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DefeatRanked
LU
M.LUUpdated 6 days ago
Steam
JapanClub · RyozenFightClubC100%
SteamJapanClub · RyozenFightClubC100%アレジラスト20
I Don't Crack Under Pressure.
MR 1,602#83,930Last 103–7-31Last 2011–9+14
Winrate
48%
22W · 24L · 46 stored
Ranked matches
46
selected mode
Wins
22
Ranked
Losses
24
Ranked
Peak MR
1,605
Luke
Ranked MR · Luke
46 local · 0 imported · 46 on chart · 78 battles stored
Replay not requested
LUM.Playstyle 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 | アレジラスト20 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 16.7% | 9.2% | +7.5% | |
| Drive Rush (cancel) | 30.0% | 37.3% | -7.3% | |
| SA2 | 20.8% | 26.0% | -5.2% | |
| Drive Guard | 16.5% | 13.2% | +3.3% | |
| SA1 | 27.8% | 30.6% | -2.9% | |
| Drive Arts | 19.4% | 16.7% | +2.7% | |
| Drive Rush (parry) | 9.1% | 7.6% | +1.5% | |
| Time cornered | 7.40 | 8.74 | -1.34 | |
| Throws | 1.50 | 2.43 | -0.93 | |
| Got thrown | 1.40 | 2.01 | -0.61 | |
| SA3 | 34.7% | 34.2% | +0.6% | |
| Drive Parry | 2.30 | 1.80 | +0.50 | |
| Corner pressure | 13.10 | 13.55 | -0.45 | |
| Drive Impact gauge | 1.8% | 1.4% | +0.4% | |
| Perfect Parry | 0.40 | 0.69 | -0.29 | |
| Throw techs | 0.30 | 0.37 | -0.07 | |
| 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 Impact | 0.20 | 0.19 | +0.01 | |
| 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
Give each meter spend a purpose
CA: profile 16.7% · reference 9.2%
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
- CA: profile 16.7% · reference 9.2%
- SA3: profile 34.7% · reference 34.2%
- Drive Arts: profile 19.4% · reference 16.7%
Review close-range choices
Throws: profile 1.5 · reference 2.43
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 1.5 · reference 2.43
- Throw techs: profile 0.3 · reference 0.37
- Got thrown: profile 1.4 · reference 2.01
Make Drive Impact a deliberate choice
Drive Impact: profile 0.2 · 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 0.2 · reference 0.19
- Drive Impact gauge: profile 1.8% · reference 1.4%
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 8, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Terry: 157 wins in 225 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 Terry: 157 wins in 225 games
- vs Akuma: 57 wins in 82 games
- vs M. Bison: 51 wins in 60 games
Separate a tendency from a one-off event
Recent stored ranked sample: 22 wins in 42 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: 22 wins in 42 games
Probe defense before committing
Drive Parry: profile 2.3 · reference 1.8
Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.
Try thisTry your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.
Supporting stats
- Drive Parry: profile 2.3 · reference 1.8
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 8, 2026 · AI: dots-studio/dots-3-note-preview:free