Gurli

Gurli — CS2 Stats

76561197961386738[U:1:1121010]Steam profile ↗✓ No bans

1,723Tracked matches66%Win rate2020Tracked since
2,269Hours in CS4Hrs last 2 wks
CSDB Rating6.8 SolidSupport
Premier CS Rating22,714Top 25% of 210,367 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#46431 of 257542 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (5 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: 22,714 +395 20 Nov – 21 Oct · 25 days played
14,99923,392peak 23,39220 Nov21 Oct
23,511Peak Premier in tracked matches
37Days played since 2025-11-20

Premier CS Rating

  • 678 below peak (23,392)
  • +1,009 over 30 days · improving
  • Next: Red band at 25,000 — 2,286 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 8 among CSDB-tracked players (n=15,512), 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 8 medianLevel 9 medianvs Level 9
Headshot rate46.4%46.8%48.2%1.8% short
Shot accuracy18.6%13.0%13.2%above
Kill/death ratio1.291.061.07above
Match win rate47.5%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGurliFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,714 · Pink 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

Aim81
Positioning53
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLLLWWWWWWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −2.2pp headshot accuracy · −58ms 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 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 548ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 585ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim8.1
Utility6.1
Positioning5.3
Opening Duels2.8
Clutch3.0

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

ZywOo

Plays most like ZywOo 99% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 591ms 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

Aim8.1
Positioning5.3
Utility6.1
Mechanics6.6
Opening Duels2.7
Win Impact10.0

Composite 6.8/10 (Solid), 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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time610ms−55ms
first ⅓ avg 666ms → last ⅓ avg 610ms
Headshot accuracy19.8%−0.5%
first ⅓ avg 20.3% → last ⅓ avg 19.8%

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

0.20Best match rating · 13–1 · inferno, 27 Mar →
40%Best headshot accuracy · 13–11 · anubis, 30 Aug →
422msFastest reaction time · 4–13 · nuke, 22 Feb →
13–1Biggest win · ancient, 3 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
11–4In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 64% over 14dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2713–1448%0.03
nukeA149–564%0.01
ancientB147–750%0.01
overpassA138–562%0.02
anubisB126–650%0.01
mirageA95–456%0.05
dust2D72–529%0.03
cache—20–20%-0.00
train—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,990Lifetime kills
1.29K/D · Top 25% of Level 8 players
3,340Matches
47.5%Match win rate · Top 50% of Level 8 players
46.4%Headshot %
18.6%Shot accuracy · Top 10% of Level 8 players
10,525MVPs
1,545Hours (in match)
2,476Bombs planted
907Bombs defused

Most-used weapons

AK-4730,546
AWP7,452
SSG 083,582
Knife1,398
MAC-101,161
Tec-91,070

Lifetime map wins

10,874inferno
5,240dust2
4,572nuke
1,118vertigo
1,053train
205cbble
80lake
49ar_shoots

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

Faceit stats

Combat

321Matches
50%Win rate
1.16Avg K/D
89.3ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis4048%1.1416.9
Dust23450%1.1918.5
Inferno2955%1.2817.7
Nuke1753%1.3118.6
Ancient1436%1.2416.9
Mirage1040%1.2015.4
Vertigo333%1.1419.7
Overpass1100%0.8814.0

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.

