Luke
Updated 1 week agoSteamSteamChinaChinaC100%

Toru Rikiishi

Because I'm Cute, Obviously!
Rank 36MR 1,469#370,591
Last 105–5-1Last 2010–10-3
Winrate
46%
23W · 27L · 50 stored
Ranked matches
50
selected mode
Wins
23
Ranked
Losses
27
Ranked
Peak MR
1,519
Luke

Ranked MR · Luke

50 local · 0 imported · 50 on chart · 162 battles stored

Latest game

VictoryCustom Room

Replay not requested
Luke
Toru Rikiishi · Luke
Luke
Opponent · Luke花开的时候

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
Toru Rikiishi’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
HabitToru RikiishiLegendsDifference LessLegendsMore
SA24.9%26.0%-21.1%
Drive Rush (cancel)55.3%37.3%+17.9%
SA344.3%34.2%+10.1%
Drive Arts6.8%16.7%-9.9%
SA139.3%30.6%+8.7%
Drive Rush (parry)4.1%7.6%-3.6%
Corner pressure11.2013.55-2.35
CA11.5%9.2%+2.3%
Drive Guard11.4%13.2%-1.8%
Throws1.402.43-1.03
Drive Impact gauge0.8%1.4%-0.6%
Drive Parry2.201.80+0.40
Throw parries0.100.22-0.12
Drive Reversal0.100.20-0.10
Got thrown2.102.01+0.09
Drive Impact0.100.19-0.09
Perfect Parry0.600.69-0.09
Stuns landed0.000.07-0.07
Got Punish Countered0.000.06-0.06
Got stunned0.000.06-0.06
Time cornered8.708.74-0.04
Throw techs0.400.37+0.03
Punish Counters landed0.100.08+0.02
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 · 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 · reference 0.06
  2. Give each meter spend a purpose

    SA2: profile 4.9% · 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 4.9% · reference 26%
    • Drive Arts: profile 6.8% · reference 16.7%
    • Drive Rush (parry): profile 4.1% · reference 7.6%
  3. Trace how you lose or gain space

    Corner pressure: profile 11.2 · reference 13.55

    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 11.2 · reference 13.55
    • Time cornered: profile 8.7 · 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 4, 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
  2. Use matchup records as scouting leads

    vs Char 253: 238 wins in 492 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: 238 wins in 492 games
    • vs Ken: 61 wins in 103 games
    • vs Alex: 52 wins in 102 games
  3. Separate a tendency from a one-off event

    Recent stored ranked sample: 23 wins in 50 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: 23 wins in 50 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 4, 2026 · AI: dots-studio/dots-3-note-preview:free

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