Luke
Updated 11 hours agoCrossPlatformCrossPlatformJapanJapanC100%

わわわわ

Let's Do This
Rank 36MR 1,481#377,800
Last 105–5-2Last 2010–10-6
Winrate
54%
126W · 106L · 232 stored
Ranked matches
232
selected mode
Wins
126
Ranked
Losses
106
Ranked
Peak MR
1,549
Luke

Ranked MR · Luke

232 local · 0 imported · 232 on chart · 252 battles stored

Latest game

DefeatRanked

Replay not requested
Luke
わわわわ · Luke
M. Bison
Opponent · M. Bison桜紅海青

Playstyle 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

Luke
わわわわ’s Luke benchmark

Compared with the average habits of the top 30 sampled Luke players.

jazzzzy 2275 · kuromame 2251 · ChrisWong 2223 · watyawacha 2212 · コウキ_ルーク使いの人 2206 · +25 others

Largest absolute differences first23 habits
HabitわわわわLegendsDifference LessLegendsMore
SA25.3%26.9%-21.6%
CA22.8%9.4%+13.4%
Drive Rush (cancel)50.0%37.0%+13.0%
SA138.6%30.0%+8.6%
Drive Arts8.2%16.3%-8.1%
Drive Guard9.5%13.7%-4.2%
Corner pressure11.0013.81-2.81
Drive Rush (parry)6.0%7.7%-1.8%
Drive Parry0.901.87-0.97
Throws3.102.35+0.75
Perfect Parry0.200.77-0.57
SA333.3%33.7%-0.4%
Got thrown2.402.11+0.29
Drive Reversal0.000.22-0.22
Throw parries0.100.21-0.11
Throw techs0.400.46-0.06
Time cornered8.908.85+0.05
Got stunned0.100.07+0.03
Stuns landed0.100.08+0.02
Drive Impact gauge1.4%1.4%+0.0%
Got Punish Countered0.100.09+0.01
Drive Impact0.200.20+0.00
Punish Counters landed0.100.10-0.00
FROM STATS TO PRACTICE

Match plan

Latest 100

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

  1. Review defensive decisions

    Drive Reversal: profile 0 · 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 this

    Record 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 · reference 0.2
    • Perfect Parry: profile 0.4 · reference 0.69
    • Drive Parry: profile 1.4 · reference 1.8
  2. Review close-range choices

    Throws: profile 2.8 · 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 this

    Replay 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 2.8 · reference 2.43
    • Got thrown: profile 2.3 · reference 2.01
    • Throw techs: profile 0.3 · reference 0.37
  3. Give each meter spend a purpose

    SA3: profile 20% · reference 34.2%

    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 this

    Practice 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 20% · reference 34.2%
    • SA2: profile 10.9% · reference 26%
    • CA: profile 20% · reference 9.2%

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Ryu: 88 wins in 151 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If 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 Ryu: 88 wins in 151 games
    • vs Luke: 62 wins in 127 games
    • vs Akuma: 39 wins in 84 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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