Mai
Updated 1 day agoSteamSteamAlbaniaAlbaniaClub · SAVERTIGERC100%

京極蘭の部屋

NEW GENERATION
Rank 36MR 1,390#546,009
Last 105–5+4Last 2012–8+34
Winrate
46%
42W · 50L · 92 stored
Ranked matches
92
selected mode
Wins
42
Ranked
Losses
50
Ranked
Peak MR
1,497
Mai

Ranked MR · Mai

92 local · 565 imported · 657 on chart · 92 battles stored

Latest game

VictoryRanked

Replay not requested
Mai
京極蘭の部屋 · Mai
Luke
Opponent · LukeばるさみこPC

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
京極蘭の部屋’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京極蘭の部屋LegendsDifference LessLegendsMore
SA341.1%18.6%+22.5%
Drive Rush (cancel)51.3%29.4%+21.9%
SA136.7%54.6%-17.9%
SA28.9%20.2%-11.3%
Drive Guard4.8%13.4%-8.7%
Drive Arts14.2%22.7%-8.5%
CA13.3%6.6%+6.7%
Drive Rush (parry)2.1%7.5%-5.4%
Drive Impact gauge3.4%1.3%+2.1%
Corner pressure11.0012.99-1.99
Drive Parry0.601.87-1.27
Throws3.202.49+0.71
Perfect Parry0.100.70-0.60
Got thrown2.002.23-0.23
Throw parries0.100.26-0.16
Got Punish Countered0.200.07+0.13
Drive Reversal0.100.19-0.09
Time cornered9.409.32+0.08
Got stunned0.100.05+0.05
Throw techs0.500.46+0.04
Stuns landed0.100.06+0.04
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

    Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.07
  2. Review defensive decisions

    Perfect Parry: profile 0.1 · reference 0.73

    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
    • Perfect Parry: profile 0.1 · reference 0.73
    • Drive Parry: profile 0.6 · reference 1.97
    • Drive Reversal: profile 0.1 · reference 0.18
  3. Give each meter spend a purpose

    Drive Guard: profile 4.8% · reference 13.5%

    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
    • Drive Guard: profile 4.8% · reference 13.5%
    • Drive Rush (parry): profile 2.1% · reference 7.5%

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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · reference 0.07

    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
    • Got Punish Countered: profile 0.2 · reference 0.07
  2. Probe defense before committing

    Perfect Parry: profile 0.1 · reference 0.73

    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 0.1 · reference 0.73
    • Drive Parry: profile 0.6 · reference 1.97
    • Drive Reversal: profile 0.1 · reference 0.18
  3. Adapt to the visible gauge

    Drive Guard: profile 4.8% · reference 13.5%

    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
    • Drive Guard: profile 4.8% · reference 13.5%
    • Drive Rush (parry): profile 2.1% · reference 7.5%

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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free

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