Latest game
VictoryRanked
M.
DEM.Updated 3 hours ago
Steam
JapanC100%
SteamJapanC100%Peace
Let's Do This
MR 1,702#32,113Last 106–4+15Last 2011–9+17
Winrate
59%
56W · 39L · 95 stored
Ranked matches
95
selected mode
Wins
56
Ranked
Losses
39
Ranked
Peak MR
1,740
M. Bison
Ranked MR · M. Bison
95 local · 126 imported · 200 on chart · 95 battles stored
Replay not requested
M.DEPlaystyle 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 | Peace | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 53.2% | 35.2% | +18.0% | |
| SA1 | 17.0% | 33.7% | -16.6% | |
| Drive Arts | 33.2% | 18.7% | +14.5% | |
| Drive Rush (cancel) | 24.6% | 30.0% | -5.4% | |
| CA | 6.4% | 10.2% | -3.8% | |
| Corner pressure | 14.90 | 11.91 | +2.99 | |
| SA2 | 23.4% | 21.0% | +2.4% | |
| Drive Guard | 11.3% | 13.4% | -2.1% | |
| Drive Rush (parry) | 6.1% | 7.2% | -1.1% | |
| Time cornered | 9.30 | 9.85 | -0.55 | |
| Throw techs | 1.10 | 0.57 | +0.53 | |
| Drive Parry | 1.40 | 1.75 | -0.35 | |
| Perfect Parry | 0.50 | 0.74 | -0.24 | |
| Drive Reversal | 0.10 | 0.33 | -0.23 | |
| Throws | 2.60 | 2.42 | +0.18 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Got thrown | 2.70 | 2.59 | +0.11 | |
| Drive Impact gauge | 1.4% | 1.5% | -0.1% | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Throw parries | 0.30 | 0.26 | +0.04 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| 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.
M. Bison · Latest 100
What to improve
Review close-range choices
Got thrown: profile 2.8 · reference 2.34
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
- Got thrown: profile 2.8 · reference 2.34
- Throw techs: profile 0.9 · reference 0.52
- Throws: profile 2.7 · reference 2.43
Trace how you lose or gain space
Time cornered: profile 11.4 · reference 9.13
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
- Time cornered: profile 11.4 · reference 9.13
- Corner pressure: profile 11.3 · reference 12.11
Review defensive decisions
Drive Parry: profile 2 · reference 1.64
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 2 · reference 1.64
- Perfect Parry: profile 0.4 · reference 0.67
- Drive Reversal: profile 0.2 · reference 0.27
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 Char 253: 223 wins in 424 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: 223 wins in 424 games
- vs Luke: 25 wins in 46 games
- vs Yasmine: 19 wins in 39 games
Separate a tendency from a one-off event
Recent stored ranked sample: 30 wins in 53 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: 30 wins in 53 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