The Future of Coaching Starts With Data: What 15 Reports Taught Us
The Future of Coaching Starts With Your Data
What 15 Reports Taught Us
We've been building personalized Athlete Performance Reports for PTS members. No names below — just the numbers, the trends, and the stories your training history actually tells.
Over the past few months, I've been working on something behind the scenes at Prototype: personalized Athlete Performance Reports. These are full coaching documents — not leaderboard screenshots or generic fitness summaries — built from your entire WODIFY training history, wearable data, InBody scans, and coaching notes. Every PR you've set. Every benchmark you've tested. Year-by-year strength progressions. And a specific, data-grounded coaching prescription designed to be talked through in person.
I've completed 15 of these reports so far. The athletes range from 18 weeks to 13+ years of membership. Ages 24 to 65. Brand-new members and founding-era athletes. CrossFit group class regulars and individual program design clients. Men and women. Every one of them found something in their data they didn't know was there.
Here's what 15 reports, anonymized and aggregated, look like when you lay them side by side.
The Dataset at a Glance
That 1,586 PR count only includes the 6 athletes where we had clean PR tallies. The actual number across all 15 is significantly higher. And "training days" means unique dates in the gym — not entry counts. A day where you did a back squat and a metcon counts as one day, not two.
Who's in the Data
The 15 athletes break down across a wider range than you might expect. This isn't a dataset of competitive CrossFitters or 25-year-old former college athletes. It's a cross-section of the real PTS membership.
By Gender
By Time at PTS
| Membership Duration | Athletes | What It Looks Like |
|---|---|---|
| Under 2 years | 3 | Newer members — still in the rapid-gain phase, setting PRs frequently. One is on an individual program design. |
| 2–5 years | 5 | Mid-career athletes — base established, Rx rates climbing, training consistency becoming a defining trait. |
| 5–10 years | 2 | Long-timers — strength peaks maintained or still rising, conditioning becomes the variable that moves up and down with life. |
| 10+ years | 5 | Founding-era members — over a decade of logged data each, still training, still setting career bests on major lifts. The longest has trained at PTS for 11+ years starting at age 54. |
By Age
We now have confirmed ages for all 15 athletes. The average age is 42. The median is 40. The youngest is 24; the oldest is 65. This is not a young person's dataset.
| Age Bracket | Athletes | What the Data Shows |
|---|---|---|
| 20s | 3 | Rapid-gain phase — two set massive deadlift PRs (400 lbs, 295 lbs), one rehabbed a major injury with 97% compliance. All still early in their training curves. |
| 30s | 4 | Peak strength window — includes career bests on all three major lifts in year 11, a 570 lb deadlift, and founding-era members still climbing. Ages 36–39. |
| 40s | 5 | The largest group. 638 PRs across a decade. Rx rates doubling. Transitions from group classes to individual programming. Ages 40–49. Proving that the 40s are not a decline — they're a different kind of peak. |
| 50s | 2 | A 56-year-old man pulling 375 lbs with 6 consecutive Opens. A 56-year-old woman who reversed an osteoporosis diagnosis through strength training. Both still setting PRs in 2026. |
| 60s | 1 | 65 years old, 11+ years of training, 1,500+ sessions, front squat PR at age 64, weighted chin-up in her late 50s, 8 Open seasons, and her highest-volume training year is right now. |
By Training Style
| Training Type | Athletes | Description |
|---|---|---|
| CrossFit Group Classes | 12 | Standard PTS programming — strength + conditioning mix, benchmark workouts, Open participation |
| Individual Program Design | 2 | Custom TrueCoach programming — structured blocks, rehab integration, sport-specific goals. One started here from day one; the other transitioned from 10 years of group classes into individualized programming. |
| Hybrid (Personal Training + Group Classes) | 1 | A combination of 1-on-1 personal training sessions and group class attendance across 11+ years — the only athlete in the dataset training in both formats simultaneously. |
What the Barbell Says
Fourteen of 15 athletes had barbell data tracked. Here's what the lift numbers look like across the full dataset — no names, just ranges and milestones.
