Goother

Goother — CS2 Stats

76561198449767981[U:1:489502253]Steam profile ↗✓ No bans

1,896Tracked matches53%Win rate2020Tracked since
3,453Hours in CS26Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating18,659Top 50% of 213,399 CSDB-tracked playersPurple band · top ~13.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 18,659 +2,764 9 Sept – 4 Nov · 27 days played
15,36020,105peak 20,1059 Sept4 Nov
20,105Peak Premier in tracked matches
38Days played since 2026-08-31

Premier CS Rating

  • 1,446 below peak (20,105)
  • -413 over 30 days · declining
  • Next: Pink band at 20,000 — 1,341 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 Purple band among CSDB-tracked players (n=37,767), 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 rate41.7%44.4%46.9%5.2% short
Shot accuracy11.0%11.9%13.0%2.0% short
Kill/death ratio1.101.031.08meets
Match win rate48.8%45.2%46.7%above

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

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.GGGootherPREMIER18,659 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning58
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWWLWWWLWL

Last 10 vs previous 10: 0pp win rate · +0.07 avg rating · −4.8pp headshot accuracy · −5ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 15%
  • Avg reaction 533ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 552ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

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 (+1.7 against its own average).

Aim8.1
Utility5.1
Positioning5.8
Opening Duels3.8
Clutch1.6

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 99% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.1
Positioning5.8
Utility5.1
Mechanics8.1
Opening Duels4.3
Win Impact6.1

Composite 6.6/10 (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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time522ms−31ms
first ⅓ avg 552ms → last ⅓ avg 522ms
Headshot accuracy15.0%−3.4%
first ⅓ avg 18.4% → last ⅓ avg 15.0%

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

0.13Best match rating · 13–5 · cache, 3 Nov →
41%Best headshot accuracy · 13–7 · nuke, 2 Oct →
398msFastest reaction time · 13–6 · inferno, 4 Oct →
13–1Biggest win · nuke, 13 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 79% over 14ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
cacheS1914–574%0.02
nukeA159–660%0.01
dust2B158–753%-0.03
mirageC145–936%-0.02
infernoS1411–379%0.01
ancientD102–820%-0.02
vertigoA53–260%0.01
train—33–0100%-0.01
anubis—32–167%0.00
office—10–10%-0.03
overpass—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,956Lifetime kills
1.10K/D · Top 50% of Purple band
3,372Matches
48.8%Match win rate · Top 25% of Purple band
41.7%Headshot %
11.0%Shot accuracy
6,416MVPs
1,416Hours (in match)
4,001Bombs planted
899Bombs defused

Most-used weapons

AK-4717,415
AWP4,616
MP91,878
FAMAS1,293
P2501,248

Lifetime map wins

4,426inferno
3,158dust2
2,832nuke
2,604vertigo
1,617train
227office
132italy
44lake

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

Faceit stats

Combat

341Matches
51%Win rate
1.06Avg K/D
79.2ADR
36%Headshot %

Clutches & streaks

28%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3471%1.3116.1
Anubis2458%1.1715.8
Inferno2241%1.0614.8
Vertigo2148%1.1515.8
Ancient1747%1.1719.4
Nuke1267%1.0314.8
Dust21040%1.0516.3
Overpass425%1.0514.5

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.

