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VictoryRanked
IN
C.
KIUpdated 8 hours ago
Steam
OtherClub · KISHIDABEYAC100%
SteamOtherClub · KISHIDABEYAC100%カタコッタ
Let's Do This
MR 1,524#183,370Last 107–3Last 2014–6
Winrate
58%
67W · 49L · 116 stored
Ranked matches
116
selected mode
Wins
67
Ranked
Losses
49
Ranked
Peak MR
1,617
Kimberly
Ranked MR · Kimberly
50 local · 41 imported · 67 on chart · 116 battles stored
Replay not requested
INC.Playstyle 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 | カタコッタ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 9.0% | 34.0% | -25.1% | |
| SA3 | 62.8% | 38.5% | +24.3% | |
| Drive Rush (cancel) | 43.7% | 29.7% | +14.0% | |
| CA | 20.5% | 8.2% | +12.3% | |
| SA2 | 7.7% | 19.2% | -11.5% | |
| Drive Arts | 15.1% | 22.3% | -7.2% | |
| Corner pressure | 9.20 | 15.07 | -5.87 | |
| Drive Rush (parry) | 5.0% | 7.5% | -2.6% | |
| Throws | 1.60 | 3.44 | -1.84 | |
| Drive Impact gauge | 1.5% | 2.2% | -0.7% | |
| Drive Parry | 2.20 | 1.54 | +0.66 | |
| Perfect Parry | 1.00 | 0.44 | +0.56 | |
| Drive Guard | 12.4% | 12.9% | -0.5% | |
| Throw parries | 0.10 | 0.36 | -0.26 | |
| Time cornered | 9.10 | 8.89 | +0.21 | |
| Throw techs | 0.20 | 0.38 | -0.18 | |
| Drive Reversal | 0.20 | 0.36 | -0.16 | |
| Got thrown | 2.30 | 2.14 | +0.16 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Got stunned | 0.10 | 0.03 | +0.07 | |
| Drive Impact | 0.20 | 0.27 | -0.07 | |
| Stuns landed | 0.10 | 0.14 | -0.04 | |
| 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 close-range choices
Throw techs: profile 0.1 · reference 0.38
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
- Throw techs: profile 0.1 · reference 0.38
- Throws: profile 2 · reference 3.44
- Got thrown: profile 2.4 · reference 2.14
Give each meter spend a purpose
SA1: profile 19.8% · reference 34%
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 19.8% · reference 34%
- SA2: profile 7.9% · reference 19.2%
- SA3: profile 61.4% · reference 38.5%
Make Drive Impact a deliberate choice
Drive Impact: profile 0.3 · reference 0.27
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.
Supporting stats
- Drive Impact: profile 0.3 · reference 0.27
- Drive Impact gauge: profile 2.2% · reference 2.2%
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: dots-studio/dots-3-note-preview:free
How to beat this player
Look for a repeatable punish opportunity
Punish Counters landed: profile 0.3 · reference 0.13
Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.
Try thisTest one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.
Supporting stats
- Punish Counters landed: profile 0.3 · reference 0.13
Probe defense before committing
Drive Parry: profile 2 · reference 1.54
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 2 · reference 1.54
- Perfect Parry: profile 0.5 · reference 0.44
Build pressure without overextending
Corner pressure: profile 12.9 · reference 15.07
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 15.07
- Time cornered: profile 9 · reference 8.89
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: dots-studio/dots-3-note-preview:free