Dee Jay
Updated 6 days agoSteamSteamJapanJapanClub · REJECTC100%

大天使コナエル

REJECT FIGHT NIGHT
Rank 36MR 1,656#42,235
Last 105–5+5Last 2011–9+19
Winrate
53%
32W · 28L · 60 stored
Ranked matches
60
selected mode
Wins
32
Ranked
Losses
28
Ranked
Peak MR
1,668
Dee Jay

Ranked MR · Dee Jay

60 local · 0 imported · 60 on chart · 82 battles stored

Latest game

VictoryRanked

Replay not requested
Dee Jay
大天使コナエル · Dee Jay
Ken
Opponent · Ken御門てん。

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
大天使コナエル’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大天使コナエルLegendsDifference LessLegendsMore
CA27.8%8.7%+19.1%
SA119.4%36.2%-16.8%
SA28.3%21.3%-13.0%
SA344.4%33.8%+10.7%
Drive Arts17.8%24.7%-6.9%
Drive Rush (cancel)17.3%23.0%-5.7%
Corner pressure9.7012.23-2.53
Drive Rush (parry)11.2%8.9%+2.3%
Throws3.502.38+1.12
Drive Impact gauge2.7%1.8%+0.9%
Drive Parry1.201.76-0.56
Perfect Parry0.200.57-0.37
Drive Guard15.4%15.1%+0.3%
Throw techs0.700.43+0.27
Time cornered9.309.11+0.19
Throw parries0.400.25+0.15
Drive Impact0.100.24-0.14
Got thrown2.102.20-0.10
Drive Reversal0.100.19-0.09
Stuns landed0.000.07-0.07
Got stunned0.000.07-0.07
Punish Counters landed0.100.13-0.03
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. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.1 · reference 0.22

    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 0.22
    • Drive Impact gauge: profile 2.7% · reference 1.8%
  2. 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 1.2 · reference 1.54
    • Drive Reversal: profile 0.1 · reference 0.19
  3. Give each meter spend a purpose

    CA: profile 27.8% · reference 9.2%

    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
    • CA: profile 27.8% · reference 9.2%
    • SA3: profile 44.4% · reference 33.7%
    • SA2: profile 8.3% · reference 22%

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 9, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the close-range pattern

    Throws: profile 3.5 · reference 2.49

    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 3.5 · reference 2.49
    • Got thrown: profile 2.1 · reference 2.12
    • Throw techs: profile 0.7 · reference 0.44
  2. Adapt to the visible gauge

    Drive Arts: profile 17.8% · reference 25.4%

    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
    • Drive Arts: profile 17.8% · reference 25.4%
  3. Build pressure without overextending

    Corner pressure: profile 9.7 · reference 12.84

    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 9.7 · reference 12.84
    • Time cornered: profile 9.3 · 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 9, 2026 · AI: dots-studio/dots-3-note-preview:free

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