Luke
Updated 1 week agoCrossPlatformCrossPlatformJapanJapanClub · MaiMastersC100%

るぅーくん

Oni Protector
Rank 27
LP 14,454
Last 105–5Last 2011–9
Winrate
54%
37W · 32L · 69 stored
Ranked matches
69
selected mode
Wins
37
Ranked
Losses
32
Ranked
Peak LP
14,494
Luke

Ranked LP · Luke

League points over time for this character

Latest game

DefeatCustom Room

Replay not requested
Luke
るぅーくん · Luke
Ryu
Opponent · Ryuいとうなる

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
るぅーくん’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るぅーくんLegendsDifference LessLegendsMore
Drive Rush (cancel)55.9%37.0%+18.9%
SA29.1%26.9%-17.8%
CA22.7%9.4%+13.3%
Drive Arts5.5%16.3%-10.8%
Drive Guard6.8%13.7%-6.9%
Corner pressure6.9013.81-6.91
Drive Rush (parry)2.4%7.7%-5.3%
SA338.6%33.7%+4.9%
Drive Impact gauge3.0%1.4%+1.6%
Time cornered7.908.85-0.95
Perfect Parry0.200.77-0.57
Drive Parry1.401.87-0.47
SA129.5%30.0%-0.5%
Throws2.602.35+0.25
Drive Reversal0.000.22-0.22
Throw parries0.000.21-0.21
Got thrown2.302.11+0.19
Got Punish Countered0.200.09+0.11
Drive Impact0.300.20+0.10
Punish Counters landed0.200.10+0.10
Stuns landed0.000.08-0.08
Got stunned0.000.07-0.07
Throw techs0.400.46-0.06
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. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.3 · 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 this

    Record 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 0.3 · reference 0.19
    • Drive Impact gauge: profile 3% · reference 1.4%
  2. 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 0.2 · reference 0.69
    • Drive Parry: profile 1.4 · reference 1.8
  3. Give each meter spend a purpose

    SA2: profile 9.1% · 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 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
    • SA2: profile 9.1% · reference 26%
    • Drive Arts: profile 5.5% · reference 16.7%
    • Drive Guard: profile 6.8% · reference 13.2%

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 4, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Char 253: 358 wins in 766 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 Char 253: 358 wins in 766 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 37 wins in 66 games

    Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

    Try this

    Use 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: 37 wins in 66 games
  3. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · 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 this

    Test 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 0.2 · 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 4, 2026 · AI: dots-studio/dots-3-note-preview:free

Public data

Public statistics and datasets

Results from 184 of 184 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
97games
Losses
87games
Draws
0games
Games
184games
Win rate (draw = half win)
52.72%
Field definitions 5 fields
Wins
Wins · games. wins
Losses
Losses · games. losses
Draws
Draws · games. draws
Games
Games · games. total
Win rate (draw = half win)
Win rate (draw = half win) · percent. winRate Displayed to two decimal places; JSON retains full precision.

Current saved character ratings

13 rows

Scroll if needed to compare columns. Expand Details for the remaining fields.

Current saved character ratings. 13 rows on page 1; 13 rows total.
CharacterMRMR pointsLPLP pointsDetails
Ryu0-1
Details for Current saved character ratings, row 1
Character ID
1
Luke014,454
Details for Current saved character ratings, row 2
Character ID
2
Chun-Li0-1
Details for Current saved character ratings, row 3
Character ID
4
Zangief0-1
Details for Current saved character ratings, row 4
Character ID
6
Juri0-1
Details for Current saved character ratings, row 5
Character ID
16
Guile0-1
Details for Current saved character ratings, row 6
Character ID
18
Ed0-1
Details for Current saved character ratings, row 7
Character ID
19
Akuma0-1
Details for Current saved character ratings, row 8
Character ID
22
Sagat0-1
Details for Current saved character ratings, row 9
Character ID
25
M. Bison0-1
Details for Current saved character ratings, row 10
Character ID
26
Mai013,024
Details for Current saved character ratings, row 11
Character ID
28
Alex012,785
Details for Current saved character ratings, row 12
Character ID
31
Random0-1
Details for Current saved character ratings, row 13
Character ID
254
Field definitions 4 fields
Character ID
Character ID · identifier. characterId
Character
Character · text. character
MR
Master Rating · MR points. mr
LP
League Points · LP points. lp

Last saved update: .

Latest saved profile; local results cover at most the newest 10,000 stored matches across all modes.

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