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M.
LIM.Updated 5 days ago
CrossPlatform
JapanClub · VEGAchamaLOVERsC100%
CrossPlatformJapanClub · VEGAchamaLOVERsC100%膝圧悪夢系ギャル†ちょぼ
Fights for Love
Last 106–4Last 208–6
Winrate
57%
8W · 6L · 14 stored
Ranked matches
14
selected mode
Wins
8
Ranked
Losses
6
Ranked
Peak LP
19,904
M. Bison
Ranked LP · M. Bison
League points over time for this character
Replay not requested
M.LIPlaystyle reference
Habits vs top 30 M. Bison
Benchmark refreshed Sep 13, 2026, 1:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
M.Largest absolute differences first23 habits
| Habit | 膝圧悪夢系ギャル†ちょぼ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 15.4% | 35.2% | -19.8% | |
| Drive Rush (cancel) | 13.1% | 30.0% | -16.9% | |
| Drive Arts | 33.5% | 18.7% | +14.7% | |
| CA | 24.6% | 10.2% | +14.4% | |
| SA2 | 30.8% | 21.0% | +9.8% | |
| SA1 | 29.2% | 33.7% | -4.4% | |
| Time cornered | 6.80 | 9.85 | -3.05 | |
| Drive Rush (parry) | 8.6% | 7.2% | +1.4% | |
| Corner pressure | 10.60 | 11.91 | -1.31 | |
| Drive Guard | 12.3% | 13.4% | -1.0% | |
| Drive Parry | 0.80 | 1.75 | -0.95 | |
| Throws | 1.60 | 2.42 | -0.82 | |
| Perfect Parry | 0.10 | 0.74 | -0.64 | |
| Throw techs | 0.10 | 0.57 | -0.47 | |
| Got thrown | 2.30 | 2.59 | -0.29 | |
| Throw parries | 0.10 | 0.26 | -0.16 | |
| Punish Counters landed | 0.20 | 0.11 | +0.09 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Drive Reversal | 0.40 | 0.33 | +0.07 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Drive Impact gauge | 1.6% | 1.5% | +0.0% | |
| Got Punish Countered | 0.10 | 0.09 | +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.
M. Bison · Latest 100
What to improve
Review defensive decisions
Perfect Parry: profile 0.1 · reference 0.68
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
- Perfect Parry: profile 0.1 · reference 0.68
- Drive Parry: profile 0.8 · reference 1.76
- Throw techs: profile 0.1 · reference 0.47
Find the cause of punish events
Got Punish Countered: profile 0.1 · reference 0.07
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 0.1 · reference 0.07
Give each meter spend a purpose
Drive Arts: profile 33.5% · reference 17.8%
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 Arts: profile 33.5% · reference 17.8%
- SA2: profile 30.8% · reference 18.6%
- CA: profile 24.6% · reference 10.6%
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Akuma: 13 wins in 36 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 Akuma: 13 wins in 36 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free