Latest game
Kite(かいと)
Ranked MR
0 local · 0 imported · 0 on chart · 70 battles stored
Not enough ranked MR points in this range yet.
Playstyle reference
Habits vs top 30 Marisa
Benchmark refreshed Sep 12, 2026, 4:25 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
| Habit | Kite(かいと) | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 10.7% | 29.3% | -18.6% | |
| CA | 19.4% | 7.3% | +12.1% | |
| SA3 | 22.3% | 32.8% | -10.4% | |
| Drive Arts | 27.4% | 19.0% | +8.5% | |
| Drive Rush (parry) | 13.6% | 8.9% | +4.6% | |
| SA2 | 14.6% | 18.1% | -3.5% | |
| SA1 | 43.7% | 41.8% | +1.9% | |
| Drive Guard | 16.2% | 14.5% | +1.7% | |
| Got thrown | 3.70 | 2.20 | +1.50 | |
| Time cornered | 9.10 | 7.86 | +1.24 | |
| Drive Parry | 0.80 | 1.56 | -0.76 | |
| Throw techs | 1.10 | 0.54 | +0.56 | |
| Perfect Parry | 0.20 | 0.59 | -0.39 | |
| Throws | 1.70 | 2.03 | -0.33 | |
| Corner pressure | 10.30 | 10.02 | +0.28 | |
| Throw parries | 0.10 | 0.28 | -0.18 | |
| Drive Reversal | 0.20 | 0.33 | -0.13 | |
| Drive Impact | 0.10 | 0.20 | -0.10 | |
| Got Punish Countered | 0.20 | 0.11 | +0.09 | |
| Got stunned | 0.00 | 0.03 | -0.03 | |
| Drive Impact gauge | 1.9% | 1.8% | +0.0% | |
| Punish Counters landed | 0.10 | 0.11 | -0.01 | |
| Stuns landed | 0.10 | 0.09 | +0.01 |
Match plan
Turn this profile’s habits and results into ideas to test. Habits cover all characters; the selected character sets the comparison group.
Checking for a saved match plan…
Uses public profile stats with OpenRouter’s free AI models. Plans are shared and saved for reuse. Suggestions are hypotheses, not replay analysis.Saved match plans
Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.
Marisa · Latest 100
What to improve
Review defensive decisions
Got thrown: profile 3.7 · reference 2.3
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 thisRecord 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
- Got thrown: profile 3.7 · reference 2.3
Study a recurring matchup situation
vs Akuma: 27 wins in 51 games
Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.
Try thisPick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.
Supporting stats
- vs Akuma: 27 wins in 51 games
- vs Manon: 16 wins in 30 games
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: nex-agi/nex-n2.5-mini:free
How to beat this player
Probe defense before committing
Got thrown: profile 3.7 · reference 2.3
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 thisTry 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
- Got thrown: profile 3.7 · reference 2.3
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: nex-agi/nex-n2.5-mini:free

