Latest game
VictoryRanked
AK
DEAKUpdated 11 hours ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%たくあん載せティラミス
Let's Do This
MR 1,583#109,063Last 105–5-5Last 2011–9+9
Winrate
50%
53W · 52L · 105 stored
Ranked matches
105
selected mode
Wins
53
Ranked
Losses
52
Ranked
Peak MR
1,658
Akuma
Ranked MR · Akuma
105 local · 0 imported · 105 on chart · 105 battles stored
Replay not requested
AKDEPlaystyle 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 | たくあん載せティラミス | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 11.8% | 22.8% | -11.0% | |
| CA | 17.6% | 9.9% | +7.7% | |
| SA3 | 42.6% | 38.7% | +4.0% | |
| Drive Impact gauge | 2.9% | 1.5% | +1.4% | |
| Drive Rush (parry) | 8.7% | 7.4% | +1.3% | |
| Drive Rush (cancel) | 33.9% | 32.7% | +1.2% | |
| Drive Arts | 18.2% | 19.2% | -1.0% | |
| Time cornered | 7.60 | 8.55 | -0.95 | |
| SA1 | 27.9% | 28.6% | -0.7% | |
| Drive Parry | 1.00 | 1.65 | -0.65 | |
| Perfect Parry | 0.50 | 0.77 | -0.27 | |
| Throw techs | 0.20 | 0.45 | -0.25 | |
| Throws | 2.50 | 2.74 | -0.24 | |
| Got thrown | 1.90 | 2.09 | -0.19 | |
| Corner pressure | 11.30 | 11.47 | -0.17 | |
| Throw parries | 0.40 | 0.27 | +0.13 | |
| Drive Guard | 13.2% | 13.1% | +0.1% | |
| Drive Reversal | 0.10 | 0.20 | -0.10 | |
| Drive Impact | 0.30 | 0.20 | +0.10 | |
| Got Punish Countered | 0.00 | 0.09 | -0.09 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Stuns landed | 0.10 | 0.03 | +0.07 | |
| Got stunned | 0.00 | 0.04 | -0.04 |
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
Review defensive decisions
Drive Parry: profile 0.8 · reference 1.8
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
- Drive Parry: profile 0.8 · reference 1.8
- Perfect Parry: profile 0.4 · reference 0.85
- Drive Reversal: profile 0.1 · reference 0.22
Find the cause of punish events
Got Punish Countered: profile 0.1 · 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 0.1 · reference 0.08
Compare decisions across wins and losses
Recent stored ranked sample: 47 wins in 91 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: 47 wins in 91 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
How to beat this player
Use matchup records as scouting leads
vs Ryu: 38 wins in 69 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 Ryu: 38 wins in 69 games
- vs Zangief: 11 wins in 25 games
- vs C. Viper: 3 wins in 17 games
Separate a tendency from a one-off event
Recent stored ranked sample: 47 wins in 91 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: 47 wins in 91 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.1 · reference 0.08
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 thisTest 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 0.08
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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free