M. Bison
Updated 2 days agoSteamSteamJapanJapanC100%

RocCACACA

Shared Destiny
Rank 36MR 1,477#380,408
Last 107–3+32Last 2012–8+32
Winrate
48%
44W · 47L · 91 stored
Ranked matches
91
selected mode
Wins
44
Ranked
Losses
47
Ranked
Peak MR
1,523
M. Bison

Ranked MR · M. Bison

87 local · 0 imported · 87 on chart · 91 battles stored

Latest game

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M. Bison
RocCACACA · M. Bison
Akuma
Opponent · Akumasklzzz

Playstyle reference

Habits vs top — M. Bison

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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

    Punish Counters landed: profile 0.2 · reference 0.09

    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 0.2 · reference 0.09
  2. Trace how you lose or gain space

    Corner pressure: profile 7.4 · reference 12.04

    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 7.4 · reference 12.04
    • Time cornered: profile 11.2 · reference 9.28
  3. Give each meter spend a purpose

    SA3: profile 17.9% · reference 40.4%

    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
    • SA3: profile 17.9% · reference 40.4%
    • SA1: profile 46.4% · reference 30.3%

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: dots-studio/dots-3-note-preview: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
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.2 · reference 0.18

    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 0.2 · reference 0.18
    • Drive Impact gauge: profile 2.2% · reference 1.4%
  3. Use matchup records as scouting leads

    vs Ryu: 18 wins in 32 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If 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 Ryu: 18 wins in 32 games
    • vs Luke: 17 wins in 32 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: dots-studio/dots-3-note-preview:free

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