.P#EYELUBE!

.P#EYELUBE! — CS2 Stats

US76561198013734048[U:1:53468320]Steam profile ↗✓ No bans

2,155Tracked matches68%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating16,357Purple band · top ~23% of ranked players (population est.)
FaceitLevel 5 · 960 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 16,357 -1,060 5 Sept – 14 Oct · 25 days played
13,04218,522peak 18,5225 Sept14 Oct
Faceit ELO: 960 +0 5 Sept – 3 Oct · 3 observations
960960peak 9605 Sept3 Oct
18,522Peak Premier in tracked matches
960Highest Faceit ELO seen on CSDB
24Days played since 2026-09-05

Faceit ELO

  • At peak — 960
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 91 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-05
  • Level 3 first seen 2026-09-05

Premier CS Rating

  • 2,165 below peak (18,522)
  • -340 over 30 days · steady
  • Next: Pink band at 20,000 — 3,643 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-05
  • Blue band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG.P#EYELUBE!FACEITLevel 5 · 960 ELOSTANDINGTop 67.6% of rankedPREMIER16,357 · Purple band30 DAYS0 ELOPEAK ELO960csdb.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

Aim74
Positioning66
Utility39

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateLWWWWWWWWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · −19ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 639ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 613ms

Last 20

  • 15–3–2 · 75% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 623ms

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 (+2.1 against its own average).

Aim7.4
Utility3.9
Positioning6.6
Opening Duels4.8
Clutch2.8

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

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 68% 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 68% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 595ms 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

Aim7.4
Positioning6.6
Utility3.9
Mechanics6.6
Opening Duels7.3
Win Impact10.0

Composite 6.8/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time604ms−27ms
first ⅓ avg 631ms → last ⅓ avg 604ms
Headshot accuracy23.4%+3.7%
first ⅓ avg 19.7% → last ⅓ avg 23.4%

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

0.11Best match rating · 13–4 · anubis, 29 Sept →
46%Best headshot accuracy · 7–13 · cache, 4 Oct →
453msFastest reaction time · 6–13 · dust2, 5 Oct →
13–0Biggest win · dust2, 29 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
7–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 67% over 9ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2415–963%0.01
anubisS2013–765%0.01
cacheB179–853%0.01
dust2D155–1033%0.01
mirageD103–730%-0.00
nukeS96–367%-0.01
ancientD51–420%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

604Matches
52%Win rate
1.09Avg K/D
78.6ADR
42%Headshot %

Clutches & streaks

34%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4347%0.9614.7
Dust23661%1.1815.1
Ancient2759%0.9114.4
Inferno2552%0.9915.0
Anubis2148%1.0116.2
Nuke1567%1.0814.5
Cache475%1.1214.5
Vertigo250%1.0419.0

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.

23.3%Headshot accuracy
34.2%Accuracy (enemy spotted)
27.3%Spray accuracy
79.7%Counter-strafing
7.8°Preaim
595msReaction time
67.6%T opening success
50.8%CT opening success
0.50Enemies flashed / flash
2.4%Flash assists
9.16HE damage / grenade
3.20Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2026 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0910%14 Oct →
inferno13–6-0.0118%14 Oct →
mirage13–90.0731%14 Oct →
anubis13–7-0.0324%14 Oct →
anubis16–13-0.0429%12 Oct →
inferno13–2-0.0126%12 Oct →
nuke13–2-0.0332%11 Oct →
anubis13–90.0120%11 Oct →
inferno13–1-0.0920%11 Oct →
anubis13–70.0921%11 Oct →
inferno13–2-0.0119%11 Oct →
cache5–13-0.0825%11 Oct →
mirage15–150.0324%11 Oct →
anubis13–100.0113%11 Oct →
anubis15–150.0426%9 Oct →
inferno13–30.0125%9 Oct →
mirage13–1-0.0218%9 Oct →
inferno13–7-0.0329%9 Oct →
anubis13–20.0324%9 Oct →
inferno8–13-0.0217%8 Oct →
dust28–13-0.0817%8 Oct →
inferno13–110.0423%8 Oct →
inferno4–13-0.0232%8 Oct →
anubis7–130.0620%8 Oct →
nuke13–20.0920%8 Oct →
nuke13–10-0.0341%7 Oct →
dust25–130.0933%7 Oct →
anubis9–130.0131%6 Oct →
nuke13–70.0118%6 Oct →
inferno14–160.0415%6 Oct →
cache13–110.0627%6 Oct →
cache10–13-0.0324%6 Oct →
dust25–130.0123%5 Oct →
anubis10–13-0.0334%5 Oct →
dust26–130.0132%5 Oct →
dust213–100.1025%4 Oct →
anubis13–50.0230%4 Oct →
dust210–130.0131%4 Oct →
inferno15–150.0319%4 Oct →
cache7–13-0.0046%4 Oct →
inferno13–80.0329%4 Oct →
inferno13–16-0.0015%4 Oct →
cache6–13-0.0212%3 Oct →
dust216–13-0.0220%3 Oct →
anubis13–60.0018%3 Oct →
cache13–110.0520%3 Oct →
inferno13–50.0913%3 Oct →
cache5–13-0.0118%3 Oct →
mirage8–13-0.0320%3 Oct →
anubis13–90.0120%3 Oct →
dust28–13-0.0030%3 Oct →
cache13–80.0038%2 Oct →
dust213–9-0.0324%2 Oct →
nuke11–13-0.0236%2 Oct →
ancient10–13-0.0418%1 Oct →
dust210–13-0.0529%1 Oct →
ancient4–13-0.0214%29 Sept →
dust213–00.0218%29 Sept →
anubis13–40.1130%29 Sept →
dust213–16-0.0228%29 Sept →
dust210–13-0.0224%29 Sept →
anubis8–13-0.0722%28 Sept →
ancient13–50.0518%27 Sept →
inferno13–100.0125%27 Sept →
cache11–130.0337%27 Sept →
ancient15–150.0225%27 Sept →
nuke16–14-0.0117%26 Sept →
dust28–130.0123%26 Sept →
inferno8–13-0.0426%26 Sept →
nuke8–13-0.1019%25 Sept →
mirage13–16-0.0322%25 Sept →
inferno11–130.0715%25 Sept →
mirage8–13-0.0319%25 Sept →
cache8–13-0.0317%25 Sept →
cache13–50.0323%24 Sept →
inferno13–90.0123%24 Sept →
anubis13–80.0629%24 Sept →
mirage16–120.0325%24 Sept →
cache13–40.0328%23 Sept →
mirage11–13-0.0626%23 Sept →
nuke13–110.0522%23 Sept →
anubis13–11-0.0213%23 Sept →
inferno16–120.0722%23 Sept →
mirage11–130.0220%22 Sept →
inferno11–13-0.0320%22 Sept →
cache13–110.0728%21 Sept →
nuke8–13-0.044%21 Sept →
inferno13–60.017%21 Sept →
inferno13–60.0722%20 Sept →
inferno13–30.0822%20 Sept →
cache13–9-0.0016%20 Sept →
cache13–50.0418%20 Sept →
anubis10–130.0418%20 Sept →
mirage11–13-0.038%20 Sept →
anubis7–13-0.0320%19 Sept →
ancient10–13-0.0417%19 Sept →
inferno11–130.0212%19 Sept →
dust213–100.0522%19 Sept →
anubis13–6-0.0724%17 Sept →
cache13–100.0522%17 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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