Dee Jay
Updated 5 days agoSteamSteamJapanJapanC100%

Heyoriley

Let's Do This
Rank 36MR 1,838#5,790
Last 107–3+27Last 2015–5+68
Winrate
54%
70W · 59L · 129 stored
Ranked matches
129
selected mode
Wins
70
Ranked
Losses
59
Ranked
Peak MR
1,917
Dee Jay

Ranked MR · Dee Jay

129 local · 0 imported · 129 on chart · 129 battles stored

Latest game

VictoryRanked

Replay not requested
Dee Jay
Heyoriley · Dee Jay
Blanka
Opponent · Blanka星の子ゆきつー

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
Heyoriley’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
HabitHeyorileyLegendsDifference LessLegendsMore
Drive Rush (cancel)12.6%23.0%-10.3%
SA126.2%36.2%-10.0%
Drive Arts34.7%24.7%+10.0%
CA16.9%8.7%+8.2%
SA226.2%21.3%+4.8%
SA330.8%33.8%-3.0%
Drive Rush (parry)10.8%8.9%+1.9%
Corner pressure13.7012.23+1.47
Drive Guard16.1%15.1%+1.0%
Drive Impact gauge2.7%1.8%+0.9%
Got thrown1.502.20-0.70
Time cornered8.509.11-0.61
Throw techs0.000.43-0.43
Perfect Parry0.200.57-0.37
Drive Parry2.101.76+0.34
Throws2.602.38+0.22
Got Punish Countered0.300.09+0.21
Throw parries0.100.25-0.15
Drive Reversal0.100.19-0.09
Drive Impact0.200.24-0.04
Punish Counters landed0.100.13-0.03
Stuns landed0.100.07+0.03
Got stunned0.100.07+0.03
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

    Perfect Parry: profile 0.2 · reference 0.55

    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
    • Perfect Parry: profile 0.2 · reference 0.55
    • Drive Parry: profile 1.5 · reference 1.54
    • Drive Reversal: profile 0.1 · reference 0.19
  2. Give each meter spend a purpose

    Drive Rush (cancel): profile 12.1% · reference 23.9%

    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
    • Drive Rush (cancel): profile 12.1% · reference 23.9%
    • Drive Arts: profile 34.5% · reference 25.4%
    • SA1: profile 29.7% · reference 35.1%
  3. Trace how you lose or gain space

    Corner pressure: profile 13 · reference 12.84

    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 13 · reference 12.84
    • Time cornered: profile 9.7 · reference 8.3

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

    Got Punish Countered: profile 0.2 · reference 0.12

    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 0.2 · reference 0.12
  2. Test the Drive Impact tendency

    Drive Impact gauge: profile 2.7% · reference 1.8%

    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 gauge: profile 2.7% · reference 1.8%
    • Drive Impact: profile 0.2 · reference 0.22
  3. Test the close-range pattern

    Throw techs: profile 0 · 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 · reference 0.44
    • Got thrown: profile 1.6 · 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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