Latest game
VictoryRanked
MA
YAMA
Steam
JapanC56%TTO is a pen
Let's Do This
MR 1,458#411,184Last 103–7-30Last 206–14-62
Winrate
35%
12W · 22L · 34 stored
Ranked matches
34
selected mode
Wins
12
Ranked
Losses
22
Ranked
Peak MR
1,511
Marisa
Ranked MR · Marisa
34 local · 0 imported · 34 on chart · 36 battles stored
Replay not requested
MAYAPlaystyle 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
MALargest absolute differences first23 habits
| Habit | TTO is a pen | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 31.0% | 41.8% | -10.8% | |
| Drive Arts | 13.1% | 19.0% | -5.9% | |
| CA | 13.1% | 7.3% | +5.8% | |
| Drive Rush (cancel) | 33.5% | 29.3% | +4.2% | |
| SA2 | 21.4% | 18.1% | +3.3% | |
| Corner pressure | 7.90 | 10.02 | -2.12 | |
| SA3 | 34.5% | 32.8% | +1.7% | |
| Drive Rush (parry) | 9.7% | 8.9% | +0.8% | |
| Drive Parry | 1.10 | 1.56 | -0.46 | |
| Drive Impact gauge | 1.4% | 1.8% | -0.4% | |
| Perfect Parry | 0.20 | 0.59 | -0.39 | |
| Drive Guard | 14.2% | 14.5% | -0.3% | |
| Throws | 1.70 | 2.03 | -0.33 | |
| Got thrown | 2.50 | 2.20 | +0.30 | |
| Drive Reversal | 0.10 | 0.33 | -0.23 | |
| Throw parries | 0.10 | 0.28 | -0.18 | |
| Throw techs | 0.40 | 0.54 | -0.14 | |
| Stuns landed | 0.00 | 0.09 | -0.09 | |
| Got stunned | 0.10 | 0.03 | +0.07 | |
| Time cornered | 7.90 | 7.86 | +0.04 | |
| Got Punish Countered | 0.10 | 0.11 | -0.01 | |
| Punish Counters landed | 0.10 | 0.11 | -0.01 | |
| Drive Impact | 0.20 | 0.20 | +0.00 |
FROM STATS TO PRACTICE
Latest 100Match 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
Find the cause of punish events
Got Punish Countered: profile 0.1 · 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 thisRecreate 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 0.11
- Punish Counters landed: profile 0.1 · reference 0.12
Review close-range choices
Throws: profile 1.7 · reference 2.13
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay 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 1.7 · reference 2.13
- Throw techs: profile 0.4 · reference 0.52
- Got thrown: profile 2.5 · reference 2.3
Review defensive decisions
Drive Parry: profile 1.1 · reference 1.59
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
- Drive Parry: profile 1.1 · reference 1.59
- Perfect Parry: profile 0.2 · reference 0.6
- Drive Reversal: profile 0.1 · reference 0.32
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-pro:free
How to beat this player
Test the close-range pattern
Throws: profile 1.7 · reference 2.13
Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.
Try thisIf 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 1.7 · reference 2.13
- Got thrown: profile 2.5 · reference 2.3
Probe defense before committing
Drive Parry: profile 1.1 · reference 1.59
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
- Drive Parry: profile 1.1 · reference 1.59
- Perfect Parry: profile 0.2 · reference 0.6
- Drive Reversal: profile 0.1 · reference 0.32
Adapt to the visible gauge
CA: profile 13.1% · reference 9%
Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.
Try thisAfter a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.
Supporting stats
- CA: profile 13.1% · reference 9%
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-pro:free