gotobasu

What to improve

1. 01

   Review close-range choices

   Throw techs: profile 0.1 · reference 0.37

   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

   • Throw techs: profile 0.1 · reference 0.37
   • Throws: profile 2 · reference 2.48
   • Got thrown: profile 2.2 · reference 2.18
2. 02

   Review defensive decisions

   Drive Parry: profile 1.3 · reference 1.84

   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

   • Drive Parry: profile 1.3 · reference 1.84
   • Perfect Parry: profile 0.6 · reference 0.73
   • Drive Reversal: profile 0.2 · reference 0.23
3. 03

   Give each meter spend a purpose

   Drive Rush (cancel): profile 48.6% · reference 32.4%

   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 48.6% · reference 32.4%
   • Drive Arts: profile 6.4% · reference 15.5%
   • SA3: profile 34.8% · reference 29.9%

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 4, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

1. 01

   Use matchup records as scouting leads

   vs Char 253: 137 wins in 248 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 Char 253: 137 wins in 248 games
   • vs Luke: 15 wins in 24 games
   • vs A.K.I.: 14 wins in 21 games
2. 02

   Separate a tendency from a one-off event

   Recent stored ranked sample: 32 wins in 61 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: 32 wins in 61 games
3. 03

   Test the Drive Impact tendency

   Drive Impact: profile 0.1 · reference 0.22

   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 0.22
   • Drive Impact gauge: profile 0.7% · reference 1.6%

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 4, 2026 · AI: dots-studio/dots-3-note-preview:free