Chun-Li
Updated 6 hours agoSteamSteamOtherOtherC100%

宇宙CQC

3 Years With Street Fighter 6
Rank 36MR 1,606#79,125
Last 107–3+27Last 209–90
Winrate
50%
9W · 9L · 18 stored
Ranked matches
18
selected mode
Wins
9
Ranked
Losses
9
Ranked
Peak MR
1,606
Chun-Li

Ranked MR · Chun-Li

18 local · 0 imported · 18 on chart · 18 battles stored

Latest game

VictoryRanked

Replay not requested
Chun-Li
宇宙CQC · Chun-Li
Akuma
Opponent · Akuma9527

Playstyle reference

Habits vs top 30 Chun-Li

Benchmark refreshed Sep 14, 2026, 10:23 PM

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

Chun-Li
宇宙CQC’s Chun-Li benchmark

Compared with the average habits of the top 30 sampled Chun-Li players.

HAITANI 2263 · Seiya 2244 · ドドガマル_pc 2209 · YOKOHAMA_TARO 2152 · leith 2147 · +25 others

Largest absolute differences first23 habits
Habit宇宙CQCLegendsDifference LessLegendsMore
SA125.5%33.0%-7.5%
SA237.2%32.6%+4.7%
Drive Rush (cancel)39.6%43.1%-3.5%
Corner pressure9.0012.05-3.05
Drive Rush (parry)7.1%4.5%+2.6%
Drive Arts17.8%15.6%+2.2%
SA327.7%25.9%+1.8%
Drive Impact gauge2.6%1.5%+1.2%
CA9.6%8.5%+1.0%
Drive Parry0.801.61-0.81
Drive Guard8.9%9.6%-0.7%
Perfect Parry0.100.57-0.47
Time cornered8.208.40-0.20
Got thrown1.801.97-0.17
Got Punish Countered0.200.07+0.13
Throws2.402.51-0.11
Drive Reversal0.100.18-0.08
Throw techs0.300.35-0.05
Got stunned0.100.05+0.05
Stuns landed0.100.05+0.05
Drive Impact0.200.17+0.03
Throw parries0.200.22-0.02
Punish Counters landed0.100.10-0.00
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.

Chun-Li · Latest 100

What to improve

  1. Find the cause of punish events

    Got Punish Countered: profile 0.2 · reference 0.09

    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 0.2 · reference 0.09
    • Punish Counters landed: profile 0.1 · reference 0.1
  2. Study a recurring matchup situation

    vs Sagat: 2 wins in 10 games

    Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.

    Try this

    Pick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.

    Supporting stats
    • vs Sagat: 2 wins in 10 games
    • vs Cammy: 6 wins in 16 games
  3. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.2 · reference 0.16

    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 0.2 · reference 0.16
    • Drive Impact gauge: profile 2.6% · reference 1.4%

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 14, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · reference 0.09

    Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.

    Try this

    Test one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.

    Supporting stats
    • Got Punish Countered: profile 0.2 · reference 0.09
    • Punish Counters landed: profile 0.1 · reference 0.1
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.2 · reference 0.16

    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 0.16
    • Drive Impact gauge: profile 2.6% · reference 1.4%
  3. Probe defense before committing

    Drive Parry: profile 0.8 · reference 1.64

    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 0.8 · reference 1.64
    • Perfect Parry: profile 0.1 · reference 0.57
    • Drive Reversal: profile 0.1 · reference 0.17

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 14, 2026 · AI: nex-agi/nex-n2.5-pro:free

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