Gøtte

Gøtte — CS2 Stats

76561198024607326[U:1:64341598]Steam profile ↗

876Tracked matches43%Win rate2022Tracked since
3,768Hours in CS29Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating18,548Purple band · top ~14.3% of ranked players (population est.)
FaceitLevel 9 · 1,822 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (2 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: 18,548 -3,177 4 Jul – 17 Oct · 14 days played
17,52221,725peak 21,7254 Jul17 Oct
Faceit ELO: 1,822 +0 30 Aug – 18 Sept · 3 observations
1,8221,822peak 1,82230 Aug18 Sept
22,060Peak Premier in tracked matches
1,822Highest Faceit ELO seen on CSDB
41Days played since 2026-07-04

Faceit ELO

  • At peak — 1,822
  • Next: Level 10 at 2,001 — 179 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

Premier CS Rating

  • 3,177 below peak (21,725)
  • -1,360 over 30 days · declining
  • Next: Pink band at 20,000 — 1,452 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches89——
Win rate46%——
K/D3.95——
Headshot %78%——

Measured 18 Sep 2026 → 19 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,654), 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 9 medianLevel 10 medianvs Level 10
Headshot rate42.5%48.2%50.9%8.4% short
Shot accuracy13.8%13.2%13.7%meets
Kill/death ratio1.271.071.09above
Match win rate41.7%46.9%48.4%6.7% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGøtteFACEITLevel 9 · 1,822 ELOSTANDINGTop 20.7% of rankedPREMIER18,548 · Purple bandPEAK ELO1,822csdb.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

Aim74
Positioning55
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateTWWLWLLWTL

Last 10 vs previous 10: 0pp win rate · +0.06 avg rating · +6.5pp headshot accuracy · +23ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 610ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 603ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 592ms

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).

Aim7.4
Utility5.3
Positioning5.5
Opening Duels2.4
Clutch2.4

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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 561ms 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

Aim7.4
Positioning5.5
Utility5.3
Mechanics6.3
Opening Duels4.9
Win Impact2.6

Composite 5.8/10 (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 rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time557ms−69ms
first ⅓ avg 626ms → last ⅓ avg 557ms
Headshot accuracy18.7%+1.4%
first ⅓ avg 17.3% → last ⅓ avg 18.7%

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

0.14Best match rating · 13–4 · inferno, 5 Sept →
39%Best headshot accuracy · 13–8 · inferno, 8 Sept →
375msFastest reaction time · 10–13 · cache, 15 Aug →
13–1Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 67% over 15dust2Weakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%-0.02
nukeS2617–965%-0.02
anubisS1510–567%-0.01
dust2D143–1121%0.00
ancientD103–730%-0.04
cache—31–233%-0.00
train—21–150%-0.06
mirage—10–10%-0.00
overpass—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,676Lifetime kills
1.27K/D · Top 25% of Level 9 players
6,318Matches
41.7%Match win rate
42.5%Headshot %
13.8%Shot accuracy · Top 50% of Level 9 players
8,710MVPs
2,111Hours (in match)
4,004Bombs planted
1,112Bombs defused

Most-used weapons

AK-4731,653
AWP24,124
SSG 083,442
P902,065
UMP-451,966

Lifetime map wins

16,469dust2
5,000inferno
3,635nuke
3,189vertigo
1,098train
161office
128cbble
120lake

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

Faceit stats

Combat

267Matches
54%Win rate
0.92Avg K/D
69.1ADR
43%Headshot %

Clutches & streaks

32%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno7948%0.8913.1
Nuke6161%0.9214.0
Overpass3474%1.1514.7
Ancient2722%0.6711.7
Dust22250%0.9512.6
Train2070%1.1015.1
Anubis1258%0.8613.8
Cache850%0.8311.8

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.

18.0%Headshot accuracy
35.2%Accuracy (enemy spotted)
35.7%Spray accuracy
78.5%Counter-strafing
8.8°Preaim
561msReaction time
60.3%T opening success
38.9%CT opening success
0.56Enemies flashed / flash
4.3%Flash assists
10.23HE damage / grenade
4.21Flashes / 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 38.9349% — 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.

