Luke
Updated 1 week agoSteamSteamJapanJapanC100%

juichi

Let's Do This
Rank 36MR 1,484#336,363
Last 106–4+23Last 2013–7+59
Winrate
55%
24W · 20L · 44 stored
Ranked matches
44
selected mode
Wins
24
Ranked
Losses
20
Ranked
Peak MR
1,514
Luke

Ranked MR · Luke

44 local · 0 imported · 44 on chart · 44 battles stored

Latest game

VictoryRanked

Replay not requested
Luke
juichi · Luke
Elena
Opponent · Elenaぽんずニキ

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
juichi’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
HabitjuichiLegendsDifference LessLegendsMore
SA136.5%30.6%+5.9%
SA328.6%34.2%-5.6%
Drive Arts12.3%16.7%-4.4%
Drive Rush (cancel)33.9%37.3%-3.5%
Corner pressure10.6013.55-2.95
SA223.8%26.0%-2.2%
CA11.1%9.2%+2.0%
Drive Guard11.9%13.2%-1.3%
Throws1.202.43-1.23
Drive Rush (parry)6.5%7.6%-1.2%
Drive Impact gauge0.9%1.4%-0.5%
Drive Parry1.401.80-0.40
Drive Reversal0.000.20-0.20
Got thrown2.202.01+0.19
Throw techs0.500.37+0.13
Drive Impact0.100.19-0.09
Stuns landed0.000.07-0.07
Time cornered8.808.74+0.06
Got stunned0.100.06+0.04
Got Punish Countered0.100.06+0.04
Throw parries0.200.22-0.02
Punish Counters landed0.100.08+0.02
Perfect Parry0.700.69+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. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.1 · reference 0.17

    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 0.17
    • Drive Impact gauge: profile 0.9% · reference 1.3%
  2. 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 1.4 · reference 1.82
    • Perfect Parry: profile 0.7 · reference 0.71
  3. Trace how you lose or gain space

    Corner pressure: profile 10.6 · 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 10.6 · reference 14.11
    • Time cornered: profile 8.8 · reference 8.66

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. Use matchup records as scouting leads

    vs Char 253: 534 wins in 1,040 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: 534 wins in 1,040 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 18 wins in 36 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: 18 wins in 36 games
  3. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.1 · reference 0.06

    Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.

    Try this

    Test one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.

    Supporting stats
    • Got Punish Countered: profile 0.1 · reference 0.06

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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