Mai
Updated 7 days agoSteamSteamJapanJapanClub · taiheiSF6C100%

mermet

Fashionable Youth
Rank 36MR 1,439#446,496
Last 102–8-41Last 207–13-40
Winrate
42%
24W · 33L · 57 stored
Ranked matches
57
selected mode
Wins
24
Ranked
Losses
33
Ranked
Peak MR
1,485
Mai

Ranked MR · Mai

56 local · 0 imported · 56 on chart · 148 battles stored

Latest game

DefeatRanked

Replay not requested
Sagat
mermet · Sagat
Ryu
Opponent · RyuGEAR BLUES

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
mermet’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
HabitmermetLegendsDifference LessLegendsMore
Drive Arts11.6%22.7%-11.2%
Drive Rush (cancel)40.4%29.4%+11.1%
SA149.0%54.6%-5.5%
SA324.0%18.6%+5.4%
Drive Guard16.5%13.4%+3.0%
CA9.6%6.6%+3.0%
SA217.3%20.2%-2.9%
Drive Rush (parry)4.8%7.5%-2.7%
Corner pressure11.3012.99-1.69
Drive Parry3.301.87+1.43
Throws3.602.49+1.11
Drive Impact gauge2.4%1.3%+1.1%
Time cornered8.409.32-0.92
Throw techs0.700.46+0.24
Drive Reversal0.000.19-0.19
Got thrown2.102.23-0.13
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
Perfect Parry0.700.70+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.

Ryu · Latest 100

What to improve

  1. Find the cause of punish events

    Got Punish Countered: profile 0.1 · reference 0.07

    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 0.07
    • Punish Counters landed: profile 0.1 · reference 0.08
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.2 · reference 0.16

    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 0.2 · reference 0.16
    • Drive Impact gauge: profile 2.4% · reference 1.1%
  3. Review close-range choices

    Throws: profile 3.6 · reference 2.2

    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
    • Throws: profile 3.6 · reference 2.2
    • Throw techs: profile 0.7 · reference 0.44
    • Got thrown: profile 2.1 · reference 2.06

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: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.2 · reference 0.16

    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 0.2 · reference 0.16
    • Drive Impact gauge: profile 2.4% · reference 1.1%
  2. Test the close-range pattern

    Throws: profile 3.6 · reference 2.2

    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 3.6 · reference 2.2
    • Throw techs: profile 0.7 · reference 0.44
    • Got thrown: profile 2.1 · reference 2.06
  3. Probe defense before committing

    Drive Parry: profile 3.3 · 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 3.3 · reference 1.69
    • Perfect Parry: profile 0.7 · reference 0.71

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: nex-agi/nex-n2.5-pro:free

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