Joe Cool

Joe Cool — CS2 Stats

76561197979044992[U:1:18779264]Steam profile ↗VAC banned

1,687Tracked matches57%Win rate2023Tracked since
CSDB Rating7.0 StrongPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

+12Tracked matches · now 1,687
+16.4ppWin rate · 40.7% → 57.1%

Rating over time

37Days played since 2025-12-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim88
Positioning71
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLWWLLWLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.8pp headshot accuracy · −58ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 18%
  • Avg reaction 481ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 485ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 18%
  • Avg reaction 515ms

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 (+1.7 against its own average).

Aim8.8
Utility3.2
Positioning7.1
Opening Duels6.0

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 82% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution.

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 88 — 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

Aim8.8
Positioning7.1
Utility3.2
Mechanics7.3
Opening Duels6.1
Win Impact7.4

Composite 7.0/10 (Strong), 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 rating0.06−0.04
first ⅓ avg 0.10 → last ⅓ avg 0.06
Reaction time510ms−32ms
first ⅓ avg 542ms → last ⅓ avg 510ms
Headshot accuracy18.4%−1.0%
first ⅓ avg 19.4% → last ⅓ avg 18.4%

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

0.23Best match rating · 13–5 · mirage, 21 Jan →
35%Best headshot accuracy · 4–13 · anubis, 18 Sept →
398msFastest reaction time · 13–3 · office, 26 Jan →
13–0Biggest win · nuke, 24 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–4In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 80% over 5vertigoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA1610–663%0.08
dust2D164–1225%0.06
ancientC146–843%0.08
nukeA95–456%0.12
vertigoD92–722%0.08
trainD82–625%0.04
officeD72–529%0.04
anubisD62–433%0.07
mirageS54–180%0.15
cache—31–233%0.06
overpass—33–0100%0.11
alpine—21–150%0.07
italy—10–10%0.14
warden—11–0100%0.15

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Vertigo 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.

19.1%Headshot accuracy
39.5%Accuracy (enemy spotted)
44.7%Spray accuracy
82.9%Counter-strafing
9.0°Preaim
523msReaction time
50.7%T opening success
58.2%CT opening success
0.55Enemies flashed / flash
10.1%Flash assists
5.24HE damage / grenade
2.42Flashes / 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

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

    Flashes per match 2.4168 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–130.0522%1 Oct →
inferno13–90.0720%1 Oct →
inferno13–110.0214%1 Oct →
vertigo10–130.0719%1 Oct →
ancient10–130.0814%1 Oct →
cache13–110.0418%18 Sept →
anubis4–130.1335%18 Sept →
inferno13–10.0113%13 Sept →
mirage13–90.0821%13 Sept →
nuke13–90.1015%8 Sept →
inferno13–80.0613%8 Sept →
ancient13–40.0713%8 Sept →
nuke7–130.1124%28 Jul →
inferno7–13-0.0115%28 Jul →
vertigo12–120.0914%28 Jul →
overpass9–10.057%28 Jul →
train7–130.0414%28 Jul →
ancient13–110.1019%18 Jul →
dust213–100.0223%18 Jul →
office11–13-0.0020%18 Jul →
dust29–130.0225%18 Jul →
ancient13–40.0520%6 Jul →
dust22–130.0721%6 Jul →
italy12–120.1415%26 Jun →
ancient13–100.1016%26 Jun →
dust213–90.0620%22 Jun →
train13–110.0824%22 Jun →
office10–130.0929%10 Jun →
overpass13–90.1526%10 Jun →
train1–13-0.0121%10 Jun →
vertigo0–13-0.030%10 Jun →
cache9–130.1018%10 Jun →
anubis8–13-0.0117%10 Jun →
inferno7–130.0916%7 Jun →
ancient2–130.0820%7 Jun →
inferno6–130.1916%7 Jun →
cache2–130.0510%29 Apr →
dust211–60.0917%29 Apr →
office3–13-0.029%29 Apr →
dust212–120.0618%20 Apr →
train13–40.0622%18 Mar →
vertigo13–40.2017%5 Mar →
train6–130.0420%5 Mar →
dust27–130.0419%5 Mar →
train0–130.0616%25 Feb →
anubis13–90.1420%22 Feb →
dust25–130.0415%22 Feb →
anubis7–130.0023%22 Feb →
warden13–80.1517%21 Feb →
ancient13–110.0919%21 Feb →
vertigo3–130.0311%21 Feb →
inferno13–20.1616%21 Feb →
ancient2–130.0621%18 Feb →
ancient4–130.0122%13 Feb →
dust25–130.0718%13 Feb →
vertigo13–110.1119%12 Feb →
inferno9–130.0511%12 Feb →
nuke13–70.1714%12 Feb →
nuke8–130.1119%6 Feb →
ancient6–130.1114%6 Feb →
mirage3–130.1012%6 Feb →
dust26–130.0510%6 Feb →
vertigo6–130.0118%30 Jan →
inferno6–130.0220%30 Jan →
office11–130.0817%27 Jan →
office9–130.0418%27 Jan →
dust210–130.0226%27 Jan →
inferno13–20.0617%26 Jan →
alpine8–130.0816%26 Jan →
office13–30.0410%26 Jan →
alpine13–70.0631%24 Jan →
inferno13–30.1820%24 Jan →
nuke13–00.2028%24 Jan →
ancient11–130.0718%23 Jan →
dust28–130.1219%23 Jan →
dust213–40.1017%21 Jan →
mirage13–50.2323%21 Jan →
ancient7–130.0721%15 Jan →
nuke13–110.1517%15 Jan →
dust24–130.1424%15 Jan →
anubis3–130.0418%14 Jan →
vertigo6–130.0721%14 Jan →
inferno13–60.1318%14 Jan →
inferno13–50.0916%14 Jan →
train6–130.0024%14 Jan →
nuke11–130.059%12 Jan →
overpass13–90.1320%30 Dec →
ancient13–00.0919%30 Dec →
dust27–13-0.0621%30 Dec →
train6–130.0316%27 Dec →
nuke13–30.1629%27 Dec →
dust210–130.1119%27 Dec →
anubis13–110.1222%27 Dec →
mirage13–30.1223%27 Dec →
vertigo9–130.1312%27 Dec →
inferno13–110.1113%26 Dec →
ancient8–130.1222%22 Dec →
inferno7–13-0.0117%20 Dec →
office13–40.0416%20 Dec →
mirage13–40.2325%12 Dec →

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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