C4LY

C4LY — CS2 Stats

GU76561198157567393[U:1:197301665]Steam profile ↗✓ No bans

652Tracked matches50%Win rate2020Tracked since
2,560Hours in CS
CSDB Rating7.2 StrongPositional Player
Premier CS Rating21,942Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)
CSDB Leaderboard#57822 of 261550 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (63 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: 21,942 -892 23 May – 12 Sept · 22 days played
21,39522,990peak 22,99023 May12 Sept
23,351Peak Premier in tracked matches
41Days played since 2026-05-23

Premier CS Rating

  • 1,048 below peak (22,990)
  • -483 over 30 days · declining
  • -338 over 90 days
  • Next: Red band at 25,000 — 3,058 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate54.9%46.9%49.3%above
Shot accuracy18.4%13.0%13.4%above
Kill/death ratio1.141.081.12meets
Match win rate57.4%46.7%48.5%above

Across every metric we can compare, this profile already matches the typical Red band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGC4LYPREMIER21,942 · Pink bandcsdb.gg/stats

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Performance scores

Aim94
Positioning67
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLWLLWWLWW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −1.8pp headshot accuracy · +62ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 535ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 525ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 494ms

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 (+1.9 against its own average).

Aim9.4
Utility2.3
Positioning6.7
Opening Duels6.7
Clutch3.4

Sharp aimerExcellent counter-strafingLimited 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

s1mple

Plays most like s1mple 72% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

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

Aim9.4
Positioning6.7
Utility2.3
Mechanics8.9
Opening Duels6.8
Win Impact5.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time516ms−108ms
first ⅓ avg 624ms → last ⅓ avg 516ms
Headshot accuracy27.4%+1.1%
first ⅓ avg 26.2% → last ⅓ avg 27.4%

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

0.32Best match rating · 9–1 · vertigo, 17 Jun →
57%Best headshot accuracy · 8–13 · dust2, 7 Sept →
344msFastest reaction time · 9–1 · inferno, 22 Aug →
12–0Biggest win · mirage, 6 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
3–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 60% over 25cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%0.04
mirageA2515–1060%0.03
infernoB115–645%0.02
ancientC94–544%-0.01
nukeD61–517%-0.05
overpassA53–260%0.04
cacheD50–50%0.01
vertigo—42–250%0.01
anubis—33–0100%0.03
train—22–0100%0.08
poseidon—20–20%-0.17
sanctum—11–0100%0.10

Across the last 100 tracked matches.

Lifetime stats

192,563Lifetime kills
1.14K/D · Top 50% of Pink band
11,926Matches
57.4%Match win rate · Top 5% of Pink band
54.9%Headshot % · Top 25% of Pink band
18.4%Shot accuracy · Top 10% of Pink band
38,385MVPs
2,560Hours (in match)
5,775Bombs planted
2,978Bombs defused

Most-used weapons

AK-4756,778
AWP27,719
SG 5536,577
P2503,749
P903,076
FAMAS2,573

Lifetime map wins

14,288dust2
8,096inferno
4,067vertigo
3,869cbble
3,410train
2,977nuke
441office
318lake

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

Faceit stats

Combat

344Matches
58%Win rate
1.52Avg K/D
90.8ADR
50%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4551%1.2819.3
Dust23063%1.4920.1
Vertigo1346%1.2720.7
Inferno1242%1.2721.7
Ancient1164%1.2017.6
Anubis1050%1.5420.2
Overpass450%1.1820.5
Cache2100%1.9430.0

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.

