beron

What to improve

1. 01

   Find the cause of punish events

   Got Punish Countered: profile 0.1 · 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

   • Got Punish Countered: profile 0.1 · reference 0.08
   • Punish Counters landed: profile 0.1 · reference 0.13
2. 02

   Make Drive Impact a deliberate choice

   Drive Impact: profile 0.5 · reference 0.34

   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 0.5 · reference 0.34
   • Drive Impact gauge: profile 3.1% · reference 2.1%
3. 03

   Trace how you lose or gain space

   Time cornered: profile 18.4 · reference 12.04

   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

   • Time cornered: profile 18.4 · reference 12.04
   • Corner pressure: profile 10.6 · reference 10.77

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 Drive Impact tendency

   Drive Impact: profile 0.5 · reference 0.34

   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 0.5 · reference 0.34
   • Drive Impact gauge: profile 3.1% · reference 2.1%
2. 02

   Probe defense before committing

   Drive Reversal: profile 0.3 · reference 0.13

   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

   • Drive Reversal: profile 0.3 · reference 0.13
   • Perfect Parry: profile 0.6 · reference 0.79
   • Throw techs: profile 0.5 · reference 0.39
3. 03

   Look for a repeatable punish opportunity

   Got Punish Countered: profile 0.1 · reference 0.08

   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 0.1 · reference 0.08

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