Chicken Joe

Chicken Joe — CS2 Stats

76561199475773954[U:1:1515508226]Steam profile ↗✓ No bans

489Tracked matches70%Win rate2023Tracked since
471Hours in CS
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating8,651Light Blue band · top ~61.3% of ranked players (population est.)
FaceitLevel 3 · 799 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (18 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: 8,651 +6,336 27 Feb – 24 Sept · 14 days played
2,2028,651peak 8,65127 Feb24 Sept
8,651Peak Premier in tracked matches
799Highest Faceit ELO seen on CSDB
32Days played since 2026-02-08

Faceit ELO

  • At peak — 799
  • Next: Level 4 at 901 — 102 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • At peak — 8,651
  • Next: Blue band at 10,000 — 1,349 to go
  • Reached: 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 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate62.3%41.8%42.7%above
Shot accuracy2.4%12.2%11.3%8.9% short
Kill/death ratio1.280.980.99above
Match win rate41.8%43.3%43.9%2.1% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGChicken JoeFACEITLevel 3 · 799 ELOSTANDINGTop 90.6% of rankedPREMIER8,651 · Light Blue bandPEAK ELO799csdb.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

Aim44
Positioning49
Utility32

0–100 skill scores via Leetify.

Recent form

HOT44–53–3Last 10044%Win rateWLLLWWWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · −44ms 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 -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 611ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 606ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 629ms

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).

Aim4.4
Utility3.2
Positioning4.9
Opening Duels2.2
Clutch2.6

Strong CT-side opener

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: utility contribution, positioning profile.

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

Reaction time. 654ms 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

Aim4.4
Positioning4.9
Utility3.2
Mechanics5.1
Opening Duels3.2
Win Impact10.0

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time659ms−44ms
first ⅓ avg 703ms → last ⅓ avg 659ms
Headshot accuracy12.0%+0.4%
first ⅓ avg 11.5% → last ⅓ avg 12.0%

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

0.14Best match rating · 13–9 · ancient, 27 Feb →
100%Best headshot accuracy · 3–6 · mirage, 6 Mar →
445msFastest reaction time · 7–13 · anubis, 18 Sept →
13–0Biggest win · cache, 19 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
2–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 67% over 6nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC4720–2743%-0.01
ancientC177–1041%-0.01
dust2C156–940%0.01
nukeD93–633%-0.02
infernoS64–267%-0.02
anubis—31–233%-0.04
cache—33–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,212Lifetime kills
1.28K/D · Top 10% of Level 3 players
1,204Matches
41.8%Match win rate
62.3%Headshot % · Top 5% of Level 3 players
2.4%Shot accuracy
2,046MVPs
471Hours (in match)
512Bombs planted
155Bombs defused

Most-used weapons

Lifetime map wins

1,386nuke
1,195inferno
1,194dust2
198vertigo
19cbble
18train

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

Faceit stats

Combat

176Matches
45%Win rate
0.95Avg K/D
79.8ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage6340%0.8413.8
Anubis2752%0.9415.8
Ancient2654%1.0615.7
Nuke2250%1.0915.5
Dust21942%1.0015.2
Inferno1450%1.0717.1
Vertigo425%0.6610.3
Overpass10%1.2719.0

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.

