SF6Statsv0.20.20
Akuma
Updated 4 days agoSteamSteamJapanJapanC100%

ひちゃんせ＠ついっち

Let's Do This
Rank 36MR 1,706#25,036
Last 107–3+30Last 2011–9+14
Winrate
57%
92W · 69L · 161 stored
Ranked matches
161
selected mode
Wins
92
Ranked
Losses
69
Ranked
Peak MR
1,706
Akuma

Ranked MR · Akuma

159 local · 0 imported · 159 on chart · 161 battles stored

Latest game

VictoryRanked

Replay not requested
Akuma
ひちゃんせ＠ついっち · Akuma
Alex
Opponent · AlexEMMA
Open replay

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
ひちゃんせ＠ついっち’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ひちゃんせ＠ついっちLegendsDifference LessLegendsMore
SA164.2%28.6%+35.6%
SA316.8%38.7%-21.8%
Drive Arts32.4%19.2%+13.1%
SA210.5%22.8%-12.2%
Corner pressure3.4011.47-8.07
Drive Guard9.4%13.1%-3.8%
Drive Rush (parry)4.4%7.4%-3.1%
Drive Rush (cancel)29.7%32.7%-3.0%
CA8.4%9.9%-1.5%
Time cornered9.808.55+1.25
Drive Impact gauge2.7%1.5%+1.2%
Throws1.602.74-1.14
Perfect Parry0.400.77-0.37
Throw techs0.100.45-0.35
Got Punish Countered0.300.09+0.21
Got thrown1.902.09-0.19
Got stunned0.200.04+0.16
Drive Parry1.501.65-0.15
Punish Counters landed0.200.13+0.07
Throw parries0.200.27-0.07
Stuns landed0.000.03-0.03
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 0.2 · 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 0.2 · reference 0.08

  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.3 · 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 0.3 · reference 0.21
    • Drive Impact gauge: profile 2.5% · reference 1.6%

  3. Give each meter spend a purpose

    SA1: profile 58.2% · reference 29.6%

    Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.

    Try this

    Practice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.

    Supporting stats
    • SA1: profile 58.2% · reference 29.6%
    • SA3: profile 17.6% · reference 35.7%
    • SA2: profile 15.4% · reference 24.2%

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. Use matchup records as scouting leads

    vs A.K.I.: 35 wins in 65 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.

    Supporting stats
    • vs A.K.I.: 35 wins in 65 games
    • vs Ryu: 80 wins in 159 games
    • vs Yasmine: 91 wins in 180 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free