Kimberly
Updated 12 hours agoSteamSteamJapanJapanClub · NoblesseObligeC100%

フランケン・りょーこ

You've Got This, Juri!
Rank 36MR 1,637#54,544
Last 109–1+60Last 2013–7+45
Winrate
44%
20W · 25L · 45 stored
Ranked matches
45
selected mode
Wins
20
Ranked
Losses
25
Ranked
Peak MR
1,637
Kimberly

Ranked MR · Kimberly

44 local · 40 imported · 68 on chart · 385 battles stored

Latest game

VictoryCustom Room

Replay not requested
Kimberly
フランケン・りょーこ · Kimberly
Dee Jay
Opponent · Dee Jaymiya

Playstyle reference

Habits vs top 30 Kimberly

Benchmark refreshed Sep 14, 2026, 7:25 PM

Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details

Kimberly
フランケン・りょーこ’s Kimberly benchmark

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

みすとめーる@iMstMaiL 2260 · tako956402 2187 · シティ・ポップ増山 2172 · LUGABO 2164 · RX-* 2135 · +25 others

Largest absolute differences first23 habits
Habitフランケン・りょーこLegendsDifference LessLegendsMore
SA330.8%41.7%-10.9%
Drive Rush (cancel)35.5%28.7%+6.8%
SA140.8%34.1%+6.7%
SA220.8%15.5%+5.3%
Drive Arts19.5%23.3%-3.8%
Corner pressure18.3015.86+2.44
Drive Rush (parry)5.6%7.7%-2.1%
Drive Parry3.101.68+1.42
Time cornered7.608.87-1.27
CA7.5%8.7%-1.2%
Perfect Parry1.200.49+0.71
Drive Impact gauge2.8%2.1%+0.7%
Drive Guard14.2%13.5%+0.6%
Got thrown1.702.31-0.61
Throw parries0.600.35+0.25
Drive Reversal0.100.32-0.22
Punish Counters landed0.200.11+0.09
Stuns landed0.200.11+0.09
Drive Impact0.300.23+0.07
Throws3.603.66-0.06
Got stunned0.000.03-0.03
Throw techs0.500.52-0.02
Got Punish Countered0.100.12-0.02
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 0.2 · 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 2.6% · reference 2.2%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.2 · 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 0.2 · reference 0.13
    • Got Punish Countered: profile 0.1 · reference 0.1
  3. Trace how you lose or gain space

    Corner pressure: profile 19.8 · 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 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
    • Corner pressure: profile 19.8 · reference 15.07
    • Time cornered: profile 7.5 · 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 5, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.2 · 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 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
    • Punish Counters landed: profile 0.2 · reference 0.13
  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 2.6% · reference 2.2%
  3. Build pressure without overextending

    Corner pressure: profile 19.8 · 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 19.8 · reference 15.07
    • Time cornered: profile 7.5 · 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 5, 2026 · AI: dots-studio/dots-3-note-preview:free

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