Luke
Updated 1 day agoCrossPlatformCrossPlatformJapanJapanC100%

しもつき

Winning is Fun.
Rank 36MR 1,645#50,281
Last 105–5+1Last 2010–10+4
Winrate
56%
44W · 34L · 78 stored
Ranked matches
78
selected mode
Wins
44
Ranked
Losses
34
Ranked
Peak MR
1,653
Luke

Ranked MR · Luke

78 local · 90 imported · 115 on chart · 127 battles stored

Latest game

VictoryRanked

Replay not requested
Luke
しもつき · Luke
Lily
Opponent · Lily涼川リト

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
しもつき’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しもつきLegendsDifference LessLegendsMore
SA219.3%26.9%-7.6%
SA340.9%33.7%+7.2%
Drive Arts11.1%16.3%-5.2%
Time cornered12.308.85+3.45
Corner pressure10.6013.81-3.21
CA12.5%9.4%+3.1%
SA127.3%30.0%-2.7%
Drive Guard11.6%13.7%-2.1%
Got thrown3.102.11+0.99
Drive Rush (cancel)37.8%37.0%+0.8%
Drive Impact gauge2.1%1.4%+0.7%
Drive Parry1.401.87-0.47
Perfect Parry0.300.77-0.47
Drive Rush (parry)7.4%7.7%-0.3%
Drive Impact0.300.20+0.10
Punish Counters landed0.200.10+0.10
Stuns landed0.000.08-0.08
Throws2.302.35-0.05
Throw techs0.500.46+0.04
Got stunned0.100.07+0.03
Drive Reversal0.200.22-0.02
Throw parries0.200.21-0.01
Got Punish Countered0.100.09+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
    • Got Punish Countered: profile 0.1 · reference 0.06
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.3 · reference 0.19

    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 0.3 · reference 0.19
    • Drive Impact gauge: profile 2.1% · reference 1.4%
  3. Trace how you lose or gain space

    Time cornered: profile 12.3 · 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 12.3 · reference 8.74
    • Corner pressure: profile 10.6 · reference 13.55

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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.2 · reference 0.08

    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
    • Punish Counters landed: profile 0.2 · reference 0.08
    • Got Punish Countered: profile 0.1 · reference 0.06
  2. Test the close-range pattern

    Got thrown: profile 3.1 · reference 2.01

    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
    • Got thrown: profile 3.1 · reference 2.01
    • Throw techs: profile 0.5 · reference 0.37
  3. Build pressure without overextending

    Time cornered: profile 12.3 · reference 8.74

    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
    • Time cornered: profile 12.3 · reference 8.74
    • Corner pressure: profile 10.6 · reference 13.55

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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free

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