てんとうむし

What to improve

1. 01

   Find the cause of punish events

   Punish Counters landed: profile 0 · reference 0.09

   Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.

   Try this

   Recreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.

   Supporting stats

   • Punish Counters landed: profile 0 · reference 0.09
   • Got Punish Countered: profile 0.1 · reference 0.07
2. 02

   Make Drive Impact a deliberate choice

   Drive Impact: profile 0.1 · reference 0.16

   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 0.1 · reference 0.16
   • Drive Impact gauge: profile 0.6% · reference 1.8%
3. 03

   Review close-range choices

   Throws: profile 1.8 · reference 2.28

   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 1.8 · reference 2.28
   • Got thrown: profile 2.6 · reference 2.19

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: dots-studio/dots-3-note-preview:free

How to beat this player

1. 01

   Use matchup records as scouting leads

   vs Luke: 38 wins in 62 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: 38 wins in 62 games
   • vs Yasmine: 45 wins in 69 games
   • vs Ryu: 14 wins in 31 games
2. 02

   Probe defense before committing

   Drive Parry: profile 2.9 · reference 1.52

   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 Parry: profile 2.9 · reference 1.52
   • Perfect Parry: profile 0.6 · reference 0.63
   • Throw techs: profile 0.2 · reference 0.47
3. 03

   Adapt to the visible gauge

   Drive Rush (cancel): profile 45.9% · reference 16.4%

   Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.

   Try this

   After a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.

   Supporting stats

   • Drive Rush (cancel): profile 45.9% · reference 16.4%
   • Drive Arts: profile 6.1% · reference 23.2%
   • SA2: profile 42.9% · reference 21.5%

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: dots-studio/dots-3-note-preview:free