Cars Crocs

Cars Crocs — CS2 Stats

76561199026804181[U:1:1066538453]Steam profile ↗1 game ban

319Tracked matches50%Win rate2021Tracked since
964Hours in CS
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating14,715Blue band · top ~29.9% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Jun 2026 (131 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,715 +9,716 15 Dec – 3 Jun · 6 days played
4,64714,715peak 14,71515 Dec3 Jun
14,715Peak Premier in tracked matches
1,147Highest Faceit ELO seen on CSDB
62Days played since 2025-10-12

Faceit ELO

  • At peak — 1,147
  • Next: Level 6 at 1,201 — 54 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • At peak — 14,715
  • Next: Purple band at 15,000 — 285 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate52.1%42.0%44.3%above
Shot accuracy6.1%9.6%11.9%5.7% short
Kill/death ratio0.970.981.030.06 short
Match win rate45.4%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCars CrocsPREMIER14,715 · Blue bandPEAK ELO1,147csdb.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

Aim69
Positioning54
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateLWLLWWLLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +115ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 622ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 638ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 581ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim6.9
Utility3.2
Positioning5.4
Opening Duels2.3
Clutch4.2

Limited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.9
Positioning5.4
Utility3.2
Mechanics4.2
Opening Duels1.5
Win Impact5.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time587ms−36ms
first ⅓ avg 623ms → last ⅓ avg 587ms
Headshot accuracy22.5%+0.7%
first ⅓ avg 21.8% → last ⅓ avg 22.5%

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.

Personal bests

0.31Best match rating · 9–1 · inferno, 3 May →
57%Best headshot accuracy · 9–7 · poseidon, 21 Jun →
375msFastest reaction time · 13–8 · ancient, 9 Oct →
13–2Biggest win · vertigo, 9 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 54% over 13overpassWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2513–1252%0.04
mirageC187–1139%-0.01
ancientB137–654%-0.00
nukeB137–654%-0.02
overpassD134–931%0.02
dust2C73–443%0.00
vertigo—41–325%0.00
poseidon—31–233%-0.05
anubis—30–30%-0.03
train—11–0100%-0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,876Lifetime kills
0.97K/D
1,846Matches
45.4%Match win rate · Top 50% of Blue band
52.1%Headshot % · Top 25% of Blue band
6.1%Shot accuracy
13,063MVPs
964Hours (in match)
611Bombs planted
4,181Bombs defused

Most-used weapons

Lifetime map wins

4,813inferno
3,237dust2
3,237nuke
2,425vertigo
614train
151cbble
61lake
13office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

178Matches
53%Win rate
1.12Avg K/D
86.8ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3847%0.9614.7
Mirage3348%1.0614.9
Ancient3070%1.3418.3
Dust22148%1.0915.9
Overpass2045%0.9817.5
Anubis1753%1.3020.1
Nuke1457%1.3018.1
Cache367%1.2216.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

20.8%Headshot accuracy
34.2%Accuracy (enemy spotted)
41.3%Spray accuracy
68.8%Counter-strafing
10.0°Preaim
560msReaction time
39.9%T opening success
31.9%CT opening success
0.30Enemies flashed / flash
4.6%Flash assists
8.59HE damage / grenade
4.03Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2968 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 39.923% — below the 40% mark we flag

Spend your practice time on Overpass

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0615%9 Oct →
ancient13–80.0714%9 Oct →
mirage9–100.0319%17 Jul →
mirage4–130.0836%16 Jul →
nuke9–70.0716%22 Jun →
overpass9–70.0513%22 Jun →
inferno5–9-0.0322%22 Jun →
poseidon5–9-0.1226%21 Jun →
poseidon9–70.0457%21 Jun →
inferno7–9-0.0313%18 Jun →
mirage9–13-0.0148%16 Jun →
inferno13–80.1021%3 Jun →
dust28–13-0.0313%1 Jun →
overpass11–130.0524%25 May →
ancient16–130.1023%25 May →
inferno12–16-0.0420%25 May →
dust25–13-0.0519%25 May →
inferno13–7-0.0419%19 May →
overpass4–90.0925%18 May →
vertigo3–9-0.0135%17 May →
inferno3–9-0.1217%17 May →
ancient13–100.0314%17 May →
inferno6–9-0.0423%17 May →
overpass10–13-0.0130%15 May →
overpass16–190.0012%13 May →
dust210–130.0615%13 May →
ancient6–13-0.0110%12 May →
mirage8–13-0.0417%10 May →
vertigo13–20.0519%9 May →
inferno10–130.0527%7 May →
poseidon8–8-0.0829%3 May →
inferno9–10.3132%3 May →
inferno8–8-0.0122%3 May →
dust213–7-0.0318%2 May →
inferno13–10-0.0120%2 May →
inferno16–14-0.0412%28 Apr →
ancient13–6-0.0118%28 Apr →
overpass16–14-0.0534%28 Apr →
nuke13–6-0.0123%27 Apr →
nuke13–110.0322%26 Apr →
ancient13–9-0.0329%26 Apr →
overpass13–160.0213%26 Apr →
inferno13–90.0126%26 Apr →
mirage13–8-0.0713%25 Apr →
inferno16–130.0120%25 Apr →
overpass15–150.0417%23 Apr →
overpass8–13-0.0121%16 Apr →
inferno13–9-0.0131%16 Apr →
mirage16–12-0.0320%14 Apr →
inferno6–130.0315%12 Apr →
dust213–10-0.0121%12 Apr →
anubis6–130.0026%12 Apr →
inferno8–13-0.0021%11 Apr →
ancient13–90.0113%11 Apr →
ancient11–130.0121%6 Apr →
mirage16–12-0.0622%6 Apr →
nuke13–3-0.0323%6 Apr →
inferno10–130.0722%5 Apr →
mirage15–150.0516%3 Apr →
vertigo4–13-0.0340%1 Apr →
nuke11–13-0.0317%1 Apr →
mirage13–10-0.0323%1 Apr →
mirage13–11-0.0618%31 Mar →
anubis10–13-0.0419%28 Mar →
nuke13–16-0.0312%24 Mar →
overpass16–14-0.0317%5 Mar →
mirage6–13-0.0926%27 Feb →
anubis7–13-0.0637%20 Feb →
inferno13–60.048%22 Jan →
nuke13–11-0.0030%22 Jan →
inferno9–20.2227%22 Jan →
ancient13–80.0520%20 Jan →
mirage12–120.0523%18 Jan →
overpass13–90.0516%15 Jan →
nuke10–130.0021%15 Jan →
nuke12–12-0.1033%11 Jan →
nuke11–13-0.060%11 Jan →
inferno7–90.1013%9 Jan →
mirage13–20.0436%5 Jan →
nuke5–13-0.0622%2 Jan →
inferno9–40.2322%26 Dec →
nuke9–7-0.0816%26 Dec →
mirage12–12-0.0128%25 Dec →
mirage0–13-0.0220%23 Dec →
overpass16–190.0319%22 Dec →
dust213–100.0217%22 Dec →
inferno6–13-0.0223%22 Dec →
inferno9–70.0144%22 Dec →
mirage7–130.0322%20 Dec →
overpass11–13-0.0025%19 Dec →
inferno13–30.1018%15 Dec →
nuke13–100.0226%15 Dec →
vertigo7–130.0124%18 Nov →
mirage13–3-0.0011%1 Nov →
ancient8–13-0.0521%27 Oct →
ancient9–13-0.0330%21 Oct →
ancient8–13-0.0814%19 Oct →
dust26–130.0626%19 Oct →
train13–11-0.0514%14 Oct →
mirage5–13-0.0814%12 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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