Latest game
DefeatCustom Room
KI
GUKIUpdated 1 month ago
CrossPlatform
United StatesClub · AyaneKitsuneCCC100%
CrossPlatformUnited StatesClub · AyaneKitsuneCCC100%EmpathicHarmony
Sporty Style
MR 1,621#24,465Last 106–4+9Last 2014–6+53
Winrate
49%
20W · 21L · 41 stored
Ranked matches
41
selected mode
Wins
20
Ranked
Losses
21
Ranked
Peak MR
1,655
Kimberly
Ranked MR · Kimberly
40 local · 0 imported · 40 on chart · 49 battles stored
Replay not requested
KIGUPlaystyle reference
Habits vs top 30 Kimberly
Benchmark refreshed Sep 14, 2026, 7:25 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
KILargest absolute differences first23 habits
| Habit | EmpathicHarmony | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Guard | 8.7% | 13.5% | -4.8% | |
| SA1 | 29.4% | 34.1% | -4.7% | |
| Drive Arts | 27.6% | 23.3% | +4.3% | |
| SA3 | 46.1% | 41.7% | +4.3% | |
| Corner pressure | 11.80 | 15.86 | -4.06 | |
| Drive Rush (parry) | 4.2% | 7.7% | -3.5% | |
| Time cornered | 11.20 | 8.87 | +2.33 | |
| Drive Rush (cancel) | 26.9% | 28.7% | -1.8% | |
| Drive Impact gauge | 3.6% | 2.1% | +1.5% | |
| SA2 | 16.7% | 15.5% | +1.2% | |
| CA | 7.8% | 8.7% | -0.8% | |
| Got thrown | 2.70 | 2.31 | +0.39 | |
| Drive Reversal | 0.70 | 0.32 | +0.38 | |
| Drive Parry | 1.40 | 1.68 | -0.28 | |
| Throws | 3.40 | 3.66 | -0.26 | |
| Perfect Parry | 0.30 | 0.49 | -0.19 | |
| Throw parries | 0.20 | 0.35 | -0.15 | |
| Throw techs | 0.40 | 0.52 | -0.12 | |
| Stuns landed | 0.00 | 0.11 | -0.11 | |
| Punish Counters landed | 0.20 | 0.11 | +0.09 | |
| Got Punish Countered | 0.20 | 0.12 | +0.08 | |
| Drive Impact | 0.30 | 0.23 | +0.07 | |
| Got stunned | 0.10 | 0.03 | +0.07 |
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.