CARL

CARL — CS2 Stats

SE76561197960436347[U:1:170619]Steam profile ↗✓ No bans

1,525Tracked matches53%Win rate2020Tracked since
6,139Hours in CS6Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating19,413Top 50% of 208,731 CSDB-tracked playersPurple band · top ~10.8% of ranked players (population est.)
CSDB Leaderboard#92520 of 255836 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (10 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: 19,413 -4,349 14 Apr – 11 Oct · 16 days played
19,24223,762peak 23,76214 Apr11 Oct
23,877Peak Premier in tracked matches
48Days played since 2026-04-08

Premier CS Rating

  • 4,349 below peak (23,762)
  • -15 over 30 days · steady
  • Next: Pink band at 20,000 — 587 to go
  • Reached: Pink band · Purple band · 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 Level 10 among CSDB-tracked players (n=30,061), 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 playerLevel 10 median
Headshot rate52.3%50.9%
Shot accuracy14.0%13.7%
Kill/death ratio1.131.09
Match win rate50.9%48.4%

Share this profile

CSDB.GGCARLFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER19,413 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning69
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLWWWLLLLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +2.8pp headshot accuracy · −36ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 528ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 507ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 525ms

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).

Aim7.2
Utility6.3
Positioning6.9
Opening Duels4.3
Clutch3.8

Strong CT-side opener

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

iM

Plays most like iM 81% playstyle similarity

Most alike: positioning profile, 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 59% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.2
Positioning6.9
Utility6.3
Mechanics5.7
Opening Duels4.6
Win Impact6.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time549ms−60ms
first ⅓ avg 609ms → last ⅓ avg 549ms
Headshot accuracy20.7%−1.9%
first ⅓ avg 22.7% → last ⅓ avg 20.7%

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

0.15Best match rating · 9–4 · nuke, 12 Aug →
43%Best headshot accuracy · 13–5 · anubis, 8 Sept →
313msFastest reaction time · 1–13 · inferno, 7 Sept →
13–1Biggest win · cache, 17 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–14In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 67% over 18ancientWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC229–1341%-0.00
dust2S1812–667%0.01
anubisB168–850%-0.01
ancientD154–1127%0.00
mirageC125–742%0.01
nukeC94–544%0.03
cacheB84–450%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

125,069Lifetime kills
1.13K/D · Top 50% of Level 10 players
3,956Matches
50.9%Match win rate · Top 50% of Level 10 players
52.3%Headshot % · Top 50% of Level 10 players
14.0%Shot accuracy · Top 50% of Level 10 players
10,681MVPs
2,056Hours (in match)
5,542Bombs planted
1,583Bombs defused

Most-used weapons

AK-4742,567
AWP19,383
Negev2,632
FAMAS1,454
P2501,304

Lifetime map wins

6,964inferno
6,187dust2
2,651nuke
1,634cbble
1,511train
1,166vertigo
73office
56lake

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

Faceit stats

Combat

559Matches
55%Win rate
1.22Avg K/D
76.8ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis7256%1.0815.8
Mirage6850%1.1215.1
Ancient6248%1.0515.6
Inferno5564%1.1515.3
Dust23647%0.9815.2
Nuke2458%1.1014.9
Overpass1242%1.1315.4
Train956%1.1614.3

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.

21.0%Headshot accuracy
32.1%Accuracy (enemy spotted)
37.0%Spray accuracy
75.9%Counter-strafing
9.3°Preaim
549msReaction time
37.8%T opening success
58.6%CT opening success
0.56Enemies flashed / flash
10.3%Flash assists
10.29HE damage / grenade
11.07Flashes / 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

    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 37.799% — below the 40% mark we flag

