Luke
Updated 2 days agoSteamSteamJapanJapanM100%

enoki

Code Holder
Rank 40
MR 1,684#39,137
Last 106–4+19Last 2014–6+64
Winrate
57%
120W · 91L · 211 stored
Ranked matches
211
selected mode
Wins
120
Ranked
Losses
91
Ranked
Peak MR
1,725
Luke

Ranked MR · Luke

211 local · 234 imported · 338 on chart · 211 battles stored

Latest game

VictoryRanked

Available
Luke
enoki · Luke
Ingrid
Opponent · IngridmaHiRo

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
enoki’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
HabitenokiLegendsDifference LessLegendsMore
SA145.5%30.0%+15.5%
SA216.8%26.9%-10.0%
SA326.7%33.7%-7.0%
Drive Arts12.6%16.3%-3.8%
Drive Rush (cancel)33.8%37.0%-3.2%
Drive Rush (parry)9.8%7.7%+2.0%
CA10.9%9.4%+1.5%
Drive Parry0.801.87-1.07
Corner pressure14.6013.81+0.79
Perfect Parry0.300.77-0.47
Drive Impact gauge1.9%1.4%+0.5%
Throws2.802.35+0.45
Time cornered8.408.85-0.45
Drive Guard13.3%13.7%-0.4%
Throw techs0.200.46-0.26
Got Punish Countered0.200.09+0.11
Drive Impact0.100.20-0.10
Throw parries0.300.21+0.09
Got stunned0.100.07+0.03
Stuns landed0.100.08+0.02
Drive Reversal0.200.22-0.02
Got thrown2.102.11-0.01
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. Find the cause of punish events

    Punish Counters landed: profile 0 · reference 0.08

    Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.

    Try this

    Recreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.

    Supporting stats
    • Punish Counters landed: profile 0 · reference 0.08
    • Got Punish Countered: profile 0.1 · reference 0.06
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.1 · 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 0.1 · reference 0.19
    • Drive Impact gauge: profile 0.8% · reference 1.4%
  3. 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
    • Drive Parry: profile 1.1 · reference 1.8
    • Perfect Parry: profile 0.3 · reference 0.69

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. Test the Drive Impact tendency

    Drive Impact: profile 0.1 · reference 0.19

    Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.

    Try this

    Revisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.

    Supporting stats
    • Drive Impact: profile 0.1 · reference 0.19
    • Drive Impact gauge: profile 0.8% · reference 1.4%
  2. Probe defense before committing

    Drive Reversal: profile 0 · 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 this

    Try 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 · reference 0.2
    • Drive Parry: profile 1.1 · reference 1.8
    • Perfect Parry: profile 0.3 · reference 0.69
  3. Test the close-range pattern

    Throws: profile 3.3 · reference 2.43

    Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

    Try this

    If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

    Supporting stats
    • Throws: profile 3.3 · reference 2.43
    • Got thrown: profile 2.3 · reference 2.01
    • Throw techs: profile 0.4 · reference 0.37

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

Public data

Public statistics and datasets

Results from 211 of 211 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
120games
Losses
91games
Draws
0games
Games
211games
Win rate (draw = half win)
56.87%
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

11 rows

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

Current saved character ratings. 11 rows on page 1; 11 rows total.
CharacterMRMR pointsLPLP pointsDetails
Luke1,684494,794
Details for Current saved character ratings, row 1
Character ID
2
Manon0-1
Details for Current saved character ratings, row 2
Character ID
5
JP0-1
Details for Current saved character ratings, row 3
Character ID
7
Cammy0-1
Details for Current saved character ratings, row 4
Character ID
9
Juri0-1
Details for Current saved character ratings, row 5
Character ID
16
Akuma0-1
Details for Current saved character ratings, row 6
Character ID
22
Sagat0-1
Details for Current saved character ratings, row 7
Character ID
25
M. Bison0-1
Details for Current saved character ratings, row 8
Character ID
26
Terry0-1
Details for Current saved character ratings, row 9
Character ID
27
Mai0-1
Details for Current saved character ratings, row 10
Character ID
28
Ingrid0-1
Details for Current saved character ratings, row 11
Character ID
32
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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