Latest game
DefeatRanked
MA
MAMAUpdated 1 week ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%nekomofu
Let's Do This
LP 19,921Last 103–7Last 206–14
Winrate
38%
42W · 69L · 111 stored
Ranked matches
111
selected mode
Wins
42
Ranked
Losses
69
Ranked
Peak LP
20,916
Mai
Ranked LP · Mai
League points over time for this character
Replay not requested
MAMAPlaystyle reference
Habits vs top 30 Mai
Benchmark refreshed Sep 13, 2026, 7:18 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | nekomofu | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 17.4% | 54.6% | -37.1% | |
| Drive Rush (cancel) | 55.3% | 29.4% | +26.0% | |
| SA3 | 37.2% | 18.6% | +18.6% | |
| Drive Arts | 6.7% | 22.7% | -16.0% | |
| SA2 | 31.4% | 20.2% | +11.2% | |
| CA | 14.0% | 6.6% | +7.3% | |
| Corner pressure | 8.50 | 12.99 | -4.49 | |
| Drive Guard | 9.7% | 13.4% | -3.7% | |
| Drive Rush (parry) | 4.7% | 7.5% | -2.8% | |
| Throws | 4.30 | 2.49 | +1.81 | |
| Time cornered | 8.60 | 9.32 | -0.72 | |
| Got thrown | 2.80 | 2.23 | +0.57 | |
| Perfect Parry | 0.20 | 0.70 | -0.50 | |
| Drive Parry | 1.40 | 1.87 | -0.47 | |
| Drive Reversal | 0.00 | 0.19 | -0.19 | |
| Drive Impact gauge | 1.2% | 1.3% | -0.2% | |
| Got Punish Countered | 0.20 | 0.07 | +0.13 | |
| Punish Counters landed | 0.20 | 0.10 | +0.10 | |
| Stuns landed | 0.00 | 0.06 | -0.06 | |
| Throw techs | 0.40 | 0.46 | -0.06 | |
| Got stunned | 0.10 | 0.05 | +0.05 | |
| Throw parries | 0.30 | 0.26 | +0.04 | |
| Drive Impact | 0.20 | 0.19 | +0.01 |
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.
Mai · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.2 · 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 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 0.2 · reference 0.08
Review close-range choices
Throws: profile 4.3 · reference 2.57
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 4.3 · reference 2.57
- Got thrown: profile 2.8 · reference 2.11
Trace how you lose or gain space
Corner pressure: profile 8.5 · reference 13.38
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 thisRecreate 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
- Corner pressure: profile 8.5 · reference 13.38
- Time cornered: profile 8.6 · reference 8.39
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Yasmine: 87 wins in 202 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.
Supporting stats
- vs Yasmine: 87 wins in 202 games
- vs Ryu: 33 wins in 99 games
- vs Luke: 20 wins in 67 games
Test the close-range pattern
Throws: profile 4.3 · reference 2.57
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 4.3 · reference 2.57
- Got thrown: profile 2.8 · reference 2.11
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.2 · 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 thisTest 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 0.2 · 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free