Goober-iwnl-

Goober-iwnl- — CS2 Stats

US76561198256587609[U:1:296321881]Steam profile ↗✓ No bans

1,129Tracked matches44%Win rate2020Tracked since
3,104Hours in CS12Hrs last 2 wks
CSDB Rating6.8 SolidSupport
Premier CS Rating22,567Top 25% of 205,052 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#47412 of 252455 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (14 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: 22,567 -133 25 Mar – 3 Oct · 29 days played
21,31823,278peak 23,27825 Mar3 Oct
23,384Peak Premier in tracked matches
1,535Highest Faceit ELO seen on CSDB
59Days played since 2026-03-25

Faceit ELO

  • At peak — 1,535
  • Next: Level 9 at 1,751 — 216 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 711 below peak (23,278)
  • -123 over 30 days · steady
  • +54 over 90 days
  • Next: Red band at 25,000 — 2,433 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate56.4%46.9%49.3%above
Shot accuracy10.4%13.0%13.4%2.9% short
Kill/death ratio1.311.081.12above
Match win rate42.5%46.7%48.5%6.0% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGGoober-iwnl-PREMIER22,567 · Pink bandPEAK ELO1,535csdb.gg/stats

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Performance scores

Aim90
Positioning61
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLLWWWWLWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · +39ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 505ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 522ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 502ms

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 (+1.6 against its own average).

Aim9.0
Utility6.4
Positioning6.1
Opening Duels3.4
Clutch3.2

Sharp aimer

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 96% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 50% on CT to 33% 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

Aim9.0
Positioning6.1
Utility6.4
Mechanics7.6
Opening Duels2.9
Win Impact3.1

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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time508ms−104ms
first ⅓ avg 613ms → last ⅓ avg 508ms
Headshot accuracy20.2%−2.7%
first ⅓ avg 22.9% → last ⅓ avg 20.2%

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

0.24Best match rating · 9–1 · inferno, 7 Jun →
42%Best headshot accuracy · 13–2 · nuke, 7 Jun →
375msFastest reaction time · 13–7 · nuke, 3 Oct →
13–0Biggest win · mirage, 9 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 89% over 9dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeC219–1243%0.04
mirageC197–1237%0.01
infernoA138–562%0.05
ancientC125–742%0.03
dust2D113–827%0.00
cacheB105–550%0.04
anubisS98–189%0.05
overpass—32–167%0.01
vertigo—21–150%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,261Lifetime kills
1.31K/D · Top 25% of Pink band
3,851Matches
42.5%Match win rate
56.4%Headshot % · Top 25% of Pink band
10.4%Shot accuracy
9,718MVPs
2,446Hours (in match)
4,473Bombs planted
1,260Bombs defused

Most-used weapons

AK-4746,952
AWP9,774
FAMAS2,519
P2501,927
Tec-91,720
UMP-451,564

Lifetime map wins

7,282dust2
5,865inferno
2,310nuke
1,219train
816cbble
311vertigo
191office
116shorttrain

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

Faceit stats

Combat

260Matches
53%Win rate
1.26Avg K/D
87.1ADR
53%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5444%1.1917.2
Ancient4745%1.2217.2
Nuke3266%1.4918.8
Dust22850%1.0214.0
Overpass2370%1.2418.3
Anubis2357%1.3416.0
Inferno2255%1.2218.8
Train650%1.1117.7

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.

21.3%Headshot accuracy
38.9%Accuracy (enemy spotted)
45.8%Spray accuracy
84.4%Counter-strafing
9.6°Preaim
507msReaction time
33.3%T opening success
50.2%CT opening success
0.58Enemies flashed / flash
3.8%Flash assists
10.45HE damage / grenade
11.55Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.3205% — 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.

