yocto

What to improve

1. 01

   Find the cause of punish events

   Got Punish Countered: profile 0.5 · reference 0.12

   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 0.5 · reference 0.12
   • Punish Counters landed: profile 0.4 · reference 0.12
2. 02

   Trace how you lose or gain space

   Corner pressure: profile 5.3 · reference 9.01

   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 5.3 · reference 9.01
   • Time cornered: profile 8.5 · reference 9.88
3. 03

   Give each meter spend a purpose

   Drive Arts: profile 27.4% · reference 14.2%

   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 Arts: profile 27.4% · reference 14.2%
   • CA: profile 42.9% · reference 6.5%

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 7, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

1. 01

   Use matchup records as scouting leads

   vs Char 253: 393 wins in 966 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: 393 wins in 966 games
   • vs Yasmine: 74 wins in 221 games
   • vs Ryu: 33 wins in 84 games
2. 02

   Separate a tendency from a one-off event

   Recent stored ranked sample: 10 wins in 22 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: 10 wins in 22 games

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: nex-agi/nex-n2.5-mini:free