Kimberly
Updated 1 hour agoSteamSteamJapanJapanClub · KimberlyFansC100%

ふーーー

GG
Rank 36MR 1,769#15,251
Last 105–50Last 208–12-31
Winrate
53%
208W · 181L · 389 stored
Ranked matches
389
selected mode
Wins
208
Ranked
Losses
181
Ranked
Peak MR
1,845
Kimberly

Ranked MR · Kimberly

389 local · 0 imported · 389 on chart · 402 battles stored

Latest game

VictoryRanked

Replay not requested
Kimberly
ふーーー · Kimberly
Alex
Opponent · AlexkentalouYouTube

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
ふーーー’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ふーーーLegendsDifference LessLegendsMore
SA376.9%38.5%+38.4%
SA115.4%34.0%-18.7%
SA25.5%19.2%-13.7%
CA2.2%8.2%-6.0%
Drive Rush (cancel)24.6%29.7%-5.1%
Drive Arts24.8%22.3%+2.5%
Drive Guard10.6%12.9%-2.3%
Drive Impact gauge4.3%2.2%+2.1%
Time cornered11.008.89+2.11
Got thrown3.202.14+1.06
Drive Rush (parry)6.6%7.5%-1.0%
Drive Parry1.101.54-0.44
Drive Reversal0.000.36-0.36
Corner pressure15.4015.07+0.33
Perfect Parry0.200.44-0.24
Throw techs0.300.38-0.08
Got stunned0.100.03+0.07
Stuns landed0.200.14+0.06
Throws3.503.44+0.06
Throw parries0.300.36-0.06
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 close-range choices

    Got thrown: profile 3.2 · reference 2.14

    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
    • Got thrown: profile 3.2 · reference 2.14
    • Throws: profile 3.5 · reference 3.44
    • Throw techs: profile 0.3 · reference 0.38
  2. Find the cause of punish events

    Got Punish Countered: profile 0.1 · reference 0.1

    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
    • Got Punish Countered: profile 0.1 · reference 0.1
    • Punish Counters landed: profile 0.1 · reference 0.13
  3. Trace how you lose or gain space

    Time cornered: profile 11 · reference 8.89

    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 this

    Recreate 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
    • Time cornered: profile 11 · reference 8.89
    • Corner pressure: profile 15.4 · reference 15.07

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 14, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Probe defense before committing

    Got thrown: profile 3.2 · reference 2.14

    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
    • Got thrown: profile 3.2 · reference 2.14
    • Throw techs: profile 0.3 · reference 0.38
  2. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.1 · reference 0.1

    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 this

    Test one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.

    Supporting stats
    • Got Punish Countered: profile 0.1 · reference 0.1
    • Punish Counters landed: profile 0.1 · reference 0.13
  3. Build pressure without overextending

    Time cornered: profile 11 · reference 8.89

    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
    • Time cornered: profile 11 · reference 8.89
    • Corner pressure: profile 15.4 · reference 15.07

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 14, 2026 · AI: nex-agi/nex-n2.5-pro:free

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