27.5%Headshot accuracy
36.7%Accuracy (enemy spotted)
36.8%Spray accuracy
89.9%Counter-strafing
7.1°Preaim
515msReaction time
50.1%T opening success
64.1%CT opening success
0.37Enemies flashed / flash
0.8%Flash assists
11.09HE damage / grenade
2.62Flashes / 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 0.3723 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage9–130.1025%17 Oct →
dust27–13-0.0324%17 Oct →
dust213–90.1541%18 Sept →
mirage9–13-0.049%18 Sept →
ancient10–13-0.0643%18 Sept →
dust213–60.1121%17 Sept →
train13–60.0323%16 Sept →
dust26–13-0.0126%12 Sept →
dust213–70.0043%12 Sept →
mirage13–11-0.0124%8 Sept →
dust213–70.0215%8 Sept →
dust28–130.0257%7 Sept →
train13–50.1228%7 Sept →
dust213–10-0.0330%6 Sept →
mirage12–00.1838%6 Sept →
dust212–120.0822%6 Sept →
ancient8–130.1328%30 Aug →
dust215–150.0721%29 Aug →
mirage13–8-0.0322%28 Aug →
dust211–130.0535%28 Aug →
mirage13–4-0.0319%27 Aug →
dust213–110.0722%26 Aug →
mirage8–13-0.0526%24 Aug →
inferno9–40.0633%22 Aug →
nuke1–9-0.194%22 Aug →
inferno9–4-0.0047%22 Aug →
vertigo9–6-0.0414%22 Aug →
overpass9–00.2536%22 Aug →
nuke6–9-0.1133%22 Aug →
inferno9–10.1144%22 Aug →
inferno9–20.080%22 Aug →
inferno5–13-0.0428%21 Aug →
cache8–130.0121%19 Aug →
ancient9–13-0.0219%19 Aug →
dust29–60.0116%19 Aug →
cache11–130.0342%19 Aug →
dust213–60.0723%19 Aug →
mirage14–160.0231%18 Aug →
mirage16–13-0.0125%18 Aug →
mirage11–13-0.0929%17 Aug →
anubis13–90.0215%4 Aug →
mirage13–70.0144%3 Aug →
ancient13–6-0.0233%3 Aug →
cache11–130.0628%2 Aug →
dust213–30.0134%1 Aug →
vertigo6–13-0.0426%29 Jul →
mirage10–130.0420%29 Jul →
mirage13–30.2154%28 Jul →
mirage15–150.0033%26 Jul →
ancient13–5-0.0321%26 Jul →
dust21–13-0.087%15 Jul →
ancient13–100.0631%15 Jul →
mirage8–13-0.0116%15 Jul →
mirage13–80.0114%15 Jul →
dust213–80.0922%15 Jul →
nuke8–130.0716%15 Jul →
dust210–13-0.0433%12 Jul →
cache14–16-0.0320%12 Jul →
dust213–30.0532%12 Jul →
mirage4–130.0424%12 Jul →
ancient13–5-0.0621%12 Jul →
cache6–13-0.0026%11 Jul →
mirage13–40.1833%11 Jul →
inferno6–13-0.0329%4 Jul →
mirage13–60.0334%4 Jul →
dust27–130.0141%4 Jul →
inferno13–160.0325%2 Jul →
mirage4–130.0322%2 Jul →
dust213–11-0.0116%2 Jul →
anubis13–60.0621%25 Jun →
mirage13–80.0129%24 Jun →
overpass13–90.0624%24 Jun →
dust213–160.1229%23 Jun →
nuke1–13-0.0524%23 Jun →
dust213–80.0036%21 Jun →
ancient4–13-0.0520%21 Jun →
anubis13–100.0123%21 Jun →
dust25–130.0621%21 Jun →
mirage13–100.0327%20 Jun →
dust211–130.0531%20 Jun →
overpass13–70.0028%20 Jun →
mirage13–6-0.0025%20 Jun →
dust214–160.0416%20 Jun →
overpass8–80.0816%18 Jun →
nuke6–9-0.0925%17 Jun →
inferno9–50.1532%17 Jun →
vertigo9–10.3225%17 Jun →
inferno6–9-0.0644%17 Jun →
poseidon4–9-0.097%17 Jun →
nuke9–60.0519%17 Jun →
overpass3–9-0.1850%17 Jun →
sanctum9–00.1045%17 Jun →
inferno8–8-0.0428%29 May →
vertigo0–9-0.1833%29 May →
poseidon1–9-0.2540%29 May →
inferno7–13-0.0526%24 May →
mirage13–7-0.0219%23 May →
dust28–130.0929%23 May →
mirage13–30.0620%23 May →
ancient5–130.0114%23 May →

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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