15.2%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.9%Spray accuracy
86.5%Counter-strafing
9.9°Preaim
537msReaction time
50.2%T opening success
44.1%CT opening success
0.52Enemies flashed / flash
4.2%Flash assists
8.75HE damage / grenade
9.03Flashes / 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–130.0020%4 Nov →
cache13–50.139%3 Nov →
vertigo13–100.1017%3 Nov →
cache7–130.0713%3 Nov →
train13–100.0414%3 Nov →
nuke13–60.0111%3 Nov →
nuke13–70.059%3 Nov →
ancient11–130.0312%3 Nov →
ancient13–30.106%2 Nov →
anubis10–130.0217%31 Oct →
nuke13–7-0.0121%31 Oct →
office3–13-0.0316%30 Oct →
mirage13–11-0.0611%29 Oct →
nuke13–40.0322%29 Oct →
nuke3–130.0523%29 Oct →
train11–50.0223%26 Oct →
mirage8–13-0.0611%25 Oct →
inferno13–100.0120%25 Oct →
dust29–13-0.1022%25 Oct →
cache13–6-0.007%25 Oct →
overpass4–13-0.0717%24 Oct →
train13–4-0.084%24 Oct →
nuke7–130.0517%24 Oct →
nuke4–13-0.020%24 Oct →
cache9–13-0.0613%23 Oct →
mirage4–13-0.0611%23 Oct →
vertigo5–13-0.0925%23 Oct →
mirage13–9-0.0115%22 Oct →
cache13–11-0.0315%22 Oct →
inferno13–60.0422%21 Oct →
inferno11–13-0.0420%21 Oct →
ancient11–13-0.0624%21 Oct →
cache13–70.015%20 Oct →
mirage4–13-0.0118%20 Oct →
nuke13–8-0.0516%20 Oct →
dust211–13-0.0312%19 Oct →
inferno13–11-0.0020%19 Oct →
mirage10–13-0.0530%19 Oct →
dust213–80.0217%14 Oct →
cache16–140.0510%14 Oct →
cache13–100.0815%13 Oct →
cache8–13-0.0120%13 Oct →
nuke13–10.1220%13 Oct →
inferno9–130.0022%13 Oct →
cache8–13-0.0321%13 Oct →
inferno13–8-0.0313%12 Oct →
nuke6–13-0.0917%12 Oct →
dust27–13-0.0329%12 Oct →
ancient8–13-0.0117%12 Oct →
dust23–13-0.0326%10 Oct →
dust213–16-0.0213%10 Oct →
dust213–11-0.0021%9 Oct →
dust213–80.0124%9 Oct →
ancient4–13-0.0521%9 Oct →
dust213–11-0.0714%9 Oct →
dust216–14-0.0415%8 Oct →
dust27–13-0.027%8 Oct →
inferno6–9-0.0217%7 Oct →
ancient13–7-0.0214%7 Oct →
dust213–80.0120%6 Oct →
anubis13–10-0.0410%6 Oct →
ancient3–13-0.0318%6 Oct →
nuke10–13-0.0114%4 Oct →
nuke12–20.0221%4 Oct →
dust213–10-0.0416%4 Oct →
inferno13–60.0310%4 Oct →
inferno13–100.0511%4 Oct →
anubis13–50.0314%4 Oct →
inferno13–80.0336%4 Oct →
cache10–13-0.0532%4 Oct →
nuke13–7-0.0341%2 Oct →
vertigo13–11-0.0211%2 Oct →
cache13–70.1017%2 Oct →
inferno13–100.008%1 Oct →
mirage13–90.0618%1 Oct →
cache13–90.0617%30 Sept →
vertigo12–120.019%28 Sept →
vertigo13–110.0316%28 Sept →
mirage11–130.0720%28 Sept →
ancient6–13-0.0614%27 Sept →
cache13–100.0425%27 Sept →
inferno13–11-0.0215%26 Sept →
cache13–50.0126%26 Sept →
mirage15–150.0121%25 Sept →
cache13–80.0317%22 Sept →
mirage2–13-0.0418%22 Sept →
mirage1–13-0.156%19 Sept →
nuke13–20.0212%14 Sept →
inferno13–110.0114%14 Sept →
cache13–8-0.0317%14 Sept →
mirage9–13-0.0216%14 Sept →
dust28–13-0.0611%13 Sept →
inferno13–100.0714%12 Sept →
ancient9–13-0.029%12 Sept →
ancient3–13-0.0829%9 Sept →
cache13–110.0618%3 Sept →
cache13–11-0.0417%3 Sept →
mirage16–13-0.0024%31 Aug →
mirage13–20.1226%31 Aug →
dust213–110.0218%31 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 →

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