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DE
JUDEUpdated 3 hours ago
Steam
OtherClub · EngineersC100%
SteamOtherClub · EngineersC100%翻弄する動きに磨きをかけるDJ
You've Got This, Juri!
MR 1,700#34,447Last 106–4+18Last 2013–7+49
Winrate
53%
153W · 136L · 289 stored
Ranked matches
289
selected mode
Wins
153
Ranked
Losses
136
Ranked
Peak MR
1,716
Dee Jay
Ranked MR · Dee Jay
289 local · 0 imported · 289 on chart · 289 battles stored
Replay not requested
DEJUPlaystyle 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 | 翻弄する動きに磨きをかけるDJ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 60.2% | 21.3% | +38.9% | |
| SA3 | 8.4% | 33.8% | -25.3% | |
| Drive Rush (cancel) | 7.2% | 23.0% | -15.7% | |
| SA1 | 25.3% | 36.2% | -10.9% | |
| Drive Guard | 25.1% | 15.1% | +10.1% | |
| Drive Rush (parry) | 18.7% | 8.9% | +9.8% | |
| Drive Arts | 19.0% | 24.7% | -5.7% | |
| Corner pressure | 15.70 | 12.23 | +3.47 | |
| CA | 6.0% | 8.7% | -2.7% | |
| Drive Impact gauge | 1.3% | 1.8% | -0.5% | |
| Time cornered | 8.90 | 9.11 | -0.21 | |
| Perfect Parry | 0.40 | 0.57 | -0.17 | |
| Drive Parry | 1.60 | 1.76 | -0.16 | |
| Drive Impact | 0.10 | 0.24 | -0.14 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Throw techs | 0.50 | 0.43 | +0.07 | |
| Throw parries | 0.30 | 0.25 | +0.05 | |
| Punish Counters landed | 0.10 | 0.13 | -0.03 | |
| Got stunned | 0.10 | 0.07 | +0.03 | |
| Throws | 2.40 | 2.38 | +0.02 | |
| 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
Give each meter spend a purpose
SA2: profile 60.8% · reference 22%
Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.
Try thisPractice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.
Supporting stats
- SA2: profile 60.8% · reference 22%
- SA1: profile 17.7% · reference 35.1%
- CA: profile 1.3% · reference 9.2%
Review defensive decisions
Drive Parry: profile 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 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 Parry: profile 2 · reference 1.54
- Perfect Parry: profile 0.6 · reference 0.55
- Drive Reversal: profile 0.1 · reference 0.19
Find the cause of punish events
Punish Counters landed: 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 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
- Punish Counters landed: profile 0.2 · reference 0.12
- Got Punish Countered: profile 0.2 · 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Lily: 6 wins in 24 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 Lily: 6 wins in 24 games
Separate a tendency from a one-off event
Recent stored ranked sample: 45 wins in 93 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.
Supporting stats
- Recent stored ranked sample: 45 wins in 93 games
Build pressure without overextending
Corner pressure: profile 15.1 · reference 12.84
Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.
Try thisTest one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.
Supporting stats
- Corner pressure: profile 15.1 · reference 12.84
- Time cornered: profile 10.7 · reference 8.3
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free