| Lift | Athletes Tracked | Range | Milestone Count |
|---|---|---|---|
| Deadlift | 14 | 180 – 570 lbs | 7 athletes over 300 lbs · 4 over 400 |
| Back Squat | 14 | 120 – 460 lbs | 8 athletes over 300 lbs |
| Front Squat | 13 | 105 – 365 lbs | 4 athletes over 275 lbs |
| Bench Press | 13 | 88 – 315 lbs | 6 athletes over 200 lbs |
| Barbell Hip Thrust | 9 | 135 – 510 lbs | 6 athletes over 225 lbs |
| Clean | 8 | 100 – 315 lbs | 3 athletes over 240 lbs |
| Snatch | 5 | 175 – 225 lbs | All five over 175 lbs |
The headline: One athlete went from a 100 lb deadlift to 400 lbs in 26 months. Another hit a 510 lb hip thrust. A 56-year-old woman who had never touched a barbell hit a 101 lb bench press and a 185 lb deadlift. A 65-year-old grandmother set a front squat PR at age 64 — after 10 years of training. A 13-year member walked in the door already deadlifting 500 lbs and has added 70 more since. And a member in their 11th year of training set career bests on back squat, deadlift, AND bench press — all in the same calendar year.
Career Gains — Biggest Documented Jumps
| Movement | Starting Weight | Current PR | Gain | Timeframe |
|---|---|---|---|---|
| Deadlift | 100 lbs | 400 lbs | +300 lbs | 26 months |
| Back Squat | 125 lbs | 335 lbs | +210 lbs | ~13 years |
| Back Squat | 145 lbs | 355 lbs | +210 lbs | ~12 years |
| Front Squat | 95 lbs | 285 lbs | +190 lbs | ~13 years |
| Deadlift | 205 lbs | 385 lbs | +180 lbs | ~13 years |
| Clean | 105 lbs | 285 lbs | +180 lbs | ~13 years |
| Hip Thrust | 90 lbs | 233 lbs | +143 lbs (+159%) | 18 weeks |
| Snatch | 85 lbs | 225 lbs | +140 lbs | ~13 years |
| Hip Thrust | 75 lbs | 230 lbs | +155 lbs | 5 years |
Volume & Consistency
These aren't short-burst commitments. The data across 14 athletes shows what sustained training actually looks like — including the dips, the comebacks, and the years where life got in the way.
264 individual training sessions in a single year — by a 65-year-old member in her 11th year at PTS. 241 group class workouts in another year by a different athlete — nearly 5 sessions per week for 12 straight months. Five athletes have hit 200+ in at least one year. One member logged 923 training days over 5+ years without a gap longer than 21 days — while managing a multi-year knee limitation that required modifying hundreds of workouts. Another completed 877 of 916 assigned sessions across 6 years of individual programming — a 95.7% completion rate. A third completed 96 sessions in 18 weeks at 97% compliance — including a full program redesign after a Grade III AC joint separation.
Dips in volume tell stories too. One athlete's gym attendance dropped by half during a year of night school — but they still PRed the deadlift, completed every Open workout Rx, and logged 170 miles of running outside the gym. Another member's peak-to-current volume decline maps directly to the demands of running a business. Volume isn't a loyalty test. It's a snapshot of what was possible that year.
Conditioning & Competition
Rx Rate Progressions
The Rx rate — the percentage of metcon workouts completed at the prescribed weight and movement standard — is one of the clearest long-arc fitness indicators in the WODIFY system. Here's what it looks like across the dataset:
| Athlete Profile | Starting Rx Rate | Current Rx Rate | Timeline |
|---|---|---|---|
| 10+ year male member | 36% | 83% | 12 years |
| 3-year female member | 24% | 45% | 3 years |
| 12-year male member | 86% | 79% | 12 years (maintained elite) |
| 3-year female member | — | 66% | 3 effective years |
| 1.25-year male member | — | 69% → 75% | 15 months (rising) |
| 10+ year male member | — | 60% | 10 years (consistent) |
One athlete nearly tripled their Rx rate across a decade — from completing roughly a third of metcons as prescribed to four out of five. Another doubled in three years without dropping training frequency. These aren't spikes. They're gradual, earned progressions.
Benchmark Bests Across the Dataset
| Benchmark | Best Time in Dataset | Athletes Logged |
|---|---|---|
| Grace(30 C&J @ 135) | 1:34 | 4 |
| Fran(21-15-9 Thrusters/Pull-ups) | 4:19 | 3 |
| Helen(3 RFT: 400m/KB/Pull-ups) | 10:12 | 5 |
| Murph(1mi/Pull-ups/Push-ups/Squats/1mi) | 36:55 (no vest) | 5+ |
| Jackie(Row/Thrusters/Pull-ups) | 5:17 | 5 |
| Annie(DU/Sit-ups) | 6:31 | 4 |
CrossFit Open
Across the dataset, athletes have logged a combined 43+ Open seasons. One member has competed in 12 consecutive Opens. Another completed 10 straight years, going Rx in the vast majority. A 65-year-old athlete has competed in 8 Open seasons, including Rx completions in the Masters 55+ division. One athlete went from Scaled in year one to full Rx across all three workouts in 2026 — during a year when night school cut gym time in half. The Open isn't just a competition in this data. It's a multi-year fitness benchmark.
