Yasmine
Updated 6 hours agoCrossPlatformCrossPlatformJapanJapanClub · NekoCafeC100%

@chaho

Gentle Soul
Rank 36MR 1,265#614,551
Last 107–3+39Last 2013–7+56
Winrate
52%
69W · 63L · 132 stored
Ranked matches
132
selected mode
Wins
69
Ranked
Losses
63
Ranked
Peak MR
1,383
Yasmine

Ranked MR · Yasmine

118 local · 0 imported · 118 on chart · 187 battles stored

Latest game

VictoryRanked

Replay not requested
Yasmine
@chaho · Yasmine
C. Viper
Opponent · C. ViperFurati

Playstyle reference

Habits vs top 30 Yasmine

Benchmark refreshed Sep 2, 2026, 7:16 PM

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

Yasmine
@chaho’s Yasmine benchmark

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

Hand Me Downs 2122 · H1ghscor3 2121 · ゆーけー 2101 · SGN|totoro222 2100 · naruo 2093 · +25 others

Largest absolute differences first23 habits
Habit@chahoLegendsDifference LessLegendsMore
Drive Rush (cancel)42.5%29.6%+12.9%
SA119.6%32.1%-12.5%
Drive Guard5.9%14.5%-8.6%
SA227.2%21.0%+6.2%
CA15.2%10.0%+5.2%
Drive Rush (parry)4.5%8.2%-3.7%
Corner pressure10.1013.62-3.52
Drive Arts21.8%19.0%+2.8%
Time cornered6.909.38-2.48
Drive Parry0.201.96-1.76
Throws3.902.59+1.31
SA338.0%36.9%+1.1%
Perfect Parry0.000.74-0.74
Drive Impact gauge1.0%1.4%-0.5%
Throw techs0.200.49-0.29
Drive Reversal0.000.24-0.24
Got Punish Countered0.200.06+0.14
Punish Counters landed0.000.09-0.09
Drive Impact0.100.19-0.09
Stuns landed0.000.06-0.06
Got stunned0.100.06+0.04
Throw parries0.200.21-0.01
Got thrown2.302.31-0.01
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.

Yasmine · Latest 100

What to improve

  1. Review defensive decisions

    Drive Reversal: profile 0 · reference 0.24

    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 0.24
    • Perfect Parry: profile 0.1 · reference 0.74
    • Drive Parry: profile 0.5 · reference 1.96
  2. Find the cause of punish events

    Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.06
    • Punish Counters landed: profile 0.1 · reference 0.09
  3. Give each meter spend a purpose

    SA2: profile 6.1% · reference 21%

    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 6.1% · reference 21%
    • SA1: profile 12.1% · reference 32.1%
    • SA3: profile 62.1% · reference 36.9%

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. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.06
  2. 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 1.5% · reference 1.4%
  3. Test the close-range pattern

    Throws: profile 3.7 · 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 3.7 · reference 2.59
    • Got thrown: profile 1.8 · reference 2.31
    • Throw techs: profile 0.2 · reference 0.49

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

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