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VictoryCustom Room
RY
ED
AKUpdated 43 minutes ago
Steam
JapanC100%
SteamJapanC100%Alba
The Big Boss
MR 1,556#134,757Last 105–5-3Last 207–13-51
Winrate
39%
40W · 62L · 102 stored
Ranked matches
102
selected mode
Wins
40
Ranked
Losses
62
Ranked
Peak MR
1,645
Akuma
Ranked MR · Akuma
102 local · 277 imported · 379 on chart · 230 battles stored
Replay not requested
RYEDPlaystyle 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
AKLargest absolute differences first23 habits
| Habit | Alba | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Arts | 28.7% | 19.2% | +9.5% | |
| SA1 | 24.7% | 28.6% | -4.0% | |
| Drive Guard | 10.2% | 13.1% | -2.9% | |
| Corner pressure | 14.00 | 11.47 | +2.53 | |
| CA | 12.3% | 9.9% | +2.4% | |
| SA2 | 24.7% | 22.8% | +1.9% | |
| Drive Rush (parry) | 5.8% | 7.4% | -1.6% | |
| Time cornered | 7.10 | 8.55 | -1.45 | |
| Throws | 2.10 | 2.74 | -0.64 | |
| Drive Parry | 1.10 | 1.65 | -0.55 | |
| Perfect Parry | 0.30 | 0.77 | -0.47 | |
| Drive Rush (cancel) | 33.0% | 32.7% | +0.3% | |
| SA3 | 38.4% | 38.7% | -0.3% | |
| Throw techs | 0.70 | 0.45 | +0.25 | |
| Drive Impact | 0.10 | 0.20 | -0.10 | |
| Drive Reversal | 0.10 | 0.20 | -0.10 | |
| Stuns landed | 0.10 | 0.03 | +0.07 | |
| Throw parries | 0.20 | 0.27 | -0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Punish Counters landed | 0.10 | 0.13 | -0.03 | |
| Drive Impact gauge | 1.5% | 1.5% | +0.0% | |
| Got Punish Countered | 0.10 | 0.09 | +0.01 | |
| Got thrown | 2.10 | 2.09 | +0.01 |
FROM STATS TO PRACTICE
Latest 100Match plan
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
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 thisRecreate 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
Make Drive Impact a deliberate choice
Drive Impact: profile 0.6 · 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 thisRecord 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 0.6 · reference 0.21
Compare decisions across wins and losses
Recent stored ranked sample: 12 wins in 28 games
Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.
Try thisWrite down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.
Supporting stats
- Recent stored ranked sample: 12 wins in 28 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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Separate a tendency from a one-off event
Recent stored ranked sample: 12 wins in 28 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse 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: 12 wins in 28 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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free