Goat Joni

Goat Joni — CS2 Stats

76561198369846206[U:1:409580478]Steam profile ↗✓ No bans

2,696Tracked matches43%Win rate2020Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating27,595Top 5% of 212,133 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#3934 of 259041 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 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: 27,595 +959 26 Aug – 28 Oct · 33 days played
25,34228,437peak 28,43726 Aug28 Oct
28,437Peak Premier in tracked matches
32Days played since 2026-08-26

Premier CS Rating

  • 842 below peak (28,437)
  • +1,311 over 30 days · improving
  • Next: Gold band at 30,000 — 2,405 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-29
  • Pink band first seen 2026-08-29

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

Share this profile

CSDB.GGGoat JoniFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER27,595 · Red bandcsdb.gg/stats

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Performance scores

Aim86
Positioning74
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY42–51–7Last 10042%Win rateWTLLLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −1.9pp headshot accuracy · +48ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 29%
  • Avg reaction 544ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 559ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 535ms

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 (+1.4 against its own average).

Aim8.6
Utility4.2
Positioning7.4
Opening Duels6.5

Sharp aimerLimited 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

donk

Plays most like donk 92% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.6
Positioning7.4
Utility4.2
Mechanics4.6
Opening Duels7.2
Win Impact2.6

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time527ms−12ms
first ⅓ avg 539ms → last ⅓ avg 527ms
Headshot accuracy25.7%+1.8%
first ⅓ avg 24.0% → last ⅓ avg 25.7%

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

0.32Best match rating · 5–1 · overpass, 4 Oct →
56%Best headshot accuracy · 1–13 · vertigo, 3 Oct →
406msFastest reaction time · 8–13 · ancient, 11 Oct →
13–0Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 56% over 9anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%0.00
ancientA2011–955%0.02
infernoC187–1139%0.04
mirageC176–1135%0.03
cacheA95–456%0.01
anubisD71–614%0.02
nukeD51–420%-0.01
vertigo—32–167%0.01
overpass—11–0100%0.32

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.3%Spray accuracy
70.5%Counter-strafing
7.2°Preaim
528msReaction time
58.0%T opening success
59.7%CT opening success
0.54Enemies flashed / flash
6.0%Flash assists
9.66HE damage / grenade
4.79Flashes / match

Recommended for you

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–50.1824%29 Oct →
dust212–120.0133%29 Oct →
ancient10–130.0425%28 Oct →
inferno4–13-0.0041%28 Oct →
dust25–130.0322%28 Oct →
ancient13–90.1225%28 Oct →
cache13–60.0532%25 Oct →
anubis10–130.0422%23 Oct →
dust26–13-0.0010%23 Oct →
mirage13–110.0527%23 Oct →
ancient13–8-0.0324%23 Oct →
dust213–7-0.0124%19 Oct →
ancient5–130.0428%16 Oct →
mirage5–130.0336%16 Oct →
dust24–13-0.0520%16 Oct →
anubis10–130.0122%15 Oct →
mirage5–130.0325%15 Oct →
inferno14–160.0628%15 Oct →
nuke9–130.0141%15 Oct →
cache13–110.0132%15 Oct →
dust210–13-0.0133%15 Oct →
mirage12–16-0.0018%14 Oct →
nuke15–15-0.0323%14 Oct →
cache6–130.0419%14 Oct →
inferno13–110.0430%13 Oct →
dust213–60.0234%13 Oct →
ancient4–130.0034%13 Oct →
cache13–11-0.0223%13 Oct →
mirage13–50.0925%12 Oct →
cache13–80.0717%12 Oct →
anubis13–100.0624%12 Oct →
dust213–100.0217%12 Oct →
anubis10–130.0110%12 Oct →
cache11–130.0621%12 Oct →
dust212–120.0326%12 Oct →
ancient13–9-0.0217%11 Oct →
ancient13–10-0.0221%11 Oct →
ancient8–13-0.0118%11 Oct →
inferno13–80.0717%9 Oct →
ancient13–60.0429%9 Oct →
inferno13–90.0234%9 Oct →
inferno13–80.1236%9 Oct →
mirage13–30.0926%9 Oct →
inferno7–130.0341%9 Oct →
nuke8–13-0.0528%8 Oct →
ancient0–3-0.000%8 Oct →
dust213–70.0220%8 Oct →
inferno5–130.1042%8 Oct →
vertigo13–90.0123%8 Oct →
cache2–9-0.1150%7 Oct →
vertigo13–100.0622%4 Oct →
overpass5–10.3217%4 Oct →
ancient13–90.0829%4 Oct →
dust27–130.0319%4 Oct →
nuke13–11-0.0015%4 Oct →
mirage1–3-0.160%3 Oct →
cache16–140.0129%3 Oct →
inferno13–60.0636%3 Oct →
vertigo1–13-0.0556%3 Oct →
dust27–130.0532%3 Oct →
dust25–130.0440%3 Oct →
mirage12–120.0718%3 Oct →
ancient13–90.0918%1 Oct →
mirage9–130.0421%1 Oct →
mirage10–130.0624%1 Oct →
inferno13–0-0.0215%30 Sept →
inferno13–110.0526%30 Sept →
mirage13–80.0831%29 Sept →
inferno11–130.0823%29 Sept →
dust24–13-0.0442%29 Sept →
inferno1–13-0.0126%28 Sept →
mirage1–50.0129%26 Sept →
anubis15–150.0112%26 Sept →
ancient11–13-0.0222%18 Sept →
cache5–13-0.0122%17 Sept →
ancient13–70.1025%17 Sept →
dust213–100.0423%17 Sept →
inferno5–13-0.0329%16 Sept →
anubis15–150.1222%16 Sept →
dust25–13-0.0515%16 Sept →
dust213–110.0422%15 Sept →
ancient6–13-0.0128%15 Sept →
ancient13–00.0619%15 Sept →
dust213–3-0.0628%15 Sept →
ancient4–13-0.0610%15 Sept →
nuke13–160.0021%13 Sept →
ancient3–13-0.0627%11 Sept →
ancient16–140.0129%6 Sept →
inferno11–130.0717%6 Sept →
mirage9–13-0.0417%29 Aug →
inferno6–130.0216%29 Aug →
mirage6–130.0110%28 Aug →
dust213–7-0.0718%27 Aug →
ancient13–11-0.0226%27 Aug →
mirage13–10-0.0332%27 Aug →
inferno4–130.0438%26 Aug →
dust211–130.0137%26 Aug →
mirage6–13-0.0233%26 Aug →
inferno15–150.0724%26 Aug →
anubis2–13-0.0718%26 Aug →

Match data via Leetify.

Recent teammates

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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