マスティー

What to improve

1. 01

   Review close-range choices

   Throw techs: profile 0.2 · reference 0.43

   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

   • Throw techs: profile 0.2 · reference 0.43
   • Got thrown: profile 2.3 · reference 2.2
2. 02

   Make Drive Impact a deliberate choice

   Drive Impact: profile 0.4 · reference 0.24

   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 0.4 · reference 0.24
   • Drive Impact gauge: profile 4.3% · reference 1.8%
3. 03

   Trace how you lose or gain space

   Corner pressure: profile 9.8 · reference 12.23

   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

   • Corner pressure: profile 9.8 · reference 12.23
   • Time cornered: profile 8.1 · reference 9.11

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 15, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

1. 01

   Test the Drive Impact tendency

   Drive Impact: profile 0.4 · reference 0.24

   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 0.4 · reference 0.24
   • Drive Impact gauge: profile 4.3% · reference 1.8%
2. 02

   Look for a repeatable punish opportunity

   Punish Counters landed: profile 0.3 · reference 0.13

   Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.

   Try this

   Test one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.

   Supporting stats

   • Punish Counters landed: profile 0.3 · reference 0.13
   • Got Punish Countered: profile 0.2 · reference 0.09
3. 03

   Probe defense before committing

   Drive Reversal: profile 0.3 · reference 0.19

   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 0.3 · reference 0.19
   • Perfect Parry: profile 0.2 · reference 0.57

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 15, 2026 · AI: dots-studio/dots-3-note-preview:free