chipotle

What to improve

1. 01

   Find the cause of punish events

   Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.12
   • Punish Counters landed: profile 0.2 · reference 0.12
2. 02

   Review close-range choices

   Throws: profile 2.1 · reference 2.32

   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 2.1 · reference 2.32
   • Got thrown: profile 2.3 · reference 2.12
   • Throw techs: profile 0.6 · reference 0.48
3. 03

   Review defensive decisions

   Perfect Parry: profile 0.5 · reference 0.7

   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 0.5 · reference 0.7
   • Drive Parry: profile 1.6 · reference 1.63
   • Drive Reversal: profile 0.4 · reference 0.47

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

   Look for a repeatable punish opportunity

   Got Punish Countered: profile 0.2 · reference 0.12

   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 0.2 · reference 0.12
   • Punish Counters landed: profile 0.2 · reference 0.12
2. 02

   Test the close-range pattern

   Throws: profile 2.1 · reference 2.32

   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 2.1 · reference 2.32
   • Got thrown: profile 2.3 · reference 2.12
   • Throw techs: profile 0.6 · reference 0.48
3. 03

   Probe defense before committing

   Perfect Parry: profile 0.5 · reference 0.7

   Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.

   Try this

   Try your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.

   Supporting stats

   • Perfect Parry: profile 0.5 · reference 0.7
   • Drive Parry: profile 1.6 · reference 1.63

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