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LU
KILUUpdated 5 days ago
Steam
JapanClub · NakedOROKAM91%
SteamJapanClub · NakedOROKAM91%アイドルタロ子
Fights for Love
MR 1,772#13,354Last 104–6-19Last 2011–9+22
Winrate
50%
92W · 91L · 183 stored
Ranked matches
183
selected mode
Wins
92
Ranked
Losses
91
Ranked
Peak MR
1,861
Luke
Ranked MR · Luke
183 local · 0 imported · 183 on chart · 430 battles stored
Replay not requested
LUKIPlaystyle 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 | アイドルタロ子 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 8.5% | 26.0% | -17.6% | |
| SA3 | 42.3% | 34.2% | +8.1% | |
| Drive Arts | 10.5% | 16.7% | -6.2% | |
| CA | 14.1% | 9.2% | +4.9% | |
| Time cornered | 13.60 | 8.74 | +4.86 | |
| SA1 | 35.2% | 30.6% | +4.6% | |
| Corner pressure | 9.80 | 13.55 | -3.75 | |
| Drive Rush (cancel) | 39.0% | 37.3% | +1.7% | |
| Got thrown | 3.40 | 2.01 | +1.39 | |
| Drive Rush (parry) | 6.7% | 7.6% | -0.9% | |
| Drive Impact gauge | 2.2% | 1.4% | +0.8% | |
| Drive Parry | 2.20 | 1.80 | +0.40 | |
| Drive Guard | 13.6% | 13.2% | +0.4% | |
| Throw techs | 0.70 | 0.37 | +0.33 | |
| Perfect Parry | 0.50 | 0.69 | -0.19 | |
| Throw parries | 0.40 | 0.22 | +0.18 | |
| Drive Reversal | 0.30 | 0.20 | +0.10 | |
| Throws | 2.50 | 2.43 | +0.07 | |
| Got stunned | 0.10 | 0.06 | +0.04 | |
| Got Punish Countered | 0.10 | 0.06 | +0.04 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Punish Counters landed | 0.10 | 0.08 | +0.02 | |
| Drive Impact | 0.20 | 0.19 | +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
Review defensive decisions
Drive Reversal: profile 0.6 · reference 0.2
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 0.6 · reference 0.2
- Perfect Parry: profile 0.3 · reference 0.71
- Drive Parry: profile 1.7 · reference 1.82
Trace how you lose or gain space
Corner pressure: profile 9.7 · reference 14.11
Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.
Try thisRecreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.
Supporting stats
- Corner pressure: profile 9.7 · reference 14.11
- Time cornered: profile 11.7 · reference 8.66
Give each meter spend a purpose
SA3: profile 41.1% · reference 36.2%
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
- SA3: profile 41.1% · reference 36.2%
- CA: profile 5.6% · reference 10.5%
- Drive Arts: profile 13.7% · reference 15.4%
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 Luke: 82 wins in 168 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 Luke: 82 wins in 168 games
- vs Ryu: 70 wins in 107 games
- vs Kimberly: 82 wins in 170 games
Separate a tendency from a one-off event
Recent stored ranked sample: 28 wins in 50 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: 28 wins in 50 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.1 · reference 0.06
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 0.1 · 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