Mai
Updated 14 hours agoSteamSteamJapanJapanC100%

今期は長谷川育美三刀流でいく

Out-mash Their DP by One
Rank 36MR 1,173#623,701
Last 104–6-15Last 2010–10-11
Winrate
48%
14W · 15L · 29 stored
Ranked matches
29
selected mode
Wins
14
Ranked
Losses
15
Ranked
Peak MR
1,207
Mai

Ranked MR · Mai

29 local · 0 imported · 29 on chart · 129 battles stored

Latest game

VictoryRanked

Replay not requested
Mai
今期は長谷川育美三刀流でいく · Mai
Juri
Opponent · Juricherry

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
今期は長谷川育美三刀流でいく’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今期は長谷川育美三刀流でいくLegendsDifference LessLegendsMore
SA28.0%20.2%-12.1%
Drive Arts15.0%22.7%-7.7%
SA325.9%18.6%+7.3%
SA159.8%54.6%+5.3%
Drive Impact gauge6.0%1.3%+4.6%
Drive Rush (cancel)32.9%29.4%+3.5%
Drive Guard10.2%13.4%-3.3%
Corner pressure9.8012.99-3.19
Drive Rush (parry)5.3%7.5%-2.2%
Time cornered8.409.32-0.92
Drive Parry1.201.87-0.67
Drive Impact0.700.19+0.51
Perfect Parry0.200.70-0.50
Throws2.902.49+0.41
CA6.3%6.6%-0.4%
Punish Counters landed0.400.10+0.30
Got Punish Countered0.300.07+0.23
Drive Reversal0.000.19-0.19
Got thrown2.402.23+0.17
Throw techs0.300.46-0.16
Got stunned0.100.05+0.05
Stuns landed0.100.06+0.04
Throw parries0.300.26+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.

Mai · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.5 · 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 0.5 · reference 0.19
    • Drive Impact gauge: profile 4.4% · reference 1.4%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.3 · 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 0.3 · reference 0.11
    • Got Punish Countered: profile 0.2 · reference 0.07
  3. Trace how you lose or gain space

    Corner pressure: profile 9.4 · reference 13.25

    Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.

    Try this

    Recreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.

    Supporting stats
    • Corner pressure: profile 9.4 · reference 13.25
    • Time cornered: profile 10.2 · reference 9.06

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: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.5 · 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 0.5 · reference 0.19
    • Drive Impact gauge: profile 4.4% · reference 1.4%
  2. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.3 · 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 0.3 · reference 0.11
    • Got Punish Countered: profile 0.2 · reference 0.07
  3. Probe defense before committing

    Drive Reversal: profile 0 · reference 0.18

    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 · reference 0.18
    • Perfect Parry: profile 0.1 · reference 0.73
    • Drive Parry: profile 1.5 · reference 1.97

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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