Goon Bird

Goon Bird — CS2 Stats

US76561198171879297[U:1:211613569]Steam profile ↗✓ No bans

1,848Tracked matches68%Win rate2020Tracked since
2,540Hours in CS32Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating17,944Purple band · top ~16.7% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 3 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 17,944 +2,568 3 Aug20 Sept · 25 days played
14,83218,657peak 18,6573 Aug20 Sept
18,657Peak Premier in tracked matches
37Days played since 2026-08-03

Premier CS Rating

  • 713 below peak (18,657)
  • +1,660 over 30 days · improving
  • Next: Pink band at 20,000 2,056 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

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 Purple band among CSDB-tracked players (n=37,147), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate46.0%44.3%46.9%1.0% short
Shot accuracy2.7%11.8%13.0%10.2% short
Kill/death ratio0.941.031.080.14 short
Match win rate41.9%45.2%46.7%4.8% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGGoon BirdPREMIER17,944 · Purple 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

Aim66
Positioning63
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY58375Last 10058%Win rateLLWWWLWLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −0.1pp headshot accuracy · −60ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 574ms

Last 20

  • 146 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 604ms

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 PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim6.6
Utility6.0
Positioning6.3
Opening Duels3.0

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 76% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 76% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 609ms 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

Aim6.6
Positioning6.3
Utility6.0
Mechanics7.6
Opening Duels6.1
Win Impact10.0

Composite 6.9/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time607ms−39ms
first ⅓ avg 646ms → last ⅓ avg 607ms
Headshot accuracy19.3%−1.0%
first ⅓ avg 20.3% → last ⅓ avg 19.3%

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

0.21Best match rating · 13–1 · train, 15 Aug
57%Best headshot accuracy · 11–2 · overpass, 9 Aug
438msFastest reaction time · 7–13 · cache, 9 Aug
13–1Biggest win · mirage, 26 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
96In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 71% over 7ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoS2014670%0.03
cacheC167944%0.00
officeA149564%0.02
anubisA127558%-0.01
dust2A117464%0.02
mirageS75271%-0.01
ancientD61517%-0.03
nukeC52340%0.02
vertigo42250%-0.04
train32167%0.08
boulder110100%0.04
overpass110100%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,451Lifetime kills
0.94K/D
3,064Matches
41.9%Match win rate
46.0%Headshot % · Top 50% of Purple band
2.7%Shot accuracy
5,142MVPs
1,272Hours (in match)
2,042Bombs planted
464Bombs defused

Most-used weapons

AK-4713,430
AWP4,145
MAC-102,180
XM10141,894
MP91,058
P90974

Lifetime map wins

4,909dust2
3,469nuke
3,079inferno
2,412office
1,522vertigo
1,087train
148italy
23ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.4%Headshot accuracy
31.0%Accuracy (enemy spotted)
35.2%Spray accuracy
84.1%Counter-strafing
9.9°Preaim
609msReaction time
75.5%T opening success
38.4%CT opening success
0.56Enemies flashed / flash
9.2%Flash assists
13.25HE damage / grenade
7.58Flashes / 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 38.445% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
office8–13-0.0315%21 Sept
inferno11–130.0625%20 Sept
office13–8-0.068%20 Sept
boulder13–90.049%19 Sept
anubis13–9-0.0226%19 Sept
cache2–13-0.0521%19 Sept
office8–50.0832%19 Sept
dust24–130.0218%19 Sept
anubis13–110.0423%19 Sept
inferno13–110.1019%18 Sept
dust213–110.0126%18 Sept
inferno13–60.0212%17 Sept
train13–9-0.0122%17 Sept
office13–70.1516%16 Sept
anubis13–60.0417%16 Sept
anubis9–13-0.0315%16 Sept
inferno13–70.0623%16 Sept
inferno9–60.0926%16 Sept
dust213–100.0917%15 Sept
cache11–13-0.0323%14 Sept
mirage16–13-0.0116%14 Sept
vertigo6–13-0.0511%13 Sept
inferno9–60.1320%13 Sept
inferno13–9-0.0028%13 Sept
dust212–12-0.0425%12 Sept
nuke13–3-0.017%12 Sept
mirage15–15-0.0625%12 Sept
anubis13–70.0219%12 Sept
cache10–13-0.0213%11 Sept
mirage13–11-0.0828%11 Sept
vertigo13–8-0.0724%11 Sept
dust23–130.0014%10 Sept
dust213–110.0114%9 Sept
inferno13–80.0226%9 Sept
anubis12–12-0.064%8 Sept
office13–80.0230%8 Sept
office7–130.0119%4 Sept
dust213–30.0515%4 Sept
office13–8-0.0214%3 Sept
cache13–8-0.0415%3 Sept
office13–30.0826%3 Sept
dust213–80.0216%2 Sept
office6–130.0831%31 Aug
office13–40.0420%30 Aug
nuke13–40.0915%30 Aug
inferno3–9-0.1820%29 Aug
inferno13–20.029%29 Aug
cache13–70.0617%29 Aug
office5–13-0.0718%29 Aug
vertigo13–6-0.0330%29 Aug
anubis7–130.0029%27 Aug
office13–10-0.0437%27 Aug
cache13–110.0825%26 Aug
cache11–130.0122%26 Aug
cache5–130.0217%26 Aug
vertigo6–13-0.0031%26 Aug
mirage13–10.0638%26 Aug
inferno9–130.0022%25 Aug
cache12–12-0.0116%25 Aug
dust212–12-0.0124%23 Aug
ancient3–13-0.0220%23 Aug
office5–13-0.0226%20 Aug
office13–50.1016%20 Aug
inferno13–60.0924%20 Aug
cache6–13-0.0317%17 Aug
ancient11–13-0.0115%17 Aug
nuke10–130.0120%17 Aug
ancient16–140.0426%16 Aug
inferno13–70.0630%15 Aug
train13–10.2129%15 Aug
inferno4–13-0.0219%15 Aug
cache13–90.0022%15 Aug
anubis4–13-0.0615%14 Aug
mirage16–130.0217%14 Aug
mirage13–90.0324%13 Aug
inferno13–8-0.0417%12 Aug
train10–130.0324%12 Aug
anubis13–100.0320%12 Aug
cache13–50.0227%9 Aug
inferno13–50.0724%9 Aug
dust213–80.0520%9 Aug
ancient1–13-0.079%9 Aug
inferno11–130.0923%9 Aug
overpass11–2-0.0257%9 Aug
cache7–13-0.0320%9 Aug
nuke14–160.0113%9 Aug
inferno13–110.0011%8 Aug
ancient3–13-0.0728%8 Aug
inferno4–13-0.0120%8 Aug
nuke7–130.0019%8 Aug
anubis8–13-0.0118%7 Aug
anubis13–11-0.0113%7 Aug
ancient4–13-0.0515%7 Aug
inferno13–10-0.0213%6 Aug
cache9–130.0524%6 Aug
anubis16–12-0.0515%6 Aug
cache13–7-0.0712%6 Aug
mirage6–13-0.0414%6 Aug
cache13–100.1013%5 Aug
dust213–6-0.0120%3 Aug

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 →