Juri
Updated 4 hours agoSteamSteamJapanJapanC100%

Zilch696

Super Fighting Robots!
Rank 36MR 1,722#21,956
Last 107–3+21Last 2014–6+53
Winrate
57%
43W · 33L · 76 stored
Ranked matches
76
selected mode
Wins
43
Ranked
Losses
33
Ranked
Peak MR
1,768
Juri

Ranked MR · Juri

76 local · 239 imported · 280 on chart · 147 battles stored

Latest game

VictoryRanked

Replay not requested
Juri
Zilch696 · Juri
Alex
Opponent · AlexRIKITO(JPN)

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
Zilch696’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
HabitZilch696LegendsDifference LessLegendsMore
SA20.0%19.5%-19.5%
SA349.3%34.8%+14.4%
CA14.5%8.9%+5.6%
Drive Rush (cancel)28.4%31.9%-3.5%
Drive Rush (parry)10.5%7.1%+3.3%
Drive Guard14.8%13.4%+1.3%
Time cornered8.009.20-1.20
Drive Arts18.4%19.4%-1.0%
Drive Impact gauge2.9%2.0%+0.8%
Drive Parry1.302.07-0.77
SA136.2%36.7%-0.5%
Perfect Parry0.200.64-0.44
Corner pressure11.8012.24-0.44
Got thrown1.902.13-0.23
Drive Reversal0.000.20-0.20
Drive Impact0.400.27+0.13
Punish Counters landed0.200.13+0.07
Throw parries0.200.26-0.06
Throw techs0.400.46-0.06
Throws2.602.65-0.05
Got stunned0.000.04-0.04
Stuns landed0.100.09+0.01
Got Punish Countered0.100.09+0.01
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 0.1 · 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 0.1 · reference 0.24
    • Drive Impact gauge: profile 1.2% · reference 1.8%
  2. Review defensive decisions

    Drive Parry: profile 1.2 · reference 2.01

    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 1.2 · reference 2.01
    • Perfect Parry: profile 0.2 · reference 0.64
    • Drive Reversal: profile 0 · reference 0.17
  3. Give each meter spend a purpose

    SA2: profile 0% · reference 15.8%

    Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.

    Try this

    Practice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.

    Supporting stats
    • SA2: profile 0% · reference 15.8%
    • SA3: profile 41.6% · reference 34.6%
    • CA: profile 12.4% · reference 9.9%

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. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0 · reference 0.11

    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 · reference 0.11
    • Got Punish Countered: profile 0 · reference 0.08
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.1 · 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 0.1 · reference 0.24
    • Drive Impact gauge: profile 1.2% · reference 1.8%
  3. Probe defense before committing

    Drive Parry: profile 1.2 · reference 2.01

    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 Parry: profile 1.2 · reference 2.01
    • Perfect Parry: profile 0.2 · reference 0.64
    • Drive Reversal: profile 0 · reference 0.17

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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