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KI
GUKIUpdated 9 hours ago
Steam
JapanClub · KAKUSEIC100%
SteamJapanClub · KAKUSEIC100%みすとめーる@iMstMaiL
Third Eye
MR 2,255#9Last 106–4+29Last 2013–7+46
Winrate
64%
28W · 16L · 44 stored
Ranked matches
44
selected mode
Wins
28
Ranked
Losses
16
Ranked
Peak MR
2,287
Kimberly
Ranked MR · Kimberly
135 local · 2170 imported · 2293 on chart · 764 battles stored
Replay not requested
KIGUPlaystyle reference
Habits vs top 30 Kimberly
Benchmark refreshed Sep 3, 2026, 4:17 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
KILargest absolute differences first23 habits
| Habit | みすとめーる@iMstMaiL | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Arts | 32.5% | 22.3% | +10.2% | |
| Corner pressure | 20.60 | 15.07 | +5.53 | |
| Drive Rush (cancel) | 24.2% | 29.7% | -5.5% | |
| SA2 | 14.2% | 19.2% | -5.1% | |
| SA3 | 40.9% | 38.5% | +2.4% | |
| CA | 10.2% | 8.2% | +2.1% | |
| Time cornered | 7.50 | 8.89 | -1.39 | |
| Drive Rush (parry) | 6.2% | 7.5% | -1.4% | |
| Drive Guard | 11.7% | 12.9% | -1.1% | |
| Throws | 4.20 | 3.44 | +0.76 | |
| SA1 | 34.6% | 34.0% | +0.6% | |
| Drive Impact gauge | 1.7% | 2.2% | -0.5% | |
| Perfect Parry | 0.80 | 0.44 | +0.36 | |
| Got thrown | 1.80 | 2.14 | -0.34 | |
| Drive Reversal | 0.60 | 0.36 | +0.24 | |
| Throw techs | 0.20 | 0.38 | -0.18 | |
| Drive Impact | 0.20 | 0.27 | -0.07 | |
| Throw parries | 0.40 | 0.36 | +0.04 | |
| Stuns landed | 0.10 | 0.14 | -0.04 | |
| Drive Parry | 1.50 | 1.54 | -0.04 | |
| Got stunned | 0.00 | 0.03 | -0.03 | |
| Punish Counters landed | 0.10 | 0.13 | -0.03 | |
| Got Punish Countered | 0.10 | 0.10 | -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.
Kimberly · Latest 100
What to improve
Review defensive decisions
Drive Parry: profile 2.3 · reference 1.54
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 2.3 · reference 1.54
- Perfect Parry: profile 0.9 · reference 0.44
Trace how you lose or gain space
Corner pressure: profile 20.6 · reference 15.07
Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.
Try thisRecreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.
Supporting stats
- Corner pressure: profile 20.6 · reference 15.07
- Time cornered: profile 7.5 · reference 8.89
Give each meter spend a purpose
SA3: profile 45.9% · reference 38.5%
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
- SA3: profile 45.9% · reference 38.5%
- SA2: profile 26.2% · reference 19.2%
- SA1: profile 21.3% · reference 34%
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
Use matchup records as scouting leads
vs Dee Jay: 103 wins in 170 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 Dee Jay: 103 wins in 170 games
- vs Yasmine: 85 wins in 125 games
- vs M. Bison: 79 wins in 110 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free