JohnnieCokein™

JohnnieCokein™ — CS2 Stats

ES76561199511927746[U:1:1551662018]Steam profile ↗✓ No bans

2,605Tracked matches60%Win rate2023Tracked since
2,912Hours in CS21Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating23,042Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#43199 of 260034 tracked
FaceitLevel 9 · 2,000 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 23,042 +2,136 4 Jun – 3 Nov · 30 days played
19,99923,315peak 23,3154 Jun3 Nov
23,413Peak Premier in tracked matches
2,000Highest Faceit ELO seen on CSDB
46Days played since 2026-06-04

Faceit ELO

  • At peak — 2,000
  • Next: Level 10 at 2,001 — 1 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 273 below peak (23,315)
  • +2,194 over 30 days · improving
  • Next: Red band at 25,000 — 1,958 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate42.8%48.2%50.9%8.1% short
Shot accuracy0.0%13.2%13.7%13.7% short
Kill/death ratio0.901.071.090.18 short
Match win rate38.6%46.9%48.4%9.7% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJohnnieCokein™FACEITLevel 9 · 2,000 ELOSTANDINGTop 20.7% of rankedPREMIER23,042 · Pink bandPEAK ELO2,000csdb.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

Aim85
Positioning71
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWLWLWWWLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.9pp headshot accuracy · +80ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 567ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 540ms

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 (+2 against its own average).

Aim8.5
Utility5.6
Positioning7.1
Opening Duels4.5
Clutch3.4

Sharp aimer

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

jL

Plays most like jL 94% playstyle similarity

Most alike: positioning profile, 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

Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.5
Positioning7.1
Utility5.6
Mechanics7.3
Opening Duels5.2
Win Impact8.3

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time541ms−11ms
first ⅓ avg 552ms → last ⅓ avg 541ms
Headshot accuracy18.3%−2.3%
first ⅓ avg 20.5% → last ⅓ avg 18.3%

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

0.33Best match rating · 9–0 · inferno, 26 Jun →
42%Best headshot accuracy · 13–9 · office, 20 Jun →
352msFastest reaction time · 4–9 · inferno, 7 Jun →
13–0Biggest win · dust2, 15 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 71% over 14ancientWeakest map · 50% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB1910–953%0.03
mirageB179–853%0.02
ancientB168–850%0.03
dust2S1410–471%0.03
cacheS128–467%0.04
anubisA117–464%0.04
nukeB84–450%0.04
office—11–0100%0.03
train—11–0100%0.03
vertigo—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,048Lifetime kills
0.90K/D
4,458Matches
38.6%Match win rate
42.8%Headshot %
0.0%Shot accuracy
10,152MVPs
6,565Hours (in match)
4,265Bombs planted
1,281Bombs defused

Most-used weapons

AK-4738,534
AWP24,933
XM10142,576
MP92,477
SSG 082,109

Lifetime map wins

8,050dust2
6,553inferno
2,059vertigo
1,765train
1,550nuke
238office
53ar_baggage
50ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

598Matches
52%Win rate
1.15Avg K/D
85.2ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient11152%1.1316.6
Dust210648%1.1017.3
Anubis10450%1.2017.8
Inferno9855%1.1417.1
Mirage7949%1.0617.0
Nuke4154%1.1817.1
Overpass2654%1.2419.0
Train2050%1.2620.4

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.

