mitsu

What to improve

1. 01

   Find the cause of punish events

   Punish Counters landed: profile 0.9 · reference 0.08

   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 0.9 · reference 0.08
   • Got Punish Countered: profile 0.7 · reference 0.07
2. 02

   Make Drive Impact a deliberate choice

   Drive Impact: profile 1.3 · reference 0.16

   Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.

   Try this

   Record Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.

   Supporting stats

   • Drive Impact: profile 1.3 · reference 0.16
   • Drive Impact gauge: profile 14.9% · reference 1.1%
3. 03

   Review close-range choices

   Throws: profile 2.8 · reference 2.2

   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 2.8 · reference 2.2
   • Throw techs: profile 0.2 · reference 0.44
   • Got thrown: profile 2.7 · reference 2.06

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 12, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

1. 01

   Test the Drive Impact tendency

   Drive Impact: profile 1.3 · reference 0.16

   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 1.3 · reference 0.16
   • Drive Impact gauge: profile 14.9% · reference 1.1%
2. 02

   Test the close-range pattern

   Throws: profile 2.8 · reference 2.2

   Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

   Try this

   If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

   Supporting stats

   • Throws: profile 2.8 · reference 2.2
   • Throw techs: profile 0.2 · reference 0.44
   • Got thrown: profile 2.7 · reference 2.06
3. 03

   Build pressure without overextending

   Corner pressure: profile 4.3 · reference 10.94

   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 4.3 · reference 10.94
   • Time cornered: profile 7.8 · reference 8.58

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 12, 2026 · AI: nex-agi/nex-n2.5-pro:free