27% win rate across 11 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
dust23–13-0.0115%4 Oct →
inferno8–130.0534%3 Oct →
nuke13–70.0626%3 Oct →
mirage13–110.0928%2 Oct →
anubis13–110.0527%1 Oct →
cache13–80.1119%30 Sept →
dust210–13-0.0215%27 Sept →
inferno13–70.0615%26 Sept →
mirage4–13-0.0418%25 Sept →
inferno8–13-0.0628%25 Sept →
ancient11–130.0420%25 Sept →
nuke7–130.0426%24 Sept →
inferno4–30.065%24 Sept →
ancient9–13-0.0231%24 Sept →
mirage8–13-0.0319%24 Sept →
vertigo4–13-0.0324%24 Sept →
inferno5–130.0422%24 Sept →
vertigo13–20.1341%23 Sept →
nuke10–130.0418%20 Sept →
ancient16–140.0921%20 Sept →
nuke6–130.0124%15 Sept →
cache16–120.0810%10 Sept →
cache15–150.1219%8 Sept →
mirage13–70.0116%8 Sept →
cache13–60.0916%8 Sept →
nuke15–150.0120%7 Sept →
ancient13–100.0222%7 Sept →
nuke11–130.0716%7 Sept →
mirage9–13-0.0213%7 Sept →
mirage15–150.1127%5 Sept →
mirage13–40.0614%5 Sept →
nuke9–130.1013%5 Sept →
ancient13–9-0.016%4 Sept →
anubis6–13-0.0124%4 Sept →
cache13–30.0519%4 Sept →
nuke13–110.0214%4 Sept →
ancient3–130.0128%2 Sept →
ancient11–130.0819%1 Sept →
nuke13–160.0225%31 Aug →
cache13–40.0220%31 Aug →
nuke7–13-0.0432%31 Aug →
mirage13–110.0020%28 Aug →
cache15–15-0.0320%30 Jul →
nuke13–110.0421%17 Jul →
anubis13–60.0713%9 Jul →
mirage13–00.027%9 Jul →
overpass22–180.0413%6 Jul →
dust213–50.0715%29 Jun →
nuke9–130.059%29 Jun →
nuke13–70.1631%27 Jun →
nuke13–6-0.0121%27 Jun →
inferno13–11-0.0317%25 Jun →
mirage6–13-0.0217%25 Jun →
ancient15–150.0428%11 Jun →
overpass10–13-0.0320%7 Jun →
nuke13–20.1142%7 Jun →
inferno9–10.2422%7 Jun →
inferno9–30.1030%7 Jun →
ancient8–13-0.0124%6 Jun →
inferno9–130.0024%4 Jun →
mirage11–130.0717%4 Jun →
anubis13–00.0613%3 Jun →
anubis13–60.0914%2 Jun →
ancient13–50.1420%2 Jun →
nuke13–70.0916%1 Jun →
dust26–13-0.0314%31 May →
anubis13–80.1617%30 May →
ancient13–110.0317%26 May →
dust212–120.0625%25 May →
mirage13–10-0.0118%20 May →
nuke11–130.0822%18 May →
dust213–6-0.0324%17 May →
nuke13–3-0.0022%17 May →
nuke13–80.0725%16 May →
anubis13–50.0024%16 May →
mirage14–16-0.076%12 May →
cache5–13-0.0721%9 May →
mirage13–100.0824%3 May →
cache6–130.0119%3 May →
cache13–160.0725%27 Apr →
mirage8–130.0329%25 Apr →
overpass16–120.0219%21 Apr →
dust22–130.0031%20 Apr →
dust23–13-0.0219%19 Apr →
inferno13–6-0.0028%16 Apr →
dust29–13-0.0720%16 Apr →
mirage8–13-0.0417%11 Apr →
dust216–140.0327%11 Apr →
inferno11–130.0122%10 Apr →
nuke10–130.0216%4 Apr →
ancient6–13-0.0523%31 Mar →
inferno13–70.0539%31 Mar →
nuke9–13-0.0118%31 Mar →
anubis13–100.0225%29 Mar →
dust215–150.0418%29 Mar →
anubis13–80.0122%29 Mar →
mirage3–13-0.0226%28 Mar →
mirage5–13-0.0039%28 Mar →
inferno9–30.0924%25 Mar →
mirage12–160.0124%25 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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