Akuma
Updated 18 hours agoSteamSteamJapanJapanC100%

sei53

Let's Do This
Rank 36MR 1,361#569,813
Last 102–8-43Last 207–13-42
Winrate
46%
59W · 68L · 127 stored
Ranked matches
127
selected mode
Wins
59
Ranked
Losses
68
Ranked
Peak MR
1,444
Akuma

Ranked MR · Akuma

127 local · 642 imported · 763 on chart · 127 battles stored

Latest game

DefeatRanked

Replay not requested
Akuma
sei53 · Akuma
Mai
Opponent · MaiA.N.

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
sei53’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
Habitsei53LegendsDifference LessLegendsMore
SA20.0%22.8%-22.8%
SA353.6%38.7%+14.9%
CA21.4%9.9%+11.5%
Drive Arts28.0%19.2%+8.8%
Drive Guard5.2%13.1%-8.0%
Drive Rush (parry)1.1%7.4%-6.4%
SA125.0%28.6%-3.6%
Drive Impact gauge3.9%1.5%+2.4%
Got thrown2.802.09+0.71
Time cornered9.208.55+0.65
Throws2.102.74-0.64
Corner pressure12.0011.47+0.53
Perfect Parry0.400.77-0.37
Drive Parry1.301.65-0.35
Got Punish Countered0.300.09+0.21
Drive Impact0.400.20+0.20
Throw parries0.100.27-0.17
Throw techs0.600.45+0.15
Drive Rush (cancel)32.6%32.7%-0.1%
Punish Counters landed0.200.13+0.07
Got stunned0.100.04+0.06
Stuns landed0.000.03-0.03
Drive Reversal0.200.20+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. Find the cause of punish events

    Got Punish Countered: profile 0.2 · reference 0.07

    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 0.2 · reference 0.07
    • Punish Counters landed: profile 0.2 · reference 0.11
  2. Trace how you lose or gain space

    Time cornered: profile 9.4 · reference 7.79

    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
    • Time cornered: profile 9.4 · reference 7.79
    • Corner pressure: profile 11.4 · reference 12.25
  3. Review close-range choices

    Got thrown: profile 2.3 · reference 1.99

    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
    • Got thrown: profile 2.3 · reference 1.99
    • Throws: profile 2.8 · reference 2.8
    • Throw techs: profile 0.5 · reference 0.4

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 12, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · reference 0.07

    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 0.2 · reference 0.07
    • Punish Counters landed: profile 0.2 · reference 0.11
  2. Test the close-range pattern

    Got thrown: profile 2.3 · reference 1.99

    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
    • Got thrown: profile 2.3 · reference 1.99
    • Throws: profile 2.8 · reference 2.8
    • Throw techs: profile 0.5 · reference 0.4
  3. Test the Drive Impact tendency

    Drive Impact: profile 0.3 · 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 0.3 · reference 0.21
    • Drive Impact gauge: profile 2.9% · reference 1.4%

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 12, 2026 · AI: nex-agi/nex-n2.5-pro:free

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