T&F AI logo Track & Field AI · Est. 2026
TRACK & FIELD AI
Phases we analyze

Every phase of triple jump, broken out.

Approach

Stride consistency and speed into the board.

Hop

Takeoff angle, ground contact, active landing.

Step

Flight leg drive, heel strike to toe-off.

Jump

Final takeoff converting horizontal to vertical.

Landing

Full arm swing, heel drop, hip projection.

Why it's different

AI that actually understands triple jump.

Generic video tools look at "a person moving." We built a model specifically around triple jump, the phases, the mechanics, and the coaching language real triple jump coaches use.

You upload the rep. We extract the critical frames. You get a breakdown in plain English with priority tags, what's critical, what's worth working on, what's fine.

  • Event-specific phase detection
  • Priority-tagged coaching notes (critical/important/minor)
  • Cause-and-effect frame markers
  • Follow-up AI coach chat
Triple jumper in the step phase, flight leg driving forward, Track & Field AI Triple Jump · Sample note “Your hop phase is 38% of total distance, industry optimal is ~35%. Shorten the hop, lengthen the step for a 15cm total gain.”
Common triple jump mistakes

The three errors the AI flags most often.

These are the technique patterns we see over and over again across triple jump athletes. Each one has a specific look on video and a specific fix.

01

Over-long hop phase

What it looks like

Your hop is 38%+ of total distance, depleting the energy you need for the step and jump.

Fix it

Short-run triple-jump drills from a 6-step approach, constraining the hop length with a taped target.

02

Passive step phase

What it looks like

Your step phase is a landing rather than an active drive, killing horizontal momentum before the jump.

Fix it

Step-phase bounding drills with emphasis on a knee-drive cue off the ground contact.

03

Collapsing knee on the jump

What it looks like

Your final takeoff knee gives way instead of punching up, flattening the jump phase.

Fix it

Single-leg box jumps and heavy-single-leg strength work.

College female triple jumper mid-phase during a meet
Real athletes

Used by triple jump athletes at every level.

From freshman triple jump to D1 rosters, athletes upload phone video and get the same frame-by-frame coaching read. The AI doesn't grade you, it explains what it sees, in the vocabulary a real triple jump coach would use.

  • Every level, freshman to D1
  • Same AI model, same vocabulary
  • Practice reps, meet reps, warm-ups, all fair game
  • Works with any phone, any angle
Common questions

Triple Jump FAQ

Does it calculate phase ratios?
Yes. The AI estimates hop/step/jump ratios and compares them to optimal biomechanical targets.
Can it tell me if my hop is too long?
Yes, that is one of the most common feedback items it gives triple jumpers.
What's the ideal hop/step/jump ratio?
Commonly cited as 35/29/36, but elite jumpers vary. The AI compares your actual ratios to your own baseline and to the phase that could unlock the most distance.
How do I keep rhythm between phases?
The AI flags 'dead landings' between hop-step and step-jump where ground contact is too long. Fix is typically more active bounding in practice.
Does the analysis work for left or right takeoff?
Yes. It detects takeoff foot and orients phase analysis accordingly.

Ready to analyze your triple jump?

Download the app. Film a rep. See what the AI sees. No card, no account, one free analysis.