Goonlander

Goonlander — CS2 Stats

FI76561198068521329[U:1:108255601]Steam profile ↗✓ No bans

3,056Tracked matches48%Win rate2023Tracked since
3,553Hours in CS7Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
Premier CS Rating6,937Light Blue band · top ~69.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 6,937 +4,067 9 Jun – 4 Nov · 22 days played
2,2806,968peak 6,9689 Jun4 Nov
7,547Peak Premier in tracked matches
34Days played since 2026-06-09

Premier CS Rating

  • 31 below peak (6,968)
  • +469 over 30 days · improving
  • +251 over 90 days
  • Next: Blue band at 10,000 — 3,063 to go
  • Reached: 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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate41.4%43.8%44.8%3.4% short
Shot accuracy1.5%12.0%12.4%11.0% short
Kill/death ratio0.931.021.030.11 short
Match win rate43.2%44.7%45.2%2.0% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGoonlanderFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER6,937 · Light Blue 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

Aim64
Positioning42
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLWLWWLWLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.2pp headshot accuracy · +35ms 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 -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 653ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 28%
  • Avg reaction 608ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 591ms

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 (+1.9 against its own average).

Aim6.4
Utility6.0
Positioning4.2
Opening Duels4.0
Clutch2.2

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

device

Plays most like device 82% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 596ms 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

Aim6.4
Positioning4.2
Utility6.0
Mechanics6.3
Opening Duels4.3
Win Impact4.4

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time602ms−8ms
first ⅓ avg 609ms → last ⅓ avg 602ms
Headshot accuracy24.3%+5.3%
first ⅓ avg 18.9% → last ⅓ avg 24.3%

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

0.24Best match rating · 13–2 · mirage, 15 Jul →
60%Best headshot accuracy · 3–13 · inferno, 31 Jul →
438msFastest reaction time · 13–11 · nuke, 10 Jun →
13–2Biggest win · cache, 3 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 63% over 19ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%0.02
infernoB199–1047%-0.02
dust2A1912–763%0.00
cacheB115–645%0.00
nukeA106–460%-0.01
ancientD72–529%0.02
overpassD62–433%-0.02
anubis—21–150%-0.05
train—21–150%-0.03
boulder—21–150%-0.02
debris—10–10%-0.12
fachwerk—11–0100%-0.01
shelter—11–0100%-0.03

Across the last 100 tracked matches.

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

Lifetime stats

67,939Lifetime kills
0.93K/D
4,784Matches
43.2%Match win rate
41.4%Headshot %
1.5%Shot accuracy
9,615MVPs
1,670Hours (in match)
5,518Bombs planted
1,158Bombs defused

Most-used weapons

AK-4715,370
AWP7,930
MP92,349
SSG 081,936
MAC-101,641
XM10141,545

Lifetime map wins

8,947dust2
5,293inferno
4,762nuke
2,142vertigo
1,999office
1,269train
516italy
164lake

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

Faceit stats

Combat

502Matches
48%Win rate
0.92Avg K/D
73.3ADR
50%Headshot %

Clutches & streaks

31%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11551%0.9113.5
Dust210154%0.8913.9
Inferno7752%1.0115.0
Nuke6433%0.9314.4
Anubis4650%0.9215.1
Ancient3033%0.7912.9
Cache2162%0.8813.3
Train2030%0.8714.4

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.

24.3%Headshot accuracy
30.3%Accuracy (enemy spotted)
23.7%Spray accuracy
78.5%Counter-strafing
8.4°Preaim
596msReaction time
45.0%T opening success
49.4%CT opening success
0.56Enemies flashed / flash
7.2%Flash assists
7.97HE damage / grenade
16.84Flashes / match

