Goose

Goose — CS2 Stats

76561198853904286[U:1:893638558]Steam profile ↗✓ No bans

997Tracked matches63%Win rate2021Tracked since
1,501Hours in CS11Hrs last 2 wks
CSDB Rating6.3 SolidSupport
FaceitLevel 8 · 1,863 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (57 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,863 → 1,863
+46Tracked matches · now 997
+3.3ppWin rate · 60.0% → 63.3%

Rating over time

Premier CS Rating: 21,728 +3,961 18 Oct – 3 Jul · 14 days played
17,12021,728peak 21,72818 Oct3 Jul
21,728Peak Premier in tracked matches
1,863Highest Faceit ELO seen on CSDB
62Days played since 2025-10-18

Faceit ELO

  • At peak — 1,863
  • Next: Level 10 at 2,001 — 138 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-07
  • Level 8 first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 rate42.1%46.8%48.2%6.1% short
Shot accuracy7.3%13.0%13.2%5.9% short
Kill/death ratio1.081.061.07meets
Match win rate45.5%46.3%46.9%1.4% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGGooseFACEITLevel 8 · 1,863 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,863csdb.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

Aim75
Positioning60
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateWLWWLLLLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.2pp headshot accuracy · −42ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 489ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 489ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 510ms

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 (+1.1 against its own average).

Aim7.5
Utility6.3
Positioning6.0
Opening Duels4.1
Clutch4.4

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

Twistzz

Plays most like Twistzz 92% 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

T-side openings. Opening success drops from 57% on CT to 41% 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

Aim7.5
Positioning6.0
Utility6.3
Mechanics5.1
Opening Duels4.8
Win Impact9.4

Composite 6.3/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time539ms−50ms
first ⅓ avg 589ms → last ⅓ avg 539ms
Headshot accuracy19.2%+2.0%
first ⅓ avg 17.1% → last ⅓ avg 19.2%

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 · 2–1 · train, 24 Oct →
50%Best headshot accuracy · 1–13 · inferno, 22 Jun →
406msFastest reaction time · 1–8 · mirage, 13 Oct →
13–0Biggest win · overpass, 17 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 68% over 19mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA3218–1456%0.01
ancientS2013–765%0.02
nukeS1913–668%0.03
anubisA117–464%0.03
overpassB84–450%0.05
mirageD62–433%-0.02
dust2—22–0100%-0.02
train—21–150%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,067Lifetime kills
1.08K/D · Top 50% of Level 8 players
2,409Matches
45.5%Match win rate
42.1%Headshot %
7.3%Shot accuracy
6,350MVPs
917Hours (in match)
1,883Bombs planted
933Bombs defused

Most-used weapons

AK-4714,427
AWP6,679
AUG1,265
FAMAS1,079
SG 5531,031

Lifetime map wins

6,345inferno
4,587nuke
1,991vertigo
1,639train
1,507dust2
45ar_shoots
22ar_baggage
22lake

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

Faceit stats

Combat

575Matches
50%Win rate
1.19Avg K/D
85.7ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke13463%1.2717.4
Inferno11847%1.3317.9
Ancient11241%1.1517.2
Anubis7445%1.1417.0
Mirage3546%0.9214.3
Overpass2673%1.2015.0
Train2646%0.9614.7
Vertigo2552%1.2018.5

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.

19.5%Headshot accuracy
36.7%Accuracy (enemy spotted)
34.4%Spray accuracy
72.8%Counter-strafing
8.7°Preaim
535msReaction time
41.4%T opening success
56.8%CT opening success
0.52Enemies flashed / flash
8.6%Flash assists
10.92HE damage / grenade
13.04Flashes / match

