Goatford

Goatford — CS2 Stats

76561198002709839[U:1:42444111]Steam profile ↗✓ No bans

648Tracked matches46%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,529 -66 6 Aug – 26 May · 35 days played
9,87915,114peak 15,1146 Aug26 May
15,114Peak Premier in tracked matches
61Days played since 2024-08-05

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

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CSDB.GGGoatfordFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning54
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateWLLLWWTLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +6.0pp headshot accuracy · +49ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 716ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 679ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 654ms

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 (+1.6 against its own average).

Aim6.5
Utility3.0
Positioning5.4
Opening Duels3.0
Clutch4.0

Excellent counter-strafing

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

donk

Plays most like donk 97% 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms 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

Aim6.5
Positioning5.4
Utility3.0
Mechanics8.5
Opening Duels2.3
Win Impact3.8

Composite 5.4/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time644ms−63ms
first ⅓ avg 707ms → last ⅓ avg 644ms
Headshot accuracy21.0%−2.4%
first ⅓ avg 23.3% → last ⅓ avg 21.0%

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

0.16Best match rating · 13–8 · mills, 12 Sept →
50%Best headshot accuracy · 4–1 · mirage, 2 Sept →
367msFastest reaction time · 2–9 · anubis, 19 Feb →
13–1Biggest win · mirage, 6 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 50% over 40dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB4020–2050%-0.00
infernoB2211–1150%-0.01
anubisB115–645%-0.01
dust2D91–811%-0.01
vertigoC52–340%-0.02
nuke—42–250%-0.03
overpass—32–167%0.03
train—31–233%-0.01
ancient—11–0100%0.04
mills—11–0100%0.16
thera—10–10%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

84Matches
54%Win rate
1.12Avg K/D
78.5ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2273%1.2117.3
Dust21953%1.1117.1
Inferno1040%1.0214.4
Anubis1070%1.2516.2
Ancient838%0.9713.8
Train367%1.4920.0
Nuke367%1.0613.3
Vertigo20%1.2820.0

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.

20.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
31.5%Spray accuracy
88.1%Counter-strafing
9.7°Preaim
664msReaction time
27.0%T opening success
48.4%CT opening success
0.49Enemies flashed / flash
3.9%Flash assists
10.90HE damage / grenade
11.47Flashes / 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 0.4911 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 26.9822% — below the 40% mark we flag

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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–50.0020%3 Jan →
overpass14–160.0117%12 Dec →
inferno9–13-0.0326%12 Dec →
mirage7–13-0.0218%12 Dec →
mirage16–13-0.0128%27 May →
inferno13–100.0030%26 May →
dust212–120.0540%2 May →
dust211–130.0414%27 Apr →
mirage10–13-0.0617%27 Apr →
anubis13–40.0625%12 Apr →
inferno9–40.0719%8 Apr →
dust25–13-0.1532%24 Feb →
inferno10–130.0117%23 Feb →
mirage13–70.0218%23 Feb →
train13–100.0015%22 Feb →
mirage10–13-0.0316%21 Feb →
ancient13–80.0420%20 Feb →
anubis2–90.0117%19 Feb →
inferno3–130.0411%14 Feb →
mirage15–150.109%14 Feb →
anubis5–13-0.0815%12 Feb →
inferno7–13-0.0218%11 Feb →
mirage7–13-0.0721%10 Feb →
mirage16–130.0325%10 Feb →
mirage10–130.0027%9 Feb →
inferno13–10-0.0224%9 Feb →
mirage13–10.0623%6 Feb →
inferno11–3-0.0319%4 Feb →
inferno6–9-0.0435%4 Feb →
inferno13–70.1019%2 Feb →
inferno13–11-0.0212%1 Feb →
mirage11–130.0425%1 Feb →
dust215–150.0520%1 Feb →
mirage7–13-0.0118%1 Feb →
mirage9–13-0.0126%31 Jan →
nuke13–110.067%31 Jan →
mirage13–7-0.0021%30 Jan →
mirage13–7-0.0127%30 Jan →
train9–13-0.0333%29 Jan →
inferno13–10-0.0315%17 Jan →
inferno13–5-0.0633%16 Jan →
overpass13–110.0216%10 Jan →
anubis4–13-0.0632%10 Jan →
mirage16–12-0.0413%9 Jan →
mirage4–130.0317%9 Jan →
mirage13–11-0.0022%5 Jan →
nuke0–6-0.0814%5 Jan →
mirage13–50.1215%27 Dec →
train4–130.0016%14 Dec →
mirage13–20.0315%11 Dec →
mirage11–13-0.0140%3 Dec →
mirage13–100.0231%1 Dec →
anubis13–100.0132%30 Nov →
mirage13–20.0410%30 Nov →
inferno16–13-0.0116%29 Nov →
anubis13–60.0126%28 Nov →
mirage5–13-0.0818%28 Nov →
mirage1–4-0.080%24 Nov →
inferno8–13-0.0231%24 Nov →
anubis14–16-0.0618%23 Nov →
inferno13–8-0.0124%23 Nov →
mirage13–9-0.0215%23 Nov →
inferno10–13-0.0815%23 Nov →
mirage13–90.0715%23 Nov →
inferno8–13-0.0219%20 Nov →
mirage6–130.0524%20 Nov →
mirage13–6-0.0612%18 Nov →
inferno10–130.0133%13 Nov →
mirage2–4-0.0622%12 Nov →
mills13–80.1616%12 Sept →
dust210–130.1420%12 Sept →
nuke5–13-0.0220%8 Sept →
mirage6–130.0534%8 Sept →
mirage4–1-0.0150%2 Sept →
anubis5–130.0120%1 Sept →
dust211–13-0.0517%30 Aug →
vertigo12–12-0.0024%29 Aug →
thera5–130.0531%29 Aug →
vertigo12–12-0.0323%28 Aug →
mirage7–13-0.0527%28 Aug →
inferno14–16-0.0130%26 Aug →
dust25–13-0.1317%26 Aug →
inferno13–100.0818%25 Aug →
inferno9–13-0.0315%25 Aug →
mirage11–13-0.0529%25 Aug →
overpass13–90.0529%23 Aug →
vertigo13–70.0212%19 Aug →
anubis0–13-0.0620%19 Aug →
mirage2–8-0.0519%19 Aug →
mirage13–50.0219%12 Aug →
mirage13–110.0323%9 Aug →
anubis13–4-0.0225%7 Aug →
vertigo2–13-0.1032%7 Aug →
mirage13–40.0517%6 Aug →
dust213–100.0422%5 Aug →
mirage13–8-0.0628%5 Aug →
vertigo13–8-0.0126%5 Aug →
dust27–13-0.0821%5 Aug →
anubis13–70.0424%5 Aug →
nuke13–6-0.089%5 Aug →

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 →

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