Akuma
Updated 8 hours agoSteamSteamJapanJapanC100%

シグマ・R・煌・銀閃

Out-mash Their DP by One
Rank 35LP 24,291
Last 105–5Last 209–11
Winrate
48%
63W · 69L · 132 stored
Ranked matches
132
selected mode
Wins
63
Ranked
Losses
69
Ranked
Peak LP
24,351
Akuma

Ranked LP · Akuma

League points over time for this character

Latest game

VictoryRanked

Replay not requested
Akuma
シグマ・R・煌・銀閃 · Akuma
Ryu
Opponent · Ryuyoshioari

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
シグマ・R・煌・銀閃’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
Habitシグマ・R・煌・銀閃LegendsDifference LessLegendsMore
Drive Arts12.4%19.2%-6.9%
SA123.1%28.6%-5.6%
Drive Impact gauge6.7%1.5%+5.2%
SA226.9%22.8%+4.2%
Time cornered6.708.55-1.85
SA340.4%38.7%+1.7%
Drive Rush (parry)8.9%7.4%+1.4%
Corner pressure10.1011.47-1.37
Drive Guard11.8%13.1%-1.3%
Throws1.902.74-0.84
Drive Parry1.001.65-0.65
Perfect Parry0.200.77-0.57
Drive Reversal0.600.20+0.40
Drive Impact0.600.20+0.40
Drive Rush (cancel)32.3%32.7%-0.4%
Throw techs0.100.45-0.35
CA9.6%9.9%-0.3%
Got Punish Countered0.300.09+0.21
Got thrown1.902.09-0.19
Throw parries0.100.27-0.17
Punish Counters landed0.200.13+0.07
Stuns landed0.100.03+0.07
Got stunned0.100.04+0.06
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 0.4 · 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 0.4 · reference 0.21
    • Drive Impact gauge: profile 5.8% · reference 1.6%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.3 · 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 0.3 · reference 0.13
    • Got Punish Countered: profile 0.4 · reference 0.08
  3. Review close-range choices

    Throw techs: profile 0.1 · reference 0.38

    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
    • Throw techs: profile 0.1 · reference 0.38
    • Got thrown: profile 2.7 · 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 9, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.4 · 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 0.4 · reference 0.21
    • Drive Impact gauge: profile 5.8% · reference 1.6%
  2. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.3 · reference 0.13

    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
    • Punish Counters landed: profile 0.3 · reference 0.13
    • Got Punish Countered: profile 0.4 · reference 0.08
  3. Probe defense before committing

    Drive Parry: profile 1.5 · 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 1.5 · reference 1.8
    • Perfect Parry: profile 0.1 · reference 0.85
    • Drive Reversal: profile 0.2 · reference 0.22

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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