Takana

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

   Give each meter spend a purpose

   SA3: profile 70.7% · reference 33.7%

   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

   • SA3: profile 70.7% · reference 33.7%
   • SA1: profile 12.2% · reference 35.1%
   • SA2: profile 4.9% · reference 22%
3. 03

   Trace how you lose or gain space

   Time cornered: profile 10.3 · reference 8.3

   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 10.3 · reference 8.3
   • Corner pressure: profile 7.2 · reference 12.84

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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

1. 01

   Probe defense before committing

   Drive Parry: profile 1.7 · reference 1.54

   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 1.7 · reference 1.54
   • Perfect Parry: profile 0.8 · reference 0.55
2. 02

   Build pressure without overextending

   Time cornered: profile 10.3 · reference 8.3

   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

   • Time cornered: profile 10.3 · reference 8.3
   • Corner pressure: profile 7.2 · reference 12.84
3. 03

   Test the Drive Impact tendency

   Drive Impact: profile 0.2 · reference 0.22

   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 0.2 · reference 0.22
   • Drive Impact gauge: profile 1.5% · reference 1.8%

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 8, 2026 · AI: dots-studio/dots-3-note-preview:free