Yasmine
Updated 7 days agoSteamSteamJapanJapanClub · OshiroDojoC100%

ododod

Let's Do This
Rank 36MR 1,649#44,501
Last 107–3+30Last 2013–7+51
Winrate
55%
53W · 44L · 97 stored
Ranked matches
97
selected mode
Wins
53
Ranked
Losses
44
Ranked
Peak MR
1,721
Yasmine

Ranked MR · Yasmine

97 local · 0 imported · 97 on chart · 97 battles stored

Latest game

VictoryRanked

Replay not requested
Yasmine
ododod · Yasmine
Lily
Opponent · Lilyどどんぱ~

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
ododod’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
HabitodododLegendsDifference LessLegendsMore
SA324.5%35.7%-11.2%
SA235.1%24.2%+10.9%
Drive Rush (cancel)19.7%29.7%-10.0%
CA12.8%9.2%+3.6%
SA127.7%30.9%-3.2%
Time cornered6.609.07-2.47
Drive Impact gauge3.8%1.4%+2.4%
Corner pressure14.4013.01+1.39
Drive Arts18.9%17.5%+1.4%
Drive Rush (parry)9.1%8.4%+0.7%
Perfect Parry0.300.70-0.40
Drive Parry1.501.90-0.40
Throws2.202.52-0.32
Got thrown2.602.34+0.26
Drive Guard14.3%14.5%-0.2%
Drive Reversal0.100.23-0.13
Drive Impact0.300.17+0.13
Stuns landed0.200.08+0.12
Punish Counters landed0.200.10+0.10
Throw techs0.400.48-0.08
Throw parries0.300.23+0.07
Got stunned0.000.06-0.06
Got Punish Countered0.100.06+0.04
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 0.3 · 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 3.8% · reference 1.4%
  2. Find the cause of punish events

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

    SA2: profile 35.1% · 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 35.1% · reference 21%
    • SA3: profile 24.5% · reference 36.9%
    • CA: profile 12.8% · reference 10%

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. Test the Drive Impact tendency

    Drive Impact: profile 0.3 · 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 0.3 · reference 0.19
    • Drive Impact gauge: profile 3.8% · reference 1.4%
  2. Probe defense before committing

    Perfect Parry: profile 0.3 · reference 0.74

    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
    • Perfect Parry: profile 0.3 · reference 0.74
    • Drive Reversal: profile 0.1 · reference 0.24
    • Drive Parry: profile 1.5 · reference 1.96
  3. Build pressure without overextending

    Corner pressure: profile 14.4 · reference 13.62

    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
    • Corner pressure: profile 14.4 · reference 13.62
    • Time cornered: profile 6.6 · reference 9.38

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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