goober

goober — CS2 Stats

PT76561198798429794[U:1:838164066]Steam profile ↗✓ No bans

729Tracked matches57%Win rate2020Tracked since
2,424Hours in CS2Hrs last 2 wks
CSDB Rating4.3 Developing
Ladder ranks via Leetify

Performance scores

Aim52
Positioning53
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateLWWLLWWLLL

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

Aim5.2
Aggression6.4
Utility2.4
Positioning5.3
Opening Duels2.9
Clutch2.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 629ms 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

Aim5.2
Positioning5.3
Utility2.4
Mechanics5.6
Opening Duels2.9
Win Impact7.2

Composite 4.3/10 (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 -0.00 → last ⅓ avg -0.01
Reaction time631ms+5ms
first ⅓ avg 625ms → last ⅓ avg 631ms
Headshot accuracy20.3%−1.0%
first ⅓ avg 21.3% → last ⅓ avg 20.3%

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.

Highlights

0.20Best rating — inferno 9–4
131Biggest win — ancient
5Longest win streak
517In matches decided by ≤2 rounds
12Overtime games

Map breakdown

trainBest map · 83% over 6nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC26111542%-0.00
ancientB189950%-0.00
infernoC125742%-0.01
dust2B105550%0.00
nukeD81713%-0.08
vertigoA85363%0.00
overpassD72529%0.04
trainS65183%-0.01
cache110100%0.03
grail110100%-0.04
palais1010%-0.06
anubis1010%-0.04
edin110100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,063Lifetime kills
0.98K/D
3,744Matches
44.3%Match win rate
42.6%Headshot %
18.3%Shot accuracy · Top 10% of tracked players
22,067MVPs
1,587Hours (in match)
1,504Bombs planted
2,582Bombs defused

Most-used weapons

AWP24,494
AK-4721,245
Knife4,550
SSG 082,255
MP91,958
MAC-101,310

Lifetime map wins

7,489inferno
4,096vertigo
4,025dust2
2,349nuke
1,816train
816cbble
34lake
4office

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

Faceit stats

Combat

261Matches
52%Win rate
1.00Avg K/D
75.4ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5349%0.9013.8
Ancient2861%1.0215.3
Inferno1861%1.0613.6
Dust21753%1.0215.4
Nuke933%1.0615.0
Train825%0.8012.9
Anubis850%1.1216.5
Vertigo475%0.9713.3

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.

19.8%Headshot accuracy
29.3%Accuracy (enemy spotted)
32.8%Spray accuracy
75.3%Counter-strafing
10.1°Preaim
629msReaction time
40.2%T opening success
42.8%CT opening success
0.53Enemies flashed / flash
5.0%Flash assists
4.82HE damage / grenade
6.17Flashes / match

Recommended for you

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0412%18 Aug
inferno13–11-0.0129%26 Jul
ancient13–10.0111%25 Jul
mirage3–13-0.0315%16 May
mirage11–130.0617%10 May
ancient13–11-0.0221%10 May
cache13–100.0322%1 May
dust27–130.0431%11 Apr
ancient8–13-0.0223%14 Mar
nuke7–13-0.0819%14 Mar
ancient13–6-0.0515%11 Mar
mirage13–5-0.044%27 Feb
mirage5–13-0.0515%6 Dec
ancient13–110.0421%11 Oct
mirage13–30.0117%10 Oct
dust213–90.0519%10 Oct
ancient13–100.0121%4 Oct
train16–140.0117%4 Oct
dust211–13-0.0118%4 Oct
inferno13–5-0.0723%4 Oct
mirage4–13-0.0614%3 Oct
dust26–13-0.0527%29 Sept
nuke2–13-0.0633%27 Sept
mirage13–10-0.0319%27 Sept
train13–9-0.0118%26 Sept
overpass10–13-0.0214%26 Sept
mirage16–120.0221%15 Sept
dust213–60.0034%12 Sept
mirage10–00.0329%12 Sept
ancient3–13-0.0422%12 Sept
ancient8–130.0016%10 Sept
ancient13–60.0117%10 Sept
mirage13–90.0736%28 Jul
train13–11-0.0117%28 Jul
ancient9–13-0.018%6 Jul
ancient12–160.0116%3 Jul
mirage14–16-0.0214%22 Jun
nuke13–70.1315%19 Jun
dust213–10-0.0325%18 May
mirage8–13-0.0124%18 May
dust26–13-0.0119%14 May
grail13–2-0.0425%11 May
mirage13–100.0819%1 May
train16–130.0413%1 May
overpass13–20.0822%23 Apr
ancient12–16-0.0417%20 Apr
inferno13–100.0517%18 Apr
mirage11–13-0.0217%17 Apr
palais4–9-0.0640%12 Apr
nuke1–9-0.1580%12 Apr
mirage13–7-0.0212%12 Apr
ancient11–13-0.0411%30 Mar
dust216–130.0224%30 Mar
mirage9–130.0219%26 Mar
ancient13–6-0.016%23 Mar
anubis13–16-0.047%15 Mar
inferno14–160.0019%13 Mar
inferno5–9-0.0824%13 Mar
mirage15–150.0217%13 Mar
train9–13-0.0610%8 Mar
mirage16–13-0.0419%4 Mar
mirage10–130.0323%1 Mar
overpass8–130.0149%20 Feb
dust211–130.0129%7 Feb
mirage7–13-0.0519%27 Jan
mirage11–13-0.0212%19 Jan
dust213–90.0221%19 Jan
edin13–80.0619%16 Nov
train13–4-0.0518%16 Nov
nuke11–13-0.0531%7 Nov
inferno12–120.0126%3 Nov
vertigo13–80.0323%3 Nov
vertigo16–13-0.0412%19 Apr
mirage13–10-0.0014%19 Apr
vertigo13–30.0521%19 Apr
inferno11–13-0.0545%23 Feb
nuke1–13-0.0911%16 Feb
ancient11–130.0222%9 Feb
mirage13–70.0227%9 Feb
vertigo13–10-0.0323%28 Jan
ancient13–9-0.0019%28 Jan
overpass0–80.000%26 Jan
overpass9–10.1622%22 Jan
inferno7–9-0.0828%22 Jan
inferno2–9-0.2614%22 Jan
overpass7–9-0.0239%17 Jan
vertigo7–9-0.0118%17 Jan
inferno9–40.2025%17 Jan
inferno9–10.1425%17 Jan
nuke0–9-0.2221%17 Jan
overpass8–80.0939%15 Jan
nuke2–9-0.1717%15 Jan
ancient7–130.026%7 Jan
vertigo13–70.0615%7 Jan
mirage2–13-0.0022%26 Dec
ancient13–40.0626%26 Dec
mirage4–130.0523%2 Dec
vertigo6–13-0.0413%2 Dec
inferno11–13-0.0128%27 Nov
vertigo11–130.0113%27 Nov

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →