Spartan Racers
Sprint, Super, Beast, and Ultra competitors training for the obstacle mix that defines the Spartan format.
Obstacle Course Racing
AI OCR Coach
Upload your training and race footage and receive instant AI-powered feedback designed to help you improve technique, grip efficiency, transitions, and race-day performance.
Section 1
What is Obstacle IQ?
Upload a video
Phone footage, GoPro, anything in 1080p.
AI analyzes movement
Frame-by-frame technique scoring.
Receive feedback
Specific timestamps and drill plans.
Track progress
Trend lines across weeks of training.
Obstacle IQ is an AI movement coach built for obstacle course racers. You film an obstacle attempt — a rope climb, a monkey-bar set, a sandbag carry, a wall — upload it, and within minutes the system returns a structured technique report covering the specific failure patterns that cost OCR athletes burpees and podium positions.
Race-day performance in OCR is rarely a fitness problem. The athletes who DNF or burpee-out are almost never undertrained — they are usually under-coached on technique. A 30-second slip on a rope climb, a wasted regrip on the monkey bars, or a poor sandbag carry posture compounds into the reason a sub-elite athlete finishes 15 places behind their fitness number.
Most OCR athletes upload a mix of structured training clips and race footage. The system treats race clips with extra care — fatigue, mud, and adrenaline change technique in predictable ways, and the analysis flags fatigue-driven errors separately from technique-driven errors.
Section 2
Who Is This For?
Obstacle IQ is built for ocr athletes at every level — from beginners building their first technical reps to competitors refining podium-level execution.
Tough Mudder Athletes
Tough Mudder regulars who need feedback on team-style obstacles, grip-intensive challenges, and endurance-pace technique.
Savage Race Athletes
Savage Race competitors who want focused feedback on signature obstacles and high-density course transitions.
Hybrid Athletes
Hyrox-style and hybrid competitors who want carry and grip-endurance technique reviewed alongside their conditioning work.
Section 3
What Can the AI Analyze?
Every clip is broken into the technical sub-components a great OCR coach would grade — the same checklist they would run mentally, applied to every rep instead of the ones they happen to be watching.
Rope Climbs
Footlock type (J-hook, S-hook, or none), pull cadence, hip drive, descent control, and grip residue across multi-rope sets.
Monkey Bars
Hand-over-hand vs. skip-bar patterns, hollow-body shape, swing damping, and grip fatigue across long sets.
Carries
Load position (front rack, zercher, bear hug), trunk angle, breathing cadence under load, and stride length on hills.
Walls
Approach speed, hand placement, hip drive over the wall, and dismount mechanics on inverted walls.
Multi-Obstacle Transitions
Time between obstacles, regrip frequency, hesitation events, and pacing efficiency across consecutive challenges.
Race Efficiency
Full-race analysis across submitted GoPro or third-party footage — flags fatigue-driven technique breakdown by lap segment.
Section 4
Why Video Analysis Matters
OCR is uniquely punishing for technique mistakes. A failed obstacle is not a missed rep — it is a 30-burpee penalty or an automatic disqualification. Frame-by-frame review surfaces the technique leaks that cause those failures before they happen on course.
Self-review is unreliable for OCR athletes because most clips happen at race pace under fatigue. You cannot remember what your foot did on the sandbag carry when you were 90 minutes into a Spartan Beast. The video remembers.
Objective feedback also lets you compare race-pace and training-pace technique side-by-side. The athletes who podium are usually the ones whose race-pace technique looks almost identical to their training-pace technique — that gap closes through targeted video review.
Most importantly, technique feedback at the rep level compounds across a race. Saving 2 seconds per obstacle over 25 obstacles is 50 seconds — a finishing-position difference in any competitive wave.
Section 5
Common Mistakes We See on Submitted Footage
These are the patterns that appear most frequently in OCR clips uploaded for review — and the ones that quietly cost athletes the most progress.
Climbing rope arms-only
The single most common OCR failure pattern is climbing the rope with the arms and ignoring the feet. Grip blows by the second rope. Footlock technique converts the climb from a grip exercise into a leg exercise — and is the difference between finishing a Beast and burpee-ing out at obstacle 19.
Wasted regrips on monkey bars
Every regrip costs forearm endurance. Race-fit athletes regrip 1.5x as often by mile 4 as they did at mile 0. Targeted analysis surfaces this trend and prescribes hollow-body and dead-hang work to fix it.
Carrying loads too low
Bucket brigades and sandbag carries fail at the low back, not at the legs. Athletes hug the load too low, lose the trunk angle, and pay for it on the descent. Cleaning up carry posture is one of the highest-leverage OCR fixes available.
Walking the transitions
The two seconds between obstacles add up to minutes across a race. The athletes who podium jog every transition — even the ones up steep hills. The system flags transitions you are walking that you could reasonably jog.
Death-gripping every bar
Crushed-fist grip on monkey bars and traverse rigs accelerates forearm pump. The technique fix is an active hook grip — strong enough to hold, loose enough to recover between bars. Video review surfaces over-gripping within the first set.
Setting the load down mid-carry
Most OCR formats penalize a dropped sandbag or bucket. Pacing the carry — short, steady, hill-leaned stride — is a learnable skill and one the system specifically grades.