Recommended for you

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0438%4 Nov →
inferno16–140.0417%4 Nov →
dust211–13-0.0231%3 Nov →
mirage13–3-0.0425%3 Nov →
cache13–8-0.0226%3 Nov →
mirage3–130.0435%3 Nov →
cache13–20.1226%3 Nov →
inferno2–13-0.0627%3 Nov →
mirage13–100.0019%20 Oct →
dust213–11-0.0131%13 Oct →
mirage7–13-0.0122%13 Oct →
inferno7–13-0.0421%13 Oct →
anubis13–10-0.0319%12 Oct →
cache4–130.0241%6 Oct →
inferno6–1-0.0433%6 Oct →
cache13–3-0.0130%6 Oct →
dust216–13-0.0020%6 Oct →
inferno13–7-0.0222%1 Oct →
inferno9–13-0.0414%27 Aug →
dust210–13-0.0431%27 Aug →
train13–4-0.0614%27 Aug →
cache12–12-0.0718%27 Aug →
overpass3–13-0.0320%27 Aug →
nuke13–110.0236%20 Aug →
mirage4–13-0.0124%20 Aug →
dust21–13-0.0125%20 Aug →
inferno6–13-0.0616%14 Aug →
nuke2–13-0.0325%14 Aug →
nuke11–13-0.0316%6 Aug →
dust213–7-0.0225%6 Aug →
cache4–90.026%6 Aug →
mirage13–70.0213%6 Aug →
dust213–110.0233%2 Aug →
inferno13–8-0.0615%2 Aug →
inferno13–110.0433%1 Aug →
debris7–9-0.1211%31 Jul →
inferno3–130.0460%31 Jul →
inferno15–15-0.0024%29 Jul →
cache13–90.0726%29 Jul →
fachwerk13–3-0.0115%29 Jul →
boulder13–9-0.0211%29 Jul →
cache3–13-0.1050%25 Jul →
mirage13–7-0.0215%25 Jul →
nuke4–130.0217%20 Jul →
inferno12–6-0.0721%20 Jul →
inferno16–14-0.0324%15 Jul →
dust213–20.0232%15 Jul →
nuke13–4-0.0423%15 Jul →
mirage13–20.2436%15 Jul →
shelter13–9-0.0313%15 Jul →
nuke13–50.0316%15 Jul →
mirage7–13-0.0729%14 Jul →
dust213–9-0.0512%14 Jul →
boulder3–13-0.0220%14 Jul →
ancient5–130.0729%13 Jul →
ancient6–130.0323%12 Jul →
mirage13–100.0916%12 Jul →
ancient13–60.0427%12 Jul →
dust222–190.0320%7 Jul →
overpass13–20.0728%5 Jul →
mirage11–130.0220%1 Jul →
mirage9–130.089%30 Jun →
dust213–110.0922%30 Jun →
inferno7–13-0.0310%30 Jun →
mirage12–20.0527%30 Jun →
nuke9–13-0.0519%30 Jun →
inferno16–120.0233%29 Jun →
dust216–120.0118%29 Jun →
dust23–13-0.094%24 Jun →
train9–13-0.0017%24 Jun →
dust213–60.0429%24 Jun →
overpass13–6-0.0130%24 Jun →
inferno9–13-0.0232%21 Jun →
anubis0–13-0.0716%21 Jun →
mirage13–80.1110%21 Jun →
dust210–130.0825%21 Jun →
dust213–40.0317%21 Jun →
ancient9–130.0921%17 Jun →
dust211–130.0125%17 Jun →
nuke13–40.0215%17 Jun →
inferno10–13-0.0715%16 Jun →
overpass13–16-0.0517%15 Jun →
mirage2–13-0.0927%15 Jun →
ancient9–13-0.0421%15 Jun →
overpass7–13-0.0525%13 Jun →
ancient6–13-0.0515%13 Jun →
inferno7–80.0130%13 Jun →
cache13–30.0435%10 Jun →
dust213–8-0.0311%10 Jun →
mirage13–50.004%10 Jun →
nuke13–90.0421%10 Jun →
overpass6–13-0.0712%10 Jun →
nuke13–11-0.0419%10 Jun →
mirage6–13-0.015%10 Jun →
cache6–130.0330%10 Jun →
cache0–7-0.070%10 Jun →
dust25–13-0.0610%9 Jun →
inferno16–14-0.0219%9 Jun →
mirage13–50.0521%9 Jun →
ancient13–100.0130%9 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.