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MA
ELMAUpdated 20 hours ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%浜にゃん
Flame of the Shiranui
MR 1,304#600,194Last 103–7-30Last 206–14-65
Winrate
42%
30W · 41L · 71 stored
Ranked matches
71
selected mode
Wins
30
Ranked
Losses
41
Ranked
Peak MR
1,393
Mai
Ranked MR · Mai
69 local · 0 imported · 69 on chart · 187 battles stored
Replay not requested
MAELPlaystyle 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 | 浜にゃん | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 1.6% | 20.2% | -18.6% | |
| Drive Rush (cancel) | 12.9% | 29.4% | -16.4% | |
| SA3 | 32.3% | 18.6% | +13.6% | |
| CA | 16.1% | 6.6% | +9.5% | |
| Corner pressure | 7.60 | 12.99 | -5.39 | |
| Drive Guard | 18.5% | 13.4% | +5.1% | |
| SA1 | 50.0% | 54.6% | -4.6% | |
| Drive Arts | 25.9% | 22.7% | +3.1% | |
| Drive Impact gauge | 4.4% | 1.3% | +3.1% | |
| Time cornered | 12.00 | 9.32 | +2.68 | |
| Drive Rush (parry) | 9.4% | 7.5% | +2.0% | |
| Perfect Parry | 0.10 | 0.70 | -0.60 | |
| Throws | 3.00 | 2.49 | +0.51 | |
| Got thrown | 2.60 | 2.23 | +0.37 | |
| Drive Reversal | 0.00 | 0.19 | -0.19 | |
| Throw techs | 0.30 | 0.46 | -0.16 | |
| Drive Parry | 2.00 | 1.87 | +0.13 | |
| Got Punish Countered | 0.20 | 0.07 | +0.13 | |
| Drive Impact | 0.30 | 0.19 | +0.11 | |
| Got stunned | 0.10 | 0.05 | +0.05 | |
| Stuns landed | 0.10 | 0.06 | +0.04 | |
| Throw parries | 0.30 | 0.26 | +0.04 | |
| Punish Counters landed | 0.10 | 0.10 | -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.
Mai · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.4 · reference 0.19
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.
Supporting stats
- Drive Impact: profile 0.4 · reference 0.19
Find the cause of punish events
Got Punish Countered: profile 0.2 · reference 0.07
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 0.07
Review close-range choices
Throws: profile 3.7 · reference 2.44
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 3.7 · reference 2.44
- Throw techs: profile 0.3 · reference 0.47
- Got thrown: profile 2.6 · reference 2.23
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: nex-agi/nex-n2.5-mini:free
How to beat this player
Separate a tendency from a one-off event
Recent stored ranked sample: 29 wins in 63 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.
Supporting stats
- Recent stored ranked sample: 29 wins in 63 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 7, 2026 · AI: nex-agi/nex-n2.5-mini:free