Goat

Goat — CS2 Stats

76561199093085101[U:1:1132819373]Steam profile ↗✓ No bans

629Tracked matches36%Win rate2021Tracked since
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating8,342Light Blue band · top ~62.8% of ranked players (population est.)
FaceitLevel 7 · 722 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (7 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. 39 days played since 11 Jul 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: 8,342 +1,098 5 Aug11 Sept · 13 days played
7,2449,582peak 9,5825 Aug11 Sept
9,792Peak Premier in tracked matches
722Highest Faceit ELO seen on CSDB
39Days played since 2026-07-11

Faceit ELO

  • At peak — 722
  • Next: Level 3 at 751 29 to go
  • Reached: Level 2

Premier CS Rating

  • 1,240 below peak (9,582)
  • -454 over 30 days · declining
  • Next: Blue band at 10,000 1,658 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGGoatFACEITLevel 7 · 722 ELOSTANDINGTop 42.3% of rankedPREMIER8,342 · Light Blue bandPEAK ELO722csdb.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

Aim63
Positioning56
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY49447Last 10049%Win rateLLLWTTWWWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −37ms 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

  • 131 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 491ms

Last 10

  • 442 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 544ms

Last 20

  • 6113 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 562ms

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 (+1.1 against its own average).

Aim6.3
Utility3.8
Positioning5.6
Opening Duels4.7
Clutch4.0

Strong T-side opener

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower 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

Areas to improve

Reaction time. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3
Positioning5.6
Utility3.8
Mechanics4.1
Opening Duels3.4
Win Impact0.2

Composite 4.1/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time580ms−61ms
first ⅓ avg 641ms → last ⅓ avg 580ms
Headshot accuracy16.6%+1.9%
first ⅓ avg 14.7% → last ⅓ avg 16.6%

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

0.16Best match rating · 16–14 · inferno, 12 Jul
43%Best headshot accuracy · 5–13 · dust2, 11 Sept
422msFastest reaction time · 9–7 · inferno, 1 Sept
13–1Biggest win · cache, 15 Jul

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
72In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 78% over 18dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB28131546%-0.02
infernoS1814478%0.01
nukeA149564%-0.03
cacheC145936%-0.01
anubisC83538%0.02
ancientD62433%-0.03
dust2D5050%-0.01
train31233%0.03
vertigo31233%-0.03
poseidon110100%0.15

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

399Matches
50%Win rate
0.84Avg K/D
69.0ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage13153%0.8212.4
Anubis5654%0.8813.4
Dust25248%0.8913.2
Nuke4850%0.8312.8
Ancient4549%0.9013.8
Inferno3636%0.7412.5
Cache2556%0.8612.3
Overpass650%0.589.3

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.

16.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
37.1%Spray accuracy
68.7%Counter-strafing
8.5°Preaim
579msReaction time
46.9%T opening success
40.1%CT opening success
0.45Enemies flashed / flash
4.4%Flash assists
5.73HE damage / grenade
6.51Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4531 — below the 0.5 mark we flag

    Grenade Lineups
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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0414%17 Sept
nuke1–9-0.190%16 Sept
train7–13-0.0411%16 Sept
nuke13–10-0.0537%16 Sept
anubis12–120.0221%16 Sept
vertigo8–8-0.0514%16 Sept
inferno13–3-0.0316%16 Sept
anubis13–30.0413%16 Sept
inferno9–60.0530%14 Sept
vertigo7–13-0.049%14 Sept
cache5–13-0.0211%11 Sept
dust25–13-0.1143%11 Sept
mirage12–120.0015%10 Sept
mirage8–13-0.1116%10 Sept
inferno6–90.029%9 Sept
inferno3–9-0.0718%9 Sept
mirage8–13-0.0213%9 Sept
train13–100.0515%9 Sept
mirage13–100.0518%6 Sept
cache7–13-0.0325%5 Sept
mirage13–20.0622%2 Sept
cache7–13-0.027%2 Sept
inferno9–70.0015%1 Sept
inferno9–6-0.0913%1 Sept
inferno9–70.034%1 Sept
inferno9–30.0814%1 Sept
nuke9–5-0.0610%1 Sept
nuke9–50.0228%1 Sept
dust210–130.0819%31 Aug
ancient5–13-0.0914%31 Aug
mirage4–13-0.0318%31 Aug
cache8–130.0220%31 Aug
inferno9–30.1519%31 Aug
mirage3–130.0411%31 Aug
inferno9–3-0.155%30 Aug
inferno9–50.0315%30 Aug
inferno9–50.1613%30 Aug
mirage7–20.1119%30 Aug
nuke9–60.1017%29 Aug
anubis6–130.036%29 Aug
dust28–130.0215%29 Aug
cache6–13-0.0614%28 Aug
nuke13–8-0.0913%28 Aug
ancient13–110.0114%28 Aug
mirage10–130.0412%27 Aug
cache13–30.1016%27 Aug
mirage13–4-0.0414%26 Aug
mirage15–15-0.0110%26 Aug
inferno11–13-0.0111%25 Aug
mirage19–15-0.0913%25 Aug
mirage15–15-0.0316%24 Aug
anubis9–130.1119%24 Aug
mirage13–7-0.0542%23 Aug
mirage13–9-0.026%23 Aug
nuke7–13-0.0917%23 Aug
cache1–13-0.0727%23 Aug
cache13–4-0.064%22 Aug
mirage5–13-0.0521%21 Aug
dust25–13-0.0320%21 Aug
anubis11–13-0.0619%14 Aug
dust215–150.0013%14 Aug
inferno3–9-0.0833%14 Aug
nuke13–6-0.038%9 Aug
nuke13–40.0833%9 Aug
mirage10–13-0.0713%8 Aug
mirage5–13-0.073%7 Aug
anubis13–5-0.0120%6 Aug
cache3–13-0.063%6 Aug
inferno9–5-0.0138%5 Aug
inferno13–11-0.0524%5 Aug
nuke0–5-0.040%5 Aug
inferno9–7-0.0223%5 Aug
mirage11–6-0.0425%5 Aug
anubis13–110.0116%4 Aug
nuke7–13-0.1018%4 Aug
ancient10–13-0.0310%4 Aug
anubis8–13-0.008%1 Aug
train12–120.0813%29 Jul
mirage13–9-0.0015%29 Jul
mirage8–13-0.0320%28 Jul
cache6–13-0.0423%28 Jul
mirage12–16-0.078%27 Jul
cache13–60.0118%26 Jul
ancient6–13-0.0517%25 Jul
mirage4–13-0.0911%16 Jul
mirage13–90.047%15 Jul
mirage13–60.0215%15 Jul
cache13–4-0.0518%15 Jul
vertigo9–40.0120%15 Jul
cache13–10.067%15 Jul
nuke13–80.0517%13 Jul
mirage13–60.0114%13 Jul
mirage13–7-0.0311%13 Jul
nuke9–60.0112%13 Jul
cache9–130.049%13 Jul
ancient13–8-0.0210%12 Jul
inferno16–140.1616%12 Jul
poseidon9–50.1515%12 Jul
nuke10–13-0.037%12 Jul
ancient9–13-0.0119%11 Jul

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 →