What to improve

1. 01

   Compare decisions across wins and losses

   Recent stored ranked sample: 49 wins in 100 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: 49 wins in 100 games
2. 02

   Review close-range choices

   Throws: profile 1.4 · reference 2.6

   Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.

   Try this

   Replay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.

   Supporting stats

   • Throws: profile 1.4 · reference 2.6
   • Throw techs: profile 0.4 · reference 0.47
   • Got thrown: profile 2.4 · reference 2.18
3. 03

   Trace how you lose or gain space

   Time cornered: profile 10.6 · reference 9.53

   Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.

   Try this

   Recreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.

   Supporting stats

   • Time cornered: profile 10.6 · reference 9.53
   • Corner pressure: profile 8.4 · reference 11.8

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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

1. 01

   Use matchup records as scouting leads

   vs Luke: 64 wins in 101 games

   A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

   Try this

   If you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.

   Supporting stats

   • vs Luke: 64 wins in 101 games
   • vs Yasmine: 53 wins in 85 games
2. 02

   Separate a tendency from a one-off event

   Recent stored ranked sample: 49 wins in 100 games

   Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

   Try this

   Use the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.

   Supporting stats

   • Recent stored ranked sample: 49 wins in 100 games
3. 03

   Probe defense before committing

   Throw techs: profile 0.4 · 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

   • Throw techs: profile 0.4 · reference 0.47

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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free