Zangief
Updated 1 week agoCrossPlatformCrossPlatformJapanJapanC100%

ワンワン

Let's Do This
Rank 30LP 18,599
Last 107–3Last 2012–8
Winrate
50%
58W · 58L · 116 stored
Ranked matches
116
selected mode
Wins
58
Ranked
Losses
58
Ranked
Peak LP
18,898
Zangief

Ranked LP · Zangief

League points over time for this character

Latest game

DefeatRanked

Replay not requested
Zangief
ワンワン · Zangief
Akuma
Opponent · Akumaおき攻め投げ抜けラッシュ練習中

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
ワンワン’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
HabitワンワンLegendsDifference LessLegendsMore
Drive Rush (cancel)0.0%35.2%-35.2%
SA24.4%36.6%-32.2%
SA360.0%30.6%+29.4%
CA33.3%11.7%+21.7%
SA12.2%21.1%-18.9%
Drive Arts28.5%12.9%+15.7%
Drive Impact gauge12.2%2.1%+10.0%
Corner pressure4.306.66-2.36
Drive Guard12.5%14.6%-2.1%
Drive Parry0.802.09-1.29
Time cornered9.0010.28-1.28
Throws3.702.51+1.19
Drive Impact1.000.27+0.73
Perfect Parry0.100.77-0.67
Got thrown2.902.32+0.58
Got Punish Countered0.600.13+0.47
Drive Rush (parry)8.4%7.9%+0.5%
Drive Reversal0.000.42-0.42
Punish Counters landed0.500.19+0.31
Throw parries0.100.20-0.10
Stuns landed0.000.08-0.08
Throw techs0.500.57-0.07
Got stunned0.000.07-0.07
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 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 1 · reference 0.27
    • Drive Impact gauge: profile 12.2% · reference 2.1%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.5 · reference 0.19

    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 0.5 · reference 0.19
    • Got Punish Countered: profile 0.6 · reference 0.13
  3. Give each meter spend a purpose

    SA3: profile 60% · reference 30.6%

    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
    • SA3: profile 60% · reference 30.6%
    • CA: profile 33.3% · reference 11.7%

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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs JP: 4 wins in 18 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 JP: 4 wins in 18 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 46 wins in 100 games

    Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

    Try this

    Use the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.

    Supporting stats
    • Recent stored ranked sample: 46 wins in 100 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

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