Dee Jay
Updated 1 day agoCrossPlatformCrossPlatformJapanJapanClub · NoClickNoLifeC73%

Soysauce

Check the Dreads
Rank 27LP 15,282
Last 1010–0Last 2017–3
Winrate
60%
28W · 19L · 47 stored
Ranked matches
47
selected mode
Wins
28
Ranked
Losses
19
Ranked
Peak LP
15,282
Dee Jay

Ranked LP · Dee Jay

League points over time for this character

Latest game

VictoryCustom Room

Replay not requested
Dee Jay
Soysauce · Dee Jay
Akuma
Opponent · Akumaひいらぐ

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
Soysauce’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
HabitSoysauceLegendsDifference LessLegendsMore
SA18.6%36.2%-27.6%
SA357.1%33.8%+23.4%
Drive Rush (cancel)0.0%23.0%-23.0%
Drive Impact gauge20.8%1.8%+19.0%
CA17.1%8.7%+8.4%
Corner pressure6.0012.23-6.23
Drive Guard9.1%15.1%-5.9%
SA217.1%21.3%-4.2%
Time cornered5.809.11-3.31
Drive Arts26.8%24.7%+2.1%
Drive Parry0.101.76-1.66
Drive Rush (parry)7.8%8.9%-1.1%
Drive Impact1.300.24+1.06
Got thrown3.102.20+0.90
Punish Counters landed0.700.13+0.57
Perfect Parry0.000.57-0.57
Got Punish Countered0.600.09+0.51
Throw parries0.000.25-0.25
Drive Reversal0.000.19-0.19
Throws2.202.38-0.18
Got stunned0.000.07-0.07
Throw techs0.500.43+0.07
Stuns landed0.100.07+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

    Drive Parry: profile 0.2 · 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 0.2 · reference 1.54
    • Perfect Parry: profile 0 · reference 0.55
    • Drive Reversal: profile 0 · reference 0.19
  2. Find the cause of punish events

    Got Punish Countered: profile 0.8 · 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 0.8 · reference 0.12
    • Punish Counters landed: profile 0.6 · reference 0.12
  3. Review close-range choices

    Got thrown: profile 3.6 · 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 3.6 · reference 2.12
    • Throws: profile 2.5 · reference 2.49
    • Throw techs: profile 0.8 · reference 0.44

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. Use matchup records as scouting leads

    vs Akuma: 24 wins in 76 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.

    Supporting stats
    • vs Akuma: 24 wins in 76 games
    • vs Alex: 24 wins in 59 games
  2. Probe defense before committing

    Drive Parry: profile 0.2 · reference 1.54

    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 Parry: profile 0.2 · reference 1.54
    • Perfect Parry: profile 0 · reference 0.55
    • Drive Reversal: profile 0 · reference 0.19
  3. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.8 · 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 0.8 · 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

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