Yasmine
Updated 14 hours agoSteamSteamJapanJapanC100%

nomuyogrt

Let's Do This
Rank 35LP 24,383
Last 103–7Last 208–12
Winrate
48%
48W · 53L · 101 stored
Ranked matches
101
selected mode
Wins
48
Ranked
Losses
53
Ranked
Peak LP
24,543
Yasmine

Ranked LP · Yasmine

League points over time for this character

Latest game

DefeatRanked

Replay not requested
Yasmine
nomuyogrt · Yasmine
Sagat
Opponent · SagatWelt

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
nomuyogrt’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
HabitnomuyogrtLegendsDifference LessLegendsMore
SA111.3%32.1%-20.7%
Drive Rush (cancel)45.1%29.6%+15.5%
SA350.9%36.9%+14.0%
CA22.6%10.0%+12.6%
SA215.1%21.0%-5.9%
Drive Guard8.9%14.5%-5.6%
Drive Rush (parry)2.7%8.2%-5.5%
Drive Arts15.0%19.0%-4.0%
Corner pressure10.7013.62-2.92
Time cornered8.209.38-1.18
Throws3.002.59+0.41
Got thrown2.602.31+0.29
Throw techs0.200.49-0.29
Perfect Parry0.500.74-0.24
Drive Reversal0.000.24-0.24
Drive Parry2.201.96+0.24
Drive Impact gauge1.2%1.4%-0.2%
Throw parries0.100.21-0.11
Drive Impact0.100.19-0.09
Got stunned0.000.06-0.06
Stuns landed0.000.06-0.06
Got Punish Countered0.100.06+0.04
Punish Counters landed0.100.09+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.

Yasmine · Latest 100

What to improve

  1. Find the cause of punish events

    Got Punish Countered: profile 0.1 · 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 0.1 · reference 0.06
    • Punish Counters landed: profile 0.2 · reference 0.09
  2. Review close-range choices

    Got thrown: profile 3 · reference 2.31

    Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.

    Try this

    Replay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.

    Supporting stats
    • Got thrown: profile 3 · reference 2.31
    • Throws: profile 3.4 · reference 2.59
  3. Review defensive decisions

    Drive Parry: profile 0.8 · reference 1.96

    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 0.8 · reference 1.96
    • Perfect Parry: profile 0.2 · reference 0.74
    • Drive Reversal: profile 0 · 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 8, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. 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
    • Punish Counters landed: profile 0.2 · reference 0.09
  2. Test the close-range pattern

    Got thrown: profile 3 · reference 2.31

    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 · reference 2.31
    • Throws: profile 3.4 · reference 2.59
  3. Probe defense before committing

    Drive Parry: profile 0.8 · reference 1.96

    Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.

    Try this

    Try your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.

    Supporting stats
    • Drive Parry: profile 0.8 · reference 1.96
    • Perfect Parry: profile 0.2 · reference 0.74
    • Drive Reversal: profile 0 · 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 8, 2026 · AI: nex-agi/nex-n2.5-pro:free

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