Luke
Updated 2 hours agoSteamSteamJapanJapanClub · hiroyosiKingdomC100%

watyawacha

GG
Rank 36MR 2,159#140
Last 106–4+11Last 2010–10-10
Winrate
57%
209W · 159L · 368 stored
Ranked matches
368
selected mode
Wins
209
Ranked
Losses
159
Ranked
Peak MR
2,361
Luke

Ranked MR · Luke

719 local · 1760 imported · 2228 on chart · 958 battles stored

Latest game

VictoryRanked

Replay not requested
Luke
watyawacha · Luke
Luke
Opponent · Lukeコウキ_ルーク使いの人

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
watyawacha’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
HabitwatyawachaLegendsDifference LessLegendsMore
SA346.3%34.2%+12.1%
SA214.9%26.0%-11.1%
SA122.4%30.6%-8.3%
CA16.4%9.2%+7.3%
Drive Rush (cancel)31.4%37.3%-5.9%
Drive Arts19.8%16.7%+3.1%
Drive Rush (parry)8.7%7.6%+1.1%
Drive Guard14.1%13.2%+0.9%
Throws3.102.43+0.67
Corner pressure14.1013.55+0.55
Got thrown2.302.01+0.29
Time cornered8.508.74-0.24
Perfect Parry0.800.69+0.11
Drive Reversal0.300.20+0.10
Throw parries0.300.22+0.08
Stuns landed0.000.07-0.07
Got stunned0.000.06-0.06
Drive Impact gauge1.4%1.4%-0.0%
Got Punish Countered0.100.06+0.04
Throw techs0.400.37+0.03
Punish Counters landed0.100.08+0.02
Drive Impact0.200.19+0.01
Drive Parry1.801.80-0.00
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

    Punish Counters landed: profile 0 · 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 · reference 0.08
    • Got Punish Countered: profile 0 · reference 0.06
  2. Review defensive decisions

    Drive Parry: profile 1.1 · reference 1.8

    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 Parry: profile 1.1 · reference 1.8
    • Perfect Parry: profile 0.6 · reference 0.69
    • Drive Reversal: profile 0.1 · reference 0.2
  3. Give each meter spend a purpose

    SA1: profile 22.8% · reference 30.6%

    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
    • SA1: profile 22.8% · reference 30.6%
    • SA2: profile 21.5% · reference 26%
    • SA3: profile 44.3% · reference 34.2%

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 8, 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
    • Drive Impact gauge: profile 0.8% · reference 1.4%
  2. Test the close-range pattern

    Throws: profile 3.1 · reference 2.43

    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
    • Throws: profile 3.1 · reference 2.43
    • Got thrown: profile 2.4 · reference 2.01
  3. Build pressure without overextending

    Corner pressure: profile 15.1 · 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 15.1 · reference 13.55
    • Time cornered: profile 10.1 · 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 8, 2026 · AI: dots-studio/dots-3-note-preview:free