Latest game
VictoryRanked
LU
AKLUUpdated 2 days ago
Steam
OtherC100%
SteamOtherC100%RTK63
Let's Do This
LP 23,646Last 106–4Last 2013–7
Winrate
44%
98W · 123L · 221 stored
Ranked matches
221
selected mode
Wins
98
Ranked
Losses
123
Ranked
Peak LP
24,669
Luke
Ranked LP · Luke
League points over time for this character
Available
LUAKPlaystyle 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 | RTK63 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 4.5% | 26.0% | -21.5% | |
| SA1 | 49.3% | 30.6% | +18.6% | |
| Drive Impact gauge | 12.3% | 1.4% | +10.9% | |
| CA | 19.4% | 9.2% | +10.2% | |
| SA3 | 26.9% | 34.2% | -7.3% | |
| Drive Arts | 10.1% | 16.7% | -6.6% | |
| Drive Rush (cancel) | 33.6% | 37.3% | -3.7% | |
| Drive Guard | 9.9% | 13.2% | -3.3% | |
| Time cornered | 6.70 | 8.74 | -2.04 | |
| Corner pressure | 11.70 | 13.55 | -1.85 | |
| Drive Impact | 1.10 | 0.19 | +0.91 | |
| Drive Parry | 1.00 | 1.80 | -0.80 | |
| Punish Counters landed | 0.70 | 0.08 | +0.62 | |
| Perfect Parry | 0.10 | 0.69 | -0.59 | |
| Got thrown | 2.50 | 2.01 | +0.49 | |
| Got Punish Countered | 0.50 | 0.06 | +0.44 | |
| Drive Rush (parry) | 7.2% | 7.6% | -0.4% | |
| Throws | 2.80 | 2.43 | +0.37 | |
| Drive Reversal | 0.50 | 0.20 | +0.30 | |
| Throw parries | 0.10 | 0.22 | -0.12 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.10 | 0.06 | +0.04 | |
| Throw techs | 0.40 | 0.37 | +0.03 |
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 0.6 · 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 0.6 · reference 0.06
- Punish Counters landed: profile 0.5 · reference 0.08
Review defensive decisions
Drive Parry: profile 0.6 · reference 1.8
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 Parry: profile 0.6 · reference 1.8
- Perfect Parry: profile 0.1 · reference 0.69
Study a recurring matchup situation
vs Akuma: 55 wins in 117 games
Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.
Try thisPick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.
Supporting stats
- vs Akuma: 55 wins in 117 games
- vs Yasmine: 23 wins in 63 games
- vs Alex: 45 wins in 92 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 10, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Use matchup records as scouting leads
vs Akuma: 55 wins in 117 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: 55 wins in 117 games
- vs Yasmine: 23 wins in 63 games
- vs Alex: 45 wins in 92 games
Separate a tendency from a one-off event
Recent stored ranked sample: 40 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: 40 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 10, 2026 · AI: nex-agi/nex-n2.5-mini:free