ミズキ(きらいな風はモンスーン

What to improve

1. 01

   Find the cause of punish events

   Punish Counters landed: profile 0.2 · 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

   • Punish Counters landed: profile 0.2 · reference 0.11
   • Got Punish Countered: profile 0.2 · reference 0.09
2. 02

   Review close-range choices

   Throws: profile 2.7 · reference 2.59

   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 2.7 · reference 2.59
   • Throw techs: profile 0.1 · reference 0.46
   • Got thrown: profile 1.6 · reference 2.28
3. 03

   Give each meter spend a purpose

   SA2: profile 11.3% · reference 25%

   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

   • SA2: profile 11.3% · reference 25%
   • SA3: profile 58.8% · reference 37.5%

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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

1. 01

   Test the Drive Impact tendency

   Drive Impact: profile 0.3 · reference 0.18

   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 0.3 · reference 0.18
   • Drive Impact gauge: profile 2.2% · reference 1.3%
2. 02

   Probe defense before committing

   Drive Parry: profile 1.4 · reference 1.97

   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 1.4 · reference 1.97
   • Perfect Parry: profile 0.2 · reference 0.79
   • Drive Reversal: profile 0 · reference 0.21
3. 03

   Build pressure without overextending

   Corner pressure: profile 9.1 · reference 12.08

   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

   • Corner pressure: profile 9.1 · reference 12.08
   • Time cornered: profile 6.7 · reference 9.04

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 6, 2026 · AI: dots-studio/dots-3-note-preview:free