Dee Jay
Updated 10 hours agoSteamSteamChinaChinaClub · MANBOC100%

牙买加JmDee

Ever Improving
Rank 36MR 1,457#440,221
Last 104–6Last 204–6
Winrate
40%
4W · 6L · 10 stored
Ranked matches
10
selected mode
Wins
4
Ranked
Losses
6
Ranked
Peak MR
1,457
Dee Jay

Ranked MR · Dee Jay

0 local · 0 imported · 0 on chart · 249 battles stored

Not enough ranked MR points in this range yet.

Latest game

DefeatCustom Room

Replay not requested
Dee Jay
牙买加JmDee · Dee Jay
Ryu
Opponent · Ryu露露铰剪脚180度夹爆你个头

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
牙买加JmDee’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牙买加JmDeeLegendsDifference LessLegendsMore
CA30.6%8.7%+21.8%
SA119.4%36.2%-16.8%
Drive Rush (cancel)11.6%23.0%-11.3%
SA211.1%21.3%-10.2%
Corner pressure5.1012.23-7.13
SA338.9%33.8%+5.1%
Drive Rush (parry)12.9%8.9%+3.9%
Drive Arts26.8%24.7%+2.1%
Drive Guard16.1%15.1%+1.0%
Drive Parry0.801.76-0.96
Throws1.502.38-0.88
Perfect Parry0.000.57-0.57
Drive Reversal0.600.19+0.41
Drive Impact gauge2.1%1.8%+0.3%
Throw techs0.200.43-0.23
Throw parries0.100.25-0.15
Got Punish Countered0.200.09+0.11
Got thrown2.102.20-0.10
Time cornered9.209.11+0.09
Stuns landed0.000.07-0.07
Drive Impact0.200.24-0.04
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 0.12

    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 0.2 · reference 0.12
    • Punish Counters landed: profile 0 · reference 0.12
  2. Review defensive decisions

    Drive Reversal: profile 0.6 · reference 0.19

    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 Reversal: profile 0.6 · reference 0.19
    • Drive Parry: profile 0.3 · reference 1.54
    • Perfect Parry: profile 0 · reference 0.55
  3. Study a recurring matchup situation

    vs Char 253: 105 wins in 362 games

    Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.

    Try this

    Pick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.

    Supporting stats
    • vs Char 253: 105 wins in 362 games
    • vs Zangief: 13 wins in 55 games
    • vs Alex: 15 wins in 48 games

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 8, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Probe defense before committing

    Drive Parry: profile 0.3 · 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 0.3 · reference 1.54
    • Perfect Parry: profile 0 · reference 0.55
  2. 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
    • Punish Counters landed: profile 0 · reference 0.12
  3. Use matchup records as scouting leads

    vs Char 253: 105 wins in 362 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 Char 253: 105 wins in 362 games

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 8, 2026 · AI: nex-agi/nex-n2.5-pro:free

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