Akuma
Updated 2 hours agoSteamSteamJapanJapanClub · ToriKingdomC100%

にゃんみど@youtube配信

Adobo sa Ketchup
Rank 36MR 2,094#455
Last 107–3+33Last 2014–6+73
Winrate
52%
195W · 181L · 376 stored
Ranked matches
376
selected mode
Wins
195
Ranked
Losses
181
Ranked
Peak MR
2,171
Akuma

Ranked MR · Akuma

392 local · 0 imported · 392 on chart · 551 battles stored

Latest game

VictoryRanked

Replay not requested
Yasmine
にゃんみど@youtube配信 · Yasmine
Chun-Li
Opponent · Chun-Limomomomomo

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
にゃんみど@youtube配信’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にゃんみど@youtube配信LegendsDifference LessLegendsMore
CA6.3%9.9%-3.6%
Corner pressure14.7011.47+3.23
Drive Rush (parry)5.1%7.4%-2.4%
Drive Guard11.2%13.1%-1.9%
SA130.5%28.6%+1.9%
Drive Arts17.7%19.2%-1.5%
Drive Rush (cancel)34.1%32.7%+1.4%
SA340.0%38.7%+1.3%
Time cornered7.408.55-1.15
Drive Parry2.401.65+0.75
Throws3.202.74+0.46
Drive Reversal0.600.20+0.40
SA223.2%22.8%+0.4%
Drive Impact gauge1.8%1.5%+0.3%
Got thrown1.902.09-0.19
Perfect Parry0.600.77-0.17
Throw techs0.600.45+0.15
Got stunned0.000.04-0.04
Stuns landed0.000.03-0.03
Throw parries0.300.27+0.03
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 1.2 · reference 1.8
    • Drive Reversal: profile 0.6 · reference 0.22
  2. Find the cause of punish events

    Got Punish Countered: profile 0.1 · reference 0.08

    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
    • Got Punish Countered: profile 0.1 · reference 0.08
    • Punish Counters landed: profile 0.3 · reference 0.13
  3. Review close-range choices

    Throw techs: profile 0.6 · 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 0.6 · reference 0.38
    • Got thrown: profile 1.6 · 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Probe defense before committing

    Drive Reversal: profile 0.6 · 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 0.6 · reference 0.22
    • Drive Parry: profile 1.2 · reference 1.8
    • Perfect Parry: profile 0.3 · reference 0.85
  2. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.1 · reference 0.08

    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 0.1 · reference 0.08
  3. Test the close-range pattern

    Throw techs: profile 0.6 · 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 0.6 · reference 0.38
    • Got thrown: profile 1.6 · 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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