Beyond the Gym Floor
Several reports integrated data sources beyond WODIFY — and the picture gets richer every time we add a layer.
One athlete logged 170 miles of running across 47 sessions outside the gym — invisible in WODIFY but representing serious aerobic volume. March 2026 alone: 44.8 miles across 8 runs, including a 13.1-mile long run at 9:34/mi pace and 150 bpm average heart rate. That's half marathon distance at a controlled aerobic intensity.
One athlete's Zepp/AmazFit data revealed 46% of nights under 6 hours of sleep — the single most actionable finding in the entire report. This person is setting all-time PRs on insufficient sleep, which means their actual ceiling is higher than what the numbers currently show.
Two athletes had body composition data integrated. One individual program client started at 164 lbs, 14.3% body fat, 80.5 lbs skeletal muscle mass — establishing a measurable hypertrophy target. The other — a 65-year-old female athlete — had a bioimpedance scan showing 19.1% body fat and a phase angle of 7.9° at age 56. For context, the average phase angle for women aged 50–59 is approximately 5.5–6.0°. Her reading indicates exceptional cellular integrity — a direct, measurable reflection of years of consistent resistance training.
Three athletes had TrueCoach logs integrated — one covering a full 2-year transition from CrossFit group classes to individualized programming (including a persistent knee rehab narrative), another documenting an 18-week program through a shoulder separation and full return, and a third tracking 877 completed sessions across 6 years of 1-on-1 coaching that evolved from mixed-modal CrossFit into a longevity-focused strength program. This data adds coaching context that WODIFY alone can't capture.
The Stories the Data Tells
Numbers are the skeleton. Context is what makes them mean something. Here are a few of the stories that came out of these 14 reports — still no names, but every detail is real and pulled directly from the data.
A member started training at 52 years old. She had never seriously lifted weights. After a wrist fracture, a DEXA scan revealed osteoporosis. Rather than stepping back, she leaned into strength training — deadlifts, squats, hip thrusts, pressing. Four years later, her most recent DEXA showed enough improvement to be reclassified from osteoporosis to osteopenia. She now deadlifts 185 lbs, bench presses 101 lbs, and hip thrusts 230 lbs. Her busiest training month ever was September 2025 — 14 sessions in a single month, in her fourth year of lifting.
A 24-year-old individual program client — fresh off a half Ironman — was 6 weeks into a hypertrophy block when a skiing accident caused a Grade III AC joint separation. The program was completely redesigned around the injury: lower body training continued uninterrupted; upper body was rebuilt from 5 lb lat pulldowns. Eight weeks later, he was pressing pain-free. His hip thrust went from 90 lbs to 233 lbs during that same period. Compliance rate through the entire 18-week block including the injury: 97%.
A founding-era athlete — nearly 12 years of data — set career bests on back squat, deadlift, and bench press all in the same calendar year. In year 11. His Rx rate climbed from 36% to 83% across that span. He's competed in 12 consecutive CrossFit Opens. The data shows that his strength ceiling is still rising — not maintaining, rising — deep into his second decade of training.
One member has documented injuries to the wrist, shoulder, back, hip, and knee across a 13-year training career — a rotating cast of structural challenges. He has never quit. Every injury shows the same pattern in the data: modification, adaptation, return. His push press went from 45 lbs to 190 lbs (+322%). His back squat from 125 to 335. His Murph improved from 44:03 to 36:55. The injuries are part of the story, not the end of it.
A female athlete with a persistent multi-year knee limitation has logged 923 training days over 5+ years without a gap longer than 21 days. She modified hundreds of workouts — box jumps, lunges, running, high-impact movements — systematically, without ever using the knee as a reason to stop. Her hip thrust climbed from 75 lbs to 230 lbs. She set 257 personal records. At peak volume, she trained 24 days in a single month. The result comment field in her WODIFY profile is the richest in the entire PTS dataset: 760 entries documenting every modification, every scaling decision, and every training partner she worked alongside.
