ぽきおじ

What to improve

1. 01

   Find the cause of punish events

   Punish Counters landed: profile 0.1 · 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 0.1 · reference 0.12
   • Got Punish Countered: profile 0.1 · reference 0.12
2. 02

   Trace how you lose or gain space

   Corner pressure: profile 6.3 · reference 9.01

   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 6.3 · reference 9.01
   • Time cornered: profile 6.5 · reference 9.88
3. 03

   Give each meter spend a purpose

   SA3: profile 26.2% · reference 22.1%

   Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.

   Try this

   Practice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.

   Supporting stats

   • SA3: profile 26.2% · reference 22.1%
   • CA: profile 9.8% · reference 6.5%
   • Drive Arts: profile 11.8% · reference 14.2%

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

   Drive Reversal: profile 1.1 · reference 0.47

   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 1.1 · reference 0.47
   • Perfect Parry: profile 0.2 · reference 0.7
   • Drive Parry: profile 1 · reference 1.63
2. 02

   Test the close-range pattern

   Throws: profile 3.5 · reference 2.32

   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 3.5 · reference 2.32
   • Throw techs: profile 0.4 · reference 0.48
   • Got thrown: profile 2 · reference 2.12
3. 03

   Adapt to the visible gauge

   SA3: profile 26.2% · reference 22.1%

   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 26.2% · reference 22.1%
   • CA: profile 9.8% · reference 6.5%
   • Drive Arts: profile 11.8% · reference 14.2%

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