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VictoryRanked
M.
RYM.Updated 2 days ago
Steam
JapanClub · MasayaNC100%
SteamJapanClub · MasayaNC100%Shinobuu
Curry, Three Meals a Day
MR 1,564#122,599Last 106–4+17Last 2010–100
Winrate
46%
29W · 34L · 63 stored
Ranked matches
63
selected mode
Wins
29
Ranked
Losses
34
Ranked
Peak MR
1,653
M. Bison
Ranked MR · M. Bison
63 local · 0 imported · 63 on chart · 63 battles stored
Replay not requested
M.RYPlaystyle 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 | Shinobuu | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 46.0% | 33.7% | +12.4% | |
| Drive Rush (cancel) | 17.8% | 30.0% | -12.2% | |
| SA2 | 11.1% | 21.0% | -9.8% | |
| Drive Rush (parry) | 10.4% | 7.2% | +3.2% | |
| CA | 7.9% | 10.2% | -2.3% | |
| Drive Guard | 15.5% | 13.4% | +2.2% | |
| Drive Arts | 20.7% | 18.7% | +2.0% | |
| Corner pressure | 11.00 | 11.91 | -0.91 | |
| Perfect Parry | 0.20 | 0.74 | -0.54 | |
| Got thrown | 3.00 | 2.59 | +0.41 | |
| Throw techs | 0.30 | 0.57 | -0.27 | |
| SA3 | 34.9% | 35.2% | -0.3% | |
| Throws | 2.60 | 2.42 | +0.18 | |
| Throw parries | 0.10 | 0.26 | -0.16 | |
| Drive Parry | 1.60 | 1.75 | -0.15 | |
| Drive Reversal | 0.20 | 0.33 | -0.13 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Drive Impact gauge | 1.4% | 1.5% | -0.1% | |
| Time cornered | 9.90 | 9.85 | +0.05 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Punish Counters landed | 0.10 | 0.11 | -0.01 | |
| 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
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
- Punish Counters landed: profile 0.1 · reference 0.1
Review close-range choices
Throw techs: profile 0.3 · reference 0.52
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 0.3 · reference 0.52
- Got thrown: profile 3.1 · reference 2.34
- Throws: profile 2.7 · reference 2.43
Trace how you lose or gain space
Time cornered: profile 10.3 · 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 10.3 · reference 9.13
- Corner pressure: profile 11 · reference 12.11
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 10, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
Probe defense before committing
Got thrown: profile 3.1 · reference 2.34
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
- Got thrown: profile 3.1 · reference 2.34
Test the close-range pattern
Got thrown: profile 3.1 · reference 2.34
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
- Got thrown: profile 3.1 · reference 2.34
- Throw techs: profile 0.3 · reference 0.52
- Throws: profile 2.7 · reference 2.43
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.1 · reference 0.07
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
- Got Punish Countered: profile 0.1 · reference 0.07
- Punish Counters landed: profile 0.1 · reference 0.1
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 10, 2026 · AI: nex-agi/nex-n2.5-pro:free