Akuma
Updated 1 hour agoSteamSteamJapanJapanC100%

ニャルC

Aren't We Already Friends?
Rank 36MR 1,656#46,106
Last 108–2+48Last 2015–5+85
Winrate
55%
24W · 20L · 44 stored
Ranked matches
44
selected mode
Wins
24
Ranked
Losses
20
Ranked
Peak MR
1,656
Akuma

Ranked MR · Akuma

44 local · 0 imported · 44 on chart · 108 battles stored

Latest game

DefeatCustom Room

Replay not requested
Akuma
ニャルC · Akuma
Zangief
Opponent · ZangiefApple_KOF

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
ニャルC’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ニャルCLegendsDifference LessLegendsMore
SA240.6%22.8%+17.9%
SA112.5%28.6%-16.1%
Drive Arts11.5%19.2%-7.7%
Drive Rush (parry)4.4%7.4%-3.0%
Corner pressure8.8011.47-2.67
Drive Guard11.3%13.1%-1.9%
Drive Rush (cancel)34.1%32.7%+1.4%
Time cornered9.908.55+1.35
SA337.5%38.7%-1.2%
Got thrown3.202.09+1.11
Throws2.002.74-0.74
CA9.4%9.9%-0.5%
Drive Impact gauge1.2%1.5%-0.3%
Throw techs0.600.45+0.15
Perfect Parry0.900.77+0.13
Drive Impact0.100.20-0.10
Drive Reversal0.100.20-0.10
Throw parries0.200.27-0.07
Got stunned0.100.04+0.06
Drive Parry1.601.65-0.05
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. Review close-range choices

    Throws: profile 2 · reference 2.74

    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 · reference 2.74
    • Got thrown: profile 3.2 · reference 2.09
    • Throw techs: profile 0.6 · reference 0.45
  2. Find the cause of punish events

    Got Punish Countered: profile 0.1 · reference 0.09

    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 0.09
    • Punish Counters landed: profile 0.1 · reference 0.13
  3. Trace how you lose or gain space

    Corner pressure: profile 8.8 · reference 11.47

    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 8.8 · reference 11.47
    • Time cornered: profile 9.9 · reference 8.55

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 14, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Test the close-range pattern

    Throws: profile 2 · reference 2.74

    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 · reference 2.74
    • Throw techs: profile 0.6 · reference 0.45
    • Got thrown: profile 3.2 · reference 2.09
  2. Probe defense before committing

    Perfect Parry: profile 0.9 · reference 0.77

    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
    • Perfect Parry: profile 0.9 · reference 0.77
    • Drive Reversal: profile 0.1 · reference 0.2
    • Throw techs: profile 0.6 · reference 0.45
  3. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.1 · 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 0.1 · reference 0.13
    • Got Punish Countered: profile 0.1 · reference 0.09

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 14, 2026 · AI: nex-agi/nex-n2.5-pro:free

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