Luke
Updated 1 week agoSteamSteamJapanJapanC82%

NullKG

BANG! BANG! BANG!
Rank 36MR 1,749#15,411
Last 105–5-5Last 2012–8+24
Winrate
53%
43W · 38L · 81 stored
Ranked matches
81
selected mode
Wins
43
Ranked
Losses
38
Ranked
Peak MR
1,749
Luke

Ranked MR · Luke

81 local · 0 imported · 81 on chart · 141 battles stored

Latest game

DefeatRanked

Replay not requested
Akuma
NullKG · Akuma
Terry
Opponent · Terryゴア・マガラ ケン

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
NullKG’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
HabitNullKGLegendsDifference LessLegendsMore
SA214.5%26.9%-12.4%
CA18.8%9.4%+9.4%
Drive Rush (cancel)32.5%37.0%-4.5%
SA337.7%33.7%+4.0%
Corner pressure12.1013.81-1.71
Drive Rush (parry)9.4%7.7%+1.6%
Drive Arts17.8%16.3%+1.4%
Drive Guard14.8%13.7%+1.1%
Time cornered7.808.85-1.05
SA129.0%30.0%-1.0%
Throws2.702.35+0.35
Drive Reversal0.500.22+0.28
Perfect Parry0.500.77-0.27
Throw parries0.300.21+0.09
Drive Impact gauge1.3%1.4%-0.1%
Drive Parry1.801.87-0.07
Got stunned0.000.07-0.07
Throw techs0.500.46+0.04
Stuns landed0.100.08+0.02
Got thrown2.102.11-0.01
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. Find the cause of punish events

    Got Punish Countered: profile 0.1 · 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 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
    • Got Punish Countered: profile 0.1 · reference 0.06
    • Punish Counters landed: profile 0.1 · reference 0.08
  2. Give each meter spend a purpose

    Drive Arts: profile 30.9% · 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 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
    • Drive Arts: profile 30.9% · reference 16.7%
    • SA3: profile 57.6% · reference 34.2%
    • SA2: profile 16.7% · reference 26%
  3. Review defensive decisions

    Drive Reversal: profile 0.3 · 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 0.3 · reference 0.2
    • Drive Parry: profile 1.2 · reference 1.8
    • Perfect Parry: profile 0.2 · 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Probe defense before committing

    Drive Reversal: profile 0.3 · 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 0.3 · reference 0.2
    • Drive Parry: profile 1.2 · reference 1.8
    • Perfect Parry: profile 0.2 · reference 0.69
  2. Adapt to the visible gauge

    Drive Arts: profile 30.9% · reference 16.7%

    Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.

    Try this

    After a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.

    Supporting stats
    • Drive Arts: profile 30.9% · reference 16.7%
    • SA3: profile 57.6% · reference 34.2%
    • SA2: profile 16.7% · reference 26%
  3. Build pressure without overextending

    Corner pressure: profile 9.9 · reference 13.55

    Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.

    Try this

    Test one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.

    Supporting stats
    • Corner pressure: profile 9.9 · reference 13.55
    • Time cornered: profile 6.9 · reference 8.74

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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

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