Kimberly
Updated 2 hours agoSteamSteamJapanJapanClub · MitunariGunC100%

CccDzin

Sporty Style
Rank 36MR 1,507#228,461
Last 107–3+36Last 2012–8+36
Winrate
49%
68W · 70L · 138 stored
Ranked matches
138
selected mode
Wins
68
Ranked
Losses
70
Ranked
Peak MR
1,592
Kimberly

Ranked MR · Kimberly

138 local · 0 imported · 138 on chart · 138 battles stored

Latest game

VictoryRanked

Replay not requested
Kimberly
CccDzin · Kimberly
Alex
Opponent · Alexアレックス:ドゥームズデイ

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

Kimberly
CccDzin’s Kimberly benchmark

Compared with the average habits of the top 30 sampled Kimberly players.

みすとめーる@iMstMaiL 2203 · tako956402 2147 · シティ・ポップ増山 2143 · PipokunですSycomの 2112 · K.R.T 2079 · +25 others

Largest absolute differences first23 habits
HabitCccDzinLegendsDifference LessLegendsMore
SA25.3%19.2%-14.0%
SA351.3%38.5%+12.8%
Drive Rush (cancel)18.9%29.7%-10.8%
Drive Arts13.8%22.3%-8.5%
CA15.8%8.2%+7.6%
SA127.6%34.0%-6.4%
Drive Guard19.1%12.9%+6.3%
Drive Rush (parry)10.5%7.5%+2.9%
Throws6.203.44+2.76
Corner pressure16.7015.07+1.63
Drive Impact gauge3.5%2.2%+1.3%
Time cornered10.008.89+1.11
Drive Parry2.201.54+0.66
Got thrown2.802.14+0.66
Drive Reversal0.600.36+0.24
Throw parries0.200.36-0.16
Punish Counters landed0.200.13+0.07
Perfect Parry0.500.44+0.06
Stuns landed0.100.14-0.04
Got stunned0.000.03-0.03
Drive Impact0.300.27+0.03
Throw techs0.400.38+0.02
Got Punish Countered0.100.10-0.00
FROM STATS TO PRACTICE

Match plan

Latest 100

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

  1. 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 this

    Record 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 3.5% · reference 2.2%
  2. Review defensive decisions

    Drive Parry: profile 2.2 · 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 this

    Record 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 2.2 · reference 1.54
    • Perfect Parry: profile 0.5 · reference 0.44
  3. Review close-range choices

    Throws: profile 6.2 · reference 3.44

    Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.

    Try this

    Replay 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
    • Throws: profile 6.2 · reference 3.44
    • Throw techs: profile 0.4 · reference 0.38

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

  1. Test the close-range pattern

    Throws: profile 6.2 · reference 3.44

    Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

    Try this

    If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

    Supporting stats
    • Throws: profile 6.2 · reference 3.44
    • Got thrown: profile 2.8 · reference 2.14
  2. Probe defense before committing

    Drive Reversal: profile 0.6 · reference 0.36

    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 this

    Try 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 Reversal: profile 0.6 · reference 0.36
    • Drive Parry: profile 2.2 · reference 1.54
  3. Use matchup records as scouting leads

    vs Ryu: 66 wins in 132 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If 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: 66 wins in 132 games
    • vs Luke: 45 wins in 115 games
    • vs Akuma: 65 wins in 127 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: dots-studio/dots-3-note-preview:free

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