21% win rate across 14 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
nuke15–15-0.0615%17 Oct →
nuke13–40.0312%17 Oct →
dust213–10-0.0232%17 Oct →
dust27–130.0315%14 Oct →
inferno13–60.0238%14 Oct →
ancient10–13-0.0217%13 Oct →
cache7–130.0729%10 Oct →
anubis13–110.0413%10 Oct →
inferno12–12-0.0023%10 Oct →
dust22–130.0928%10 Oct →
nuke5–13-0.0917%6 Oct →
nuke13–11-0.0418%6 Oct →
inferno9–13-0.0114%4 Oct →
anubis13–6-0.0213%4 Oct →
ancient8–13-0.0826%3 Oct →
inferno7–13-0.0516%3 Oct →
inferno16–13-0.0315%2 Oct →
inferno13–11-0.0618%28 Sept →
inferno5–13-0.076%28 Sept →
ancient13–16-0.0315%25 Sept →
inferno13–80.0019%25 Sept →
inferno7–13-0.0029%25 Sept →
nuke13–10.0222%25 Sept →
ancient6–13-0.066%24 Sept →
dust23–13-0.0310%24 Sept →
ancient9–13-0.0421%23 Sept →
inferno8–13-0.0510%23 Sept →
nuke22–18-0.0117%22 Sept →
nuke13–9-0.0913%22 Sept →
nuke20–22-0.0418%15 Sept →
anubis13–20.0720%14 Sept →
train13–10-0.0525%12 Sept →
dust24–13-0.0326%12 Sept →
anubis2–13-0.0419%12 Sept →
nuke13–11-0.0316%8 Sept →
inferno13–8-0.0339%8 Sept →
inferno13–6-0.0417%8 Sept →
anubis13–11-0.1223%7 Sept →
nuke7–13-0.078%7 Sept →
nuke1–13-0.1310%7 Sept →
nuke13–90.038%5 Sept →
dust22–13-0.0518%5 Sept →
inferno13–40.1421%5 Sept →
nuke8–13-0.0112%25 Aug →
inferno16–14-0.0417%24 Aug →
anubis19–16-0.0217%24 Aug →
inferno13–70.0414%24 Aug →
dust213–60.0815%18 Aug →
nuke13–110.0017%18 Aug →
mirage6–13-0.004%18 Aug →
dust29–13-0.0211%17 Aug →
nuke5–13-0.0715%17 Aug →
inferno13–100.0021%17 Aug →
inferno5–13-0.068%17 Aug →
nuke13–20.058%15 Aug →
dust27–13-0.0421%15 Aug →
inferno5–13-0.0518%15 Aug →
anubis14–16-0.0113%15 Aug →
cache10–13-0.0811%15 Aug →
nuke13–60.0320%11 Aug →
anubis13–50.0618%11 Aug →
nuke13–10-0.0621%11 Aug →
anubis16–12-0.0016%9 Aug →
inferno6–130.0318%9 Aug →
inferno13–7-0.0014%9 Aug →
nuke13–10-0.0311%5 Aug →
nuke13–16-0.0517%5 Aug →
anubis13–50.0315%5 Aug →
nuke7–130.0119%4 Aug →
anubis11–13-0.0417%3 Aug →
inferno13–20.0121%3 Aug →
anubis16–130.028%3 Aug →
dust213–20.0413%3 Aug →
nuke13–11-0.0017%2 Aug →
ancient6–13-0.1010%2 Aug →
ancient13–8-0.0224%2 Aug →
inferno11–13-0.0316%31 Jul →
dust210–130.0513%31 Jul →
train6–13-0.0813%28 Jul →
cache16–12-0.0124%27 Jul →
ancient9–130.0426%27 Jul →
nuke13–60.0113%26 Jul →
inferno8–13-0.0618%26 Jul →
anubis6–13-0.0213%25 Jul →
inferno13–8-0.0225%25 Jul →
anubis9–13-0.0715%25 Jul →
overpass8–13-0.0319%25 Jul →
nuke13–90.0516%24 Jul →
anubis13–90.0429%24 Jul →
dust29–130.0120%18 Jul →
nuke13–11-0.0217%18 Jul →
dust214–16-0.0217%18 Jul →
ancient13–9-0.0425%17 Jul →
ancient13–10-0.0421%17 Jul →
inferno13–160.0319%14 Jul →
inferno10–13-0.0413%14 Jul →
inferno13–9-0.0911%7 Jul →
nuke13–100.028%7 Jul →
inferno11–13-0.0215%4 Jul →
dust27–13-0.0620%4 Jul →

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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