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VictoryRanked
MA
C.MAUpdated 5 days ago
Steam
BeninClub · LeDojoBalletC100%
SteamBeninClub · LeDojoBalletC100%Kuragami
Conqueror: Swan of Judo
MR 1,825#6,675Last 108–2+48Last 2012–8+25
Winrate
64%
76W · 42L · 118 stored
Ranked matches
118
selected mode
Wins
76
Ranked
Losses
42
Ranked
Peak MR
1,847
Manon
Ranked MR · Manon
118 local · 0 imported · 118 on chart · 298 battles stored
Replay not requested
MAC.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 | Kuragami | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 41.4% | 25.4% | +16.0% | |
| SA3 | 18.6% | 32.9% | -14.3% | |
| CA | 2.9% | 9.7% | -6.8% | |
| SA2 | 37.1% | 32.1% | +5.1% | |
| Corner pressure | 4.60 | 8.16 | -3.56 | |
| Drive Arts | 14.5% | 11.3% | +3.2% | |
| Drive Rush (cancel) | 45.7% | 43.0% | +2.7% | |
| Time cornered | 10.70 | 8.72 | +1.98 | |
| Drive Rush (parry) | 3.4% | 5.0% | -1.6% | |
| Drive Impact gauge | 2.9% | 1.8% | +1.1% | |
| Throws | 3.30 | 2.53 | +0.77 | |
| Drive Parry | 2.20 | 1.80 | +0.40 | |
| Throw techs | 0.20 | 0.56 | -0.36 | |
| Drive Reversal | 0.00 | 0.30 | -0.30 | |
| Drive Guard | 11.1% | 11.3% | -0.2% | |
| Got stunned | 0.20 | 0.06 | +0.14 | |
| Got Punish Countered | 0.20 | 0.11 | +0.09 | |
| Got thrown | 2.20 | 2.28 | -0.08 | |
| Drive Impact | 0.30 | 0.22 | +0.08 | |
| Punish Counters landed | 0.20 | 0.14 | +0.06 | |
| Perfect Parry | 0.60 | 0.64 | -0.04 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Throw parries | 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.
Manon · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.3 · 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 0.3 · reference 0.11
- Punish Counters landed: profile 0.2 · reference 0.14
Trace how you lose or gain space
Corner pressure: profile 4.3 · reference 8.16
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 4.3 · reference 8.16
- Time cornered: profile 10.2 · reference 8.72
Compare decisions across wins and losses
Recent stored ranked sample: 57 wins in 91 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: 57 wins in 91 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 9, 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: 57 wins in 91 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: 57 wins in 91 games
Probe defense before committing
Drive Parry: profile 3 · reference 1.8
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 3 · reference 1.8
- Perfect Parry: profile 0.7 · reference 0.64
Test the Drive Impact tendency
Drive Impact: profile 0.2 · 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 0.2 · reference 0.22
- Drive Impact gauge: profile 2.9% · 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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free