Latest game
VictoryRanked
LU
JALUUpdated 1 week ago
CrossPlatform
JapanClub · XBOXM77%
CrossPlatformJapanClub · XBOXM77%yomo
Shared Destiny
MR 1,701#29,291Last 106–4+19Last 2012–8+34
Winrate
58%
44W · 32L · 76 stored
Ranked matches
76
selected mode
Wins
44
Ranked
Losses
32
Ranked
Peak MR
1,721
Luke
Ranked MR · Luke
76 local · 0 imported · 76 on chart · 87 battles stored
Replay not requested
LUJAPlaystyle 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 | yomo | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 9.5% | 26.0% | -16.5% | |
| SA1 | 38.9% | 30.6% | +8.3% | |
| Drive Rush (cancel) | 43.4% | 37.3% | +6.0% | |
| CA | 14.7% | 9.2% | +5.6% | |
| Drive Arts | 12.8% | 16.7% | -3.9% | |
| SA3 | 36.8% | 34.2% | +2.7% | |
| Corner pressure | 12.10 | 13.55 | -1.45 | |
| Drive Guard | 14.0% | 13.2% | +0.8% | |
| Time cornered | 8.10 | 8.74 | -0.64 | |
| Drive Rush (parry) | 8.2% | 7.6% | +0.6% | |
| Throws | 2.80 | 2.43 | +0.37 | |
| Drive Parry | 2.10 | 1.80 | +0.30 | |
| Drive Impact gauge | 1.2% | 1.4% | -0.2% | |
| Throw techs | 0.20 | 0.37 | -0.17 | |
| Got thrown | 1.90 | 2.01 | -0.11 | |
| Drive Impact | 0.10 | 0.19 | -0.09 | |
| Perfect Parry | 0.60 | 0.69 | -0.09 | |
| Got stunned | 0.00 | 0.06 | -0.06 | |
| Got Punish Countered | 0.10 | 0.06 | +0.04 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Throw parries | 0.20 | 0.22 | -0.02 | |
| Punish Counters landed | 0.10 | 0.08 | +0.02 | |
| Drive Reversal | 0.20 | 0.20 | +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.
Luke · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.1 · reference 0.19
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 0.1 · reference 0.19
- Drive Impact gauge: profile 1.2% · reference 1.4%
Find the cause of punish events
Got Punish Countered: profile 0.1 · reference 0.06
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 0.1 · reference 0.06
- Punish Counters landed: profile 0.1 · reference 0.08
Review close-range choices
Throw techs: profile 0.2 · reference 0.37
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
- Throw techs: profile 0.2 · reference 0.37
- Throws: profile 2.6 · reference 2.43
- Got thrown: profile 1.8 · reference 2.01
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Mai: 6 wins in 16 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 Mai: 6 wins in 16 games
- vs Ingrid: 10 wins in 19 games
- vs C. Viper: 10 wins in 17 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free