Akuma
Updated 1 week agoSteamSteamJapanJapanC100%

Naoki

Let's Do This
Rank 36
MR 1,531#163,342
Last 109–1+63Last 2016–4+93
Winrate
57%
47W · 35L · 82 stored
Ranked matches
82
selected mode
Wins
47
Ranked
Losses
35
Ranked
Peak MR
1,559
Akuma

Ranked MR · Akuma

82 local · 0 imported · 82 on chart · 82 battles stored

Latest game

VictoryRanked

Replay not requested
Akuma
Naoki · Akuma
Jamie
Opponent · Jamie九节_虾

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
Naoki’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
HabitNaokiLegendsDifference LessLegendsMore
SA369.4%38.7%+30.7%
SA110.2%28.6%-18.4%
Drive Rush (cancel)47.9%32.7%+15.2%
SA210.2%22.8%-12.6%
Drive Arts8.1%19.2%-11.1%
Drive Rush (parry)4.2%7.4%-3.3%
Corner pressure9.0011.47-2.47
Drive Guard10.8%13.1%-2.4%
Drive Impact gauge2.3%1.5%+0.8%
Time cornered7.908.55-0.65
Got thrown2.602.09+0.51
Throw techs0.100.45-0.35
CA10.2%9.9%+0.3%
Perfect Parry0.600.77-0.17
Throws2.902.74+0.16
Drive Parry1.501.65-0.15
Punish Counters landed0.200.13+0.07
Stuns landed0.100.03+0.07
Got stunned0.000.04-0.04
Throw parries0.300.27+0.03
Got Punish Countered0.100.09+0.01
Drive Impact0.200.20-0.00
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 0.1 · 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 0.1 · reference 0.07
    • Punish Counters landed: profile 0.2 · reference 0.11
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.2 · 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 0.2 · reference 0.21
    • Drive Impact gauge: profile 2.3% · reference 1.4%
  3. Review close-range choices

    Got thrown: profile 2.6 · 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 2.6 · reference 1.99
    • Throw techs: profile 0.1 · 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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.1 · 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 0.1 · reference 0.07
  2. Probe defense before committing

    Perfect Parry: profile 0.6 · reference 0.8

    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
    • Perfect Parry: profile 0.6 · reference 0.8
    • Drive Parry: profile 1.5 · reference 1.79
  3. Separate a tendency from a one-off event

    Recent stored ranked sample: 41 wins in 75 games

    Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

    Try this

    Use the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.

    Supporting stats
    • Recent stored ranked sample: 41 wins in 75 games

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: nex-agi/nex-n2.5-mini:free

Public data

Public statistics and datasets

Results from 82 of 82 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
47games
Losses
35games
Draws
0games
Games
82games
Win rate (draw = half win)
57.32%
Field definitions 5 fields
Wins
Wins · games. wins
Losses
Losses · games. losses
Draws
Draws · games. draws
Games
Games · games. total
Win rate (draw = half win)
Win rate (draw = half win) · percent. winRate Displayed to two decimal places; JSON retains full precision.

Current saved character ratings

13 rows

Scroll if needed to compare columns. Expand Details for the remaining fields.

Current saved character ratings. 13 rows on page 1; 13 rows total.
CharacterMRMR pointsLPLP pointsDetails
Chun-Li0-1
Details for Current saved character ratings, row 1
Character ID
4
Zangief0-1
Details for Current saved character ratings, row 2
Character ID
6
JP0-1
Details for Current saved character ratings, row 3
Character ID
7
Cammy0-1
Details for Current saved character ratings, row 4
Character ID
9
Rashid0-1
Details for Current saved character ratings, row 5
Character ID
14
Juri0-1
Details for Current saved character ratings, row 6
Character ID
16
Marisa0-1
Details for Current saved character ratings, row 7
Character ID
17
Guile0-1
Details for Current saved character ratings, row 8
Character ID
18
E. Honda0-1
Details for Current saved character ratings, row 9
Character ID
20
Jamie0-1
Details for Current saved character ratings, row 10
Character ID
21
Akuma1,531230,623
Details for Current saved character ratings, row 11
Character ID
22
Sagat0-1
Details for Current saved character ratings, row 12
Character ID
25
C. Viper0-1
Details for Current saved character ratings, row 13
Character ID
30
Field definitions 4 fields
Character ID
Character ID · identifier. characterId
Character
Character · text. character
MR
Master Rating · MR points. mr
LP
League Points · LP points. lp

Last saved update: .

Latest saved profile; local results cover at most the newest 10,000 stored matches across all modes.

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