SF6Statsv0.20.20
Akuma
Updated 2 hours agoSteamSteamJapanJapanC100%

DaigoTheBeasTV

Wash The Beast
Rank 36MR 2,204#69
Last 107–3+27Last 2013–7+26
Winrate
60%
292W · 193L · 485 stored
Ranked matches
485
selected mode
Wins
292
Ranked
Losses
193
Ranked
Peak MR
2,373
Akuma

Ranked MR · Akuma

1489 local · 7626 imported · 8190 on chart · 1536 battles stored

Latest game

VictoryRanked

Replay not requested
Akuma
DaigoTheBeasTV · Akuma
Terry
Opponent · TerryNth＿satoru
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
DaigoTheBeasTV’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
HabitDaigoTheBeasTVLegendsDifference LessLegendsMore
SA349.4%38.7%+10.7%
SA121.0%28.6%-7.7%
CA2.5%9.9%-7.5%
SA227.2%22.8%+4.4%
Drive Rush (cancel)30.8%32.7%-1.9%
Time cornered9.908.55+1.35
Drive Arts20.2%19.2%+1.0%
Drive Rush (parry)8.3%7.4%+0.9%
Corner pressure10.9011.47-0.57
Got thrown2.402.09+0.31
Drive Parry1.401.65-0.25
Drive Guard12.9%13.1%-0.2%
Drive Impact gauge1.3%1.5%-0.2%
Throws2.602.74-0.14
Throw parries0.200.27-0.07
Perfect Parry0.700.77-0.07
Throw techs0.400.45-0.05
Got stunned0.000.04-0.04
Stuns landed0.000.03-0.03
Punish Counters landed0.100.13-0.03
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. Review close-range choices

    Got thrown: profile 2.6 · reference 2.04

    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 2.04
    • Throw techs: profile 0.5 · reference 0.38

  2. Trace how you lose or gain space

    Corner pressure: profile 8.6 · reference 12.38

    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 8.6 · reference 12.38
    • Time cornered: profile 9.3 · reference 8.05

  3. Find the cause of punish events

    Punish Counters landed: profile 0.1 · reference 0.13

    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
    • Punish Counters landed: profile 0.1 · reference 0.13
    • Got Punish Countered: profile 0.1 · reference 0.08

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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Cammy: 41 wins in 76 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 Cammy: 41 wins in 76 games
    • vs Alex: 37 wins in 70 games
    • vs Dee Jay: 33 wins in 58 games

  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 59 wins in 100 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: 59 wins in 100 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 8, 2026 · AI: dots-studio/dots-3-note-preview:free