Kimberly
Updated 14 hours agoCrossPlatformCrossPlatformJapanJapanC100%

.ちくわ

We're Always Connected
Rank 36MR 2,003#1,297
Last 105–5+3Last 2011–9+13
Winrate
50%
67W · 68L · 135 stored
Ranked matches
135
selected mode
Wins
67
Ranked
Losses
68
Ranked
Peak MR
2,004
Kimberly

Ranked MR · Kimberly

135 local · 0 imported · 135 on chart · 179 battles stored

Latest game

VictoryCustom Room

Replay not requested
Manon
.ちくわ · Manon
Ryu
Opponent · RyuABRA_HIMOVIC

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
.ちくわ’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
Habit.ちくわLegendsDifference LessLegendsMore
SA345.7%38.5%+7.2%
SA212.8%19.2%-6.5%
SA128.7%34.0%-5.3%
CA12.8%8.2%+4.6%
Drive Arts25.8%22.3%+3.5%
Drive Guard9.5%12.9%-3.4%
Drive Rush (parry)5.0%7.5%-2.5%
Corner pressure12.6015.07-2.47
Time cornered11.208.89+2.31
Got thrown2.802.14+0.66
Drive Impact gauge2.8%2.2%+0.6%
Throw techs0.700.38+0.32
Perfect Parry0.200.44-0.24
Throws3.203.44-0.24
Drive Parry1.301.54-0.24
Drive Reversal0.500.36+0.14
Drive Rush (cancel)29.6%29.7%-0.1%
Stuns landed0.200.14+0.06
Throw parries0.400.36+0.04
Got stunned0.000.03-0.03
Drive Impact0.300.27+0.03
Punish Counters landed0.100.13-0.03
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. Review defensive decisions

    Perfect Parry: profile 0.2 · reference 0.44

    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
    • Perfect Parry: profile 0.2 · reference 0.44
    • Drive Parry: profile 1.1 · reference 1.54
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.2 · 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 0.2 · reference 0.27
    • Drive Impact gauge: profile 2.3% · reference 2.2%
  3. Find the cause of punish events

    Punish Counters landed: profile 0.1 · reference 0.13

    Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.

    Try this

    Recreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.

    Supporting stats
    • Punish Counters landed: profile 0.1 · reference 0.13
    • Got Punish Countered: profile 0.1 · reference 0.1

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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Probe defense before committing

    Drive Reversal: profile 0.8 · 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 0.8 · reference 0.36
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.2 · reference 0.27

    Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.

    Try this

    Revisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.

    Supporting stats
    • Drive Impact: profile 0.2 · reference 0.27
    • Drive Impact gauge: profile 2.3% · reference 2.2%
  3. Build pressure without overextending

    Corner pressure: profile 16.9 · 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 this

    Test 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 16.9 · reference 15.07
    • Time cornered: profile 10.7 · 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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

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