Dee Jay
Updated 23 hours agoSteamSteamJapanJapanC100%

siratama

Conqueror: Beat Chaser
Rank 36MR 1,806#9,562
Last 109–1+59Last 2017–3+103
Winrate
65%
44W · 24L · 68 stored
Ranked matches
68
selected mode
Wins
44
Ranked
Losses
24
Ranked
Peak MR
1,806
Dee Jay

Ranked MR · Dee Jay

68 local · 157 imported · 210 on chart · 142 battles stored

Latest game

VictoryRanked

Available
Dee Jay
siratama · Dee Jay
Luke
Opponent · Luke脳震盪起こさす

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
siratama’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
HabitsiratamaLegendsDifference LessLegendsMore
SA360.0%33.8%+26.2%
SA28.0%21.3%-13.3%
SA124.0%36.2%-12.2%
Drive Rush (cancel)33.4%23.0%+10.4%
Drive Arts18.9%24.7%-5.8%
Drive Guard12.2%15.1%-2.9%
Corner pressure10.4012.23-1.83
Drive Rush (parry)7.6%8.9%-1.3%
Drive Impact gauge0.8%1.8%-1.0%
Throws3.102.38+0.72
CA8.0%8.7%-0.7%
Throw techs1.000.43+0.57
Perfect Parry0.200.57-0.37
Got thrown2.502.20+0.30
Time cornered8.909.11-0.21
Drive Impact0.100.24-0.14
Got Punish Countered0.200.09+0.11
Drive Reversal0.100.19-0.09
Stuns landed0.000.07-0.07
Throw parries0.300.25+0.05
Drive Parry1.801.76+0.04
Punish Counters landed0.100.13-0.03
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. Find the cause of punish events

    Got Punish Countered: profile 0.2 · reference 0.09

    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 0.2 · reference 0.09
    • Punish Counters landed: profile 0.1 · reference 0.13
  2. 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 0.8% · reference 1.8%
  3. Review close-range choices

    Throws: profile 3.1 · reference 2.38

    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
    • Throws: profile 3.1 · reference 2.38
    • Throw techs: profile 1 · reference 0.43
    • Got thrown: profile 2.5 · reference 2.2

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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · reference 0.09

    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 0.09
    • Punish Counters landed: profile 0.1 · reference 0.13
  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 0.8% · reference 1.8%
  3. Test the close-range pattern

    Throws: profile 3.1 · reference 2.38

    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 3.1 · reference 2.38
    • Throw techs: profile 1 · reference 0.43
    • Got thrown: profile 2.5 · reference 2.2

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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free

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