Latest game
DefeatRanked
MA
M.MAUpdated 7 days ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%nanimo
Ungrabbable Collar
MR 1,219#585,238Last 104–6-24Last 2010–10-2
Winrate
38%
25W · 41L · 66 stored
Ranked matches
66
selected mode
Wins
25
Ranked
Losses
41
Ranked
Peak MR
1,477
Manon
Ranked MR · Manon
66 local · 0 imported · 66 on chart · 100 battles stored
Replay not requested
MAM.Playstyle reference
Habits vs top 30 Manon
Benchmark refreshed Sep 7, 2026, 7:24 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | nanimo | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 10.2% | 32.9% | -22.7% | |
| SA2 | 54.1% | 32.1% | +22.0% | |
| Drive Arts | 5.5% | 11.3% | -5.9% | |
| Drive Rush (cancel) | 47.7% | 43.0% | +4.7% | |
| Drive Rush (parry) | 0.6% | 5.0% | -4.4% | |
| Drive Guard | 7.1% | 11.3% | -4.2% | |
| Drive Impact gauge | 5.6% | 1.8% | +3.8% | |
| Corner pressure | 4.70 | 8.16 | -3.46 | |
| SA1 | 28.6% | 25.4% | +3.2% | |
| Time cornered | 6.20 | 8.72 | -2.52 | |
| CA | 7.1% | 9.7% | -2.5% | |
| Throws | 3.20 | 2.53 | +0.67 | |
| Perfect Parry | 0.20 | 0.64 | -0.44 | |
| Drive Reversal | 0.70 | 0.30 | +0.40 | |
| Got thrown | 2.00 | 2.28 | -0.28 | |
| Drive Impact | 0.50 | 0.22 | +0.28 | |
| Punish Counters landed | 0.40 | 0.14 | +0.26 | |
| Drive Parry | 1.90 | 1.80 | +0.10 | |
| Throw parries | 0.10 | 0.20 | -0.10 | |
| Got Punish Countered | 0.20 | 0.11 | +0.09 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Throw techs | 0.50 | 0.56 | -0.06 | |
| Got stunned | 0.10 | 0.06 | +0.04 |
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.
Manon · Latest 100
What to improve
Compare decisions across wins and losses
Recent stored ranked sample: 23 wins in 62 games
Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.
Try thisWrite down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.
Supporting stats
- Recent stored ranked sample: 23 wins in 62 games
Study a recurring matchup situation
vs Yasmine: 59 wins in 146 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 Yasmine: 59 wins in 146 games
- vs Ryu: 68 wins in 126 games
Make Drive Impact a deliberate choice
Drive Impact: profile 0.5 · reference 0.22
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 0.5 · reference 0.22
- Drive Impact gauge: profile 5.6% · 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: nex-agi/nex-n2.5-mini:free
How to beat this player
Separate a tendency from a one-off event
Recent stored ranked sample: 23 wins in 62 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: 23 wins in 62 games
Use matchup records as scouting leads
vs Yasmine: 59 wins in 146 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: 59 wins in 146 games
Test the Drive Impact tendency
Drive Impact: profile 0.5 · 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 thisRevisit 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 0.5 · reference 0.22
- Drive Impact gauge: profile 5.6% · 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: nex-agi/nex-n2.5-mini:free