Latest game
DefeatRanked
DE
INDEUpdated 2 days ago
Steam
JapanClub · NGSSF6C100%
SteamJapanClub · NGSSF6C100%ﾎ ｯ ﾎ
GG
MR 1,539#155,531Last 105–5+9Last 208–6+25
Winrate
57%
8W · 6L · 14 stored
Ranked matches
14
selected mode
Wins
8
Ranked
Losses
6
Ranked
Peak MR
1,553
Dee Jay
Ranked MR · Dee Jay
9 local · 23 imported · 32 on chart · 78 battles stored
Replay not requested
DEINPlaystyle 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 | ﾎ ｯ ﾎ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Arts | 13.1% | 24.7% | -11.6% | |
| Drive Rush (cancel) | 33.6% | 23.0% | +10.6% | |
| SA1 | 27.3% | 36.2% | -8.9% | |
| CA | 13.6% | 8.7% | +4.9% | |
| SA2 | 25.8% | 21.3% | +4.4% | |
| Corner pressure | 8.00 | 12.23 | -4.23 | |
| Time cornered | 8.40 | 9.11 | -0.71 | |
| SA3 | 33.3% | 33.8% | -0.4% | |
| Drive Impact gauge | 2.1% | 1.8% | +0.3% | |
| Drive Parry | 1.50 | 1.76 | -0.26 | |
| Throw techs | 0.60 | 0.43 | +0.17 | |
| Drive Guard | 15.0% | 15.1% | -0.1% | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Got thrown | 2.10 | 2.20 | -0.10 | |
| Drive Reversal | 0.10 | 0.19 | -0.09 | |
| Throws | 2.30 | 2.38 | -0.08 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Perfect Parry | 0.50 | 0.57 | -0.07 | |
| Throw parries | 0.20 | 0.25 | -0.05 | |
| Drive Impact | 0.20 | 0.24 | -0.04 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Got stunned | 0.10 | 0.07 | +0.03 | |
| Drive Rush (parry) | 8.9% | 8.9% | -0.0% |
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
Review defensive decisions
Drive Reversal: profile 0.1 · 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 thisRecord 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 0.1 · reference 0.19
Review close-range choices
Throws: profile 2.3 · 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 2.3 · reference 2.38
- Throw techs: profile 0.5 · reference 0.43
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 12, 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
Got thrown: profile 2.1 · reference 2.2
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
- Got thrown: profile 2.1 · reference 2.2
- Throws: profile 2.3 · reference 2.38
Use matchup records as scouting leads
vs Marisa: 4 wins in 18 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf 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 Marisa: 4 wins in 18 games
- vs Jamie: 6 wins in 12 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 12, 2026 · AI: nex-agi/nex-n2.5-pro:free