EarlGrey

EarlGrey — CS2 Stats

GB76561198119284924[U:1:159019196]Steam profile ↗✓ No bans

536Tracked matches40%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating25,926Top 10% of 205,416 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#13305 of 252577 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 25,926 +1,220 29 Jun – 16 Oct · 34 days played
21,88026,248peak 26,24829 Jun16 Oct
26,445Peak Premier in tracked matches
39Days played since 2026-06-29

Premier CS Rating

  • 322 below peak (26,248)
  • -237 over 30 days · steady
  • +59 over 90 days
  • Next: Gold band at 30,000 — 4,074 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-02
  • Pink band first seen 2026-09-02

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

Share this profile

CSDB.GGEarlGreyFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,926 · Red bandcsdb.gg/stats

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Performance scores

Aim80
Positioning59
Utility21

0–100 skill scores via Leetify.

Recent form

COLD58–41–1Last 10058%Win rateLLLLWWLWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.9pp headshot accuracy · −4ms 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 -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 560ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 565ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 567ms

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 (+2.2 against its own average).

Aim8.0
Utility2.1
Positioning5.9
Opening Duels2.1
Clutch4.8

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

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. 566ms 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

Aim8.0
Positioning5.9
Utility2.1
Mechanics7.4
Opening Duels3.9
Win Impact1.7

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time570ms−14ms
first ⅓ avg 584ms → last ⅓ avg 570ms
Headshot accuracy20.3%+0.4%
first ⅓ avg 19.9% → last ⅓ avg 20.3%

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

0.13Best match rating · 13–2 · mirage, 14 Jul →
38%Best headshot accuracy · 13–3 · dust2, 7 Oct →
359msFastest reaction time · 5–0 · dust2, 4 Jul →
13–0Biggest win · inferno, 13 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
8–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 67% over 24anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2615–1158%0.02
dust2S2416–867%0.02
ancientB168–850%0.00
nukeB105–550%0.01
cacheS96–367%0.02
anubisC73–443%0.02
infernoS64–267%-0.02
overpass—21–150%0.00

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.

Faceit stats

Combat

206Matches
55%Win rate
1.27Avg K/D
82.8ADR
46%Headshot %

Clutches & streaks

44%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust22759%1.0015.1
Mirage2454%1.3016.0
Ancient1844%1.0817.0
Anubis1338%1.1716.3
Nuke771%1.1620.0
Inferno560%1.6923.4
Cache475%1.3216.8
Overpass333%1.1417.3

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.

19.8%Headshot accuracy
38.6%Accuracy (enemy spotted)
39.8%Spray accuracy
83.3%Counter-strafing
10.8°Preaim
566msReaction time
48.8%T opening success
42.6%CT opening success
0.50Enemies flashed / flash
1.9%Flash assists
5.80HE damage / grenade
1.26Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.257 — below the 4 mark we flag

    Grenade Lineups →
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 & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0512%16 Oct →
nuke9–130.0213%16 Oct →
dust23–13-0.0826%16 Oct →
dust25–13-0.0724%16 Oct →
inferno13–70.005%16 Oct →
inferno13–100.0526%14 Oct →
mirage9–130.0110%10 Oct →
mirage13–60.0523%10 Oct →
anubis6–130.0214%10 Oct →
dust210–13-0.0119%9 Oct →
cache6–00.0517%9 Oct →
cache7–13-0.0722%7 Oct →
dust213–30.1138%7 Oct →
mirage11–130.0026%5 Oct →
ancient9–13-0.0115%5 Oct →
nuke8–13-0.0422%5 Oct →
nuke7–13-0.0216%27 Sept →
mirage13–50.0515%27 Sept →
dust211–13-0.0621%27 Sept →
ancient11–13-0.0420%27 Sept →
dust213–11-0.0316%15 Sept →
nuke16–12-0.0029%14 Sept →
dust29–130.0423%14 Sept →
mirage13–40.0316%9 Sept →
ancient3–13-0.076%9 Sept →
ancient4–130.0230%7 Sept →
ancient16–14-0.0419%7 Sept →
nuke16–130.0116%7 Sept →
cache13–20.0918%7 Sept →
mirage5–13-0.0238%7 Sept →
dust213–40.0729%6 Sept →
mirage13–60.0225%5 Sept →
mirage13–11-0.0022%5 Sept →
ancient13–20.039%5 Sept →
anubis14–160.0217%5 Sept →
mirage8–13-0.0120%1 Sept →
dust216–120.0333%31 Aug →
mirage2–13-0.0325%31 Aug →
anubis13–5-0.0011%30 Aug →
mirage13–160.0421%28 Aug →
mirage13–20.0821%27 Aug →
ancient13–110.0423%27 Aug →
nuke15–15-0.0221%26 Aug →
dust213–110.1026%25 Aug →
ancient4–130.0416%25 Aug →
dust213–90.1027%24 Aug →
inferno10–13-0.0318%18 Aug →
mirage8–130.0223%18 Aug →
ancient13–9-0.0017%15 Aug →
inferno13–0-0.0216%13 Aug →
nuke13–90.1020%12 Aug →
mirage13–9-0.0216%12 Aug →
mirage13–100.0923%11 Aug →
dust213–40.1116%10 Aug →
mirage5–13-0.0422%10 Aug →
dust213–50.0718%10 Aug →
cache13–60.0212%10 Aug →
mirage13–00.1123%10 Aug →
dust213–110.0215%9 Aug →
cache6–130.025%9 Aug →
mirage13–40.1228%9 Aug →
anubis13–70.1215%9 Aug →
cache13–80.0817%6 Aug →
cache1–13-0.0811%2 Aug →
ancient13–5-0.0516%2 Aug →
anubis13–110.0216%2 Aug →
dust213–80.0034%15 Jul →
mirage13–80.1120%15 Jul →
mirage13–20.1319%14 Jul →
ancient13–40.0821%14 Jul →
ancient13–80.0111%14 Jul →
dust213–50.0115%13 Jul →
dust213–9-0.0310%12 Jul →
mirage11–130.0016%12 Jul →
ancient10–13-0.0413%12 Jul →
nuke13–110.0424%12 Jul →
ancient8–130.0427%12 Jul →
cache16–13-0.0122%12 Jul →
dust29–13-0.0322%12 Jul →
dust24–130.0129%12 Jul →
anubis9–130.0217%4 Jul →
mirage13–50.0521%4 Jul →
dust213–40.0030%4 Jul →
ancient7–130.0317%4 Jul →
mirage13–7-0.0628%4 Jul →
dust25–00.0820%4 Jul →
overpass13–30.0427%2 Jul →
nuke13–70.0134%2 Jul →
nuke13–16-0.0214%2 Jul →
ancient13–40.0018%1 Jul →
cache13–60.0524%1 Jul →
mirage13–4-0.0121%1 Jul →
dust210–13-0.0217%1 Jul →
inferno13–100.0125%1 Jul →
mirage7–13-0.0217%30 Jun →
overpass6–13-0.0317%30 Jun →
anubis9–13-0.059%30 Jun →
dust213–70.0330%30 Jun →
inferno3–13-0.135%29 Jun →
dust213–60.0616%29 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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