Mai
Updated 5 hours agoSteamSteamSouth KoreaSouth KoreaClub · FxxkingWifiC98%

페그오격겜기원

Because I'm Cute, Obviously!
Rank 36MR 1,849#5,926
Last 105–5+2Last 209–11-12
Winrate
48%
239W · 261L · 500 stored
Ranked matches
500
selected mode
Wins
239
Ranked
Losses
261
Ranked
Peak MR
2,073
Mai

Ranked MR · Mai

1305 local · 12940 imported · 13275 on chart · 1320 battles stored

Latest game

DefeatRanked

Replay not requested
Mai
페그오격겜기원 · Mai
Akuma
Opponent · Akumahunhuhun

Playstyle reference

Habits vs top 30 Mai

Benchmark refreshed Sep 13, 2026, 7:18 PM

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

Mai
페그오격겜기원’s Mai benchmark

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

世界無二Ryukichi 2222 · ll Moke ll 2183 · Askey 2153 · sngv 2145 · 【ざぶ】 2136 · +25 others

Largest absolute differences first23 habits
Habit페그오격겜기원LegendsDifference LessLegendsMore
SA170.4%54.6%+15.8%
SA38.6%18.6%-10.0%
Drive Rush (cancel)23.2%29.4%-6.2%
Drive Arts28.2%22.7%+5.5%
CA3.7%6.6%-2.9%
SA217.3%20.2%-2.9%
Corner pressure10.9012.99-2.09
Drive Guard11.4%13.4%-2.0%
Drive Rush (parry)5.8%7.5%-1.6%
Got thrown2.802.23+0.57
Throw techs1.000.46+0.54
Drive Impact gauge0.9%1.3%-0.4%
Time cornered8.909.32-0.42
Perfect Parry0.300.70-0.40
Throws2.102.49-0.39
Drive Parry2.001.87+0.13
Drive Reversal0.100.19-0.09
Got stunned0.000.05-0.05
Stuns landed0.100.06+0.04
Throw parries0.300.26+0.04
Got Punish Countered0.100.07+0.03
Drive Impact0.200.19+0.01
Punish Counters landed0.100.10-0.00
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.

Mai · Latest 100

What to improve

  1. Find the cause of punish events

    Punish Counters landed: profile 0 · reference 0.11

    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 · reference 0.11
  2. Review defensive decisions

    Drive Parry: profile 2.1 · reference 1.69

    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 2.1 · reference 1.69
    • Drive Reversal: profile 0.2 · reference 0.15
    • Throw techs: profile 0.6 · reference 0.47
  3. Give each meter spend a purpose

    SA1: profile 73.3% · reference 52.8%

    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
    • SA1: profile 73.3% · reference 52.8%
    • SA2: profile 13.6% · reference 20.8%
    • SA3: profile 10.8% · reference 20.8%

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0 · reference 0.11

    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
    • Punish Counters landed: profile 0 · reference 0.11
  2. Probe defense before committing

    Drive Parry: profile 2.1 · reference 1.69

    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 2.1 · reference 1.69
    • Drive Reversal: profile 0.2 · reference 0.15
    • Throw techs: profile 0.6 · reference 0.47
  3. Adapt to the visible gauge

    SA1: profile 73.3% · reference 52.8%

    Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.

    Try this

    After a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.

    Supporting stats
    • SA1: profile 73.3% · reference 52.8%
    • SA2: profile 13.6% · reference 20.8%
    • SA3: profile 10.8% · reference 20.8%

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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