スーパー・ラシード・人生

What to improve

1. 01

   Find the cause of punish events

   Got Punish Countered: profile 0.1 · reference 0.11

   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

   • Got Punish Countered: profile 0.1 · reference 0.11
   • Punish Counters landed: profile 0.1 · reference 0.13
2. 02

   Make Drive Impact a deliberate choice

   Drive Impact: profile 0.2 · 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 0.2 · reference 0.24
   • Drive Impact gauge: profile 2.1% · reference 2.1%
3. 03

   Review close-range choices

   Throws: profile 3 · reference 2.58

   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 3 · reference 2.58
   • Throw techs: profile 0.7 · reference 0.37
   • Got thrown: profile 2.8 · reference 2.05

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

1. 01

   Probe defense before committing

   Throw techs: profile 0.7 · reference 0.37

   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 0.7 · reference 0.37
   • Drive Parry: profile 2.6 · reference 1.66
   • Got thrown: profile 2.8 · reference 2.05
2. 02

   Build pressure without overextending

   Time cornered: profile 12.6 · reference 8.96

   Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.

   Try this

   Test one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.

   Supporting stats

   • Time cornered: profile 12.6 · reference 8.96
   • Corner pressure: profile 13.4 · reference 14.49
3. 03

   Adapt to the visible gauge

   SA3: profile 23.8% · reference 16.8%

   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

   • SA3: profile 23.8% · reference 16.8%
   • CA: profile 6.7% · reference 5.1%

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free