Luke
Updated 7 hours agoSteamSteamJapanJapanC100%

_k'_

Not Here to Play Games
Rank 36MR 1,712#24,873
Last 106–4+16Last 209–11-14
Winrate
50%
56W · 56L · 112 stored
Ranked matches
112
selected mode
Wins
56
Ranked
Losses
56
Ranked
Peak MR
1,740
Luke

Ranked MR · Luke

112 local · 0 imported · 112 on chart · 174 battles stored

Latest game

VictoryRanked

Replay not requested
Luke
_k'_ · Luke
Zangief
Opponent · ZangiefぱすたのみそしるYouTube

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
_k'_’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_k'_LegendsDifference LessLegendsMore
SA29.9%26.9%-17.0%
Drive Rush (cancel)52.8%37.0%+15.8%
SA139.6%30.0%+9.6%
SA340.7%33.7%+6.9%
Corner pressure6.9013.81-6.91
Drive Guard8.7%13.7%-5.0%
Drive Rush (parry)3.7%7.7%-4.0%
Drive Arts12.5%16.3%-3.9%
Time cornered11.808.85+2.95
Throws1.802.35-0.55
CA9.9%9.4%+0.5%
Perfect Parry0.400.77-0.37
Drive Impact gauge1.2%1.4%-0.3%
Got stunned0.200.07+0.13
Drive Parry2.001.87+0.13
Drive Reversal0.100.22-0.12
Throw parries0.100.21-0.11
Got Punish Countered0.200.09+0.11
Drive Impact0.100.20-0.10
Throw techs0.500.46+0.04
Stuns landed0.100.08+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

    Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.06
    • Punish Counters landed: profile 0.1 · reference 0.08
  2. Trace how you lose or gain space

    Time cornered: profile 12 · reference 8.74

    Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.

    Try this

    Recreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.

    Supporting stats
    • Time cornered: profile 12 · reference 8.74
    • Corner pressure: profile 6.9 · reference 13.55
  3. Review close-range choices

    Throws: profile 1.8 · 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 1.8 · reference 2.43
    • Throw techs: profile 0.6 · reference 0.37
    • Got thrown: profile 2.1 · reference 2.01

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 14, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Luke: 58 wins in 108 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 Luke: 58 wins in 108 games
    • vs Char 253: 544 wins in 946 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 8 wins in 23 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: 8 wins in 23 games
  3. Test the close-range pattern

    Throw techs: profile 0.6 · reference 0.37

    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
    • Throw techs: profile 0.6 · reference 0.37
    • Got thrown: profile 2.1 · reference 2.01

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 14, 2026 · AI: nex-agi/nex-n2.5-mini:free

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