Insights
The mistakes that show up most in real training footage.
Across 161 video sessions analyzed between August 2, 2026 to September 22, 2026, the same handful of faults keep repeating. These are the counts, not opinions. Every number below is an aggregate, with no athlete, clip or gym identified.
Last updated
161 sessions counted
Boxing: the five most common faults.
161 findings were recorded on boxing footage in this window. Share of sessions is the percentage of all boxing sessions in which the fault appeared at least once.
3.7%
6 of 161 sessions · stance
Feet drift wider than shoulder width as rounds progress, reducing mobility and punch power.
Why it happens: Fatigue or anxiety narrows focus to the hands and neglects footwork fundamentals.
The fix: Reset the stance deliberately after every combination instead of letting the base spread over the round.
Drill: Wall shadow rounds. Stand an arm's length from a wall, throw combinations for 3 rounds of 2 minutes, and check stance width on every reset.
1.2%
2 of 161 sessions · stance
Stance narrows, feet come together, or the base disappears when pressured.
Why it happens: Pressure causes retreat without maintaining structural integrity.
The fix: Practise giving ground while keeping the base. Circle off at an angle instead of walking straight back with the feet coming together.
Drill: Pressure shadow rounds. Shadowbox backward and laterally for 3 rounds of 3 minutes, checking stance width every ten seconds.
Method
How these numbers were counted.
Every mmaGPT analysis writes its findings against a fixed technique taxonomy, so the same fault is labelled the same way across every session. To build this page, findings from August 2, 2026 to September 22, 2026 were grouped by discipline and by fault, then counted. Share of sessions is the number of distinct sessions containing that fault, divided by all sessions in the discipline.
Only disciplines with at least 100 recorded findings are published, which is why boxing is the only discipline here so far. Below the threshold in this window: MMA 89 findings, Muay Thai 82, kickboxing 39, Taekwondo 16, BJJ 13, wrestling 6, karate 5, judo 3, Krav Maga 2. Those will be published as their counts grow. Findings the model could not classify against the taxonomy are excluded from the ranking rather than lumped together.
The page is built from a static snapshot. It holds counts only, and contains no athlete names, user ids, video clips or gym names. For the coaching workflow behind these findings, see how the video analysis works and how to analyze sparring footage like a coach.
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