20.0%Headshot accuracy
38.8%Accuracy (enemy spotted)
41.6%Spray accuracy
79.8%Counter-strafing
9.2°Preaim
591msReaction time
42.3%T opening success
39.3%CT opening success
0.55Enemies flashed / flash
10.8%Flash assists
13.80HE damage / grenade
7.94Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.3232% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.0123%21 Oct →
anubis6–13-0.0119%21 Oct →
mirage6–130.0217%12 Oct →
dust213–70.0722%12 Oct →
anubis13–50.0917%12 Oct →
nuke13–9-0.0014%12 Oct →
nuke13–70.0319%5 Oct →
inferno13–60.1721%5 Oct →
ancient13–6-0.0224%17 Sept →
inferno10–130.0427%17 Sept →
cache10–13-0.0120%15 Sept →
ancient4–13-0.0027%15 Sept →
nuke13–50.1320%15 Sept →
ancient13–70.0818%14 Sept →
anubis13–11-0.0116%14 Sept →
nuke13–30.0733%14 Sept →
anubis6–13-0.0515%2 Sept →
inferno13–60.0225%2 Sept →
inferno13–70.1622%2 Sept →
inferno13–20.0027%30 Aug →
anubis13–11-0.0140%30 Aug →
inferno13–100.0819%29 Jul →
inferno2–13-0.097%29 Jul →
cache10–130.0116%28 Jul →
inferno7–10.0222%28 Jul →
inferno15–150.0917%27 Jul →
ancient13–110.0315%27 Jul →
anubis13–90.018%26 Jul →
overpass13–60.0319%25 Jun →
overpass2–13-0.079%12 Jun →
nuke13–40.0019%11 Jun →
inferno13–60.0217%11 Jun →
inferno15–150.0118%4 Jun →
ancient13–1-0.0219%3 Jun →
dust213–30.0819%3 Jun →
inferno4–130.0124%3 Jun →
overpass10–130.0322%28 Mar →
ancient15–15-0.0316%28 Mar →
inferno6–13-0.0221%28 Mar →
mirage13–40.1617%28 Mar →
mirage9–130.0627%27 Mar →
dust210–130.0225%27 Mar →
inferno13–10.2026%27 Mar →
inferno10–13-0.0110%11 Mar →
overpass13–8-0.0123%11 Mar →
nuke13–6-0.0419%11 Mar →
mirage13–110.0423%28 Feb →
inferno13–110.0921%28 Feb →
nuke16–13-0.0524%28 Feb →
ancient15–150.0219%25 Feb →
inferno13–70.0520%25 Feb →
mirage11–13-0.0133%25 Feb →
mirage16–140.0720%23 Feb →
inferno13–30.0627%23 Feb →
ancient5–13-0.0518%23 Feb →
anubis8–130.0229%22 Feb →
inferno9–13-0.0226%22 Feb →
anubis13–60.0618%22 Feb →
nuke4–13-0.0416%22 Feb →
overpass13–100.0222%19 Feb →
mirage13–70.0223%19 Feb →
anubis9–13-0.0027%19 Feb →
anubis6–13-0.0216%11 Feb →
dust27–13-0.0136%11 Feb →
inferno11–130.0526%11 Feb →
overpass13–100.0319%11 Feb →
ancient13–100.0326%11 Feb →
ancient9–13-0.0422%8 Feb →
dust215–150.0228%8 Feb →
inferno3–13-0.0713%8 Feb →
anubis13–50.0218%8 Feb →
nuke11–130.0322%8 Feb →
ancient13–110.0220%8 Feb →
ancient13–60.0216%27 Jan →
nuke9–130.0223%27 Jan →
anubis10–13-0.0322%27 Jan →
inferno2–13-0.0513%27 Jan →
overpass16–14-0.029%17 Jan →
inferno13–20.1014%17 Jan →
inferno13–16-0.0118%17 Jan →
dust29–130.0322%12 Jan →
nuke8–13-0.0423%12 Jan →
inferno3–13-0.0032%11 Jan →
overpass13–10-0.0227%11 Jan →
overpass5–130.0930%9 Jan →
nuke13–70.0323%9 Jan →
train13–110.0326%9 Jan →
ancient9–130.0511%8 Jan →
nuke15–150.0428%8 Jan →
overpass5–130.0329%8 Jan →
inferno13–110.0827%17 Dec →
overpass16–130.0216%17 Dec →
train9–13-0.0518%15 Dec →
dust24–13-0.0220%15 Dec →
overpass13–50.0927%15 Dec →
overpass11–130.0312%24 Nov →
inferno9–13-0.0520%24 Nov →
nuke13–110.019%20 Nov →
ancient6–130.0120%20 Nov →
mirage13–30.0913%20 Nov →

Match data via Leetify.

Recent teammates

Milestones

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

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