Egg Sheeran

Egg Sheeran — CS2 Stats

GB76561198105429713[U:1:145163985]Steam profile ↗✓ No bans

1,371Tracked matches54%Win rate2021Tracked since
1,606Hours in CS19Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating17,373Purple band · top ~19% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 17,373 +2,495 31 Aug – 13 Oct · 11 days played
14,87817,628peak 17,62831 Aug13 Oct
17,778Peak Premier in tracked matches
32Days played since 2026-08-31

Premier CS Rating

  • 255 below peak (17,628)
  • +853 over 30 days · improving
  • Next: Pink band at 20,000 — 2,627 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-08-31

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches74——
Win rate43%——
K/D1.08——
Headshot %49%——

Measured 17 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.6%44.3%46.9%2.3% short
Shot accuracy6.9%11.9%13.0%6.1% short
Kill/death ratio1.131.031.08above
Match win rate44.0%45.2%46.7%2.7% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGEgg SheeranPREMIER17,373 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning60
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY46–45–9Last 10046%Win rateWLTWLWWWLL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +2.2pp headshot accuracy · +56ms 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 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 572ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 605ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 577ms

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 (+1.8 against its own average).

Aim6.6
Utility1.5
Positioning6.0
Opening Duels3.5
Clutch6.0

Limited 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

s1mple

Plays most like s1mple 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 70% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 592ms 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

Aim6.6
Positioning6.0
Utility1.5
Mechanics5.1
Opening Duels6.9
Win Impact6.3

Composite 5.5/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time593ms+21ms
first ⅓ avg 572ms → last ⅓ avg 593ms
Headshot accuracy18.9%+0.2%
first ⅓ avg 18.7% → last ⅓ avg 18.9%

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

0.19Best match rating · 5–13 · dust2, 11 Sept →
35%Best headshot accuracy · 13–5 · office, 8 Oct →
406msFastest reaction time · 13–9 · anubis, 17 Sept →
13–0Biggest win · ancient, 13 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 69% over 13cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2410–1442%0.03
nukeC135–838%-0.00
mirageS139–469%0.02
ancientC104–640%-0.01
infernoD102–820%-0.02
anubisS96–367%-0.00
cacheD61–517%0.01
vertigo—43–175%0.04
office—42–250%0.05
overpass—43–175%0.04
train—21–150%-0.01
rush_001—10–10%-0.08

Across the last 100 tracked matches.

Lifetime stats

42,502Lifetime kills
1.13K/D · Top 50% of Purple band
2,499Matches
44.0%Match win rate
44.6%Headshot % · Top 50% of Purple band
6.9%Shot accuracy
6,337MVPs
837Hours (in match)
2,086Bombs planted
564Bombs defused

Most-used weapons

Lifetime map wins

5,365dust2
3,139inferno
1,762nuke
878vertigo
739train
483lake
229office
119cbble

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

Faceit stats

Combat

3Matches
0%Win rate
0.78Avg K/D
54.7ADR
32%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%1.1218.0
Inferno10%0.609.0
Dust210%0.6210.0

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.