One member's gym attendance dropped from 131 days to 66 during a year of night school. The data could read as disengagement. Instead, he PRed the deadlift, completed every 2026 Open workout at Rx, and logged 170 miles of running outside the gym — including a half marathon distance. He's 27, running sub-7:00 miles on his best efforts, and his 2026 Q1 is already tracking ahead of 2025. The context changes the entire story.
A 65-year-old grandmother of three has been training at PTS for over 11 years. She started at 54. She has logged an estimated 1,500+ total training sessions across group classes, 1-on-1 coaching, and self-directed work — with a 95.7% completion rate on individual programming across the last 6 years. She set a front squat PR of 130 lbs at age 64. She built a pull-up progression from heavily banded assistance to a strict pull-up and a weighted chin-up in her late 50s. She competed in 8 CrossFit Open seasons, including Rx completions in the Masters division. Her 2017 body composition scan showed a phase angle of 7.9° — a marker of cellular health that's well above average for women half her age. She golfs, she runs, and she shows up. When the gym shut down for COVID, she pivoted to individual programming without missing a beat. Her highest-volume year on record? 2025. At age 65.
What Goes Into a Report
Each report is built from the ground up for that specific athlete. There's no template you fill in. The data is analyzed fresh every time, the coaching observations are written from the actual numbers, and the prescription is designed to be talked through in person. Here's what's included:
| Section | What It Covers |
|---|---|
| Branded Cover Page | Athlete name, training period, four headline stats selected for maximum impact |
| Training Volume Analysis | Year-by-year training days, strength/conditioning split, Rx rate trend, monthly breakdowns |
| Complete Lift Record | Every tracked movement — PR history, year-by-year bests, career gains, session counts |
| Individual Strength Sections | Deep dive on every major lift with full PR timeline, year-by-year tables, and coaching notes |
| Benchmark Workout History | Every attempt on named workouts — dates, times, Rx status, improvement trends |
| Open History | All CrossFit Open seasons, division, results, Rx/Scaled progression |
| Coaching Observations | 5–7 data-grounded findings — what's improving, what's stalled, what's declined |
| AI Coaching Prescription | Specific, actionable priorities with target numbers, timelines, and trade-off analysis |
| External Data Integration | Garmin/Strava running data, InBody scans, wearable health tracking, TrueCoach logs (where available) |
What Consistency Actually Looks Like
Everyone knows consistency matters. But what does it actually look like in the data? Across 14 athletes, the answer isn't "train every day." It's "show up enough, and don't stop."
Here's the real frequency data behind the biggest progress stories in this dataset:
| What They Achieved | Avg. Days/Week | How Long |
|---|---|---|
| 638 personal records, Grace 1:34 | 3.7x/week | 10 years |
| Rx rate from 24% → 45%, 6 career bests in 18 months | 4.0x/week | 3 years |
| 923 training days, 257 PRs through a knee limitation | 3.4x/week | 5 years |
| Back squat, deadlift, AND bench all-time bests — in year 11 | 3.0x/week | 12 years |
| 305 lb back squat, 377 lb deadlift from scratch | 2.9x/week | 15 months |
| 370 lb deadlift, 78.6% Rx rate, 10 Open seasons | 3.0x/week | 12 years |
| Deadlift 100 → 400 lbs, 510 lb hip thrust | 2x/week | 26 months |
| Hip thrust +159% while rehabbing a separated shoulder | 5.1x/week | 18 weeks |
| Osteoporosis reversed to osteopenia via strength training | 1.5–2x/week | 4 years |
| Front squat +50 lbs, deadlift 225, Helen scaled → Rx | 1.7x/week | 3 effective years |
| 375 lb deadlift, pull-ups from zero, at age 56 | 2x/week | 7 years |
| 1,500+ sessions, front squat PR at 64, banded → weighted pull-up, 8 Opens — at age 65 | 2–3x/week | 11 years |
The pattern is clear: The athletes who made the most progress in this dataset trained 2–4 times per week and did it for years, not months. Nobody in here trained 6 days a week. Nobody needed to. The magic number across these 15 reports is showing up 3ish times per week and not quitting.
One athlete reversed a bone density diagnosis at 1.5–2x per week. Another added 300 lbs to his deadlift at 2x per week. A 65-year-old set a front squat PR and built a pull-up at 2–3x per week for 11 years. The highest-volume athlete in the dataset averaged 3.7 sessions per week across a decade — and set 638 personal records along the way. Consistency doesn't mean killing yourself. It means being there.