Spend your practice time on Ancient

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0422%11 Oct →
dust213–90.0819%10 Oct →
anubis13–50.0819%10 Oct →
inferno13–70.0424%10 Oct →
nuke11–130.0424%10 Oct →
nuke11–130.0429%8 Oct →
anubis5–13-0.1227%8 Oct →
inferno5–13-0.0719%5 Oct →
inferno13–5-0.0016%4 Oct →
dust213–8-0.0433%4 Oct →
inferno7–13-0.0611%3 Oct →
ancient9–130.0312%3 Oct →
dust213–80.0424%3 Oct →
dust213–4-0.0317%1 Oct →
inferno12–16-0.0120%1 Oct →
mirage11–130.0118%24 Sept →
anubis13–7-0.0216%24 Sept →
inferno13–100.0130%24 Sept →
cache9–13-0.0229%23 Sept →
inferno13–50.1129%23 Sept →
cache13–100.0127%22 Sept →
cache13–7-0.0115%21 Sept →
ancient9–13-0.0315%21 Sept →
ancient13–6-0.0119%20 Sept →
inferno13–50.0017%20 Sept →
anubis11–13-0.0610%19 Sept →
ancient13–100.0520%17 Sept →
cache13–10.0518%17 Sept →
inferno5–13-0.0122%15 Sept →
ancient11–130.0627%14 Sept →
nuke13–70.0925%14 Sept →
anubis13–60.0612%14 Sept →
inferno10–130.0521%12 Sept →
mirage13–10-0.0214%12 Sept →
mirage13–90.0219%12 Sept →
mirage13–40.1026%11 Sept →
mirage13–60.0530%10 Sept →
mirage4–130.0322%10 Sept →
anubis3–13-0.0425%9 Sept →
anubis13–50.0443%8 Sept →
ancient8–130.0518%8 Sept →
mirage1–13-0.0829%8 Sept →
mirage8–130.0123%7 Sept →
inferno1–13-0.0517%7 Sept →
inferno8–13-0.0125%6 Sept →
ancient0–13-0.0443%6 Sept →
inferno10–13-0.0118%31 Aug →
mirage9–130.0324%30 Aug →
nuke11–130.0223%30 Aug →
mirage13–50.0429%29 Aug →
nuke9–6-0.0227%28 Aug →
inferno9–60.0733%28 Aug →
cache9–13-0.0323%22 Aug →
anubis10–13-0.0218%22 Aug →
inferno13–60.0329%15 Aug →
ancient13–11-0.0220%15 Aug →
inferno5–90.0230%12 Aug →
nuke9–40.1516%12 Aug →
dust213–8-0.0626%27 Jul →
mirage11–13-0.0133%27 Jul →
nuke13–80.0125%14 Jun →
dust210–130.0934%14 Jun →
anubis11–130.0222%14 Jun →
nuke9–13-0.0124%14 Jun →
dust25–130.0227%14 Jun →
ancient14–16-0.0218%13 Jun →
dust213–11-0.0323%13 Jun →
dust28–13-0.0019%29 May →
anubis13–90.0017%29 May →
inferno8–13-0.0426%29 May →
cache16–19-0.0511%26 May →
mirage8–13-0.0423%26 May →
inferno7–13-0.0821%24 May →
cache13–60.0319%24 May →
anubis13–30.0322%17 May →
inferno13–80.0224%17 May →
dust27–13-0.0528%16 May →
anubis13–50.0522%16 May →
ancient11–13-0.0425%11 May →
ancient13–16-0.0121%11 May →
ancient13–90.0125%9 May →
anubis13–90.0636%8 May →
dust222–20-0.0220%27 Apr →
anubis10–13-0.0617%18 Apr →
dust211–130.1318%18 Apr →
ancient11–13-0.0220%18 Apr →
inferno9–130.0119%18 Apr →
nuke12–16-0.0029%14 Apr →
dust213–8-0.0728%14 Apr →
inferno10–13-0.0524%14 Apr →
dust213–50.0418%14 Apr →
inferno9–2-0.0525%14 Apr →
ancient4–13-0.0120%12 Apr →
anubis7–13-0.0333%12 Apr →
dust26–13-0.0239%11 Apr →
dust213–90.0017%11 Apr →
anubis9–13-0.0811%10 Apr →
dust213–30.0532%10 Apr →
ancient11–13-0.0017%10 Apr →
dust216–13-0.0124%8 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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