Luke
Updated 16 minutes agoSteamSteamJapanJapanC100%

rente

Oni Protector
Rank 36MR 1,607#76,058
Last 102–8-46Last 209–11-15
Winrate
47%
146W · 161L · 308 stored
Ranked matches
308
selected mode
Wins
146
Ranked
Losses
161
Ranked
Peak MR
1,699
Luke

Ranked MR · Luke

308 local · 1351 imported · 1456 on chart · 308 battles stored

Latest game

DefeatRanked

Replay not requested
Luke
rente · Luke
M. Bison
Opponent · M. Bison不思議な世界、素敵な世界!

Playstyle reference

Habits vs top 30 Luke

Benchmark refreshed Sep 6, 2026, 10:21 PM

Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details

Luke
rente’s Luke benchmark

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

watyawacha 2242 · noahtheprodigy 2242 · Modern hater 2207 · ChrisWong 2207 · kuromame 2205 · +25 others

Largest absolute differences first23 habits
HabitrenteLegendsDifference LessLegendsMore
SA326.2%34.2%-8.0%
SA135.7%30.6%+5.1%
Time cornered12.408.74+3.66
CA11.9%9.2%+2.7%
Drive Arts14.4%16.7%-2.3%
Corner pressure12.3013.55-1.25
Drive Rush (cancel)36.3%37.3%-1.0%
Drive Impact gauge2.3%1.4%+0.9%
Drive Guard12.4%13.2%-0.8%
Throws3.102.43+0.67
Drive Parry1.401.80-0.40
Got thrown2.402.01+0.39
Drive Rush (parry)7.8%7.6%+0.2%
Drive Reversal0.000.20-0.20
SA226.2%26.0%+0.2%
Got Punish Countered0.200.06+0.14
Punish Counters landed0.200.08+0.12
Stuns landed0.000.07-0.07
Got stunned0.100.06+0.04
Throw techs0.400.37+0.03
Throw parries0.200.22-0.02
Perfect Parry0.700.69+0.01
Drive Impact0.200.19+0.01
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 0.2 · 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 0.2 · reference 0.08
  2. Trace how you lose or gain space

    Corner pressure: profile 12.1 · reference 14.11

    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
    • Corner pressure: profile 12.1 · reference 14.11
    • Time cornered: profile 11.4 · reference 8.66
  3. Review close-range choices

    Throws: profile 3.8 · reference 2.57

    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 3.8 · reference 2.57
    • Got thrown: profile 2.7 · reference 2.04

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 5, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Yasmine: 208 wins in 347 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 Yasmine: 208 wins in 347 games
    • vs Alex: 55 wins in 103 games
    • vs Ryu: 97 wins in 187 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 5, 2026 · AI: dots-studio/dots-3-note-preview:free

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