Latest game
VictoryRanked
AK
TEAKUpdated 6 days ago
Steam
JapanC100%
SteamJapanC100%KARNOV
Street Fighter I Fan
MR 1,544#141,472Last 107–3+32Last 2014–6+62
Winrate
49%
42W · 43L · 85 stored
Ranked matches
85
selected mode
Wins
42
Ranked
Losses
43
Ranked
Peak MR
1,544
Akuma
Ranked MR · Akuma
85 local · 0 imported · 85 on chart · 85 battles stored
Replay not requested
AKTEPlaystyle 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 | KARNOV | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 52.6% | 22.8% | +29.9% | |
| SA3 | 14.9% | 38.7% | -23.8% | |
| Drive Rush (cancel) | 43.1% | 32.7% | +10.4% | |
| Drive Guard | 5.7% | 13.1% | -7.4% | |
| Drive Rush (parry) | 3.3% | 7.4% | -4.2% | |
| CA | 6.1% | 9.9% | -3.8% | |
| Drive Impact gauge | 5.1% | 1.5% | +3.6% | |
| SA1 | 26.3% | 28.6% | -2.3% | |
| Corner pressure | 13.80 | 11.47 | +2.33 | |
| Drive Arts | 21.5% | 19.2% | +2.3% | |
| Time cornered | 6.80 | 8.55 | -1.75 | |
| Drive Parry | 0.70 | 1.65 | -0.95 | |
| Perfect Parry | 0.10 | 0.77 | -0.67 | |
| Throws | 2.30 | 2.74 | -0.44 | |
| Drive Impact | 0.50 | 0.20 | +0.30 | |
| Stuns landed | 0.20 | 0.03 | +0.17 | |
| Throw techs | 0.30 | 0.45 | -0.15 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Throw parries | 0.20 | 0.27 | -0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Got thrown | 2.10 | 2.09 | +0.01 | |
| Drive Reversal | 0.20 | 0.20 | +0.00 |
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
Punish Counters landed: profile 0.2 · 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 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
- Punish Counters landed: profile 0.2 · reference 0.13
- Got Punish Countered: profile 0.2 · reference 0.08
Review close-range choices
Throws: profile 2 · reference 2.66
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay 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
- Throws: profile 2 · reference 2.66
- Throw techs: profile 0.3 · reference 0.38
- Got thrown: profile 2 · reference 2.04
Give each meter spend a purpose
SA1: profile 43.9% · 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 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
- SA1: profile 43.9% · reference 29.6%
- SA2: profile 34.7% · reference 24.2%
- SA3: profile 17.3% · reference 35.7%
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Test the Drive Impact tendency
Drive Impact: profile 0.4 · reference 0.21
Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.
Try thisRevisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.
Supporting stats
- Drive Impact: profile 0.4 · reference 0.21
- Drive Impact gauge: profile 4.4% · reference 1.6%
Probe defense before committing
Drive Parry: profile 0.6 · reference 1.8
Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.
Try thisTry your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.
Supporting stats
- Drive Parry: profile 0.6 · reference 1.8
- Perfect Parry: profile 0.1 · reference 0.85
- Drive Reversal: profile 0.2 · reference 0.22
Build pressure without overextending
Corner pressure: profile 12.9 · reference 12.38
Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.
Try thisTest one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.
Supporting stats
- Corner pressure: profile 12.9 · reference 12.38
- Time cornered: profile 7 · reference 8.05
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free