18.8%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.4%Spray accuracy
73.0%Counter-strafing
9.5°Preaim
592msReaction time
69.7%T opening success
45.4%CT opening success
0.22Enemies flashed / flash
1.1%Flash assists
5.89HE damage / grenade
2.80Flashes / 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 0.2231 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.008%16 Oct →
ancient6–13-0.0622%15 Oct →
dust212–120.0522%15 Oct →
dust213–60.0827%14 Oct →
cache3–13-0.0324%14 Oct →
dust213–4-0.0024%13 Oct →
nuke13–100.0121%13 Oct →
ancient13–00.1027%13 Oct →
dust28–13-0.0719%12 Oct →
dust210–130.0128%11 Oct →
nuke12–120.0325%9 Oct →
vertigo13–20.0822%9 Oct →
anubis7–13-0.0213%9 Oct →
ancient13–110.0214%8 Oct →
dust212–120.0618%8 Oct →
office13–50.1335%8 Oct →
dust25–130.0515%7 Oct →
anubis13–30.0014%7 Oct →
train10–13-0.0022%7 Oct →
cache5–130.0121%6 Oct →
nuke13–80.1715%6 Oct →
cache1–13-0.0614%6 Oct →
mirage13–110.0513%6 Oct →
dust213–80.0524%6 Oct →
cache5–130.020%5 Oct →
mirage6–13-0.0619%5 Oct →
anubis13–100.0325%4 Oct →
ancient9–13-0.077%2 Oct →
mirage13–80.009%2 Oct →
nuke12–12-0.0119%1 Oct →
dust213–8-0.0118%1 Oct →
ancient6–13-0.0721%30 Sept →
ancient13–100.0018%29 Sept →
ancient10–13-0.0030%28 Sept →
mirage13–30.0712%28 Sept →
inferno6–9-0.1121%28 Sept →
dust213–3-0.0315%27 Sept →
overpass13–100.0417%26 Sept →
office10–130.0921%26 Sept →
anubis13–8-0.0117%26 Sept →
ancient11–130.0313%25 Sept →
dust213–8-0.0222%25 Sept →
cache12–120.0821%25 Sept →
mirage13–60.0111%25 Sept →
nuke8–130.0231%25 Sept →
rush_0015–8-0.0814%23 Sept →
overpass7–13-0.0022%23 Sept →
dust211–130.0726%23 Sept →
nuke1–13-0.108%23 Sept →
vertigo13–9-0.0512%23 Sept →
vertigo10–13-0.0013%23 Sept →
nuke10–13-0.0521%22 Sept →
mirage13–10.0519%22 Sept →
dust29–13-0.0220%22 Sept →
inferno3–6-0.0230%21 Sept →
inferno8–13-0.0328%21 Sept →
ancient5–13-0.0320%21 Sept →
dust21–13-0.0617%19 Sept →
inferno10–13-0.0417%19 Sept →
inferno7–130.0124%19 Sept →
cache13–70.0215%19 Sept →
dust212–12-0.0310%17 Sept →
anubis7–13-0.0310%17 Sept →
anubis13–9-0.0220%17 Sept →
ancient13–8-0.0117%17 Sept →
dust213–9-0.0129%17 Sept →
nuke9–13-0.058%16 Sept →
inferno8–13-0.0824%16 Sept →
mirage2–13-0.0635%16 Sept →
anubis13–11-0.0224%16 Sept →
mirage9–130.0114%15 Sept →
dust28–130.0220%15 Sept →
overpass13–90.1018%14 Sept →
dust213–110.0924%14 Sept →
dust25–13-0.0313%12 Sept →
nuke9–50.0819%12 Sept →
anubis12–120.0213%12 Sept →
dust212–120.1320%12 Sept →
nuke6–13-0.0117%12 Sept →
mirage13–60.0920%12 Sept →
vertigo8–00.1313%12 Sept →
overpass13–50.0419%11 Sept →
dust25–130.1919%11 Sept →
inferno13–40.1813%11 Sept →
mirage13–90.1211%11 Sept →
office6–13-0.0515%11 Sept →
dust213–9-0.0019%11 Sept →
mirage13–9-0.038%11 Sept →
inferno7–9-0.0917%11 Sept →
inferno12–12-0.0122%11 Sept →
dust213–60.1729%10 Sept →
dust25–13-0.0018%10 Sept →
mirage6–130.0224%10 Sept →
nuke3–9-0.0716%10 Sept →
anubis13–30.0422%9 Sept →
inferno13–50.0030%9 Sept →
nuke13–6-0.0310%9 Sept →
train13–3-0.0123%9 Sept →
office13–30.0518%9 Sept →
mirage13–1-0.0215%9 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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