Cammy
Updated 8 hours agoSteamSteamJapanJapanClub · DuckLoversM100%

katsuki_m

Lightning Quick
Rank 34LP 22,620
Last 105–5Last 209–11
Winrate
37%
64W · 107L · 171 stored
Ranked matches
171
selected mode
Wins
64
Ranked
Losses
107
Ranked
Peak LP
23,137
Cammy

Ranked LP · Cammy

League points over time for this character

Latest game

VictoryRanked

Replay not requested
Cammy
katsuki_m · Cammy
Juri
Opponent · Juritera

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
katsuki_m’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
Habitkatsuki_mLegendsDifference LessLegendsMore
Drive Rush (cancel)15.0%40.7%-25.7%
Drive Arts38.1%16.8%+21.2%
CA26.4%9.3%+17.1%
SA133.0%43.6%-10.6%
Drive Impact gauge11.3%1.3%+10.0%
SA29.9%16.0%-6.1%
Corner pressure7.3012.91-5.61
Drive Guard6.7%10.1%-3.4%
Time cornered7.308.80-1.50
Throws3.802.43+1.37
Drive Parry0.401.56-1.16
Drive Rush (parry)4.5%5.2%-0.7%
Got Punish Countered0.800.06+0.74
Drive Impact0.800.16+0.64
Perfect Parry0.100.54-0.44
Punish Counters landed0.500.09+0.41
SA330.8%31.2%-0.4%
Throw techs0.100.35-0.25
Got thrown1.902.13-0.23
Drive Reversal0.400.18+0.22
Stuns landed0.000.07-0.07
Got stunned0.100.04+0.06
Throw parries0.200.25-0.05
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. Find the cause of punish events

    Got Punish Countered: profile 0.8 · 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 0.8 · reference 0.06
    • Punish Counters landed: profile 0.5 · reference 0.09
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.8 · 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 0.8 · reference 0.16
    • Drive Impact gauge: profile 11.3% · reference 1.3%
  3. Study a recurring matchup situation

    vs Mai: 32 wins in 97 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 Mai: 32 wins in 97 games
    • vs Terry: 42 wins in 114 games
    • vs C. Viper: 27 wins in 66 games

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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.8 · 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 0.8 · reference 0.16
    • Drive Impact gauge: profile 11.3% · reference 1.3%
  2. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.5 · 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 0.5 · reference 0.09
    • Got Punish Countered: profile 0.8 · reference 0.06
  3. Test the close-range pattern

    Throws: profile 3.8 · reference 2.43

    Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

    Try this

    If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

    Supporting stats
    • Throws: profile 3.8 · reference 2.43
    • Throw techs: profile 0.1 · reference 0.35
    • Got thrown: profile 1.9 · reference 2.13

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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free

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