Dee Jay
Updated 6 days agoSteamSteamJapanJapanC100%

nekorosu

Let's Do This
Rank 35LP 23,801
Last 104–6Last 2010–10
Winrate
40%
33W · 49L · 82 stored
Ranked matches
82
selected mode
Wins
33
Ranked
Losses
49
Ranked
Peak LP
24,174
Dee Jay

Ranked LP · Dee Jay

League points over time for this character

Latest game

DefeatRanked

Replay not requested
Dee Jay
nekorosu · Dee Jay
Alex
Opponent · Alexこすいちのかくすらなきくどっと

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
nekorosu’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
HabitnekorosuLegendsDifference LessLegendsMore
SA10.0%36.2%-36.2%
Drive Rush (cancel)0.9%23.0%-22.0%
CA29.3%8.7%+20.5%
SA353.7%33.8%+19.9%
Drive Arts37.4%24.7%+12.7%
Drive Rush (parry)18.5%8.9%+9.6%
Drive Guard20.3%15.1%+5.2%
SA217.1%21.3%-4.3%
Time cornered7.409.11-1.71
Drive Parry0.301.76-1.46
Got thrown3.002.20+0.80
Perfect Parry0.000.57-0.57
Throws2.902.38+0.52
Drive Reversal0.000.19-0.19
Drive Impact gauge1.6%1.8%-0.1%
Corner pressure12.1012.23-0.13
Throw techs0.300.43-0.13
Got stunned0.000.07-0.07
Throw parries0.200.25-0.05
Drive Impact0.200.24-0.04
Punish Counters landed0.100.13-0.03
Stuns landed0.100.07+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 Parry: profile 0.3 · reference 1.54

    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 0.3 · reference 1.54
    • Perfect Parry: profile 0 · reference 0.55
    • Drive Reversal: profile 0 · reference 0.19
  2. Review close-range choices

    Got thrown: profile 3 · reference 2.12

    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
    • Got thrown: profile 3 · reference 2.12
    • Throw techs: profile 0.3 · reference 0.44
  3. Find the cause of punish events

    Got Punish Countered: profile 0.1 · reference 0.12

    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
    • Got Punish Countered: profile 0.1 · reference 0.12
    • Punish Counters landed: profile 0.1 · reference 0.12

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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Probe defense before committing

    Got thrown: profile 3 · reference 2.12

    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
    • Got thrown: profile 3 · reference 2.12
    • Throw techs: profile 0.3 · reference 0.44
  2. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.1 · 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 0.1 · reference 0.12
    • Punish Counters landed: profile 0.1 · reference 0.12
  3. Adapt to the visible gauge

    Drive Guard: profile 20.3% · reference 14.4%

    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 Guard: profile 20.3% · reference 14.4%

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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free

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