wakame3255

What to improve

1. 01

   Find the cause of punish events

   Punish Counters landed: profile 0.4 · reference 0.13

   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 0.4 · reference 0.13
   • Got Punish Countered: profile 0.3 · reference 0.1
2. 02

   Review defensive decisions

   Drive Parry: profile 2.6 · reference 1.54

   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 2.6 · reference 1.54
   • Perfect Parry: profile 0.4 · reference 0.44
   • Drive Reversal: profile 0.1 · reference 0.36
3. 03

   Review close-range choices

   Throws: profile 3 · reference 3.44

   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 3 · reference 3.44
   • Throw techs: profile 1.9 · reference 0.38
   • Got thrown: profile 3.9 · reference 2.14

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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

1. 01

   Test the close-range pattern

   Throws: profile 3 · reference 3.44

   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 3 · reference 3.44
   • Throw techs: profile 1.9 · reference 0.38
   • Got thrown: profile 3.9 · reference 2.14
2. 02

   Look for a repeatable punish opportunity

   Punish Counters landed: profile 0.4 · reference 0.13

   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

   • Punish Counters landed: profile 0.4 · reference 0.13
   • Got Punish Countered: profile 0.3 · reference 0.1
3. 03

   Test the Drive Impact tendency

   Drive Impact: profile 0.4 · reference 0.27

   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 0.4 · reference 0.27
   • Drive Impact gauge: profile 2.2% · reference 2.2%

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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free