Cammy
Updated 1 week agoSteamSteamOtherOtherC100%

otaco

æspa, We Love You
Rank 36MR 1,529#164,053
Last 107–3+28Last 2011–8+20
Winrate
58%
11W · 8L · 19 stored
Ranked matches
19
selected mode
Wins
11
Ranked
Losses
8
Ranked
Peak MR
1,539
Cammy

Ranked MR · Cammy

19 local · 0 imported · 19 on chart · 100 battles stored

Latest game

VictoryCustom Room

Replay not requested
Cammy
otaco · Cammy
Kimberly
Opponent · Kimberlyジュリあきらめた

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
otaco’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
HabitotacoLegendsDifference LessLegendsMore
SA163.2%43.6%+19.7%
SA25.9%16.0%-10.1%
SA325.0%31.2%-6.2%
CA5.9%9.3%-3.4%
Time cornered12.108.80+3.30
Corner pressure9.8012.91-3.11
Got thrown3.402.13+1.27
Drive Impact gauge2.2%1.3%+1.0%
Drive Rush (cancel)41.7%40.7%+0.9%
Drive Guard9.5%10.1%-0.7%
Drive Parry1.201.56-0.36
Throws2.702.43+0.27
Drive Rush (parry)5.0%5.2%-0.2%
Drive Arts17.0%16.8%+0.2%
Drive Impact0.300.16+0.14
Punish Counters landed0.200.09+0.11
Drive Reversal0.100.18-0.08
Got stunned0.100.04+0.06
Throw parries0.200.25-0.05
Throw techs0.400.35+0.05
Got Punish Countered0.100.06+0.04
Perfect Parry0.500.54-0.04
Stuns landed0.100.07+0.03
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

    Punish Counters landed: 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
    • Punish Counters landed: profile 0.2 · reference 0.09
    • Got Punish Countered: profile 0.1 · reference 0.06
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.3 · 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 0.3 · reference 0.16
    • Drive Impact gauge: profile 2.2% · reference 1.3%
  3. Trace how you lose or gain space

    Corner pressure: profile 9.8 · reference 12.91

    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
    • Corner pressure: profile 9.8 · reference 12.91
    • Time cornered: profile 12.1 · 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Char 253: 274 wins in 472 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 Char 253: 274 wins in 472 games
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.3 · 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 0.3 · reference 0.16
    • Drive Impact gauge: profile 2.2% · reference 1.3%
  3. Test the close-range pattern

    Got thrown: profile 3.4 · reference 2.13

    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
    • Got thrown: profile 3.4 · 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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