Latest game
VictoryBattle Hub
MA
RYMAUpdated 2 days ago
CrossPlatform
JapanClub · tokyo05C100%
CrossPlatformJapanClub · tokyo05C100%たけさん
Slowly but Surely
MR 1,479#381,362Last 107–3+29Last 2010–100
Winrate
54%
39W · 33L · 72 stored
Ranked matches
72
selected mode
Wins
39
Ranked
Losses
33
Ranked
Peak MR
1,550
Manon
Ranked MR · Manon
72 local · 541 imported · 575 on chart · 84 battles stored
Replay not requested
MARYPlaystyle reference
Habits vs top 30 Manon
Benchmark refreshed Sep 15, 2026, 1:18 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | たけさん | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 9.7% | 30.0% | -20.4% | |
| SA1 | 45.2% | 31.1% | +14.1% | |
| SA2 | 41.9% | 30.7% | +11.3% | |
| Drive Arts | 5.5% | 11.5% | -6.0% | |
| CA | 3.2% | 8.2% | -5.0% | |
| Drive Guard | 6.5% | 11.0% | -4.5% | |
| Drive Rush (parry) | 1.7% | 4.8% | -3.1% | |
| Time cornered | 6.40 | 9.32 | -2.92 | |
| Corner pressure | 4.60 | 6.80 | -2.20 | |
| Drive Impact gauge | 2.3% | 1.6% | +0.7% | |
| Drive Parry | 1.30 | 1.77 | -0.47 | |
| Throws | 2.90 | 2.45 | +0.45 | |
| Drive Rush (cancel) | 43.3% | 42.9% | +0.4% | |
| Drive Reversal | 0.60 | 0.32 | +0.28 | |
| Perfect Parry | 0.30 | 0.57 | -0.27 | |
| Throw parries | 0.10 | 0.21 | -0.11 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Got stunned | 0.00 | 0.07 | -0.07 | |
| Throw techs | 0.60 | 0.54 | +0.06 | |
| Stuns landed | 0.10 | 0.04 | +0.06 | |
| Got thrown | 2.30 | 2.34 | -0.04 | |
| Punish Counters landed | 0.10 | 0.11 | -0.01 | |
| Drive Impact | 0.20 | 0.19 | +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
Review close-range choices
Throws: profile 2.5 · reference 2.53
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 2.5 · reference 2.53
- Throw techs: profile 0.8 · reference 0.56
Find the cause of punish events
Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.11
- Punish Counters landed: profile 0.1 · reference 0.14
Review defensive decisions
Drive Parry: profile 1.7 · reference 1.8
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 Parry: profile 1.7 · reference 1.8
- Drive Reversal: profile 0.8 · reference 0.3
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
Use matchup records as scouting leads
vs Yasmine: 30 wins in 74 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: 30 wins in 74 games
- vs Luke: 31 wins in 68 games
- vs Ken: 33 wins in 67 games
Separate a tendency from a one-off event
Recent stored ranked sample: 23 wins in 37 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 37 games
Probe defense before committing
Drive Parry: profile 1.7 · 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 1.7 · reference 1.8
- Drive Reversal: profile 0.8 · reference 0.3
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