MAKOTO

What to improve

1. 01

   Give each meter spend a purpose

   Drive Rush (cancel): profile 31.1% · reference 23%

   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

   • Drive Rush (cancel): profile 31.1% · reference 23%
   • Drive Rush (parry): profile 8.9% · reference 11.5%
2. 02

   Trace how you lose or gain space

   Corner pressure: profile 12.7 · reference 12.18

   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 12.7 · reference 12.18
   • Time cornered: profile 9.5 · reference 9.75
3. 03

   Find the cause of punish events

   Punish Counters landed: profile 0.1 · reference 0.1

   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 0.1
   • Got Punish Countered: profile 0.1 · reference 0.1

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

How to beat this player

1. 01

   Test the Drive Impact tendency

   Drive Impact: profile 0.1 · reference 0.21

   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 0.1 · reference 0.21
   • Drive Impact gauge: profile 1.2% · reference 1.6%
2. 02

   Probe defense before committing

   Drive Parry: profile 3.1 · reference 1.77

   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 Parry: profile 3.1 · reference 1.77
   • Perfect Parry: profile 0.6 · reference 0.54
3. 03

   Adapt to the visible gauge

   SA2: profile 6.5% · reference 20.4%

   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

   • SA2: profile 6.5% · reference 20.4%
   • SA3: profile 42.4% · reference 31.9%

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