Cammy
Updated 14 hours agoSteamSteamJapanJapanClub · nizikaiC100%

KAN_95

You've Got This, Juri!
Rank 36MR 1,519#193,815
Last 106–4+15Last 2012–8+28
Winrate
49%
38W · 39L · 77 stored
Ranked matches
77
selected mode
Wins
38
Ranked
Losses
39
Ranked
Peak MR
1,551
Cammy

Ranked MR · Cammy

75 local · 0 imported · 75 on chart · 162 battles stored

Latest game

VictoryCustom Room

Replay not requested
Terry
KAN_95 · Terry
Alex
Opponent · Alexrepu

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
KAN_95’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
HabitKAN_95LegendsDifference LessLegendsMore
SA160.9%43.6%+17.3%
SA320.9%31.2%-10.3%
SA29.1%16.0%-6.9%
Drive Arts12.0%16.8%-4.9%
Time cornered5.608.80-3.20
Drive Rush (cancel)43.2%40.7%+2.4%
Drive Rush (parry)7.1%5.2%+1.9%
Drive Guard11.9%10.1%+1.8%
Corner pressure14.6012.91+1.69
Throws3.002.43+0.57
Perfect Parry0.300.54-0.24
Drive Impact gauge1.0%1.3%-0.2%
CA9.1%9.3%-0.2%
Drive Reversal0.000.18-0.18
Got thrown2.002.13-0.13
Stuns landed0.000.07-0.07
Drive Impact0.100.16-0.06
Got Punish Countered0.000.06-0.06
Drive Parry1.501.56-0.06
Throw parries0.200.25-0.05
Throw techs0.400.35+0.05
Got stunned0.000.04-0.04
Punish Counters landed0.100.09+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.

Cammy · Latest 100

What to improve

  1. Review defensive decisions

    Perfect Parry: profile 0.3 · reference 0.54

    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 0.54
    • Drive Parry: profile 1.5 · reference 1.56
    • Drive Reversal: profile 0 · reference 0.18
  2. Give each meter spend a purpose

    SA2: profile 9.1% · reference 16%

    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 9.1% · reference 16%
    • SA3: profile 20.9% · reference 31.2%
    • CA: profile 9.1% · reference 9.3%
  3. Review close-range choices

    Throws: profile 3 · reference 2.43

    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 3 · reference 2.43
    • Got thrown: profile 2 · reference 2.13
    • Throw techs: profile 0.4 · reference 0.35

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: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0 · reference 0.06

    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 · reference 0.06
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.1 · 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 0.1 · reference 0.16
    • Drive Impact gauge: profile 1% · reference 1.3%
  3. Build pressure without overextending

    Corner pressure: profile 14.6 · reference 12.91

    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 14.6 · reference 12.91
    • Time cornered: profile 5.6 · reference 8.8

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: dots-studio/dots-3-note-preview:free

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