12.3%Headshot accuracy
34.7%Accuracy (enemy spotted)
39.1%Spray accuracy
73.0%Counter-strafing
12.4°Preaim
654msReaction time
37.5%T opening success
47.8%CT opening success
0.53Enemies flashed / flash
4.9%Flash assists
6.19HE damage / grenade
8.54Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4259° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.2554% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.071%24 Sept →
ancient12–16-0.0411%24 Sept →
anubis7–13-0.067%18 Sept →
ancient9–130.0511%11 Sept →
mirage13–11-0.0513%10 Sept →
mirage13–10-0.0411%10 Sept →
mirage13–5-0.0321%10 Sept →
ancient13–1-0.020%10 Sept →
ancient13–10-0.1219%10 Sept →
mirage13–3-0.027%10 Sept →
cache13–6-0.028%10 Sept →
ancient13–5-0.0913%10 Sept →
anubis2–13-0.084%9 Sept →
mirage9–13-0.0215%9 Sept →
cache13–50.017%9 Sept →
mirage8–13-0.0612%11 Jun →
cache13–0-0.048%19 May →
mirage13–90.0118%5 Apr →
inferno11–13-0.0615%5 Apr →
anubis13–20.034%5 Apr →
mirage13–7-0.0312%26 Mar →
mirage6–13-0.029%26 Mar →
inferno13–100.0813%25 Mar →
ancient13–9-0.0015%25 Mar →
dust27–130.0123%25 Mar →
dust213–70.0216%22 Mar →
nuke13–90.0516%22 Mar →
mirage13–4-0.0613%18 Mar →
ancient13–4-0.0513%18 Mar →
dust213–90.0120%18 Mar →
mirage12–12-0.009%16 Mar →
mirage11–13-0.0211%13 Mar →
nuke5–13-0.0520%11 Mar →
mirage10–13-0.0018%11 Mar →
ancient6–13-0.1016%11 Mar →
mirage10–13-0.0311%9 Mar →
mirage13–9-0.0214%9 Mar →
inferno2–13-0.0412%9 Mar →
mirage13–10-0.0117%8 Mar →
inferno13–90.030%8 Mar →
nuke13–7-0.0220%8 Mar →
mirage13–50.0116%8 Mar →
mirage3–6-0.06100%6 Mar →
mirage13–20.039%6 Mar →
nuke8–130.0220%6 Mar →
dust29–13-0.0015%6 Mar →
dust213–10.0813%6 Mar →
nuke16–120.0116%5 Mar →
mirage13–40.0212%5 Mar →
mirage9–130.0212%5 Mar →
mirage16–120.0715%5 Mar →
ancient8–13-0.027%5 Mar →
mirage16–14-0.018%5 Mar →
nuke7–13-0.066%4 Mar →
mirage13–20.0226%4 Mar →
ancient4–13-0.0514%4 Mar →
nuke4–13-0.0129%4 Mar →
mirage6–130.0631%4 Mar →
mirage11–13-0.0416%1 Mar →
dust213–100.0616%1 Mar →
dust210–130.0316%1 Mar →
dust23–130.0113%27 Feb →
mirage13–80.0312%27 Feb →
mirage5–13-0.0415%27 Feb →
ancient9–130.0415%27 Feb →
ancient13–90.1411%27 Feb →
mirage7–130.0112%27 Feb →
mirage6–130.0110%26 Feb →
mirage11–13-0.024%26 Feb →
mirage8–13-0.016%26 Feb →
ancient15–15-0.0112%25 Feb →
mirage13–5-0.0615%23 Feb →
mirage11–13-0.0117%23 Feb →
dust216–13-0.0312%17 Feb →
ancient4–13-0.0212%17 Feb →
ancient13–90.049%17 Feb →
mirage13–40.025%17 Feb →
mirage4–13-0.0317%13 Feb →
mirage10–13-0.0114%12 Feb →
ancient9–130.0611%12 Feb →
dust26–13-0.035%12 Feb →
dust27–13-0.019%12 Feb →
nuke1–13-0.0610%12 Feb →
dust213–10-0.0024%12 Feb →
dust29–13-0.0413%12 Feb →
mirage2–13-0.077%11 Feb →
mirage3–13-0.0210%11 Feb →
mirage10–13-0.016%11 Feb →
mirage9–13-0.0116%11 Feb →
dust212–120.0412%11 Feb →
mirage7–130.0715%11 Feb →
mirage10–13-0.017%11 Feb →
mirage13–30.0318%11 Feb →
inferno16–13-0.0411%10 Feb →
mirage7–13-0.0111%10 Feb →
dust20–13-0.0217%10 Feb →
mirage13–9-0.0118%9 Feb →
nuke8–13-0.037%8 Feb →
ancient9–13-0.0113%8 Feb →
mirage8–130.019%8 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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