Yasmine
Updated 5 days agoSteamSteamJapanJapanC100%

shiliyu

Let's Do This
Rank 36MR 1,500#247,915
Last 105–5+1Last 2011–9+20
Winrate
43%
33W · 43L · 76 stored
Ranked matches
76
selected mode
Wins
33
Ranked
Losses
43
Ranked
Peak MR
1,586
Yasmine

Ranked MR · Yasmine

76 local · 0 imported · 76 on chart · 76 battles stored

Latest game

DefeatRanked

Replay not requested
Yasmine
shiliyu · Yasmine
Ed
Opponent · Ed致敬传奇古烈使矢口春雄

Playstyle reference

Habits vs top 30 Yasmine

Benchmark refreshed Sep 14, 2026, 10:26 AM

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

Yasmine
shiliyu’s Yasmine benchmark

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

naruo 2177 · ファイナルあつし 2177 · ぷんぷんパンダ 2168 · 頭痛が痛い 2145 · Hand Me Downs 2143 · +25 others

Largest absolute differences first23 habits
HabitshiliyuLegendsDifference LessLegendsMore
SA211.6%24.2%-12.6%
SA143.0%30.9%+12.1%
CA17.4%9.2%+8.2%
SA327.9%35.7%-7.8%
Drive Guard9.1%14.5%-5.5%
Drive Rush (cancel)33.4%29.7%+3.7%
Drive Impact gauge4.8%1.4%+3.4%
Corner pressure10.1013.01-2.91
Drive Arts20.1%17.5%+2.6%
Drive Parry0.501.90-1.40
Drive Rush (parry)7.2%8.4%-1.2%
Time cornered9.809.07+0.73
Perfect Parry0.100.70-0.60
Throw techs0.100.48-0.38
Drive Impact0.500.17+0.33
Throws2.802.52+0.28
Punish Counters landed0.300.10+0.20
Got stunned0.200.06+0.14
Got Punish Countered0.200.06+0.14
Drive Reversal0.100.23-0.13
Stuns landed0.000.08-0.08
Got thrown2.302.34-0.04
Throw parries0.200.23-0.03
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.

Yasmine · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.4 · 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 0.4 · reference 0.19
    • Drive Impact gauge: profile 4% · reference 1.4%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.3 · reference 0.09

    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 0.3 · reference 0.09
    • Got Punish Countered: profile 0.2 · reference 0.06
  3. Review defensive decisions

    Perfect Parry: profile 0.1 · reference 0.74

    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
    • Perfect Parry: profile 0.1 · reference 0.74
    • Drive Parry: profile 0.5 · reference 1.96
    • Drive Reversal: profile 0.1 · reference 0.24

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 Luke: 65 wins in 128 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 Luke: 65 wins in 128 games
    • vs Yasmine: 63 wins in 114 games
    • vs Ryu: 60 wins in 101 games
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.4 · 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 0.4 · reference 0.19
    • Drive Impact gauge: profile 4% · reference 1.4%
  3. Test the close-range pattern

    Throws: profile 3.3 · reference 2.59

    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 3.3 · reference 2.59
    • Got thrown: profile 2.7 · reference 2.31

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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