Chun-Li
Updated 4 hours agoCrossPlatformCrossPlatformJapanJapanClub · DoubleFC100%

コダイパンプキン

Conqueror: Azure Kicks
Rank 36MR 1,577#114,544
Last 106–4+14Last 209–11-18
Winrate
51%
35W · 33L · 68 stored
Ranked matches
68
selected mode
Wins
35
Ranked
Losses
33
Ranked
Peak MR
1,628
Chun-Li

Ranked MR · Chun-Li

68 local · 32 imported · 75 on chart · 183 battles stored

Latest game

VictoryRanked

Replay not requested
Chun-Li
コダイパンプキン · Chun-Li
JP
Opponent · JPairon

Playstyle reference

Habits vs top 30 Chun-Li

Benchmark refreshed Sep 3, 2026, 7:25 AM

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

Chun-Li
コダイパンプキン’s Chun-Li benchmark

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

Seiya 2215 · HAITANI 2172 · edamakotoTwitch 2139 · ドドガマル_pc 2136 · YOKOHAMA_TARO 2105 · +25 others

Largest absolute differences first23 habits
HabitコダイパンプキンLegendsDifference LessLegendsMore
SA262.2%31.7%+30.4%
SA34.9%26.2%-21.3%
SA128.0%34.5%-6.4%
Drive Arts10.6%16.9%-6.2%
Drive Rush (cancel)34.1%40.1%-6.1%
Drive Guard14.2%10.2%+4.0%
Drive Rush (parry)8.1%5.0%+3.1%
Corner pressure8.4011.27-2.87
CA4.9%7.6%-2.7%
Got thrown3.802.08+1.72
Time cornered11.109.57+1.53
Throws1.502.39-0.89
Drive Impact gauge1.0%1.4%-0.4%
Perfect Parry0.300.57-0.27
Got Punish Countered0.000.09-0.09
Throw parries0.300.22+0.08
Drive Impact0.100.16-0.06
Got stunned0.100.05+0.05
Drive Parry1.601.64-0.04
Stuns landed0.000.04-0.04
Drive Reversal0.200.17+0.03
Punish Counters landed0.100.10-0.00
Throw techs0.400.40-0.00
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. Review defensive decisions

    Perfect Parry: profile 0.3 · reference 0.57

    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
    • Perfect Parry: profile 0.3 · reference 0.57
    • Drive Parry: profile 1.7 · reference 1.64
  2. Review close-range choices

    Throws: profile 1.6 · reference 2.39

    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
    • Throws: profile 1.6 · reference 2.39
    • Got thrown: profile 4.1 · reference 2.08
  3. Give each meter spend a purpose

    SA2: profile 62.2% · reference 31.7%

    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 62.2% · reference 31.7%
    • SA3: profile 2.7% · reference 26.2%

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. Probe defense before committing

    Got thrown: profile 4.1 · reference 2.08

    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
    • Got thrown: profile 4.1 · reference 2.08
    • Throw techs: profile 0.2 · reference 0.4
  2. Build pressure without overextending

    Corner pressure: profile 7 · reference 11.27

    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 7 · reference 11.27
    • Time cornered: profile 10.5 · reference 9.57
  3. Adapt to the visible gauge

    SA2: profile 62.2% · reference 31.7%

    Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.

    Try this

    After a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.

    Supporting stats
    • SA2: profile 62.2% · reference 31.7%
    • SA3: profile 2.7% · reference 26.2%

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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