M. Bison
Updated 5 days agoSteamSteamJapanJapanC100%

バニラde高収入♪

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Rank 30LP 18,680
Last 100–10Last 200–20
Winrate
7%
8W · 104L · 116 stored
Ranked matches
116
selected mode
Wins
8
Ranked
Losses
104
Ranked
Peak LP
22,010
M. Bison

Ranked LP · M. Bison

League points over time for this character

Latest game

VictoryCasual

Replay not requested
M. Bison
バニラde高収入♪ · M. Bison
Ken
Opponent · KenDORAGONSEIJI

Playstyle 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. Bison
バニラde高収入♪’s M. Bison benchmark

Compared with the average habits of the top 30 sampled M. Bison players.

刻音|フレミー 2223 · ひらまさ 2201 · Yanai 2182 · inaba 2166 · ああああああ 2135 · +25 others

Largest absolute differences first23 habits
Habitバニラde高収入♪LegendsDifference LessLegendsMore
SA30.0%35.2%-35.2%
SA10.0%33.7%-33.7%
Drive Rush (cancel)0.0%30.0%-30.0%
SA20.0%21.0%-21.0%
Drive Arts0.0%18.7%-18.7%
Drive Guard0.0%13.4%-13.4%
Corner pressure1.3011.91-10.61
CA0.0%10.2%-10.2%
Drive Rush (parry)0.0%7.2%-7.2%
Time cornered15.209.85+5.35
Throws0.002.42-2.42
Got thrown0.502.59-2.09
Drive Parry0.001.75-1.75
Drive Impact gauge0.0%1.5%-1.5%
Perfect Parry0.000.74-0.74
Throw techs0.000.57-0.57
Drive Reversal0.000.33-0.33
Throw parries0.000.26-0.26
Got Punish Countered0.300.09+0.21
Drive Impact0.000.19-0.19
Punish Counters landed0.000.11-0.11
Stuns landed0.000.07-0.07
Got stunned0.000.04-0.04
FROM STATS TO PRACTICE

Match plan

Latest 100

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

  1. Find the cause of punish events

    Got Punish Countered: profile 0.3 · 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 this

    Recreate 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 0.3 · reference 0.07
    • Punish Counters landed: profile 0 · reference 0.1
  2. Trace how you lose or gain space

    Time cornered: profile 15.2 · 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 this

    Recreate 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 15.2 · reference 9.13
    • Corner pressure: profile 1.3 · reference 12.11
  3. Review close-range choices

    Throw techs: profile 0 · 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 this

    Replay 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 0.52
    • Got thrown: profile 0.5 · reference 2.34

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-pro:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.3 · 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 this

    Test 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 0.3 · reference 0.07
    • Punish Counters landed: profile 0 · reference 0.1
  2. Test the close-range pattern

    Got thrown: profile 0.5 · 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 this

    If 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 0.5 · reference 2.34
    • Throw techs: profile 0 · reference 0.52
    • Throws: profile 0 · reference 2.43
  3. Probe defense before committing

    Drive Parry: profile 0 · reference 1.64

    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 this

    Try 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 0 · reference 1.64
    • Drive Reversal: profile 0 · 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-pro:free

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