Latest game
DefeatRanked
A.
ALA.Updated 1 day ago
Steam
JapanClub · GomaeSF6C100%
SteamJapanClub · GomaeSF6C100%maruasu
Ever Improving
MR 1,339#583,613Last 104–6-16Last 209–11-16
Winrate
40%
29W · 43L · 72 stored
Ranked matches
72
selected mode
Wins
29
Ranked
Losses
43
Ranked
Peak MR
1,468
A.K.I.
Ranked MR · A.K.I.
72 local · 49 imported · 81 on chart · 107 battles stored
Replay not requested
A.ALPlaystyle reference
Habits vs top 30 A.K.I.
Benchmark refreshed Sep 12, 2026, 4:20 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
A.Largest absolute differences first23 habits
| Habit | maruasu | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 3.7% | 23.3% | -19.7% | |
| SA2 | 4.3% | 22.0% | -17.7% | |
| CA | 21.3% | 9.6% | +11.7% | |
| SA3 | 38.3% | 30.6% | +7.7% | |
| Drive Guard | 24.3% | 17.0% | +7.3% | |
| Drive Rush (parry) | 17.6% | 11.0% | +6.7% | |
| Corner pressure | 8.40 | 11.29 | -2.89 | |
| Drive Arts | 23.7% | 21.0% | +2.7% | |
| SA1 | 36.2% | 37.8% | -1.7% | |
| Time cornered | 8.60 | 9.83 | -1.23 | |
| Got thrown | 2.70 | 2.30 | +0.40 | |
| Drive Reversal | 0.00 | 0.40 | -0.40 | |
| Perfect Parry | 0.20 | 0.60 | -0.40 | |
| Drive Parry | 1.60 | 1.93 | -0.33 | |
| Throw techs | 0.20 | 0.52 | -0.32 | |
| Drive Impact | 0.10 | 0.24 | -0.14 | |
| Throw parries | 0.10 | 0.22 | -0.12 | |
| Got Punish Countered | 0.20 | 0.11 | +0.09 | |
| Stuns landed | 0.00 | 0.08 | -0.08 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Drive Impact gauge | 1.7% | 1.8% | -0.0% | |
| Throws | 2.30 | 2.34 | -0.04 | |
| Punish Counters landed | 0.10 | 0.12 | -0.02 |
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.
A.K.I. · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.2 · reference 0.11
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 0.11
Review close-range choices
Got thrown: profile 2.7 · reference 2.3
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
- Got thrown: profile 2.7 · reference 2.3
- Throw techs: profile 0.2 · reference 0.52
Compare decisions across wins and losses
Recent stored ranked sample: 26 wins in 65 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: 26 wins in 65 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 13, 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: 26 wins in 65 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: 26 wins in 65 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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free