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LUUpdated 5 days ago
Steam
JapanClub · InSpiREC100%
SteamJapanClub · InSpiREC100%DJ.MATCH
Let's Do This
MR 1,705#26,049Last 106–4+20Last 2013–7+53
Winrate
55%
63W · 51L · 114 stored
Ranked matches
114
selected mode
Wins
63
Ranked
Losses
51
Ranked
Peak MR
1,705
Luke
Ranked MR · Luke
114 local · 0 imported · 114 on chart · 249 battles stored
Replay not requested
RYYAPlaystyle reference
Habits vs top 30 Luke
Benchmark refreshed Sep 6, 2026, 10:21 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
LULargest absolute differences first23 habits
| Habit | DJ.MATCH | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 4.9% | 26.0% | -21.1% | |
| SA3 | 49.2% | 34.2% | +15.0% | |
| Drive Rush (cancel) | 25.9% | 37.3% | -11.4% | |
| Drive Arts | 26.5% | 16.7% | +9.9% | |
| Corner pressure | 8.00 | 13.55 | -5.55 | |
| CA | 13.1% | 9.2% | +4.0% | |
| Drive Impact gauge | 4.1% | 1.4% | +2.7% | |
| Drive Guard | 10.5% | 13.2% | -2.7% | |
| Drive Rush (parry) | 5.2% | 7.6% | -2.4% | |
| SA1 | 32.8% | 30.6% | +2.1% | |
| Time cornered | 8.40 | 8.74 | -0.34 | |
| Throws | 2.10 | 2.43 | -0.33 | |
| Drive Parry | 1.50 | 1.80 | -0.30 | |
| Got Punish Countered | 0.30 | 0.06 | +0.24 | |
| Punish Counters landed | 0.30 | 0.08 | +0.22 | |
| Drive Impact | 0.40 | 0.19 | +0.21 | |
| Got thrown | 2.20 | 2.01 | +0.19 | |
| Perfect Parry | 0.50 | 0.69 | -0.19 | |
| Throw techs | 0.50 | 0.37 | +0.13 | |
| Drive Reversal | 0.30 | 0.20 | +0.10 | |
| Throw parries | 0.30 | 0.22 | +0.08 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.10 | 0.06 | +0.04 |
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.
Luke · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.3 · reference 0.08
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 0.3 · reference 0.08
Make Drive Impact a deliberate choice
Drive Impact: profile 0.5 · reference 0.17
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.
Supporting stats
- Drive Impact: profile 0.5 · reference 0.17
- Drive Impact gauge: profile 4.6% · reference 1.3%
Review defensive decisions
Drive Parry: profile 1.6 · reference 1.82
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 1.6 · reference 1.82
- Perfect Parry: profile 0.4 · reference 0.71
- Drive Reversal: profile 0.1 · reference 0.2
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Yasmine: 248 wins in 405 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 Yasmine: 248 wins in 405 games
- vs Terry: 49 wins in 77 games
- vs Juri: 17 wins in 41 games
Separate a tendency from a one-off event
Recent stored ranked sample: 53 wins in 100 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: 53 wins in 100 games
Look for a repeatable punish opportunity
Punish Counters landed: profile 0.3 · reference 0.08
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
- Punish Counters landed: profile 0.3 · reference 0.08
- Got Punish Countered: profile 0.2 · reference 0.06
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