Juri
Updated 2 days agoSteamSteamOtherOtherClub · 88haterM100%

EVOJP#4霍普粉絲的粉絲

Let's Do This
Rank 36MR 1,815#7,880
Last 108–2+46Last 2013–7+50
Winrate
53%
183W · 163L · 346 stored
Ranked matches
346
selected mode
Wins
183
Ranked
Losses
163
Ranked
Peak MR
1,815
Juri

Ranked MR · Juri

349 local · 0 imported · 349 on chart · 535 battles stored

Latest game

DefeatCustom Room

Replay not requested
Juri
EVOJP#4霍普粉絲的粉絲 · Juri
Ken
Opponent · Kenneo_gg

Playstyle reference

Habits vs top 30 Juri

Benchmark refreshed Sep 12, 2026, 1:26 PM

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

Juri
EVOJP#4霍普粉絲的粉絲’s Juri benchmark

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

2BASSA 2286 · Maroto 2211 · JACK_DOLL 2205 · でんせつえすぴ~ 2172 · aiai 2171 · +25 others

Largest absolute differences first23 habits
HabitEVOJP#4霍普粉絲的粉絲LegendsDifference LessLegendsMore
SA325.9%34.8%-8.9%
SA227.7%19.5%+8.2%
Drive Guard10.1%13.4%-3.3%
Drive Rush (cancel)30.4%31.9%-1.5%
Drive Parry1.102.07-0.97
Corner pressure13.1012.24+0.86
SA137.5%36.7%+0.8%
Drive Arts20.2%19.4%+0.8%
Throws1.902.65-0.75
Perfect Parry0.200.64-0.44
Drive Impact gauge2.5%2.0%+0.4%
Time cornered8.909.20-0.30
Drive Reversal0.400.20+0.20
Throw techs0.300.46-0.16
Stuns landed0.200.09+0.11
Punish Counters landed0.200.13+0.07
Drive Rush (parry)7.1%7.1%-0.0%
Throw parries0.300.26+0.04
Got stunned0.000.04-0.04
Drive Impact0.300.27+0.03
Got thrown2.102.13-0.03
Got Punish Countered0.100.09+0.01
CA8.9%8.9%+0.0%
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.

Juri · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.6 · reference 0.24

    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 0.6 · reference 0.24
    • Drive Impact gauge: profile 3.9% · reference 1.8%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.3 · reference 0.11

    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 0.3 · reference 0.11
    • Got Punish Countered: profile 0.1 · reference 0.08
  3. Review close-range choices

    Throws: profile 1.8 · reference 2.58

    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 1.8 · reference 2.58
    • Got thrown: profile 2.4 · reference 2.07
    • Throw techs: profile 0.5 · reference 0.4

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.6 · reference 0.24

    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 0.6 · reference 0.24
    • Drive Impact gauge: profile 3.9% · reference 1.8%
  2. Probe defense before committing

    Drive Reversal: profile 0.4 · reference 0.17

    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 0.4 · reference 0.17
    • Perfect Parry: profile 0.2 · reference 0.64
    • Drive Parry: profile 1.3 · reference 2.01
  3. Test the close-range pattern

    Throws: profile 1.8 · reference 2.58

    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 1.8 · reference 2.58
    • Got thrown: profile 2.4 · reference 2.07
    • Throw techs: profile 0.5 · reference 0.4

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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