Goose'n Wild Emu, Violent Peck

Goose'n Wild Emu, Violent Peck — CS2 Stats

AU76561199054677412[U:1:1094411684]Steam profile ↗✓ No bans

1,544Tracked matches70%Win rate2020Tracked since
5,094Hours in CS6Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

+36Tracked matches · now 1,544
−4.6ppWin rate · 75.0% → 70.4%

Rating over time

24Days played since 2026-07-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,220), 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 7 medianLevel 8 medianvs Level 8
Headshot rate58.0%45.7%46.8%above
Shot accuracy11.3%12.7%13.0%1.8% short
Kill/death ratio1.611.051.06above
Match win rate27.2%45.7%46.3%19.1% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGoose'n Wild Emu, Violent…FACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning68
Utility55

0–100 skill scores via Leetify.

Recent form

HOT63–28–9Last 10063%Win rateLLWWTWWWWW

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating · +5.0pp headshot accuracy · +92ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 603ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 20%
  • Avg reaction 614ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 568ms

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 against its own average).

Aim8.1
Utility5.5
Positioning6.8
Opening Duels5.2

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

jL

Plays most like jL 96% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Reaction time. 576ms 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

Aim8.1
Positioning6.8
Utility5.5
Mechanics6.9
Opening Duels5.6
Win Impact10.0

Composite 7.2/10 (Strong), 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 rating0.04−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time569ms−29ms
first ⅓ avg 597ms → last ⅓ avg 569ms
Headshot accuracy18.5%−1.4%
first ⅓ avg 19.9% → last ⅓ avg 18.5%

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

0.17Best match rating · 13–3 · nuke, 2 Oct →
42%Best headshot accuracy · 11–13 · train, 2 Aug →
219msFastest reaction time · 0–2 · vertigo, 27 Sept →
13–0Biggest win · cache, 1 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
5–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 89% over 9nukeWeakest map · 55% over 11
MapGradePlayedRecordWin rateAvg rating
cacheA169–756%0.05
ancientS1410–471%0.05
infernoA127–558%0.04
nukeA116–555%0.03
anubisA116–555%0.03
vertigoS107–370%0.05
overpassS98–189%0.08
trainS86–275%0.06
mirage—32–167%0.06
office—31–233%0.04
shelter—11–0100%-0.04
dust2—10–10%0.01
boulder—10–10%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (55% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,666Lifetime kills
1.61K/D · Top 5% of Level 7 players
4,243Matches
27.2%Match win rate
58.0%Headshot % · Top 10% of Level 7 players
11.3%Shot accuracy
6,474MVPs
12,673Hours (in match)
2,381Bombs planted
701Bombs defused

Most-used weapons

Lifetime map wins

3,060inferno
1,897nuke
1,730vertigo
1,549dust2
1,181train
369office
116cbble
73lake

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

Faceit stats

Combat

77Matches
60%Win rate
1.49Avg K/D
—ADR
39%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

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
35.8%Accuracy (enemy spotted)
41.7%Spray accuracy
81.2%Counter-strafing
8.6°Preaim
576msReaction time
51.9%T opening success
52.7%CT opening success
0.63Enemies flashed / flash
4.4%Flash assists
10.11HE damage / grenade
8.69Flashes / match

Recent matches

MapScoreRatingHS%Date
cache8–130.0018%10 Oct →
nuke7–13-0.0425%10 Oct →
cache13–90.0429%10 Oct →
anubis13–100.0420%10 Oct →
inferno12–120.0932%10 Oct →
overpass13–90.1216%8 Oct →
nuke13–100.0818%8 Oct →
mirage13–100.0912%2 Oct →
inferno13–110.0416%2 Oct →
nuke13–30.1718%2 Oct →
train13–50.0118%2 Oct →
vertigo13–100.0726%2 Oct →
cache10–13-0.0125%27 Sept →
anubis4–13-0.0717%27 Sept →
vertigo0–2-0.060%27 Sept →
overpass5–10.117%27 Sept →
ancient13–110.0117%25 Sept →
nuke10–13-0.0413%25 Sept →
ancient13–40.0227%25 Sept →
shelter7–1-0.045%25 Sept →
vertigo12–120.1117%25 Sept →
ancient13–110.0727%18 Sept →
mirage13–60.0325%18 Sept →
train13–50.0713%18 Sept →
ancient8–130.0521%18 Sept →
inferno13–110.0612%18 Sept →
cache13–80.0517%13 Sept →
cache12–120.0718%13 Sept →
nuke13–9-0.0221%4 Sept →
office2–130.0521%4 Sept →
office13–70.0423%4 Sept →
cache13–30.0926%3 Sept →
vertigo13–3-0.0112%3 Sept →
cache13–40.0226%3 Sept →
ancient13–90.0823%3 Sept →
inferno2–13-0.0629%3 Sept →
inferno13–80.0930%1 Sept →
overpass13–40.0634%1 Sept →
ancient13–90.0220%1 Sept →
overpass13–70.0923%28 Aug →
nuke13–20.0520%28 Aug →
inferno11–30.0010%26 Aug →
cache13–60.1010%26 Aug →
nuke8–13-0.0415%24 Aug →
anubis13–90.0619%24 Aug →
mirage15–150.0522%24 Aug →
anubis8–130.0517%24 Aug →
ancient9–130.0215%24 Aug →
dust27–130.0124%24 Aug →
inferno9–50.0018%17 Aug →
overpass13–40.0518%17 Aug →
cache12–120.0319%17 Aug →
train9–130.0719%13 Aug →
overpass13–50.1412%13 Aug →
inferno7–130.0427%13 Aug →
ancient13–20.1515%13 Aug →
train13–100.1019%13 Aug →
vertigo13–90.0522%11 Aug →
ancient13–10.127%11 Aug →
anubis13–70.0817%10 Aug →
nuke13–70.0817%10 Aug →
overpass13–30.0217%10 Aug →
nuke13–110.0320%10 Aug →
cache8–130.0323%6 Aug →
train13–10.1127%5 Aug →
ancient13–60.1329%5 Aug →
anubis13–40.0335%5 Aug →
cache12–120.0114%2 Aug →
inferno9–130.0929%2 Aug →
train11–130.0742%2 Aug →
ancient7–13-0.0715%2 Aug →
nuke12–120.0112%2 Aug →
inferno3–13-0.0425%1 Aug →
ancient5–13-0.0521%1 Aug →
cache13–00.0530%1 Aug →
train13–30.0314%1 Aug →
cache7–13-0.0015%1 Aug →
ancient13–60.0619%1 Aug →
overpass13–80.0517%1 Aug →
anubis13–100.0113%1 Aug →
vertigo12–120.0017%1 Aug →
train13–40.0533%1 Aug →
anubis12–120.0415%30 Jul →
vertigo13–40.0617%30 Jul →
inferno11–30.0912%30 Jul →
anubis3–13-0.0128%30 Jul →
vertigo13–30.0622%30 Jul →
cache13–100.1621%30 Jul →
vertigo13–30.1522%30 Jul →
anubis8–130.029%30 Jul →
vertigo13–20.0820%29 Jul →
overpass11–130.0418%29 Jul →
office10–130.0322%29 Jul →
inferno13–50.1036%29 Jul →
cache13–40.0916%29 Jul →
boulder5–13-0.019%28 Jul →
cache13–90.0618%28 Jul →
ancient13–40.0219%28 Jul →
anubis13–50.1216%28 Jul →
nuke8–130.0120%28 Jul →

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 →

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