egg

egg — CS2 Stats

76561199051368206[U:1:1091102478]Steam profile ↗✓ No bans

1,693Tracked matches67%Win rate2021Tracked since
CSDB Rating3.3 LearningPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (4 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: 15,000 +2,931 29 Aug – 13 Oct · 25 days played
11,32415,000peak 15,00029 Aug13 Oct
15,100Peak Premier in tracked matches
24Days played since 2026-08-29

Premier CS Rating

  • At peak — 15,000
  • +2,864 over 30 days · improving
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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

Share this profile

CSDB.GGeggPREMIER15,000 · Purple bandcsdb.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

Aim23
Positioning51
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateTLWWWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.7pp headshot accuracy · −31ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 534ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 521ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 537ms

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).

Aim2.3
Utility2.4
Positioning5.1
Opening Duels1.8

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

jL

Plays most like jL 68% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Counter-strafing. Only 43% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.3
Positioning5.1
Utility2.4
Mechanics0.0
Opening Duels2.2
Win Impact10.0

Composite 3.3/10 (Learning), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time528ms−12ms
first ⅓ avg 540ms → last ⅓ avg 528ms
Headshot accuracy14.2%+1.3%
first ⅓ avg 12.9% → last ⅓ avg 14.2%

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

0.12Best match rating · 13–11 · nuke, 8 Sept →
44%Best headshot accuracy · 1–6 · ancient, 22 Sept →
352msFastest reaction time · 7–2 · cache, 4 Sept →
13–2Biggest win · cache, 4 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 64% over 11nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2012–860%0.02
mirageB1910–953%-0.00
ancientA1911–858%0.00
infernoA148–657%-0.00
anubisA117–464%0.00
nukeC104–640%0.01
cacheA74–357%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke 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.

13.4%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.7%Spray accuracy
42.7%Counter-strafing
14.8°Preaim
536msReaction time
39.8%T opening success
37.7%CT opening success
0.23Enemies flashed / flash
5.5%Flash assists
7.09HE damage / grenade
1.08Flashes / 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 14.8286° — above the 12° mark we flag

    Aim Training →
  2. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 42.7478% — below the 45% mark we flag

    Practice Config →
  3. 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 13.431% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0313%13 Oct →
anubis11–130.0222%13 Oct →
mirage13–40.0910%13 Oct →
anubis13–60.1211%13 Oct →
inferno13–80.0214%13 Oct →
mirage13–80.0114%12 Oct →
ancient13–6-0.0214%28 Sept →
ancient13–10-0.067%27 Sept →
dust29–130.0119%27 Sept →
nuke8–13-0.086%25 Sept →
nuke7–130.038%25 Sept →
dust210–130.0413%25 Sept →
mirage10–13-0.0514%24 Sept →
cache16–120.0113%24 Sept →
dust213–8-0.0326%23 Sept →
ancient13–11-0.0321%23 Sept →
inferno13–70.0211%23 Sept →
cache10–13-0.0115%23 Sept →
mirage8–13-0.0214%23 Sept →
nuke12–120.010%22 Sept →
nuke13–80.024%22 Sept →
anubis13–6-0.037%22 Sept →
ancient1–6-0.0344%22 Sept →
dust213–60.1124%22 Sept →
inferno13–60.0719%21 Sept →
ancient13–10-0.038%21 Sept →
anubis13–4-0.0414%20 Sept →
ancient13–80.0112%20 Sept →
mirage16–13-0.0114%20 Sept →
mirage15–150.0113%20 Sept →
dust216–120.0114%20 Sept →
nuke6–13-0.0615%19 Sept →
dust213–30.0516%19 Sept →
mirage13–40.0114%19 Sept →
nuke13–90.0513%19 Sept →
mirage13–7-0.0212%19 Sept →
cache4–13-0.0611%19 Sept →
dust213–60.059%19 Sept →
anubis8–13-0.0119%19 Sept →
dust211–13-0.0618%19 Sept →
ancient16–140.0213%18 Sept →
inferno3–13-0.0511%18 Sept →
dust29–13-0.0012%18 Sept →
ancient6–13-0.039%18 Sept →
anubis13–70.069%18 Sept →
ancient13–80.0715%18 Sept →
inferno1–13-0.1115%17 Sept →
mirage4–13-0.0216%17 Sept →
dust215–150.0117%16 Sept →
ancient6–13-0.0614%16 Sept →
ancient16–140.0111%16 Sept →
anubis11–13-0.0315%15 Sept →
mirage16–13-0.0116%15 Sept →
inferno13–100.0213%15 Sept →
dust213–80.0121%15 Sept →
anubis11–13-0.0210%14 Sept →
dust213–110.0117%14 Sept →
anubis13–80.0226%14 Sept →
ancient13–90.0417%14 Sept →
mirage10–13-0.0211%14 Sept →
ancient13–160.0315%13 Sept →
anubis13–11-0.0314%13 Sept →
ancient12–160.0012%13 Sept →
inferno6–130.0313%13 Sept →
ancient15–150.0114%13 Sept →
mirage8–13-0.0612%13 Sept →
mirage8–130.0012%13 Sept →
mirage9–13-0.0517%13 Sept →
dust213–50.0412%13 Sept →
inferno7–130.0317%13 Sept →
ancient8–130.0316%12 Sept →
dust216–14-0.0015%12 Sept →
mirage13–90.0011%12 Sept →
ancient13–70.0914%12 Sept →
dust213–90.0011%10 Sept →
mirage13–70.0115%10 Sept →
inferno5–13-0.0314%9 Sept →
mirage13–70.0220%9 Sept →
anubis13–10-0.0115%8 Sept →
mirage13–40.0916%8 Sept →
inferno4–13-0.068%8 Sept →
nuke13–110.1216%8 Sept →
mirage9–13-0.0414%5 Sept →
ancient6–13-0.039%5 Sept →
cache9–13-0.0114%5 Sept →
dust29–130.0515%5 Sept →
dust213–90.0511%5 Sept →
nuke13–110.047%5 Sept →
nuke11–130.0014%4 Sept →
inferno13–50.0015%4 Sept →
cache13–20.1115%4 Sept →
cache7–2-0.083%4 Sept →
nuke14–16-0.047%4 Sept →
ancient13–11-0.0114%4 Sept →
inferno16–120.0118%4 Sept →
cache13–7-0.038%4 Sept →
dust213–60.0517%3 Sept →
dust29–13-0.0014%3 Sept →
inferno13–70.029%3 Sept →
inferno16–13-0.007%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 →

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