Akuma
Updated 7 days agoSteamSteamJapanJapanClub · YaminoHaishinC100%

chabon

Let's Do This
Rank 36MR 1,704#26,001
Last 107–3+42Last 2012–8+45
Winrate
53%
97W · 86L · 183 stored
Ranked matches
183
selected mode
Wins
97
Ranked
Losses
86
Ranked
Peak MR
1,704
Akuma

Ranked MR · Akuma

183 local · 0 imported · 183 on chart · 183 battles stored

Latest game

VictoryRanked

Replay not requested
Akuma
chabon · Akuma
Terry
Opponent · Terry2p側の昇龍でません

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
chabon’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
HabitchabonLegendsDifference LessLegendsMore
SA117.3%28.6%-11.3%
SA350.0%38.7%+11.3%
CA17.3%9.9%+7.4%
SA215.4%22.8%-7.4%
Drive Rush (cancel)37.4%32.7%+4.7%
Drive Guard10.4%13.1%-2.7%
Drive Rush (parry)5.5%7.4%-1.9%
Time cornered7.608.55-0.95
Corner pressure10.9011.47-0.57
Throws2.202.74-0.54
Perfect Parry0.300.77-0.47
Drive Impact gauge1.0%1.5%-0.5%
Drive Arts18.8%19.2%-0.5%
Throw parries0.100.27-0.17
Drive Parry1.501.65-0.15
Drive Impact0.100.20-0.10
Drive Reversal0.100.20-0.10
Got thrown2.002.09-0.09
Got stunned0.100.04+0.06
Throw techs0.500.45+0.05
Stuns landed0.000.03-0.03
Punish Counters landed0.100.13-0.03
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.

Akuma · Latest 100

What to improve

  1. Find the cause of punish events

    Punish Counters landed: profile 0 · reference 0.13

    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 · reference 0.13
    • Got Punish Countered: profile 0.1 · reference 0.08
  2. Review defensive decisions

    Drive Parry: profile 1.4 · reference 1.8

    Compare five defensive situations: what did the opponent do, what did you choose, and what happened? Low parry or throw-tech counts alone do not establish a weakness.

    Try this

    Record two different options from one troublesome situation. Practice identifying them and choosing a response, then review whether the same decision improves in your next set.

    Supporting stats
    • Drive Parry: profile 1.4 · reference 1.8
    • Perfect Parry: profile 0.3 · reference 0.85
    • Drive Reversal: profile 0.2 · reference 0.22
  3. Review close-range choices

    Throws: profile 2.4 · reference 2.66

    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
    • Throws: profile 2.4 · reference 2.66
    • Throw techs: profile 0.5 · reference 0.38
    • Got thrown: profile 2 · reference 2.04

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 6, 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
  2. Probe defense before committing

    Drive Parry: profile 1.4 · reference 1.8

    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 1.4 · reference 1.8
    • Perfect Parry: profile 0.3 · reference 0.85
    • Drive Reversal: profile 0.2 · reference 0.22
  3. Test the close-range pattern

    Throws: profile 2.4 · reference 2.66

    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
    • Throws: profile 2.4 · reference 2.66
    • Throw techs: profile 0.5 · reference 0.38
    • Got thrown: profile 2 · reference 2.04

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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

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