Recommended for you

Spend your practice time on Mirage

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–50.0620%2 Nov →
ancient14–160.0220%26 Oct →
inferno13–110.0317%19 Oct →
inferno13–30.0616%17 Oct →
nuke10–13-0.0120%16 Oct →
mirage1–8-0.0521%13 Oct →
anubis9–13-0.0011%9 Oct →
inferno5–13-0.0220%9 Oct →
dust213–2-0.0031%9 Oct →
nuke13–4-0.0111%30 Sept →
ancient13–10-0.0224%5 Sept →
anubis13–50.0219%2 Sept →
inferno14–160.0117%2 Sept →
mirage13–70.0217%29 Aug →
ancient13–10-0.0513%29 Aug →
inferno11–130.0329%17 Aug →
inferno13–90.0123%8 Aug →
nuke13–7-0.0121%8 Aug →
inferno1–13-0.0419%6 Aug →
ancient9–13-0.0315%4 Aug →
inferno13–60.0820%3 Aug →
ancient13–100.0525%3 Aug →
anubis13–40.1322%3 Aug →
nuke13–50.0713%3 Aug →
inferno13–90.0425%1 Aug →
nuke13–40.0930%1 Aug →
anubis6–13-0.0117%1 Aug →
ancient13–60.0414%1 Aug →
nuke13–10-0.0618%1 Aug →
inferno7–13-0.0517%17 Jul →
ancient5–00.0519%17 Jul →
nuke8–130.0216%7 Jul →
anubis13–40.0813%3 Jul →
nuke13–16-0.0412%3 Jul →
mirage4–13-0.057%3 Jul →
nuke11–130.0223%3 Jul →
inferno13–100.0519%30 Jun →
overpass11–130.1221%29 Jun →
nuke13–80.0619%29 Jun →
ancient6–90.0123%29 Jun →
inferno1–13-0.0050%22 Jun →
ancient11–13-0.0312%8 Jun →
ancient13–90.1019%8 Jun →
inferno9–13-0.0130%8 Jun →
inferno13–70.0621%8 Jun →
inferno10–13-0.0220%3 Jun →
inferno13–100.0516%10 May →
mirage8–13-0.0510%10 May →
nuke13–90.1022%4 May →
inferno13–100.0615%4 May →
overpass13–60.0918%4 May →
nuke13–7-0.0123%27 Apr →
overpass4–130.0722%11 Apr →
nuke13–80.0931%11 Apr →
inferno4–13-0.0417%2 Apr →
mirage13–110.0512%31 Mar →
inferno6–13-0.0319%25 Mar →
inferno13–110.0516%18 Mar →
nuke16–14-0.0414%18 Mar →
overpass13–00.1026%17 Mar →
inferno8–13-0.0220%16 Mar →
inferno13–70.0922%15 Mar →
anubis13–20.1013%11 Mar →
nuke13–60.1334%25 Feb →
anubis6–13-0.0712%25 Feb →
dust213–7-0.0313%23 Feb →
ancient13–20.0615%23 Feb →
anubis13–4-0.0112%18 Feb →
ancient8–13-0.0611%18 Feb →
ancient13–50.1223%30 Jan →
ancient9–20.0117%28 Jan →
anubis13–20.0848%23 Jan →
anubis8–13-0.0211%21 Jan →
overpass13–11-0.0019%18 Jan →
anubis25–220.0011%18 Jan →
ancient9–5-0.0121%19 Dec →
nuke6–130.0125%19 Dec →
inferno13–30.1516%19 Dec →
train11–13-0.0319%11 Dec →
ancient13–20.0528%10 Dec →
overpass7–130.0122%3 Dec →
ancient14–160.0112%3 Dec →
ancient13–90.0919%2 Dec →
inferno8–13-0.0624%2 Dec →
inferno9–13-0.0111%27 Nov →
nuke16–14-0.009%22 Nov →
inferno13–9-0.0113%22 Nov →
inferno13–5-0.0110%22 Nov →
ancient13–3-0.072%20 Nov →
inferno1–6-0.150%16 Nov →
overpass2–13-0.0718%7 Nov →
nuke8–130.0417%5 Nov →
inferno13–10-0.0313%4 Nov →
mirage12–16-0.0412%31 Oct →
ancient8–13-0.0316%26 Oct →
train2–10.2022%24 Oct →
overpass12–60.0727%24 Oct →
inferno13–5-0.0219%24 Oct →
nuke13–110.0522%23 Oct →
inferno13–110.0017%18 Oct →

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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