Zangief
Updated 7 days agoSteamSteamJapanJapanC100%

tlow1301

Let's Change the World
Rank 36MR 1,708#23,073
Last 107–3+31Last 2014–6+55
Winrate
51%
52W · 49L · 101 stored
Ranked matches
101
selected mode
Wins
52
Ranked
Losses
49
Ranked
Peak MR
1,777
Zangief

Ranked MR · Zangief

101 local · 0 imported · 101 on chart · 101 battles stored

Latest game

VictoryRanked

Replay not requested
Zangief
tlow1301 · Zangief
Marisa
Opponent · Marisaますきち

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
tlow1301’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
Habittlow1301LegendsDifference LessLegendsMore
CA70.8%11.7%+59.2%
SA20.0%36.6%-36.6%
Drive Rush (cancel)6.5%35.2%-28.7%
SA14.2%21.1%-17.0%
Drive Arts19.6%12.9%+6.7%
SA325.0%30.6%-5.6%
Drive Impact gauge5.7%2.1%+3.6%
Drive Rush (parry)10.6%7.9%+2.6%
Drive Guard12.6%14.6%-2.0%
Drive Parry0.602.09-1.49
Corner pressure5.206.66-1.46
Time cornered9.5010.28-0.78
Perfect Parry0.100.77-0.67
Throws2.102.51-0.41
Drive Reversal0.800.42+0.38
Drive Impact0.600.27+0.33
Got thrown2.102.32-0.22
Got Punish Countered0.300.13+0.17
Throw techs0.700.57+0.13
Throw parries0.100.20-0.10
Got stunned0.100.07+0.03
Stuns landed0.100.08+0.02
Punish Counters landed0.200.19+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. Review defensive decisions

    Drive Parry: profile 0.8 · reference 2.09

    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
    • Drive Parry: profile 0.8 · reference 2.09
    • Perfect Parry: profile 0.1 · reference 0.77
    • Drive Reversal: profile 0.9 · reference 0.42
  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 0.2 · reference 0.19
  3. Give each meter spend a purpose

    SA2: profile 0% · reference 36.6%

    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
    • SA2: profile 0% · reference 36.6%
    • CA: profile 56% · reference 11.7%
    • SA1: profile 12% · reference 21.1%

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 Luke: 53 wins in 97 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: 53 wins in 97 games
    • vs Alex: 28 wins in 71 games
    • vs Yasmine: 42 wins in 68 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 25 wins in 57 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: 25 wins in 57 games
  3. Test the Drive Impact tendency

    Drive Impact: profile 0.5 · 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 0.5 · reference 0.27
    • Drive Impact gauge: profile 5.2% · reference 2.1%

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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