Latest game
VictoryRanked
AK
LUAKUpdated 2 days ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%aLata
Soba & Japanese Yokan Fan
MR 1,532#164,946Last 108–2+44Last 2014–6+62
Winrate
50%
100W · 101L · 201 stored
Ranked matches
201
selected mode
Wins
100
Ranked
Losses
101
Ranked
Peak MR
1,651
Akuma
Ranked MR · Akuma
201 local · 0 imported · 201 on chart · 201 battles stored
Replay not requested
AKLUPlaystyle 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 | aLata | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 11.5% | 28.6% | -17.1% | |
| SA3 | 53.8% | 38.7% | +15.2% | |
| CA | 17.3% | 9.9% | +7.4% | |
| Drive Rush (cancel) | 25.8% | 32.7% | -6.9% | |
| SA2 | 17.3% | 22.8% | -5.5% | |
| Drive Rush (parry) | 9.3% | 7.4% | +1.8% | |
| Drive Guard | 14.7% | 13.1% | +1.5% | |
| Drive Arts | 20.4% | 19.2% | +1.2% | |
| Time cornered | 9.70 | 8.55 | +1.15 | |
| Throws | 1.60 | 2.74 | -1.14 | |
| Drive Impact gauge | 2.3% | 1.5% | +0.8% | |
| Corner pressure | 11.00 | 11.47 | -0.47 | |
| Perfect Parry | 0.40 | 0.77 | -0.37 | |
| Throw techs | 0.30 | 0.45 | -0.15 | |
| Got thrown | 2.20 | 2.09 | +0.11 | |
| Drive Reversal | 0.30 | 0.20 | +0.10 | |
| Drive Impact | 0.30 | 0.20 | +0.10 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Throw parries | 0.20 | 0.27 | -0.07 | |
| Drive Parry | 1.70 | 1.65 | +0.05 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Stuns landed | 0.00 | 0.03 | -0.03 | |
| Got Punish Countered | 0.10 | 0.09 | +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 0.08
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 0.08
- Punish Counters landed: profile 0.2 · reference 0.13
Give each meter spend a purpose
SA3: profile 66.7% · reference 35.7%
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 thisPractice 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
- SA3: profile 66.7% · reference 35.7%
- SA1: profile 11.9% · reference 29.6%
- SA2: profile 7.1% · reference 24.2%
Review defensive decisions
Perfect Parry: profile 0.3 · reference 0.85
Compare five defensive situations: what did the opponent do, what did you choose, and what happened? Low parry or throw-tech counts alone do not establish a weakness.
Try thisRecord two different options from one troublesome situation. Practice identifying them and choosing a response, then review whether the same decision improves in your next set.
Supporting stats
- Perfect Parry: profile 0.3 · reference 0.85
- Drive Parry: profile 1.9 · reference 1.8
- Drive Reversal: profile 0.2 · reference 0.22
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: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Yasmine: 58 wins in 110 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf 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 Yasmine: 58 wins in 110 games
- vs Ryu: 60 wins in 108 games
- vs Luke: 38 wins in 106 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: dots-studio/dots-3-note-preview:free