Mello

What to improve

1. 01

   Find the cause of punish events

   Punish Counters landed: profile 0.2 · reference 0.11

   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 0.2 · reference 0.11
   • Got Punish Countered: profile 0.1 · reference 0.08
2. 02

   Give each meter spend a purpose

   SA2: profile 0% · reference 15.8%

   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

   • SA2: profile 0% · reference 15.8%
   • SA3: profile 50% · reference 34.6%
   • CA: profile 20% · reference 9.9%
3. 03

   Review defensive decisions

   Drive Parry: profile 3.7 · reference 2.01

   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 3.7 · reference 2.01
   • Perfect Parry: profile 0.5 · reference 0.64
   • Drive Reversal: profile 0 · reference 0.17

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: dots-studio/dots-3-note-preview:free

How to beat this player

1. 01

   Probe defense before committing

   Drive Parry: profile 3.7 · reference 2.01

   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 Parry: profile 3.7 · reference 2.01
   • Perfect Parry: profile 0.5 · reference 0.64
2. 02

   Test the close-range pattern

   Throws: profile 3.4 · reference 2.58

   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 3.4 · reference 2.58
   • Throw techs: profile 0.4 · reference 0.4
   • Got thrown: profile 2.6 · reference 2.07
3. 03

   Build pressure without overextending

   Corner pressure: profile 8.2 · reference 12

   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 8.2 · reference 12
   • Time cornered: profile 8.7 · reference 9.08

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free