投げ多め　希望マシマシ

What to improve

1. 01

   Find the cause of punish events

   Punish Counters landed: profile 0.4 · reference 0.12

   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 0.4 · reference 0.12
   • Got Punish Countered: profile 0.2 · reference 0.12
2. 02

   Make Drive Impact a deliberate choice

   Drive Impact: profile 0.5 · 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 0.5 · reference 0.2
   • Drive Impact gauge: profile 4.3% · reference 1.7%
3. 03

   Review close-range choices

   Throws: profile 1.4 · reference 2.32

   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 2.32
   • Got thrown: profile 2.2 · reference 2.12
   • Throw techs: profile 0.2 · reference 0.48

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 2, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

1. 01

   Test the Drive Impact tendency

   Drive Impact: profile 0.5 · 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 0.5 · reference 0.2
   • Drive Impact gauge: profile 4.3% · reference 1.7%
2. 02

   Use matchup records as scouting leads

   vs Luke: 26 wins in 54 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: 26 wins in 54 games
   • vs Yasmine: 12 wins in 44 games
   • vs Ryu: 19 wins in 39 games
3. 03

   Separate a tendency from a one-off event

   Recent stored ranked sample: 45 wins in 86 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: 45 wins in 86 games

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 2, 2026 · AI: dots-studio/dots-3-note-preview:free