What the Peak Years Look Like
Every athlete in this dataset has a "peak year" — the calendar year with the most training days. Here's what those peak years looked like, and what happened during them:
Five athletes hit 200+ training days in at least one year. But the more important finding is what happened in the years that weren't peaks. One member dropped from 131 training days to 66 during night school — and still PRed the deadlift. Another went from 230 days to 136 across a two-year period — and her hip thrust kept climbing the entire time. A 65-year-old's highest-volume year on record is 2025 — her 11th year of training. The dips matter less than the fact that they came back. Not one of these 15 athletes quit during a low-volume year.
Your Data Makes This Possible — Here's How
Here's the thing nobody tells you about performance reports: the report is only as good as the data you put in. Showing up to class and reserving your spot is step one. But if you're not logging your workouts in WODIFY — your weights, your times, your scores — there's nothing for the report to analyze. You're invisible to the system.
And logging isn't just about punching in a number. The athletes whose reports told the richest, most useful stories were the ones who used the Result Comments field. That little notes section most people skip? It turned out to be the single most valuable data source in some of these reports.
What the Comments Told Us That the Numbers Couldn't
One athlete logged comments on 760 out of 1,675 workouts — the richest comment history in the entire PTS dataset. Those comments documented every knee modification, every scaling decision, every training partner she worked with, and every flare-up she trained through. Without those notes, her report would have shown a low Rx rate and no explanation. With them, it told the story of someone who systematically modified hundreds of workouts around a real limitation and still logged 923 training days and 257 PRs. The comments changed the entire narrative.
One founding-era athlete's comments contained a complete chronological injury history spanning 13 years — wrist, shoulder, back, hip, knee — with specific dates, flare-ups, and return-to-training milestones. The report was able to map every period of reduced volume to a specific structural issue and trace his adaptation patterns across more than a decade. None of that would have been possible from the weight numbers alone. His comments told us things the barbell couldn't.
Multiple reports caught meaningful failed attempts documented in the comment field — a missed jerk at 240 lbs that later became a 245 lb PR, a deadlift session logged as "fail, fail, fail....." followed by a rebound PR months later, a warm-up progression noted as "225, 265, 305" that revealed how an athlete builds to working weights. One athlete's near-miss comments showed they were consistently approaching weights 10–20 lbs above their tested max — a clear signal the PR was available with the right peak.
One athlete's comments included phrases like "near death experience" and "puke city" after tough conditioning pieces — and also named training partners and coaches by name with genuine gratitude. That data point doesn't change a lift number, but it told us something about how she experiences training, what motivates her, and what kind of coaching approach would land. The comments turned a performance report into a coaching document.
What to Log (and What Most People Miss)
You don't need to write a novel. But the difference between a good report and a great one comes down to a few habits:
Log your weights. Every set, every lift. If you hit 225 for 3 and then 245 for 1, log both. The report tracks every weight you've ever touched — but only if it's in the system.
Log your metcon scores. Time, rounds, reps. Even if it wasn't your best day. The trend over time is what matters, and you need the bad days in there to see the improvement.
Use the Result Comments. This is where the real story lives. Note what you modified and why. "Banded pull-ups" or "step-ups instead of box jumps — knee" takes five seconds and gives the report months of context. If something hurt, say so. If you scaled a movement, note what you used instead.
Log failed attempts. A missed lift is still data. "Failed at 275" tells us your ceiling is right there. Without it, the report only knows you hit 265 and has no idea 275 was close.
Note life context when it's relevant."First day back after vacation" or "tweaked back on Monday, going light" — these comments explain dips in the data that would otherwise look like regression.
Think of it this way: every comment you write today is a data point your future report can use. The athletes in this dataset who logged consistently and commented regularly got reports that read like coaching documents. The ones with sparse logs got reports that were accurate but thinner. The data is your story. Write it down.
Want to See Your Data?
If you're curious what your training history says — the PRs you forgot about, the trends you can't see from the inside, and the coaching opportunities hiding in your numbers — I want to build yours.
Fill out a quick intake form and we'll reach out when your report is up.
A note on demand: The response to these reports has been bigger than I expected. Each one takes real time to build — the data analysis, the coaching narrative, the prescription — so I can't turn them around overnight. I'm creating a waitlist to make sure everyone who wants one gets one, in the order they reach out. If you're interested, get on the list now and I'll let you know when yours is up. In the meantime, keep logging your workouts, keep using those Result Comments, and keep building the dataset that makes your report great.
— Mike Collette · Prototype Training Systems · Westborough, MA
Previous Blogs

Climb to New Heights
Prototype Training Systems is more than a gym - it is a lifestyle. Join us today!



