goatmode

goatmode — CS2 Stats

76561199520722517[U:1:1560456789]Steam profile ↗✓ No bans

2,173Tracked matches43%Win rate2023Tracked since
CSDB Rating5.6 SolidPositional 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 13 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

+38Tracked matches · now 2,173
−8.9ppWin rate · 51.7% → 42.9%

Rating over time

Premier CS Rating: 18,029 -1,185 8 Apr – 5 Jul · 4 days played
18,02920,103peak 20,1038 Apr5 Jul
20,103Peak Premier in tracked matches
1,369Highest Faceit ELO seen on CSDB
38Days played since 2026-01-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGgoatmodeFACEITLevel 7STANDINGTop 42.3% of rankedPEAK ELO1,369csdb.gg/stats

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Performance scores

Aim73
Positioning52
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY61–33–6Last 10061%Win rateLLTWWWWWWW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −8.3pp headshot accuracy · +116ms 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 -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 650ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 631ms

Last 20

  • 15–3–2 · 75% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 574ms

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).

Aim7.3
Utility4.5
Positioning5.2
Opening Duels3.7
Clutch3.4

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 96% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

T-side openings. Opening success drops from 49% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim7.3
Positioning5.2
Utility4.5
Mechanics7.3
Opening Duels2.9
Win Impact2.6

Composite 5.6/10 (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 rating0.07+0.04
first ⅓ avg 0.03 → last ⅓ avg 0.07
Reaction time579ms−68ms
first ⅓ avg 647ms → last ⅓ avg 579ms
Headshot accuracy23.5%+1.0%
first ⅓ avg 22.5% → last ⅓ avg 23.5%

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

0.26Best match rating · 9–0 · overpass, 3 Apr →
100%Best headshot accuracy · 9–1 · debris, 9 Aug →
344msFastest reaction time · 13–0 · dust2, 25 Jul →
13–0Biggest win · dust2, 25 Jul →

Across the last 100 tracked matches.

Highlights

13Longest win streak
L2Current streak
4–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 79% over 28mirageWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoS2822–679%0.07
nukeS2013–765%0.02
mirageC135–838%0.01
ancientC104–640%-0.03
dust2A85–363%0.05
overpassB63–350%0.07
vertigoS64–267%0.02
cacheA53–260%0.00
anubis—21–150%0.02
debris—11–0100%0.12
poseidon—10–10%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,282Matches
49%Win rate
1.05Avg K/D
74.2ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage42852%1.1715.3
Dust221046%1.0514.3
Ancient17449%0.9914.0
Anubis17147%0.9915.1
Inferno12553%0.9913.9
Nuke6844%0.9213.3
Vertigo6045%0.9715.2
Train3751%0.9815.1

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.

21.2%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.4%Spray accuracy
83.1%Counter-strafing
8.9°Preaim
610msReaction time
33.9%T opening success
49.0%CT opening success
0.57Enemies flashed / flash
6.6%Flash assists
6.67HE damage / grenade
6.92Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.8792% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–130.0927%14 Oct →
ancient2–13-0.0333%14 Oct →
ancient12–12-0.0814%10 Oct →
ancient13–7-0.070%3 Oct →
ancient13–5-0.110%3 Oct →
inferno9–60.0227%1 Oct →
inferno9–20.1624%1 Oct →
nuke9–50.0313%1 Oct →
nuke5–1-0.0117%1 Oct →
nuke9–10.1523%1 Oct →
nuke9–50.0632%1 Oct →
inferno9–5-0.0613%1 Oct →
inferno9–10.0114%1 Oct →
inferno9–10.1924%1 Oct →
inferno9–6-0.0322%1 Oct →
inferno9–60.1235%28 Sept →
inferno1–9-0.0933%27 Sept →
inferno8–80.0232%27 Sept →
nuke9–30.1128%27 Sept →
overpass9–30.1028%27 Sept →
inferno7–9-0.0344%27 Sept →
vertigo9–00.2316%25 Sept →
inferno9–10.0556%25 Sept →
inferno9–20.1029%25 Sept →
inferno9–00.2324%25 Sept →
overpass7–9-0.0218%24 Sept →
vertigo8–00.208%24 Sept →
nuke3–9-0.1117%24 Sept →
nuke9–20.1215%24 Sept →
nuke9–00.2021%24 Sept →
nuke9–20.2437%24 Sept →
inferno9–00.2639%24 Sept →
inferno9–00.1314%24 Sept →
inferno9–30.0323%24 Sept →
inferno9–30.0533%24 Sept →
mirage11–130.0522%19 Sept →
ancient2–80.0318%19 Sept →
cache10–130.0128%23 Aug →
debris9–10.12100%9 Aug →
ancient1–13-0.0423%9 Aug →
dust29–130.0435%29 Jul →
mirage0–13-0.060%25 Jul →
dust213–0-0.000%25 Jul →
ancient13–5-0.0318%23 Jul →
mirage13–50.0217%20 Jul →
nuke2–13-0.047%18 Jul →
mirage13–16-0.0017%17 Jul →
ancient9–13-0.0222%17 Jul →
cache6–13-0.0222%17 Jul →
nuke0–13-0.110%17 Jul →
cache13–00.0029%17 Jul →
mirage15–150.0228%16 Jul →
nuke13–100.0116%16 Jul →
cache16–140.0634%16 Jul →
nuke3–13-0.120%5 Jul →
nuke13–60.0627%5 Jul →
dust213–70.0729%5 Jul →
cache13–3-0.050%1 Jul →
dust24–13-0.0429%8 Jun →
nuke9–20.2016%5 Jun →
poseidon6–90.0534%30 May →
inferno9–70.0732%30 May →
inferno7–90.0522%30 May →
inferno9–50.0224%30 May →
mirage5–13-0.0420%29 May →
nuke13–30.0225%12 Apr →
ancient13–10-0.0522%9 Apr →
inferno13–110.0915%9 Apr →
mirage10–13-0.0220%8 Apr →
nuke13–6-0.0028%8 Apr →
dust213–30.1030%8 Apr →
inferno9–20.0821%8 Apr →
vertigo9–30.0821%8 Apr →
anubis13–160.0428%8 Apr →
mirage13–30.0012%8 Apr →
dust213–90.0330%7 Apr →
mirage13–70.0629%4 Apr →
overpass13–110.0114%4 Apr →
vertigo9–6-0.170%3 Apr →
overpass9–00.260%3 Apr →
anubis13–70.0141%29 Mar →
dust213–100.2030%29 Mar →
dust215–15-0.0314%11 Mar →
overpass2–130.0533%11 Mar →
mirage11–13-0.0115%11 Mar →
mirage13–80.0743%11 Mar →
nuke6–130.0117%11 Mar →
inferno8–8-0.0125%9 Mar →
inferno9–30.1417%9 Mar →
vertigo0–6-0.200%17 Feb →
nuke5–9-0.198%17 Feb →
mirage13–50.1033%5 Feb →
overpass7–90.0334%4 Feb →
vertigo8–8-0.0114%4 Feb →
inferno7–9-0.0326%4 Feb →
inferno9–20.2020%4 Feb →
mirage2–7-0.0550%4 Feb →
inferno9–50.0230%30 Jan →
nuke7–9-0.139%29 Jan →
inferno9–20.1736%29 Jan →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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