Calico Cat

Calico Cat — CS2 Stats

JP76561197993788796[U:1:33523068]Steam profile ↗

1,021Tracked matches68%Win rate2023Tracked since
CSDB Rating5.6 Solid
Premier CS Rating8,889Light Blue band · top ~60.2% of ranked players (population est.)
CSDB Leaderboard#20360 of 27393 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

Share this profile

CSDB.GGCalico CatPREMIER8,889 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59
Positioning50
Utility65

0–100 skill scores via Leetify.

Recent form

COLD64306Last 10064%Win rateWWLLLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.9
Aggression5.2
Utility6.5
Positioning5.0
Opening Duels1.5

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 45% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.9
Positioning5.0
Utility6.5
Mechanics8.9
Opening Duels1.8
Win Impact10.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time628ms−16ms
first ⅓ avg 644ms → last ⅓ avg 628ms
Headshot accuracy14.0%−0.1%
first ⅓ avg 14.0% → last ⅓ avg 14.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.19Best rating — inferno 9–5
131Biggest win — dust2
10Longest win streak
W2Current streak
64In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 100% over 6anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S2216673%0.00
infernoS1612475%0.04
cacheS128467%-0.01
mirageA106460%0.00
nukeC94544%-0.03
anubisC73443%-0.03
ancientS660100%0.00
vertigoA53260%0.00
train42250%-0.02
debris3030%-0.15
overpass220100%0.02
poseidon21150%0.02
eldorado1010%-0.04
fachwerk110100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.8%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.4%Spray accuracy
90.0%Counter-strafing
12.1°Preaim
644msReaction time
27.1%T opening success
44.6%CT opening success
0.52Enemies flashed / flash
7.1%Flash assists
8.18HE damage / grenade
22.61Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1124° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.796% — below the 15% mark we flag

    Aim Training
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–80.0320%29 Aug
dust213–10.0511%29 Aug
cache6–13-0.0710%29 Aug
mirage10–130.0214%28 Aug
cache3–13-0.0310%28 Aug
nuke7–13-0.079%27 Aug
inferno9–30.1821%26 Aug
debris2–9-0.0410%26 Aug
debris2–9-0.2729%26 Aug
vertigo7–9-0.1413%26 Aug
overpass9–50.0217%26 Aug
inferno6–13-0.0717%25 Aug
ancient13–6-0.038%25 Aug
mirage13–11-0.0421%25 Aug
nuke9–13-0.0114%20 Aug
dust213–50.0216%20 Aug
dust29–13-0.018%19 Aug
mirage13–50.0212%19 Aug
train12–12-0.018%17 Aug
inferno8–130.0012%15 Aug
dust213–70.0314%15 Aug
mirage13–10-0.0110%14 Aug
dust213–10-0.0211%14 Aug
train13–50.0221%14 Aug
dust213–100.0111%11 Aug
cache13–3-0.019%11 Aug
anubis13–9-0.0313%10 Aug
inferno16–120.0217%9 Aug
cache13–80.0119%9 Aug
cache13–5-0.0915%8 Aug
mirage15–150.0414%8 Aug
anubis1–13-0.0713%8 Aug
inferno13–11-0.0313%8 Aug
dust213–7-0.0821%8 Aug
cache13–30.0322%7 Aug
inferno13–70.1412%7 Aug
ancient13–70.029%7 Aug
cache10–13-0.058%7 Aug
mirage6–13-0.0711%7 Aug
inferno13–70.1815%6 Aug
poseidon5–9-0.0113%6 Aug
nuke13–50.008%6 Aug
anubis13–8-0.0112%6 Aug
ancient13–5-0.0425%6 Aug
vertigo13–80.0417%6 Aug
dust213–100.0323%5 Aug
inferno9–60.114%5 Aug
inferno9–40.0422%5 Aug
inferno3–13-0.0326%5 Aug
nuke13–60.0310%5 Aug
dust212–12-0.0321%5 Aug
dust213–50.0217%5 Aug
mirage12–12-0.0210%5 Aug
inferno11–13-0.0612%5 Aug
poseidon9–70.0532%5 Aug
inferno9–50.1932%4 Aug
nuke13–10-0.0216%3 Aug
nuke7–13-0.115%3 Aug
anubis11–20.127%1 Aug
cache13–10-0.0223%1 Aug
ancient13–100.0510%1 Aug
vertigo13–50.086%1 Aug
anubis9–13-0.0410%1 Aug
overpass13–90.028%31 Jul
nuke12–12-0.089%31 Jul
vertigo13–100.078%31 Jul
dust213–80.0017%30 Jul
dust213–90.0618%30 Jul
nuke13–40.0116%29 Jul
cache11–13-0.0512%29 Jul
vertigo10–13-0.0319%29 Jul
inferno9–7-0.1030%28 Jul
debris4–9-0.147%28 Jul
eldorado3–9-0.045%28 Jul
mirage13–8-0.0312%28 Jul
ancient13–11-0.0314%28 Jul
cache13–5-0.0015%28 Jul
inferno10–9-0.0213%28 Jul
cache13–20.0518%27 Jul
mirage13–80.0523%27 Jul
dust213–60.0214%26 Jul
train9–13-0.0713%26 Jul
fachwerk13–40.028%26 Jul
inferno13–30.0410%26 Jul
dust210–5-0.0215%26 Jul
anubis11–13-0.066%26 Jul
anubis5–13-0.084%25 Jul
dust22–13-0.0424%25 Jul
dust213–8-0.0212%23 Jul
dust212–12-0.059%23 Jul
cache13–100.0518%22 Jul
dust213–80.079%18 Jul
train13–5-0.0024%18 Jul
ancient13–80.0610%18 Jul
mirage13–60.0415%18 Jul
dust213–9-0.0519%17 Jul
dust213–100.0715%17 Jul
dust29–130.0613%17 Jul
dust24–13-0.0217%17 Jul
nuke3–13-0.056%17 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →