imomoi

What to improve

1. 01

   Make Drive Impact a deliberate choice

   Drive Impact: profile 0.9 · 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 0.9 · reference 0.16
   • Drive Impact gauge: profile 9.9% · reference 1.8%
2. 02

   Review close-range choices

   Throws: profile 4.2 · 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 4.2 · reference 2.28
   • Got thrown: profile 3.9 · reference 2.19
   • Throw techs: profile 1.7 · reference 0.47
3. 03

   Review defensive decisions

   Drive Parry: profile 1.2 · reference 1.52

   Compare five defensive situations: what did the opponent do, what did you choose, and what happened? Low parry or throw-tech counts alone do not establish a weakness.

   Try this

   Record two different options from one troublesome situation. Practice identifying them and choosing a response, then review whether the same decision improves in your next set.

   Supporting stats

   • Drive Parry: profile 1.2 · reference 1.52
   • Perfect Parry: profile 0.4 · reference 0.63
   • Drive Reversal: profile 0.3 · reference 0.28

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

   Look for a repeatable punish opportunity

   Punish Counters landed: profile 0.8 · reference 0.09

   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 0.8 · reference 0.09
   • Got Punish Countered: profile 0.4 · reference 0.07
2. 02

   Test the Drive Impact tendency

   Drive Impact: profile 0.9 · reference 0.16

   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 0.9 · reference 0.16
   • Drive Impact gauge: profile 9.9% · reference 1.8%
3. 03

   Test the close-range pattern

   Throws: profile 4.2 · reference 2.28

   Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

   Try this

   If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

   Supporting stats

   • Throws: profile 4.2 · reference 2.28
   • Got thrown: profile 3.9 · 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