Akuma
Updated 7 days agoSteamSteamJapanJapanC100%

yuzukk0

Let's Do This
Rank 36MR 1,513#198,016
Last 102–1+8Last 202–1+8
Winrate
67%
2W · 1L · 3 stored
Ranked matches
3
selected mode
Wins
2
Ranked
Losses
1
Ranked
Peak MR
1,513
Akuma

Ranked MR · Akuma

3 local · 0 imported · 3 on chart · 66 battles stored

Latest game

VictoryCasual

Replay not requested
Akuma
yuzukk0 · Akuma
C. Viper
Opponent · C. ViperYurutaNien_pc

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
yuzukk0’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
Habityuzukk0LegendsDifference LessLegendsMore
SA25.9%22.8%-16.9%
SA352.9%38.7%+14.3%
Drive Rush (cancel)42.7%32.7%+10.0%
CA17.6%9.9%+7.7%
Drive Guard7.0%13.1%-6.1%
Drive Rush (parry)1.8%7.4%-5.7%
SA123.5%28.6%-5.1%
Corner pressure8.4011.47-3.07
Time cornered7.108.55-1.45
Drive Arts20.4%19.2%+1.2%
Perfect Parry0.300.77-0.47
Throw techs0.700.45+0.25
Got thrown2.302.09+0.21
Drive Impact gauge1.3%1.5%-0.2%
Throws2.902.74+0.16
Throw parries0.400.27+0.13
Drive Reversal0.100.20-0.10
Stuns landed0.100.03+0.07
Got stunned0.100.04+0.06
Drive Parry1.601.65-0.05
Punish Counters landed0.100.13-0.03
Got Punish Countered0.100.09+0.01
Drive Impact0.200.20-0.00
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. Review defensive decisions

    Perfect Parry: profile 0.3 · reference 0.85

    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
    • Perfect Parry: profile 0.3 · reference 0.85
    • Drive Parry: profile 1.6 · reference 1.8
    • Drive Reversal: profile 0.1 · reference 0.22
  2. Give each meter spend a purpose

    SA2: profile 5.9% · reference 24.2%

    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
    • SA2: profile 5.9% · reference 24.2%
    • SA1: profile 23.5% · reference 29.6%
    • SA3: profile 52.9% · reference 35.7%
  3. Trace how you lose or gain space

    Corner pressure: profile 8.4 · reference 12.38

    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 8.4 · reference 12.38
    • Time cornered: profile 7.1 · reference 8.05

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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Mai: 18 wins in 27 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 Mai: 18 wins in 27 games
    • vs Luke: 17 wins in 45 games
    • vs Ken: 16 wins in 42 games
  2. Test the close-range pattern

    Throw techs: profile 0.7 · reference 0.38

    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
    • Throw techs: profile 0.7 · reference 0.38
    • Throws: profile 2.9 · reference 2.66
    • Got thrown: profile 2.3 · reference 2.04
  3. Probe defense before committing

    Drive Reversal: profile 0.1 · reference 0.22

    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 Reversal: profile 0.1 · reference 0.22
    • Perfect Parry: profile 0.3 · reference 0.85
    • Drive Parry: profile 1.6 · reference 1.8

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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

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