19.0%Headshot accuracy
41.3%Accuracy (enemy spotted)
42.8%Spray accuracy
82.8%Counter-strafing
10.8°Preaim
540msReaction time
49.9%T opening success
51.9%CT opening success
0.45Enemies flashed / flash
6.0%Flash assists
5.64HE damage / grenade
14.58Flashes / 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 0.4495 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–80.0317%3 Nov →
mirage8–13-0.0113%3 Nov →
dust213–90.1026%3 Nov →
nuke5–130.0619%3 Nov →
dust213–9-0.0015%2 Nov →
anubis13–90.0319%2 Nov →
mirage13–100.0518%1 Nov →
nuke11–13-0.0221%28 Oct →
mirage6–13-0.0013%28 Oct →
inferno16–14-0.0220%26 Oct →
ancient11–13-0.0212%25 Oct →
ancient16–120.0720%24 Oct →
nuke13–100.0629%23 Oct →
mirage9–130.0718%22 Oct →
cache11–130.0028%20 Oct →
mirage5–13-0.038%20 Oct →
cache16–130.0519%20 Oct →
mirage11–130.0630%18 Oct →
ancient13–5-0.0513%18 Oct →
anubis13–70.0616%18 Oct →
ancient7–130.0726%14 Oct →
dust213–100.0222%14 Oct →
nuke13–30.047%14 Oct →
cache13–11-0.0425%12 Oct →
mirage13–40.0719%12 Oct →
mirage13–90.0537%12 Oct →
cache13–50.1015%6 Oct →
dust211–130.109%5 Oct →
mirage25–21-0.0315%29 Sept →
nuke10–130.0117%28 Sept →
dust213–2-0.0112%24 Sept →
inferno5–13-0.0311%18 Sept →
ancient13–40.0717%18 Sept →
ancient13–20.1620%18 Sept →
mirage13–30.1221%18 Sept →
anubis13–10.1012%18 Sept →
dust211–130.0223%18 Sept →
ancient13–40.0718%17 Sept →
mirage10–13-0.0030%16 Sept →
ancient11–13-0.0216%15 Sept →
anubis16–130.1316%15 Sept →
ancient9–13-0.0215%15 Sept →
anubis10–13-0.0115%15 Sept →
inferno4–130.0715%14 Sept →
ancient13–80.0328%14 Sept →
inferno13–70.0114%14 Sept →
mirage13–110.0317%3 Sept →
mirage16–13-0.0213%2 Sept →
dust213–80.0417%2 Sept →
ancient16–120.0114%1 Sept →
dust213–90.0012%31 Aug →
ancient16–130.0527%31 Aug →
ancient1–130.029%28 Aug →
inferno15–150.0829%27 Aug →
mirage13–40.0430%26 Aug →
cache14–160.0514%16 Aug →
anubis6–130.0317%16 Aug →
ancient0–13-0.0515%16 Aug →
mirage9–13-0.1027%16 Aug →
mirage13–40.069%16 Aug →
anubis10–13-0.0516%15 Aug →
dust213–11-0.0129%15 Aug →
anubis13–40.0422%15 Aug →
dust213–00.1112%15 Aug →
dust211–13-0.0436%15 Aug →
cache8–13-0.0618%15 Aug →
nuke13–90.0612%15 Aug →
inferno13–160.0017%1 Jul →
mirage9–130.0520%29 Jun →
nuke9–130.1210%29 Jun →
nuke13–110.0132%29 Jun →
anubis9–130.0013%28 Jun →
dust213–50.0315%28 Jun →
cache13–4-0.0520%26 Jun →
inferno9–00.3315%26 Jun →
cache13–70.0432%21 Jun →
dust213–100.0618%21 Jun →
office13–90.0342%20 Jun →
inferno7–9-0.0420%20 Jun →
inferno4–9-0.0518%20 Jun →
ancient9–13-0.0116%20 Jun →
inferno13–80.0416%20 Jun →
dust213–16-0.0017%15 Jun →
inferno13–9-0.0121%15 Jun →
cache13–40.0733%15 Jun →
inferno9–70.1823%15 Jun →
train13–40.0328%14 Jun →
vertigo12–120.0310%14 Jun →
cache10–130.0617%13 Jun →
cache13–30.1835%13 Jun →
cache13–100.0716%12 Jun →
inferno1–9-0.1710%12 Jun →
inferno9–20.2328%12 Jun →
anubis13–80.1123%11 Jun →
inferno16–14-0.035%11 Jun →
inferno9–2-0.0717%11 Jun →
inferno9–7-0.0015%11 Jun →
inferno4–90.0022%7 Jun →
inferno8–80.0329%6 Jun →
ancient9–130.0223%4 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.