Zangief
Updated 1 week agoSteamSteamJapanJapanClub · nullC100%

ゆうくんママ

A Man's Peaceful Passing
Rank 32
LP 20,992
Last 108–2Last 2015–5
Winrate
72%
26W · 10L · 36 stored
Ranked matches
36
selected mode
Wins
26
Ranked
Losses
10
Ranked
Peak LP
21,813
Zangief

Ranked LP · Zangief

League points over time for this character

Latest game

VictoryRanked

Replay not requested
Zangief
ゆうくんママ · Zangief
A.K.I.
Opponent · A.K.I.村井和希

Playstyle reference

Habits vs top 30 Zangief

Benchmark refreshed Sep 15, 2026, 4:22 AM

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

Zangief
ゆうくんママ’s Zangief benchmark

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

海底撈月 2244 · めんたらこ 2215 · ザンギ太郎 2207 · Junior 2200 · kobayan 2184 · +25 others

Largest absolute differences first23 habits
HabitゆうくんママLegendsDifference LessLegendsMore
Drive Rush (cancel)0.0%34.2%-34.2%
CA31.6%10.1%+21.5%
SA15.3%25.3%-20.1%
SA215.8%35.4%-19.6%
SA347.4%29.2%+18.2%
Drive Rush (parry)16.7%7.9%+8.8%
Drive Arts18.9%13.0%+5.9%
Drive Guard19.9%14.4%+5.6%
Corner pressure2.306.47-4.17
Time cornered7.1010.73-3.63
Drive Parry0.502.03-1.53
Got thrown3.102.43+0.67
Perfect Parry0.100.75-0.65
Drive Reversal0.000.50-0.50
Drive Impact gauge1.7%2.1%-0.4%
Throws3.002.71+0.29
Punish Counters landed0.000.18-0.18
Drive Impact0.100.25-0.15
Throw parries0.100.24-0.14
Got stunned0.000.08-0.08
Stuns landed0.000.07-0.07
Got Punish Countered0.200.14+0.06
Throw techs0.600.61-0.01
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.

Zangief · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.1 · reference 0.27

    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 0.1 · reference 0.27
    • Drive Impact gauge: profile 1.7% · reference 2.1%
  2. Trace how you lose or gain space

    Corner pressure: profile 2.3 · reference 6.66

    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 2.3 · reference 6.66
    • Time cornered: profile 7.1 · reference 10.28
  3. Give each meter spend a purpose

    SA1: profile 5.3% · reference 21.1%

    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 5.3% · reference 21.1%
    • SA2: profile 15.8% · reference 36.6%
    • SA3: profile 47.4% · reference 30.6%

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 0.1 · reference 0.27

    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 0.1 · reference 0.27
    • Drive Impact gauge: profile 1.7% · reference 2.1%
  2. Probe defense before committing

    Drive Parry: profile 0.5 · reference 2.09

    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 0.5 · reference 2.09
    • Perfect Parry: profile 0.1 · reference 0.77
    • Drive Reversal: profile 0 · reference 0.42
  3. Test the close-range pattern

    Throws: profile 3 · reference 2.51

    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 · reference 2.51
    • Throw techs: profile 0.6 · reference 0.57
    • Got thrown: profile 3.1 · reference 2.32

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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