What to improve

1. 01

   Compare decisions across wins and losses

   Recent stored ranked sample: 19 wins in 51 games

   Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.

   Try this

   Write down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.

   Supporting stats

   • Recent stored ranked sample: 19 wins in 51 games
2. 02

   Study a recurring matchup situation

   vs Ryu: 61 wins in 103 games

   Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.

   Try this

   Pick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.

   Supporting stats

   • vs Ryu: 61 wins in 103 games
   • vs Luke: 40 wins in 103 games
   • vs Terry: 15 wins in 31 games
3. 03

   Make Drive Impact a deliberate choice

   Drive Impact: profile 0.9 · reference 0.2

   Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.

   Try this

   Record Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.

   Supporting stats

   • Drive Impact: profile 0.9 · reference 0.2
   • Drive Impact gauge: profile 10.1% · reference 1.7%

AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.

Data saved Sep 9, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

1. 01

   Test the close-range pattern

   Throw techs: profile 0.1 · reference 0.48

   Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

   Try this

   If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

   Supporting stats

   • Throw techs: profile 0.1 · reference 0.48
   • Got thrown: profile 1.8 · reference 2.12
   • Throws: profile 3.8 · reference 2.32
2. 02

   Test the Drive Impact tendency

   Drive Impact: profile 0.9 · reference 0.2

   Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.

   Try this

   Revisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.

   Supporting stats

   • Drive Impact: profile 0.9 · reference 0.2
   • Drive Impact gauge: profile 10.1% · reference 1.7%
3. 03

   Probe defense before committing

   Drive Reversal: profile 2.4 · reference 0.47

   Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.

   Try this

   Try your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.

   Supporting stats

   • Drive Reversal: profile 2.4 · reference 0.47
   • Drive Parry: profile 3.9 · reference 1.63
   • Perfect Parry: profile 0.2 · reference 0.7

AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.

Data saved Sep 9, 2026 · AI: nex-agi/nex-n2.5-pro:free