Zangief
Updated 2 days agoSteamSteamJapanJapanC100%

ketuago

Go Beyond the Battle!
Rank 36MR 1,609#71,830
Last 104–6-17Last 2011–9+20
Winrate
55%
48W · 39L · 87 stored
Ranked matches
87
selected mode
Wins
48
Ranked
Losses
39
Ranked
Peak MR
1,650
Zangief

Ranked MR · Zangief

87 local · 0 imported · 87 on chart · 87 battles stored

Latest game

VictoryRanked

Replay not requested
Zangief
ketuago · Zangief
Ken
Opponent · Kenking-tatsu

Playstyle reference

Habits vs top 30 Zangief

Benchmark refreshed Sep 3, 2026, 1:20 PM

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

Zangief
ketuago’s Zangief benchmark

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

海底撈月 2198 · Junior 2189 · めんたらこ 2163 · kobayan 2137 · cream 2106 · +25 others

Largest absolute differences first23 habits
HabitketuagoLegendsDifference LessLegendsMore
SA351.3%30.6%+20.7%
SA12.6%21.1%-18.6%
Drive Rush (cancel)17.0%35.2%-18.2%
Drive Arts19.2%12.9%+6.3%
Drive Impact gauge7.1%2.1%+5.0%
SA232.1%36.6%-4.6%
Drive Guard11.8%14.6%-2.8%
CA14.1%11.7%+2.4%
Corner pressure4.406.66-2.26
Time cornered9.2010.28-1.08
Drive Parry1.402.09-0.69
Got thrown3.002.32+0.68
Perfect Parry0.100.77-0.67
Throws3.002.51+0.49
Throw techs1.000.57+0.43
Drive Impact0.700.27+0.43
Drive Rush (parry)7.6%7.9%-0.3%
Got Punish Countered0.400.13+0.27
Punish Counters landed0.300.19+0.11
Throw parries0.100.20-0.10
Drive Reversal0.500.42+0.08
Got stunned0.100.07+0.03
Stuns landed0.100.08+0.02
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 0.6 · 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 0.6 · reference 0.27
    • Drive Impact gauge: profile 7% · reference 2.1%
  2. Find the cause of punish events

    Got Punish Countered: profile 0.3 · reference 0.13

    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 0.3 · reference 0.13
    • Punish Counters landed: profile 0.3 · reference 0.19
  3. Give each meter spend a purpose

    SA1: profile 3.8% · 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 3.8% · reference 21.1%
    • SA3: profile 51.9% · 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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Luke: 28 wins in 50 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 Luke: 28 wins in 50 games
    • vs Akuma: 17 wins in 36 games
    • vs Yasmine: 25 wins in 43 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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

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