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MADEUpdated 4 hours ago
Steam
JapanClub · DJMaximumClubC100%
SteamJapanClub · DJMaximumClubC100%ChickenNamba
MAXIMUUUUUM!
MR 1,544#150,770Last 109–1+64Last 2017–3+106
Winrate
64%
43W · 24L · 67 stored
Ranked matches
67
selected mode
Wins
43
Ranked
Losses
24
Ranked
Peak MR
1,544
Dee Jay
Ranked MR · Dee Jay
67 local · 0 imported · 67 on chart · 67 battles stored
Replay not requested
DEMAPlaystyle 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
DELargest absolute differences first23 habits
| Habit | ChickenNamba | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 61.2% | 33.8% | +27.5% | |
| SA1 | 14.3% | 36.2% | -21.9% | |
| Drive Rush (cancel) | 12.9% | 23.0% | -10.0% | |
| Drive Rush (parry) | 14.8% | 8.9% | +5.9% | |
| SA2 | 18.4% | 21.3% | -3.0% | |
| CA | 6.1% | 8.7% | -2.6% | |
| Drive Guard | 17.5% | 15.1% | +2.5% | |
| Time cornered | 6.80 | 9.11 | -2.31 | |
| Drive Impact gauge | 2.9% | 1.8% | +1.1% | |
| Drive Parry | 0.80 | 1.76 | -0.96 | |
| Corner pressure | 13.10 | 12.23 | +0.87 | |
| Throws | 1.90 | 2.38 | -0.48 | |
| Perfect Parry | 0.10 | 0.57 | -0.47 | |
| Drive Arts | 24.3% | 24.7% | -0.4% | |
| Throw techs | 0.10 | 0.43 | -0.33 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Got stunned | 0.00 | 0.07 | -0.07 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Drive Impact | 0.30 | 0.24 | +0.06 | |
| Throw parries | 0.20 | 0.25 | -0.05 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Drive Reversal | 0.20 | 0.19 | +0.01 | |
| Got thrown | 2.20 | 2.20 | -0.00 |
FROM STATS TO PRACTICE
Latest 100Match plan
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
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 thisRecreate 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 0.2 · reference 0.13
Study a recurring matchup situation
vs Manon: 3 wins in 13 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 thisPick 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 Manon: 3 wins in 13 games
Review close-range choices
Throws: profile 1.6 · 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 thisReplay 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 1.6 · reference 2.38
- Throw techs: profile 0.1 · reference 0.43
- Got thrown: profile 2.4 · 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 11, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
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 thisTest 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 0.2 · reference 0.13
Test the close-range pattern
Throws: profile 1.6 · 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 thisIf 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 1.6 · reference 2.38
- Throw techs: profile 0.1 · reference 0.43
- Got thrown: profile 2.4 · reference 2.2
Test the Drive Impact tendency
Drive Impact: profile 0.3 · 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 thisRevisit 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 0.3 · reference 0.24
- Drive Impact gauge: profile 2.9% · reference 1.8%
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 11, 2026 · AI: nex-agi/nex-n2.5-pro:free