Akuma
Updated 5 days agoSteamSteamJapanJapanClub · EsukesBarC100%

ao11=BADGUY

Let's Do This
Rank 36MR 1,714#21,927
Last 101–0+8Last 201–0+8
Winrate
100%
1W · 0L · 1 stored
Ranked matches
1
selected mode
Wins
1
Ranked
Losses
0
Ranked
Peak MR
1,714
Akuma

Ranked MR · Akuma

1 local · 0 imported · 1 on chart · 233 battles stored

Not enough ranked MR points in this range yet.

Latest game

DefeatBattle Hub

Replay not requested
Elena
ao11=BADGUY · Elena
Ken
Opponent · Kenfushiana07_twt

Playstyle reference

Habits vs top 30 Akuma

Benchmark refreshed Sep 13, 2026, 7:27 AM

Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details

Akuma
ao11=BADGUY’s Akuma benchmark

Compared with the average habits of the top 30 sampled Akuma players.

Naooonn 2213 · DaigoTheBeasTV 2204 · 一瞬一瞬 2158 · touwa 2114 · ドスバギイ 2113 · +25 others

Largest absolute differences first23 habits
Habitao11=BADGUYLegendsDifference LessLegendsMore
SA356.5%38.7%+17.9%
SA115.2%28.6%-13.4%
Time cornered3.908.55-4.65
CA6.5%9.9%-3.4%
Drive Arts21.4%19.2%+2.2%
Drive Rush (cancel)31.2%32.7%-1.5%
Corner pressure13.0011.47+1.53
Drive Rush (parry)6.1%7.4%-1.3%
Drive Guard12.1%13.1%-1.1%
SA221.7%22.8%-1.0%
Got thrown1.602.09-0.49
Drive Parry1.201.65-0.45
Throws2.302.74-0.44
Drive Reversal0.000.20-0.20
Perfect Parry0.600.77-0.17
Drive Impact0.100.20-0.10
Stuns landed0.100.03+0.07
Throw techs0.500.45+0.05
Got stunned0.000.04-0.04
Throw parries0.300.27+0.03
Punish Counters landed0.100.13-0.03
Got Punish Countered0.100.09+0.01
Drive Impact gauge1.5%1.5%-0.0%
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.

Akuma · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.2 · reference 0.21

    Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.

    Try this

    Record Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.

    Supporting stats
    • Drive Impact: profile 0.2 · reference 0.21
    • Drive Impact gauge: profile 2.1% · reference 1.4%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.2 · reference 0.11

    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 0.11
    • Got Punish Countered: profile 0 · reference 0.07
  3. Trace how you lose or gain space

    Corner pressure: profile 13.8 · reference 12.25

    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 13.8 · reference 12.25
    • Time cornered: profile 3.6 · reference 7.79

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. Use matchup records as scouting leads

    vs Char 253: 468 wins in 652 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 Char 253: 468 wins in 652 games
    • vs Akuma: 128 wins in 157 games
    • vs Luke: 53 wins in 65 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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