Section 6
Sample Analysis
Sample Analysis Preview
Sandbag Carry — 100m Out-and-Back
Example output — not a live analysis
Strong opening pace. By the 60m mark, trunk angle collapses from 25 degrees to 40 degrees of forward lean, and stride length shortens by 18%. Recovery pace on the return is reasonable but not optimal.
Technique Score
76 / 100
Good initial posture; breakdown begins at 60m.
Efficiency Score
71 / 100
Stride shortening costs an estimated 6–8 seconds across the carry.
Pacing
B
Out-pace was too fast — return-pace cost more than the out-pace saved.
Movement Observations
- Trunk angle increases (collapses forward) by 15 degrees between 60m and 80m.
- Breathing cadence becomes irregular at the 70m mark.
- Sandbag rides too low across the chest, increasing low-back load.
Suggested Improvements
- Zercher carries (3x60m) twice this week to rehearse trunk position under fatigue.
- Loaded hill walks at 50% of race load to build pacing intuition.
- Practice the carry with a tempo set on a watch — 90 BPM stride on the out, 95 BPM on the return.
Why technique is the highest-leverage OCR variable
Most OCR athletes spend 95% of training on conditioning and 5% on technique. The leaderboard rewards the inverse. The athletes who podium consistently are the ones whose rope climb, monkey bars, and carries look mechanically identical in mile 1 and mile 7. Obstacle IQ exists to make technique training as systematic as conditioning training already is.
Building race-pace technique that holds up
Training-pace technique and race-pace technique are different sports. The cleanest way to close the gap is to film race-pace efforts in training and review them under the same lens as race footage. The system handles fatigue as a first-class variable — what looks like a technique problem in mile 5 is usually a pacing or grip-endurance problem upstream, and the report identifies which.
Programming around the report
An effective OCR week starts with the report from the previous race or training day. If the report flagged forearm fatigue, the week front-loads grip endurance. If it flagged carry breakdown at 60m, the week includes loaded carries at 50% race load with a focus on trunk position. Letting the data drive the schedule consistently outperforms generic OCR templates.
Section 7
Frequently Asked Questions
Can I upload race footage?
Yes. Race footage is one of the most valuable inputs because it captures fatigue-driven technique breakdown that training footage misses. GoPro, body-cam, or spectator footage all work.
Does it work for Spartan, Tough Mudder, and Savage Race?
Yes. The system analyzes movement patterns, not race brands. Rope climbs, monkey bars, walls, and carries are graded the same way regardless of event format.
Can it help me get faster at transitions?
Yes. Transitions are explicitly scored. The report flags every transition longer than your personal baseline and identifies whether the cause is hesitation, regrip, or pacing.
What about grip fatigue across a race?
Grip fatigue is one of the strongest signals in the model. Across a multi-obstacle race, the system tracks regrip frequency and grip-style changes lap over lap and flags when fatigue is becoming a performance limiter.
Is this useful for Hyrox or hybrid athletes?
Yes. Carries, sled work, and grip-intensive stations transfer directly to the OCR feedback model. Hybrid athletes commonly upload sled push, wall ball, and rowing technique for analysis.
How is this different from a heart-rate watch or training log?
Watches measure physiology. Obstacle IQ measures movement. Both matter, and neither replaces the other — but technique is the variable most OCR athletes neglect, which is why it usually delivers the biggest performance gain.
What camera angle works best?
Side-profile from 12–15 feet for rope climbs and monkey bars. Behind-the-athlete works for carries. For full-race footage, a chest-mounted GoPro at 60fps captures enough.
Will it analyze running form?
Obstacle IQ focuses on obstacle technique. Running form is analyzed only as it relates to obstacle transitions and carry pacing — not as a standalone gait analysis.
Can I track my progress across a race season?
Yes. Each clip is timestamped and stored against your profile, so you can compare your rope climb on race 1 with your rope climb on race 5 and see exactly what changed.
Section 8
Related OCR Reading
OCR
The 6 Most Common OCR Race Mistakes (and How to Avoid Them)
What separates Spartan and Tough Mudder finishers from podium athletes — and the technique adjustments that close the gap.
OCR
OCR Training vs Ninja Training: What's the Difference?
Both sports look similar on Instagram, but the underlying training is wildly different. Here's a side-by-side breakdown of energy systems, skills, and weekly programming.
OCR
How to Train for Your First Spartan Race
Your complete first-Spartan training plan. Running, grip, carry strength, and the obstacles you'll actually fail. 8-week build for Sprint and Super distances.
OCR
OCR Grip Strength Training Program
A 10-week grip strength program built for OCR athletes. Hangs, carries, pinch work, and the failure-mode-specific drills that fix race-day grip blowup.
OCR
Monkey Bar Technique for OCR Athletes
Monkey bar technique that survives mile 4. Grip choice, swing rhythm, foot drive, and how to cross long OCR rigs without burpees.
OCR
How to Avoid Failing Obstacles During OCR Races
Why athletes fail OCR obstacles mid-race and the strategic, technical, and training fixes that turn failure points into reliable completions.