Latest game
VictoryRanked
LU
RYLUUpdated 2 days ago
Steam
JapanC100%
SteamJapanC100%エノキAG
Angel Devil Kingdom
MR 1,313#589,660Last 102–8-41Last 208–12-21
Winrate
41%
29W · 41L · 70 stored
Ranked matches
70
selected mode
Wins
29
Ranked
Losses
41
Ranked
Peak MR
1,386
Luke
Ranked MR · Luke
70 local · 0 imported · 70 on chart · 70 battles stored
Replay not requested
LURYPlaystyle 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 | エノキAG | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 6.7% | 26.0% | -19.4% | |
| CA | 23.3% | 9.2% | +14.2% | |
| Drive Rush (cancel) | 24.0% | 37.3% | -13.3% | |
| SA1 | 38.3% | 30.6% | +7.7% | |
| Corner pressure | 9.30 | 13.55 | -4.25 | |
| Drive Guard | 17.2% | 13.2% | +4.0% | |
| SA3 | 31.7% | 34.2% | -2.5% | |
| Drive Rush (parry) | 9.7% | 7.6% | +2.1% | |
| Time cornered | 7.10 | 8.74 | -1.64 | |
| Drive Impact gauge | 2.8% | 1.4% | +1.4% | |
| Drive Arts | 17.8% | 16.7% | +1.1% | |
| Drive Parry | 2.40 | 1.80 | +0.60 | |
| Throws | 2.90 | 2.43 | +0.47 | |
| Drive Reversal | 0.50 | 0.20 | +0.30 | |
| Perfect Parry | 0.40 | 0.69 | -0.29 | |
| Throw techs | 0.10 | 0.37 | -0.27 | |
| Got Punish Countered | 0.30 | 0.06 | +0.24 | |
| Punish Counters landed | 0.20 | 0.08 | +0.12 | |
| Drive Impact | 0.30 | 0.19 | +0.11 | |
| Throw parries | 0.30 | 0.22 | +0.08 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.00 | 0.06 | -0.06 | |
| Got thrown | 2.00 | 2.01 | -0.01 |
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 0.4 · 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 0.4 · reference 0.17
Review close-range choices
Throws: profile 3.1 · reference 2.57
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 3.1 · reference 2.57
- Throw techs: profile 0.2 · reference 0.4
- Got thrown: profile 2.8 · reference 2.04
Give each meter spend a purpose
SA1: profile 50% · reference 30.7%
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
- SA1: profile 50% · reference 30.7%
- SA2: profile 7.8% · reference 22.5%
- SA3: profile 25% · reference 36.2%
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 Ryu: 23 wins in 52 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 Ryu: 23 wins in 52 games
- vs Luke: 14 wins in 32 games
- vs Ken: 27 wins in 47 games
Separate a tendency from a one-off event
Recent stored ranked sample: 23 wins in 52 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: 23 wins in 52 games
Test the Drive Impact tendency
Drive Impact: profile 0.4 · reference 0.17
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 0.4 · reference 0.17
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