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DefeatCustom Room
AK
JUAKUpdated 1 week ago
Steam
JapanC100%
SteamJapanC100%Amanekun
Let's Do This
Last 108–2+46Last 2012–8+37
Winrate
69%
43W · 19L · 62 stored
Ranked matches
62
selected mode
Wins
43
Ranked
Losses
19
Ranked
Peak MR
1,539
Akuma
Ranked MR · Akuma
62 local · 0 imported · 62 on chart · 66 battles stored
Replay not requested
AKJUPlaystyle 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 | Amanekun | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 7.1% | 28.6% | -21.5% | |
| SA3 | 53.6% | 38.7% | +14.9% | |
| Drive Rush (cancel) | 46.9% | 32.7% | +14.2% | |
| Drive Guard | 3.7% | 13.1% | -9.5% | |
| CA | 17.9% | 9.9% | +7.9% | |
| Drive Rush (parry) | 0.2% | 7.4% | -7.2% | |
| Drive Arts | 17.1% | 19.2% | -2.2% | |
| SA2 | 21.4% | 22.8% | -1.3% | |
| Corner pressure | 10.20 | 11.47 | -1.27 | |
| Drive Parry | 0.90 | 1.65 | -0.75 | |
| Perfect Parry | 0.20 | 0.77 | -0.57 | |
| Throws | 3.20 | 2.74 | +0.46 | |
| Time cornered | 8.10 | 8.55 | -0.45 | |
| Drive Impact gauge | 1.3% | 1.5% | -0.2% | |
| Drive Reversal | 0.00 | 0.20 | -0.20 | |
| Throw parries | 0.10 | 0.27 | -0.17 | |
| Got thrown | 2.00 | 2.09 | -0.09 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Throw techs | 0.40 | 0.45 | -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 | |
| Drive Impact | 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
Review defensive decisions
Drive Parry: profile 0.9 · 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 0.9 · reference 1.8
- Perfect Parry: profile 0.2 · reference 0.85
- Drive Reversal: profile 0 · reference 0.22
Give each meter spend a purpose
SA1: profile 7.1% · 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 7.1% · reference 29.6%
- SA3: profile 53.6% · reference 35.7%
- CA: profile 17.9% · reference 10.5%
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 0.1 · 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
Use matchup records as scouting leads
vs Ryu: 32 wins in 52 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: 32 wins in 52 games
- vs Luke: 27 wins in 51 games
- vs Terry: 6 wins in 17 games
Separate a tendency from a one-off event
Recent stored ranked sample: 43 wins in 62 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: 43 wins in 62 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