Cammy
Updated 5 days agoSteamSteamChinaChinaC100%

Liyuu

Are You Even Trying to Win??
Rank 36MR 1,518#188,074
Last 106–4+22Last 2011–9+25
Winrate
56%
24W · 19L · 43 stored
Ranked matches
43
selected mode
Wins
24
Ranked
Losses
19
Ranked
Peak MR
1,518
Cammy

Ranked MR · Cammy

43 local · 0 imported · 43 on chart · 108 battles stored

Latest game

VictoryCasual

Replay not requested
Cammy
Liyuu · Cammy
M. Bison
Opponent · M. Bisontikuwa2024

Playstyle reference

Habits vs top 30 Cammy

Benchmark refreshed Sep 3, 2026, 10:17 PM

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

Cammy
Liyuu’s Cammy benchmark

Compared with the average habits of the top 30 sampled Cammy players.

2BASSA 2205 · infimum00 2161 · Popin 2145 · PC6Akira 2138 · PhenomTheMoose 2129 · +25 others

Largest absolute differences first23 habits
HabitLiyuuLegendsDifference LessLegendsMore
SA24.2%16.0%-11.7%
SA342.4%31.2%+11.2%
Drive Rush (cancel)47.0%40.7%+6.3%
Drive Arts22.2%16.8%+5.4%
Drive Guard5.2%10.1%-4.9%
SA147.5%43.6%+3.9%
Drive Rush (parry)1.5%5.2%-3.7%
CA5.9%9.3%-3.4%
Corner pressure11.6012.91-1.31
Drive Impact gauge2.1%1.3%+0.9%
Time cornered9.508.80+0.70
Got thrown2.602.13+0.47
Drive Impact0.400.16+0.24
Throws2.202.43-0.23
Punish Counters landed0.300.09+0.21
Throw parries0.100.25-0.15
Throw techs0.500.35+0.15
Got Punish Countered0.200.06+0.14
Perfect Parry0.400.54-0.14
Stuns landed0.000.07-0.07
Got stunned0.100.04+0.06
Drive Parry1.501.56-0.06
Drive Reversal0.200.18+0.02
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.

Cammy · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.4 · 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 0.4 · reference 0.16
    • Drive Impact gauge: profile 2.1% · reference 1.3%
  2. Find the cause of punish events

    Got Punish Countered: profile 0.2 · reference 0.06

    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 0.06
  3. Trace how you lose or gain space

    Time cornered: profile 9.5 · reference 8.8

    Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.

    Try this

    Recreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.

    Supporting stats
    • Time cornered: profile 9.5 · reference 8.8
    • Corner pressure: profile 11.6 · reference 12.91

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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Ryu: 50 wins in 94 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 Ryu: 50 wins in 94 games
    • vs Yasmine: 27 wins in 61 games
    • vs Zangief: 37 wins in 59 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 24 wins in 43 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: 24 wins in 43 games
  3. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.3 · 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
    • Punish Counters landed: profile 0.3 · reference 0.09
    • Got Punish Countered: profile 0.2 · reference 0.06

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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free

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