Yasmine
Updated 15 hours agoSteamSteamJapanJapanC100%

ぷんぷんパンダ

Let's Do This
Rank 36MR 2,168#120
Last 109–1+47Last 2016–4+76
Winrate
62%
95W · 58L · 153 stored
Ranked matches
153
selected mode
Wins
95
Ranked
Losses
58
Ranked
Peak MR
2,168
Yasmine

Ranked MR · Yasmine

150 local · 2 imported · 152 on chart · 153 battles stored

Latest game

VictoryRanked

Replay not requested
Yasmine
ぷんぷんパンダ · Yasmine
Elena
Opponent · Elenaうにめる

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
ぷんぷんパンダ’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ぷんぷんパンダLegendsDifference LessLegendsMore
SA27.5%21.0%-13.5%
SA346.3%36.9%+9.3%
CA14.9%10.0%+4.9%
Drive Rush (parry)9.7%8.2%+1.5%
Drive Arts17.8%19.0%-1.3%
Drive Rush (cancel)30.8%29.6%+1.2%
Time cornered8.309.38-1.08
Drive Guard15.4%14.5%+0.9%
Corner pressure14.4013.62+0.78
Drive Impact gauge0.7%1.4%-0.8%
SA131.3%32.1%-0.7%
Got thrown2.002.31-0.31
Drive Parry1.801.96-0.16
Perfect Parry0.600.74-0.14
Drive Reversal0.100.24-0.14
Throws2.702.59+0.11
Throw techs0.400.49-0.09
Drive Impact0.100.19-0.09
Got Punish Countered0.000.06-0.06
Stuns landed0.000.06-0.06
Got stunned0.100.06+0.04
Throw parries0.200.21-0.01
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. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.1 · 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 0.1 · reference 0.19
    • Drive Impact gauge: profile 0.7% · reference 1.4%
  2. Study a recurring matchup situation

    vs Char 253: 721 wins in 1,314 games

    Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.

    Try this

    Pick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.

    Supporting stats
    • vs Char 253: 721 wins in 1,314 games
    • vs Luke: 66 wins in 112 games
  3. Compare decisions across wins and losses

    Recent stored ranked sample: 63 wins in 100 games

    Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.

    Try this

    Write down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.

    Supporting stats
    • Recent stored ranked sample: 63 wins in 100 games

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 11, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Separate a tendency from a one-off event

    Recent stored ranked sample: 63 wins in 100 games

    Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

    Try this

    Use the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.

    Supporting stats
    • Recent stored ranked sample: 63 wins in 100 games

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 11, 2026 · AI: nex-agi/nex-n2.5-mini:free

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