CS2 Employee

CS2 Employee — CS2 Stats

IR76561199484434734[U:1:1524169006]Steam profile ↗✓ No bans

3,026Tracked matches48%Win rate2023Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating23,393Top 25% of 215,558 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)
CSDB Leaderboard#39987 of 261653 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 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: 23,393 +288 28 Aug – 9 Nov · 18 days played
21,93424,999peak 24,99928 Aug9 Nov
24,999Peak Premier in tracked matches
35Days played since 2026-08-28

Premier CS Rating

  • 1,606 below peak (24,999)
  • -849 over 30 days · declining
  • Next: Red band at 25,000 — 1,607 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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

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CSDB.GGCS2 EmployeePREMIER23,393 · Pink bandcsdb.gg/stats

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Performance scores

Aim65
Positioning54
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY38–50–12Last 10038%Win rateTWLLWWTLTW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +5.4pp headshot accuracy · +17ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 20%
  • Avg reaction 564ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 541ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 532ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim6.5
Utility7.1
Positioning5.4
Opening Duels0.7

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

sh1ro

Plays most like sh1ro 68% 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 →

CSDB Rating breakdown

Aim6.5
Positioning5.4
Utility7.1
Mechanics6.3
Opening Duels2.1
Win Impact4.3

Composite 5.8/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time525ms−1ms
first ⅓ avg 526ms → last ⅓ avg 525ms
Headshot accuracy19.3%−4.9%
first ⅓ avg 24.2% → last ⅓ avg 19.3%

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

0.18Best match rating · 9–5 · debris, 1 Nov →
40%Best headshot accuracy · 10–8 · office, 10 Sept →
344msFastest reaction time · 13–5 · mirage, 3 Sept →
13–2Biggest win · dust2, 11 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 56% over 16infernoWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B179–853%0.02
officeA169–756%0.01
mirageC114–736%-0.00
infernoD111–109%-0.03
nukeD113–827%0.01
anubisD72–529%-0.01
debrisD51–420%-0.01
poseidon—41–325%0.03
cache—41–325%0.02
ancient—42–250%-0.01
vertigo—42–250%0.00
rush_001—20–20%-0.09
italy—11–0100%0.17
eldorado—11–0100%0.13
overpass—10–10%-0.03
train—11–0100%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Inferno 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.

19.4%Headshot accuracy
32.7%Accuracy (enemy spotted)
33.6%Spray accuracy
78.4%Counter-strafing
11.4°Preaim
532msReaction time
43.3%T opening success
33.6%CT opening success
0.63Enemies flashed / flash
8.5%Flash assists
11.99HE damage / grenade
15.35Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.6003% — below the 40% mark we flag

Spend your practice time on Inferno

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

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–120.0223%14 Nov →
mirage13–40.1022%14 Nov →
poseidon5–90.0413%14 Nov →
debris5–9-0.0420%14 Nov →
italy13–60.1721%13 Nov →
office13–100.0017%12 Nov →
inferno12–12-0.0413%11 Nov →
cache7–130.0028%11 Nov →
nuke12–120.0017%11 Nov →
dust213–100.1230%11 Nov →
cache13–100.0021%9 Nov →
dust213–80.0111%9 Nov →
nuke14–16-0.058%9 Nov →
anubis13–5-0.0211%9 Nov →
dust213–40.0420%9 Nov →
mirage9–13-0.0218%8 Nov →
cache14–160.0015%8 Nov →
nuke13–70.1220%8 Nov →
mirage3–13-0.039%8 Nov →
dust22–13-0.0115%8 Nov →
nuke8–130.0129%8 Nov →
office13–4-0.0721%8 Nov →
ancient9–13-0.0321%8 Nov →
office13–8-0.0825%8 Nov →
anubis10–13-0.0330%8 Nov →
inferno5–13-0.0121%8 Nov →
dust25–13-0.0225%8 Nov →
anubis3–130.0416%7 Nov →
dust213–60.1019%7 Nov →
office12–12-0.0612%6 Nov →
dust212–120.0923%6 Nov →
vertigo2–130.0228%3 Nov →
office13–90.0815%3 Nov →
anubis13–10-0.0611%1 Nov →
ancient13–80.0219%1 Nov →
office13–11-0.0230%1 Nov →
inferno4–9-0.0921%1 Nov →
debris9–50.1819%1 Nov →
poseidon7–90.0431%1 Nov →
office7–130.0814%1 Nov →
inferno12–12-0.0624%31 Oct →
nuke6–13-0.0217%31 Oct →
dust28–13-0.0512%31 Oct →
vertigo13–90.0020%29 Oct →
ancient4–130.0210%29 Oct →
office13–30.1116%29 Oct →
office13–90.0520%27 Oct →
mirage13–100.0726%27 Oct →
dust27–130.0319%27 Oct →
mirage2–130.0224%20 Oct →
nuke5–130.0226%16 Oct →
dust213–50.0719%16 Oct →
anubis12–120.0025%10 Oct →
rush_0014–8-0.1120%8 Oct →
anubis11–13-0.1226%3 Oct →
rush_0013–7-0.084%2 Oct →
office7–13-0.0422%30 Sept →
dust24–13-0.1021%30 Sept →
office5–130.0131%30 Sept →
mirage10–13-0.0420%29 Sept →
office12–12-0.0127%26 Sept →
debris8–8-0.0217%26 Sept →
eldorado9–60.1324%26 Sept →
poseidon9–10.1636%26 Sept →
office7–130.0617%26 Sept →
cache12–120.0636%23 Sept →
nuke13–11-0.0418%21 Sept →
inferno10–13-0.0632%18 Sept →
anubis12–120.1522%18 Sept →
inferno2–13-0.103%13 Sept →
mirage2–13-0.0533%13 Sept →
nuke7–130.0223%12 Sept →
vertigo10–130.0223%11 Sept →
dust213–20.0724%11 Sept →
nuke10–13-0.0416%11 Sept →
dust213–8-0.0220%10 Sept →
office10–8-0.0140%10 Sept →
dust213–6-0.0421%9 Sept →
office13–80.0929%9 Sept →
mirage5–13-0.0022%9 Sept →
dust210–13-0.0028%9 Sept →
dust213–11-0.0320%8 Sept →
inferno4–130.0821%8 Sept →
inferno9–130.0225%7 Sept →
ancient13–10-0.0332%7 Sept →
office1–13-0.0214%6 Sept →
inferno13–110.0319%6 Sept →
nuke8–130.0218%6 Sept →
mirage12–120.0224%6 Sept →
overpass5–13-0.0337%6 Sept →
nuke13–50.0939%6 Sept →
debris4–9-0.0912%5 Sept →
vertigo9–7-0.0321%5 Sept →
mirage16–12-0.0229%5 Sept →
inferno5–13-0.0417%5 Sept →
mirage13–5-0.0917%3 Sept →
poseidon7–9-0.1124%3 Sept →
inferno6–9-0.0335%3 Sept →
debris7–9-0.0830%3 Sept →
train13–70.0927%3 Sept →

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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