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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 0.08
2. 02

   Review defensive decisions

   Perfect Parry: profile 0.2 · reference 0.64

   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

   • Perfect Parry: profile 0.2 · reference 0.64
   • Drive Reversal: profile 0.1 · reference 0.17
   • Drive Parry: profile 1.9 · reference 2.01
3. 03

   Give each meter spend a purpose

   CA: profile 23.3% · reference 9.9%

   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

   • CA: profile 23.3% · reference 9.9%
   • SA3: profile 23.3% · reference 34.6%
   • Drive Arts: profile 11% · reference 21.1%

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

How to beat this player

1. 01

   Use matchup records as scouting leads

   vs Elena: 63 wins in 166 games

   A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

   Try this

   If you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.

   Supporting stats

   • vs Elena: 63 wins in 166 games
   • vs Yasmine: 32 wins in 73 games
   • vs Alex: 22 wins in 61 games
2. 02

   Probe defense before committing

   Got thrown: profile 3.1 · reference 2.07

   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

   • Got thrown: profile 3.1 · reference 2.07
   • Throw techs: profile 0.9 · reference 0.4
   • Drive Parry: profile 1.9 · reference 2.01

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