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DefeatRanked
LU
RYLUUpdated 1 week ago
CrossPlatform
OtherClub · FightClubSF6gxM100%
CrossPlatformOtherClub · FightClubSF6gxM100%神話の地出身アガレス
Ever Improving
MR 1,756#13,988Last 107–3+31Last 2011–9+3
Winrate
51%
66W · 63L · 129 stored
Ranked matches
129
selected mode
Wins
66
Ranked
Losses
63
Ranked
Peak MR
1,811
Luke
Ranked MR · Luke
129 local · 0 imported · 129 on chart · 146 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 | 神話の地出身アガレス | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 19.2% | 9.2% | +10.1% | |
| SA2 | 16.7% | 26.0% | -9.4% | |
| SA3 | 26.9% | 34.2% | -7.2% | |
| Drive Rush (cancel) | 30.7% | 37.3% | -6.6% | |
| SA1 | 37.2% | 30.6% | +6.5% | |
| Drive Arts | 12.0% | 16.7% | -4.7% | |
| Time cornered | 10.90 | 8.74 | +2.16 | |
| Drive Rush (parry) | 9.3% | 7.6% | +1.7% | |
| Drive Guard | 14.6% | 13.2% | +1.4% | |
| Drive Impact gauge | 1.9% | 1.4% | +0.5% | |
| Throws | 2.70 | 2.43 | +0.27 | |
| Throw techs | 0.60 | 0.37 | +0.23 | |
| Drive Parry | 1.60 | 1.80 | -0.20 | |
| Got thrown | 1.90 | 2.01 | -0.11 | |
| Drive Reversal | 0.30 | 0.20 | +0.10 | |
| Perfect Parry | 0.60 | 0.69 | -0.09 | |
| Punish Counters landed | 0.00 | 0.08 | -0.08 | |
| Got stunned | 0.00 | 0.06 | -0.06 | |
| Corner pressure | 13.50 | 13.55 | -0.05 | |
| 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 | |
| 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
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 · reference 0.08
Give each meter spend a purpose
SA2: profile 16.7% · reference 26%
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
- SA2: profile 16.7% · reference 26%
- SA3: profile 26.9% · reference 34.2%
- CA: profile 19.2% · reference 9.2%
Trace how you lose or gain space
Time cornered: profile 10.9 · reference 8.74
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
- Time cornered: profile 10.9 · reference 8.74
- Corner pressure: profile 13.5 · reference 13.55
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
Probe defense before committing
Drive Reversal: profile 0.3 · reference 0.2
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 Reversal: profile 0.3 · reference 0.2
- Perfect Parry: profile 0.6 · reference 0.69
- Throw techs: profile 0.6 · reference 0.37
Use matchup records as scouting leads
vs Luke: 64 wins in 126 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: 64 wins in 126 games
- vs Alex: 62 wins in 97 games
- vs Ryu: 56 wins in 85 games
Separate a tendency from a one-off event
Recent stored ranked sample: 48 wins in 94 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: 48 wins in 94 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free