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DefeatRanked
MA
A.MAUpdated 6 days ago
Steam
JapanClub · ChikuhoSwanC100%
SteamJapanClub · ChikuhoSwanC100%misosoup
SF Alpha Fan
MR 1,566#115,314Last 103–7-42Last 205–15-85
Winrate
27%
7W · 19L · 26 stored
Ranked matches
26
selected mode
Wins
7
Ranked
Losses
19
Ranked
Peak MR
1,592
Manon
Ranked MR · Manon
26 local · 0 imported · 26 on chart · 26 battles stored
Replay not requested
MAA.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 | misosoup | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 13.3% | 25.4% | -12.1% | |
| SA3 | 44.4% | 32.9% | +11.6% | |
| CA | 20.0% | 9.7% | +10.3% | |
| SA2 | 22.2% | 32.1% | -9.8% | |
| Drive Arts | 5.5% | 11.3% | -5.8% | |
| Drive Rush (cancel) | 48.2% | 43.0% | +5.2% | |
| Corner pressure | 3.10 | 8.16 | -5.06 | |
| Drive Guard | 7.4% | 11.3% | -3.9% | |
| Drive Rush (parry) | 1.9% | 5.0% | -3.1% | |
| Drive Impact gauge | 2.4% | 1.8% | +0.6% | |
| Drive Parry | 1.40 | 1.80 | -0.40 | |
| Throws | 2.20 | 2.53 | -0.33 | |
| Throw techs | 0.80 | 0.56 | +0.24 | |
| Perfect Parry | 0.40 | 0.64 | -0.24 | |
| Time cornered | 8.50 | 8.72 | -0.22 | |
| Drive Reversal | 0.10 | 0.30 | -0.20 | |
| Throw parries | 0.10 | 0.20 | -0.10 | |
| Drive Impact | 0.30 | 0.22 | +0.08 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.00 | 0.06 | -0.06 | |
| Punish Counters landed | 0.20 | 0.14 | +0.06 | |
| Got thrown | 2.30 | 2.28 | +0.02 | |
| Got Punish Countered | 0.10 | 0.11 | -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.
Manon · Latest 100
What to improve
Trace how you lose or gain space
Corner pressure: profile 3.1 · 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 3.1 · reference 8.16
- Time cornered: profile 8.5 · reference 8.72
Find the cause of punish events
Punish Counters landed: profile 0.2 · reference 0.14
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
- Punish Counters landed: profile 0.2 · reference 0.14
- Got Punish Countered: profile 0.1 · reference 0.11
Review defensive decisions
Drive Reversal: profile 0.1 · reference 0.3
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 Reversal: profile 0.1 · reference 0.3
- Perfect Parry: profile 0.4 · reference 0.64
- Drive Parry: profile 1.4 · 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: dots-studio/dots-3-note-preview:free
How to beat this player
Test the Drive Impact tendency
Drive Impact: profile 0.3 · 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 0.3 · reference 0.22
- Drive Impact gauge: profile 2.4% · reference 1.8%
Test the close-range pattern
Throws: profile 2.2 · reference 2.53
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 2.2 · reference 2.53
- Got thrown: profile 2.3 · reference 2.28
Use matchup records as scouting leads
vs Char 253: 410 wins in 828 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 Char 253: 410 wins in 828 games
- vs Akuma: 52 wins in 105 games
- vs Yasmine: 32 wins in 62 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 8, 2026 · AI: dots-studio/dots-3-note-preview:free