and want a second set of eyes on the number? Drop it in the Insiders thread. I answer every one.