Dee Jay
Updated 4 days agoSteamSteamJapanJapanClub · DJMaximumClubC100%

フィリッポ髭ザーギ

Slowly but Surely
Rank 36MR 1,732#18,487
Last 102–1+11Last 202–1+11
Winrate
67%
2W · 1L · 3 stored
Ranked matches
3
selected mode
Wins
2
Ranked
Losses
1
Ranked
Peak MR
1,732
Dee Jay

Ranked MR · Dee Jay

3 local · 0 imported · 3 on chart · 278 battles stored

Latest game

DefeatCasual

Replay not requested
Dee Jay
フィリッポ髭ザーギ · Dee Jay
Ryu
Opponent · RyuKoyasu@JK

Playstyle reference

Habits vs top 30 Dee Jay

Benchmark refreshed Sep 11, 2026, 10:15 PM

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

Dee Jay
フィリッポ髭ザーギ’s Dee Jay benchmark

Compared with the average habits of the top 30 sampled Dee Jay players.

tomorock21 2244 · @Sycom|zabutonn 2228 · Naza 2221 · ネコ派です_ 2214 · Asuka 2162 · +25 others

Largest absolute differences first23 habits
Habitフィリッポ髭ザーギLegendsDifference LessLegendsMore
SA363.3%33.8%+29.6%
SA115.0%36.2%-21.2%
SA213.3%21.3%-8.0%
Drive Rush (cancel)29.8%23.0%+6.8%
Drive Guard9.5%15.1%-5.5%
Drive Arts29.1%24.7%+4.4%
Drive Rush (parry)4.8%8.9%-4.1%
Corner pressure14.6012.23+2.37
Time cornered7.309.11-1.81
Drive Impact gauge1.3%1.8%-0.5%
CA8.3%8.7%-0.4%
Throws2.002.38-0.38
Drive Parry1.401.76-0.36
Throw techs0.100.43-0.33
Perfect Parry0.300.57-0.27
Drive Reversal0.400.19+0.21
Got thrown2.002.20-0.20
Throw parries0.400.25+0.15
Drive Impact0.100.24-0.14
Punish Counters landed0.100.13-0.03
Stuns landed0.100.07+0.03
Got stunned0.100.07+0.03
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.

Dee Jay · Latest 100

What to improve

  1. Review defensive decisions

    Drive Reversal: profile 0.7 · reference 0.19

    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 Reversal: profile 0.7 · reference 0.19
    • Perfect Parry: profile 0.3 · reference 0.55
  2. Give each meter spend a purpose

    SA3: profile 56.9% · reference 33.7%

    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
    • SA3: profile 56.9% · reference 33.7%
    • SA1: profile 21.6% · reference 35.1%
    • SA2: profile 7.8% · reference 22%
  3. Review close-range choices

    Throw techs: profile 0.1 · reference 0.44

    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
    • Throw techs: profile 0.1 · reference 0.44
    • Throws: profile 1.6 · reference 2.49
    • Got thrown: profile 2 · reference 2.12

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. Probe defense before committing

    Drive Reversal: profile 0.7 · reference 0.19

    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 0.7 · reference 0.19
    • Perfect Parry: profile 0.3 · reference 0.55
  2. Adapt to the visible gauge

    SA3: profile 56.9% · reference 33.7%

    Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.

    Try this

    After a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.

    Supporting stats
    • SA3: profile 56.9% · reference 33.7%
    • SA1: profile 21.6% · reference 35.1%
    • SA2: profile 7.8% · reference 22%
  3. Test the close-range pattern

    Throw techs: profile 0.1 · reference 0.44

    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
    • Throw techs: profile 0.1 · reference 0.44
    • Throws: profile 1.6 · reference 2.49
    • Got thrown: profile 2 · reference 2.12

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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