egg

egg — CS2 Stats

US76561199168097837[U:1:1207832109]Steam profile ↗✓ No bans

731Tracked matches58%Win rate2026Tracked since
CSDB Rating6.5 SolidSupport
Premier CS Rating19,559Top 50% of 213,740 CSDB-tracked playersPurple band · top ~10.3% of ranked players (population est.)
CSDB Leaderboard#92389 of 260212 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (7 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: 19,559 -388 28 Aug – 31 Oct · 21 days played
19,32621,134peak 21,13428 Aug31 Oct
21,391Peak Premier in tracked matches
36Days played since 2026-08-28

Premier CS Rating

  • 1,575 below peak (21,134)
  • -1,575 over 30 days · declining
  • Next: Pink band at 20,000 — 441 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue 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.

Share this profile

CSDB.GGeggPREMIER19,559 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning65
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY58–32–10Last 10058%Win rateWWTWTWLWWT

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · +1.9pp headshot accuracy · +9ms 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

  • 3–0–2 · 60% win rate
  • Avg rating 0.11
  • Avg headshot accuracy 13%
  • Avg reaction 427ms

Last 10

  • 6–1–3 · 60% win rate
  • Avg rating 0.11
  • Avg headshot accuracy 13%
  • Avg reaction 427ms

Last 20

  • 10–4–6 · 50% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 12%
  • Avg reaction 422ms

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 (+2.3 against its own average).

Aim8.1
Utility6.6
Positioning6.5
Opening Duels4.0
Clutch0.0

Effective flashes

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Counter-strafing. Only 67% 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

Aim8.1
Positioning6.5
Utility6.6
Mechanics3.7
Opening Duels4.9
Win Impact7.8

Composite 6.5/10 (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 rating0.07−0.01
first ⅓ avg 0.09 → last ⅓ avg 0.07
Reaction time423ms+31ms
first ⅓ avg 392ms → last ⅓ avg 423ms
Headshot accuracy11.0%−1.3%
first ⅓ avg 12.3% → last ⅓ avg 11.0%

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

0.45Best match rating · 9–0 · inferno, 6 Sept →
22%Best headshot accuracy · 13–5 · dust2, 22 Sept →
281msFastest reaction time · 13–2 · train, 28 Sept →
13–1Biggest win · overpass, 2 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
10–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B189–950%0.06
infernoA1811–761%0.09
anubisA159–660%0.06
mirageB136–746%0.02
nukeA116–555%0.08
ancientA95–456%0.06
overpassS54–180%0.17
cacheA53–260%0.04
vertigo—32–167%0.07
train—22–0100%0.17
italy—11–0100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
0%Win rate
0.62Avg K/D
60.7ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.609.0
Inferno10%0.9314.0
Ancient10%0.365.0
Mirage10%0.5910.0

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.

11.0%Headshot accuracy
42.8%Accuracy (enemy spotted)
34.7%Spray accuracy
66.6%Counter-strafing
7.9°Preaim
419msReaction time
54.5%T opening success
44.8%CT opening success
0.78Enemies flashed / flash
5.4%Flash assists
14.74HE damage / grenade
20.76Flashes / 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. 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 11.0293% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–110.0915%7 Nov →
anubis13–60.0213%7 Nov →
dust212–120.1914%7 Nov →
overpass13–10.1712%2 Nov →
dust212–120.0711%2 Nov →
nuke13–80.1912%2 Nov →
dust28–130.0412%31 Oct →
ancient13–100.1113%31 Oct →
anubis13–110.0712%30 Oct →
inferno12–120.1315%30 Oct →
anubis10–130.1013%30 Oct →
inferno9–130.0913%29 Oct →
dust212–120.049%29 Oct →
anubis13–70.026%29 Oct →
inferno13–70.1314%28 Oct →
mirage13–110.0710%28 Oct →
ancient13–40.0814%28 Oct →
cache12–120.0410%27 Oct →
ancient12–120.048%27 Oct →
vertigo9–13-0.0312%27 Oct →
nuke13–100.128%27 Oct →
nuke14–160.119%24 Oct →
anubis5–130.0113%24 Oct →
dust28–130.028%23 Oct →
inferno3–130.0114%23 Oct →
cache11–1-0.033%23 Oct →
anubis13–160.0710%18 Oct →
nuke13–90.0612%18 Oct →
mirage10–13-0.046%18 Oct →
train13–110.2610%17 Oct →
inferno11–130.0911%17 Oct →
dust213–50.0411%17 Oct →
mirage13–20.0611%17 Oct →
inferno13–9-0.0010%16 Oct →
dust25–130.0211%16 Oct →
inferno12–12-0.0514%15 Oct →
inferno9–130.024%15 Oct →
dust213–4-0.013%15 Oct →
mirage6–130.043%12 Oct →
dust29–2-0.036%12 Oct →
ancient5–130.0014%12 Oct →
ancient8–13-0.0310%11 Oct →
anubis10–1-0.054%11 Oct →
vertigo13–60.029%10 Oct →
anubis13–40.0611%9 Oct →
dust23–13-0.0114%9 Oct →
inferno2–9-0.1114%9 Oct →
inferno9–50.1616%9 Oct →
dust213–110.019%8 Oct →
mirage1–13-0.054%8 Oct →
nuke13–90.013%8 Oct →
overpass12–120.0615%3 Oct →
italy13–90.0112%3 Oct →
cache9–130.128%3 Oct →
overpass9–20.3918%2 Oct →
dust27–130.0916%2 Oct →
dust210–130.057%2 Oct →
mirage13–30.0718%1 Oct →
nuke13–40.118%1 Oct →
inferno16–140.0512%30 Sept →
vertigo13–30.224%30 Sept →
nuke13–30.148%30 Sept →
nuke10–130.0013%29 Sept →
train13–20.0918%28 Sept →
mirage13–80.1113%28 Sept →
cache13–60.059%28 Sept →
inferno9–70.0210%28 Sept →
mirage1–7-0.126%28 Sept →
dust213–10.2511%28 Sept →
ancient13–70.1217%28 Sept →
nuke7–130.0614%27 Sept →
nuke15–150.0913%27 Sept →
anubis13–40.106%25 Sept →
ancient13–110.0618%25 Sept →
inferno13–20.1710%25 Sept →
dust27–40.134%25 Sept →
inferno9–50.1119%24 Sept →
dust213–6-0.047%24 Sept →
inferno13–10.0819%24 Sept →
anubis13–100.098%24 Sept →
mirage15–150.1013%22 Sept →
dust213–50.0422%22 Sept →
dust213–40.1210%20 Sept →
inferno3–20.0714%20 Sept →
cache13–30.0519%20 Sept →
anubis13–40.0821%18 Sept →
anubis2–130.053%13 Sept →
mirage13–4-0.006%8 Sept →
anubis9–130.169%8 Sept →
nuke6–130.055%6 Sept →
ancient13–60.0714%6 Sept →
inferno9–00.4513%6 Sept →
anubis16–140.038%4 Sept →
anubis5–130.1216%4 Sept →
ancient10–130.0710%3 Sept →
overpass13–70.1414%3 Sept →
mirage11–13-0.0013%3 Sept →
mirage13–40.0310%3 Sept →
mirage8–13-0.0014%3 Sept →
inferno13–60.1418%2 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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