Mai
Updated 7 days agoSteamSteamJapanJapanClub · MoriToshimichiC100%

京極万太郎

Hmm hm hm...
Rank 36MR 1,606#71,451
Last 104–6-21Last 209–11-22
Winrate
41%
11W · 16L · 27 stored
Ranked matches
27
selected mode
Wins
11
Ranked
Losses
16
Ranked
Peak MR
1,638
Mai

Ranked MR · Mai

27 local · 0 imported · 27 on chart · 27 battles stored

Latest game

DefeatRanked

Replay not requested
Mai
京極万太郎 · Mai
JP
Opponent · JPみずがめ座

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
京極万太郎’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
Habit京極万太郎LegendsDifference LessLegendsMore
SA172.2%54.6%+17.6%
SA210.6%20.2%-9.6%
SA39.9%18.6%-8.7%
Drive Arts15.9%22.7%-6.8%
Time cornered13.309.32+3.98
Drive Guard15.1%13.4%+1.7%
Corner pressure11.5012.99-1.49
Drive Rush (parry)6.1%7.5%-1.4%
Drive Parry2.801.87+0.93
CA7.3%6.6%+0.7%
Drive Impact gauge1.9%1.3%+0.5%
Got thrown2.702.23+0.47
Drive Rush (cancel)28.9%29.4%-0.5%
Perfect Parry0.900.70+0.20
Throw techs0.600.46+0.14
Drive Reversal0.300.19+0.11
Punish Counters landed0.200.10+0.10
Throws2.402.49-0.09
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
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 0.2 · 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 0.2 · reference 0.11
    • Got Punish Countered: 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 1.9% · reference 1.2%
  3. Review defensive decisions

    Drive Reversal: profile 0.3 · reference 0.15

    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 Reversal: profile 0.3 · reference 0.15
    • Drive Parry: profile 2.8 · reference 1.69
    • Perfect Parry: profile 0.9 · reference 0.67

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. Probe defense before committing

    Drive Reversal: profile 0.3 · reference 0.15

    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 Reversal: profile 0.3 · reference 0.15
    • Drive Parry: profile 2.8 · reference 1.69
    • Perfect Parry: profile 0.9 · reference 0.67
  2. Build pressure without overextending

    Time cornered: profile 13.3 · reference 8.39

    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
    • Time cornered: profile 13.3 · reference 8.39
    • Corner pressure: profile 11.5 · reference 13.38
  3. Use matchup records as scouting leads

    vs Ryu: 13 wins in 26 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.

    Supporting stats
    • vs Ryu: 13 wins in 26 games
    • vs JP: 7 wins in 25 games
    • vs Elena: 13 wins in 22 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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