Latest game
VictoryRanked
MA
AKMAUpdated 9 hours ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%Sweet tooth
Judo Queen
MR 1,442#470,770Last 107–3+28Last 2014–6+58
Winrate
51%
181W · 173L · 354 stored
Ranked matches
354
selected mode
Wins
181
Ranked
Losses
173
Ranked
Peak MR
1,460
Manon
Ranked MR · Manon
353 local · 19 imported · 371 on chart · 434 battles stored
Replay not requested
MAAKPlaystyle 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 | Sweet tooth | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 42.4% | 25.4% | +17.0% | |
| Drive Rush (cancel) | 56.2% | 43.0% | +13.2% | |
| SA3 | 23.5% | 32.9% | -9.4% | |
| Drive Guard | 4.1% | 11.3% | -7.2% | |
| CA | 3.0% | 9.7% | -6.6% | |
| Drive Arts | 5.6% | 11.3% | -5.7% | |
| Corner pressure | 3.40 | 8.16 | -4.76 | |
| Drive Rush (parry) | 0.3% | 5.0% | -4.7% | |
| Drive Impact gauge | 5.1% | 1.8% | +3.3% | |
| Time cornered | 5.60 | 8.72 | -3.12 | |
| Drive Reversal | 1.30 | 0.30 | +1.00 | |
| SA2 | 31.1% | 32.1% | -1.0% | |
| Perfect Parry | 0.00 | 0.64 | -0.64 | |
| Drive Parry | 1.20 | 1.80 | -0.60 | |
| Throw techs | 0.00 | 0.56 | -0.56 | |
| Got thrown | 1.90 | 2.28 | -0.38 | |
| Throws | 2.90 | 2.53 | +0.37 | |
| Got Punish Countered | 0.40 | 0.11 | +0.29 | |
| Drive Impact | 0.40 | 0.22 | +0.18 | |
| Punish Counters landed | 0.30 | 0.14 | +0.16 | |
| Throw parries | 0.10 | 0.20 | -0.10 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| 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
Review close-range choices
Throw techs: profile 0 · reference 0.5
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
- Throw techs: profile 0 · reference 0.5
- Throws: profile 3.1 · reference 2.47
- Got thrown: profile 1.7 · reference 2.19
Trace how you lose or gain space
Corner pressure: profile 3.1 · reference 8
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
- Time cornered: profile 3.3 · reference 8.88
Give each meter spend a purpose
Drive Rush (cancel): profile 55% · reference 43.8%
Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.
Try thisPractice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.
Supporting stats
- Drive Rush (cancel): profile 55% · reference 43.8%
- Drive Arts: profile 7.5% · reference 11%
- SA1: profile 37.4% · reference 26.8%
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Test the Drive Impact tendency
Drive Impact: profile 0.8 · reference 0.21
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 0.8 · reference 0.21
- Drive Impact gauge: profile 7.6% · reference 1.7%
Look for a repeatable punish opportunity
Punish Counters landed: profile 0.6 · reference 0.16
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
- Punish Counters landed: profile 0.6 · reference 0.16
- Got Punish Countered: profile 0.3 · reference 0.1
Probe defense before committing
Drive Reversal: profile 0.9 · reference 0.29
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 Reversal: profile 0.9 · reference 0.29
- Drive Parry: profile 1.1 · reference 1.75
- Perfect Parry: profile 0.1 · reference 0.63
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: dots-studio/dots-3-note-preview:free