Latest game
VictoryCasual
LU
RYLUUpdated 6 hours ago
Steam
United StatesC100%
SteamUnited StatesC100%Spatchadoo
Ever Improving
LP 21,695Last 107–3Last 2011–9
Winrate
60%
62W · 42L · 104 stored
Ranked matches
104
selected mode
Wins
62
Ranked
Losses
42
Ranked
Peak LP
21,775
Luke
Ranked LP · Luke
League points over time for this character
Replay not requested
LURYPlaystyle reference
Habits vs top 30 Luke
Benchmark refreshed Sep 14, 2026, 4:27 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
LULargest absolute differences first23 habits
| Habit | Spatchadoo | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 2.6% | 37.0% | -34.4% | |
| SA3 | 4.4% | 33.7% | -29.3% | |
| SA1 | 54.8% | 30.0% | +24.8% | |
| Drive Arts | 40.1% | 16.3% | +23.8% | |
| Drive Impact gauge | 12.1% | 1.4% | +10.7% | |
| Drive Guard | 6.6% | 13.7% | -7.1% | |
| SA2 | 33.3% | 26.9% | +6.5% | |
| Drive Rush (parry) | 1.4% | 7.7% | -6.3% | |
| Corner pressure | 7.50 | 13.81 | -6.31 | |
| Time cornered | 6.20 | 8.85 | -2.65 | |
| CA | 7.4% | 9.4% | -2.0% | |
| Drive Reversal | 1.40 | 0.22 | +1.18 | |
| Drive Impact | 1.20 | 0.20 | +1.00 | |
| Punish Counters landed | 0.80 | 0.10 | +0.70 | |
| Perfect Parry | 0.10 | 0.77 | -0.67 | |
| Got Punish Countered | 0.50 | 0.09 | +0.41 | |
| Throw techs | 0.10 | 0.46 | -0.36 | |
| Drive Parry | 1.60 | 1.87 | -0.27 | |
| Throw parries | 0.00 | 0.21 | -0.21 | |
| Throws | 2.20 | 2.35 | -0.15 | |
| Got thrown | 2.00 | 2.11 | -0.11 | |
| Stuns landed | 0.00 | 0.08 | -0.08 | |
| Got stunned | 0.00 | 0.07 | -0.07 |
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 0.7 · 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 0.7 · reference 0.06
Give each meter spend a purpose
Drive Arts: profile 42.9% · reference 16.7%
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
- Drive Arts: profile 42.9% · reference 16.7%
Compare decisions across wins and losses
Recent stored ranked sample: 58 wins in 100 games
Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.
Try thisWrite down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.
Supporting stats
- Recent stored ranked sample: 58 wins in 100 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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Use matchup records as scouting leads
vs Akuma: 52 wins in 98 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 Akuma: 52 wins in 98 games
Separate a tendency from a one-off event
Recent stored ranked sample: 58 wins in 100 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: 58 wins in 100 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.7 · 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 0.7 · 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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free