Goats

Goats — CS2 Stats

76561198797634966[U:1:837369238]Steam profile ↗✓ No bans

6,984Tracked matches38%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating7,331Light Blue band · top ~67.7% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (3 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: 7,331 -3,236 31 Aug – 27 Oct · 8 days played
7,33110,567peak 10,56731 Aug27 Oct
10,567Peak Premier in tracked matches
9Days played since 2026-08-31

Premier CS Rating

  • 3,236 below peak (10,567)
  • Next: Blue band at 10,000 — 2,669 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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

Share this profile

CSDB.GGGoatsFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER7,331 · Light Blue bandcsdb.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

Aim58
Positioning52
Utility42

0–100 skill scores via Leetify.

Recent form

COLD43–52–5Last 10043%Win rateLLLLLWWLTL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.3pp headshot accuracy · −9ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 716ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 681ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 685ms

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 (+1.1 against its own average).

Aim5.8
Utility4.2
Positioning5.2
Opening Duels2.9

Effective flashesLimited utility dependence

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Flashes. 0.90 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 63% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 681ms 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

Aim5.8
Positioning5.2
Utility4.2
Mechanics6.9
Opening Duels5.4
Win Impact1.0

Composite 4.6/10 (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 -0.01 → last ⅓ avg -0.01
Reaction time676ms−1ms
first ⅓ avg 677ms → last ⅓ avg 676ms
Headshot accuracy12.5%+0.9%
first ⅓ avg 11.6% → last ⅓ avg 12.5%

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

0.13Best match rating · 13–7 · nuke, 18 Oct →
35%Best headshot accuracy · 9–13 · inferno, 15 Oct →
531msFastest reaction time · 9–13 · inferno, 24 Oct →
13–1Biggest win · dust2, 20 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
6–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C2511–1444%-0.01
nukeC176–1135%-0.01
mirageC156–940%-0.02
ancientA149–564%-0.01
infernoD133–1023%-0.03
cacheB115–645%-0.01
anubisA53–260%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
0%Win rate
0.47Avg K/D
—ADR
24%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

11.8%Headshot accuracy
36.5%Accuracy (enemy spotted)
35.6%Spray accuracy
80.9%Counter-strafing
9.2°Preaim
681msReaction time
62.7%T opening success
40.4%CT opening success
0.90Enemies flashed / flash
5.8%Flash assists
7.83HE damage / grenade
3.29Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8029% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2885 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0715%27 Oct →
ancient8–13-0.0221%27 Oct →
nuke4–130.027%27 Oct →
inferno5–13-0.086%27 Oct →
inferno5–130.0217%26 Oct →
anubis13–60.0512%26 Oct →
mirage13–5-0.0412%26 Oct →
mirage12–16-0.119%26 Oct →
dust215–150.053%26 Oct →
cache11–13-0.0417%26 Oct →
nuke10–13-0.047%26 Oct →
mirage4–13-0.0319%26 Oct →
dust213–70.0916%26 Oct →
ancient13–10-0.066%26 Oct →
dust213–60.079%26 Oct →
dust28–130.0116%26 Oct →
mirage13–11-0.0511%26 Oct →
nuke8–13-0.0713%24 Oct →
dust213–8-0.006%24 Oct →
nuke9–13-0.0113%24 Oct →
inferno5–130.0119%24 Oct →
dust26–13-0.066%24 Oct →
inferno9–13-0.0213%24 Oct →
nuke13–3-0.0115%24 Oct →
dust28–13-0.025%24 Oct →
anubis13–70.0212%24 Oct →
dust213–70.0110%24 Oct →
dust27–130.0418%24 Oct →
nuke13–60.0016%24 Oct →
inferno11–130.0212%24 Oct →
cache13–20.0015%24 Oct →
dust27–13-0.0127%24 Oct →
nuke13–7-0.009%24 Oct →
dust212–120.0411%24 Oct →
dust25–5-0.1211%23 Oct →
nuke9–13-0.0318%22 Oct →
dust213–60.0624%22 Oct →
dust24–13-0.072%22 Oct →
ancient13–11-0.084%22 Oct →
dust213–6-0.049%22 Oct →
cache13–9-0.0513%22 Oct →
inferno2–9-0.073%22 Oct →
inferno7–00.0618%22 Oct →
ancient13–8-0.0511%22 Oct →
nuke4–130.026%22 Oct →
dust28–13-0.063%22 Oct →
inferno9–13-0.0111%22 Oct →
ancient13–90.032%22 Oct →
mirage13–110.0418%22 Oct →
cache12–12-0.106%22 Oct →
inferno13–11-0.0819%22 Oct →
ancient4–13-0.0212%22 Oct →
dust23–13-0.033%22 Oct →
nuke12–120.0210%20 Oct →
dust210–13-0.068%20 Oct →
ancient13–70.1116%20 Oct →
mirage10–130.0015%20 Oct →
nuke8–1-0.080%20 Oct →
dust213–6-0.017%20 Oct →
anubis13–100.0318%20 Oct →
nuke10–13-0.059%20 Oct →
nuke7–13-0.037%20 Oct →
dust213–10.084%20 Oct →
mirage4–130.097%20 Oct →
mirage7–130.0023%20 Oct →
dust22–13-0.0922%20 Oct →
ancient13–9-0.0114%20 Oct →
mirage9–13-0.017%20 Oct →
ancient12–120.019%20 Oct →
nuke7–1-0.033%20 Oct →
inferno5–13-0.1023%20 Oct →
ancient13–90.058%18 Oct →
nuke13–70.1313%18 Oct →
inferno13–2-0.016%17 Oct →
ancient13–50.017%17 Oct →
mirage10–13-0.056%17 Oct →
nuke13–16-0.0210%17 Oct →
mirage13–7-0.057%17 Oct →
cache13–30.0321%17 Oct →
ancient16–140.0112%17 Oct →
anubis0–20.0529%17 Oct →
mirage7–13-0.005%17 Oct →
dust213–6-0.0411%17 Oct →
dust213–6-0.0512%17 Oct →
dust213–40.0313%15 Oct →
cache16–140.0312%15 Oct →
mirage16–13-0.0212%15 Oct →
mirage13–4-0.042%15 Oct →
mirage10–13-0.0214%15 Oct →
cache0–130.0212%15 Oct →
cache13–7-0.026%15 Oct →
cache11–13-0.0511%15 Oct →
inferno9–13-0.0235%15 Oct →
dust21–13-0.043%15 Oct →
anubis10–13-0.0411%15 Oct →
nuke8–13-0.0010%15 Oct →
cache10–130.0114%15 Oct →
inferno2–2-0.0413%15 Oct →
cache2–60.0817%15 Oct →
ancient11–13-0.0210%15 Oct →

Match data via Leetify.

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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