M. Bison
Updated 1 week agoSteamSteamJapanJapanClub · ZAFTC100%

MAKOTO

Little by Little
Rank 36MR 1,618#58,635
Last 107–3+38Last 2013–7+54
Winrate
55%
51W · 41L · 92 stored
Ranked matches
92
selected mode
Wins
51
Ranked
Losses
41
Ranked
Peak MR
1,654
M. Bison

Ranked MR · M. Bison

92 local · 0 imported · 92 on chart · 129 battles stored

Latest game

VictoryRanked

Replay not requested
A.K.I.
MAKOTO · A.K.I.
Alex
Opponent · Alexketarosu

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
MAKOTO’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
HabitMAKOTOLegendsDifference LessLegendsMore
SA26.5%21.0%-14.4%
SA143.5%33.7%+9.8%
SA342.4%35.2%+7.2%
Drive Guard16.9%13.4%+3.5%
Drive Arts15.5%18.7%-3.3%
CA7.6%10.2%-2.6%
Drive Rush (parry)8.9%7.2%+1.7%
Drive Parry3.101.75+1.35
Drive Rush (cancel)31.1%30.0%+1.1%
Corner pressure12.7011.91+0.79
Throws3.002.42+0.58
Drive Impact gauge1.2%1.5%-0.4%
Time cornered9.509.85-0.35
Got thrown2.302.59-0.29
Drive Reversal0.500.33+0.17
Perfect Parry0.600.74-0.14
Drive Impact0.100.19-0.09
Throw techs0.500.57-0.07
Throw parries0.200.26-0.06
Got stunned0.100.04+0.06
Stuns landed0.100.07+0.03
Punish Counters landed0.100.11-0.01
Got Punish Countered0.100.09+0.01
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.

A.K.I. · Latest 100

What to improve

  1. Give each meter spend a purpose

    Drive Rush (cancel): profile 31.1% · reference 23%

    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 this

    Practice 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 Rush (cancel): profile 31.1% · reference 23%
    • Drive Rush (parry): profile 8.9% · reference 11.5%
  2. Trace how you lose or gain space

    Corner pressure: profile 12.7 · reference 12.18

    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
    • Corner pressure: profile 12.7 · reference 12.18
    • Time cornered: profile 9.5 · reference 9.75
  3. Find the cause of punish events

    Punish Counters landed: profile 0.1 · reference 0.1

    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
    • Punish Counters landed: profile 0.1 · reference 0.1
    • Got Punish Countered: 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.1 · reference 0.21

    Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.

    Try this

    Revisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.

    Supporting stats
    • Drive Impact: profile 0.1 · reference 0.21
    • Drive Impact gauge: profile 1.2% · reference 1.6%
  2. Probe defense before committing

    Drive Parry: profile 3.1 · reference 1.77

    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 3.1 · reference 1.77
    • Perfect Parry: profile 0.6 · reference 0.54
  3. Adapt to the visible gauge

    SA2: profile 6.5% · reference 20.4%

    Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.

    Try this

    After a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.

    Supporting stats
    • SA2: profile 6.5% · reference 20.4%
    • SA3: profile 42.4% · reference 31.9%

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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