Zangief
Updated 1 week agoSteamSteamJapanJapanClub · TERAHORNSC96%

釈迦釈迦チキン

Down for SUSHIRO
Rank 36MR 1,768#13,315
Last 104–6-18Last 2011–9+7
Winrate
54%
37W · 31L · 68 stored
Ranked matches
68
selected mode
Wins
37
Ranked
Losses
31
Ranked
Peak MR
1,798
Zangief

Ranked MR · Zangief

68 local · 0 imported · 68 on chart · 84 battles stored

Latest game

VictoryCustom Room

Replay not requested
Zangief
釈迦釈迦チキン · Zangief
Juri
Opponent · JuriKDie629@PC

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
釈迦釈迦チキン’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釈迦釈迦チキンLegendsDifference LessLegendsMore
Drive Arts18.5%13.0%+5.4%
Drive Rush (cancel)29.1%34.2%-5.2%
SA120.5%25.3%-4.8%
SA333.7%29.2%+4.5%
SA239.8%35.4%+4.3%
CA6.0%10.1%-4.0%
Corner pressure9.206.47+2.73
Time cornered9.4010.73-1.33
Drive Rush (parry)6.8%7.9%-1.0%
Drive Parry2.902.03+0.87
Drive Guard15.0%14.4%+0.6%
Throw techs0.200.61-0.41
Perfect Parry1.100.75+0.35
Got thrown2.102.43-0.33
Drive Reversal0.800.50+0.30
Drive Impact gauge1.9%2.1%-0.2%
Throw parries0.100.24-0.14
Punish Counters landed0.100.18-0.08
Got Punish Countered0.200.14+0.06
Drive Impact0.200.25-0.05
Stuns landed0.100.07+0.03
Got stunned0.100.08+0.02
Throws2.702.71-0.01
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. Find the cause of punish events

    Punish Counters landed: profile 0.1 · 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 0.1 · reference 0.19
    • Got Punish Countered: profile 0.2 · reference 0.13
  2. Review close-range choices

    Throw techs: profile 0.2 · reference 0.57

    Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.

    Try this

    Replay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.

    Supporting stats
    • Throw techs: profile 0.2 · reference 0.57
    • Got thrown: profile 2.1 · reference 2.32
  3. Give each meter spend a purpose

    SA1: profile 20.5% · 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 20.5% · reference 21.1%
    • SA2: profile 39.8% · reference 36.6%
    • SA3: profile 33.7% · 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. Test the Drive Impact tendency

    Drive Impact: profile 0.2 · 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 0.2 · reference 0.27
    • Drive Impact gauge: profile 1.9% · reference 2.1%
  2. Probe defense before committing

    Perfect Parry: profile 1.1 · reference 0.77

    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
    • Perfect Parry: profile 1.1 · reference 0.77
    • Drive Parry: profile 2.9 · reference 2.09
  3. Build pressure without overextending

    Corner pressure: profile 9.2 · reference 6.66

    Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.

    Try this

    Test one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.

    Supporting stats
    • Corner pressure: profile 9.2 · reference 6.66
    • Time cornered: profile 9.4 · reference 10.28

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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