What to improve

1. 01

   Review defensive decisions

   Perfect Parry: profile 0.2 · reference 0.79

   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 0.79
   • Drive Parry: profile 2.5 · reference 1.97
   • Throw techs: profile 0 · reference 0.46
2. 02

   Find the cause of punish events

   Got Punish Countered: profile 0.4 · reference 0.09

   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

   • Got Punish Countered: profile 0.4 · reference 0.09
   • Punish Counters landed: profile 0.2 · reference 0.11
3. 03

   Give each meter spend a purpose

   SA1: profile 60.2% · reference 26.5%

   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

   • SA1: profile 60.2% · reference 26.5%
   • SA3: profile 28.9% · reference 37.5%
   • CA: profile 3.1% · reference 11%

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

   Use matchup records as scouting leads

   vs Ryu: 40 wins in 79 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 Ryu: 40 wins in 79 games
   • vs Luke: 46 wins in 95 games
   • vs Akuma: 41 wins in 73 games
2. 02

   Separate a tendency from a one-off event

   Recent stored ranked sample: 36 wins in 71 games

   Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

   Try this

   Use the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.

   Supporting stats

   • Recent stored ranked sample: 36 wins in 71 games
3. 03

   Look for a repeatable punish opportunity

   Got Punish Countered: profile 0.4 · 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

   • Got Punish Countered: profile 0.4 · reference 0.09

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