faze cumsock

faze cumsock — CS2 Stats

CD76561198316005016[U:1:355739288]Steam profile ↗✓ No bans

745Tracked matches43%Win rate2020Tracked since
2,927Hours in CS26Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating22,160Top 50% of 210,367 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#53684 of 257466 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+1005Premier CS Rating · 21,155 → 22,160

Rating over time

Premier CS Rating: 22,160 +2,436 27 Aug – 25 Oct · 30 days played
18,59422,415peak 22,41527 Aug25 Oct
23,213Peak Premier in tracked matches
28Days played since 2026-08-27

Premier CS Rating

  • 255 below peak (22,415)
  • +1,280 over 30 days · improving
  • Next: Red band at 25,000 — 2,840 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-19
  • Purple band first seen 2026-09-15

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
Matches133——
Win rate28%——
K/D0.66——
Headshot %70%——

Measured 25 Sep 2026 → 25 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate58.9%46.9%49.3%above
Shot accuracy3.0%13.0%13.4%10.3% short
Kill/death ratio0.511.081.120.61 short
Match win rate10.0%46.7%48.5%38.5% short

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

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

Share this profile

CSDB.GGfaze cumsockPREMIER22,160 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning58
Utility20

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateWWWWWWLWLW

Last 10 vs previous 10: +50pp win rate · +0.06 avg rating · +4.6pp headshot accuracy · −38ms reaction

Win rate up 50pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 486ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 486ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 505ms

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 (+1.9 against its own average).

Aim8.3
Utility2.0
Positioning5.8
Opening Duels3.9

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

donk

Plays most like donk 81% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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. 60% 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.

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

Aim8.3
Positioning5.8
Utility2.0
Mechanics7.2
Opening Duels6.3
Win Impact2.8

Composite 6.1/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time518ms−27ms
first ⅓ avg 545ms → last ⅓ avg 518ms
Headshot accuracy18.3%−1.5%
first ⅓ avg 19.8% → last ⅓ avg 18.3%

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

0.15Best match rating · 13–6 · dust2, 14 Sept →
34%Best headshot accuracy · 10–13 · dust2, 13 Sept →
375msFastest reaction time · 7–13 · inferno, 10 Oct →
13–1Biggest win · anubis, 4 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W6Current streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 70% over 10ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%0.03
mirageB2211–1150%0.02
nukeB157–847%0.03
infernoA148–657%0.01
ancientD113–827%0.00
anubisS107–370%0.05
cache—44–0100%-0.00
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,964Lifetime kills
0.51K/D
8,242Matches
10.0%Match win rate
58.9%Headshot % · Top 10% of Pink band
3.0%Shot accuracy
5,112MVPs
4,061Hours (in match)
1,150Bombs planted
600Bombs defused

Most-used weapons

Lifetime map wins

8,379dust2
1,872inferno
863nuke
417vertigo
185train
12lake
7cbble
4italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.6%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.3%Spray accuracy
82.3%Counter-strafing
8.9°Preaim
508msReaction time
60.3%T opening success
50.1%CT opening success
0.32Enemies flashed / flash
7.2%Flash assists
6.61HE damage / grenade
1.19Flashes / 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 0.3182 — below the 0.5 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–110.0216%25 Oct →
nuke13–90.0223%25 Oct →
anubis13–50.1219%25 Oct →
nuke13–80.1015%24 Oct →
nuke13–7-0.0115%24 Oct →
ancient16–140.1131%24 Oct →
nuke5–13-0.0117%16 Oct →
anubis16–140.0413%16 Oct →
mirage1–130.0320%16 Oct →
inferno13–60.0423%15 Oct →
mirage5–13-0.0713%15 Oct →
anubis10–13-0.0511%14 Oct →
mirage13–110.0225%14 Oct →
cache13–6-0.0219%14 Oct →
ancient6–130.0111%14 Oct →
mirage3–13-0.037%14 Oct →
anubis13–9-0.0020%14 Oct →
ancient9–13-0.018%12 Oct →
nuke14–160.0525%12 Oct →
mirage11–13-0.047%11 Oct →
dust24–130.0231%11 Oct →
nuke8–130.0425%11 Oct →
nuke5–13-0.0221%11 Oct →
mirage8–130.0025%10 Oct →
dust213–70.0326%10 Oct →
mirage13–50.0222%10 Oct →
inferno6–13-0.0813%10 Oct →
inferno12–16-0.0320%10 Oct →
mirage6–13-0.0519%10 Oct →
inferno7–13-0.0113%10 Oct →
nuke8–13-0.0011%9 Oct →
ancient7–13-0.0423%9 Oct →
inferno13–40.0219%9 Oct →
inferno13–110.0017%9 Oct →
mirage6–40.0022%9 Oct →
dust213–80.0617%9 Oct →
dust213–7-0.0420%9 Oct →
inferno16–13-0.017%9 Oct →
dust29–130.0128%4 Oct →
inferno7–13-0.0717%4 Oct →
anubis13–10.1222%4 Oct →
dust213–80.0523%3 Oct →
anubis16–140.0819%3 Oct →
dust27–130.0327%28 Sept →
inferno13–100.1010%28 Sept →
mirage7–13-0.0330%28 Sept →
mirage10–130.0817%27 Sept →
ancient8–130.1326%26 Sept →
mirage13–10.0911%26 Sept →
inferno11–130.0421%23 Sept →
mirage13–100.0418%23 Sept →
dust213–40.0732%23 Sept →
anubis13–50.0826%23 Sept →
nuke9–130.0622%22 Sept →
dust211–130.0625%22 Sept →
nuke13–5-0.0010%22 Sept →
mirage8–130.0214%21 Sept →
dust26–13-0.0723%21 Sept →
mirage16–130.0224%21 Sept →
mirage13–110.0123%16 Sept →
mirage13–50.0715%16 Sept →
dust213–80.1119%14 Sept →
dust213–60.1520%14 Sept →
cache13–80.0120%14 Sept →
mirage13–80.1125%14 Sept →
ancient10–130.0219%13 Sept →
dust213–50.0822%13 Sept →
ancient13–7-0.0226%13 Sept →
dust210–130.0034%13 Sept →
nuke11–130.0115%13 Sept →
anubis8–130.0623%12 Sept →
ancient11–13-0.0516%12 Sept →
inferno11–130.0420%10 Sept →
inferno13–110.0413%10 Sept →
mirage13–100.0520%10 Sept →
dust213–160.0514%10 Sept →
dust213–110.0317%10 Sept →
vertigo0–13-0.0821%10 Sept →
nuke13–40.1321%10 Sept →
mirage13–50.1033%10 Sept →
dust215–150.0218%10 Sept →
dust28–130.0126%10 Sept →
anubis8–130.0125%4 Sept →
nuke13–40.0410%4 Sept →
dust213–9-0.0420%2 Sept →
ancient3–13-0.0627%2 Sept →
nuke11–130.0124%2 Sept →
anubis13–70.0210%2 Sept →
ancient8–13-0.0018%1 Sept →
inferno13–70.0217%1 Sept →
dust24–13-0.0221%1 Sept →
dust213–100.0525%1 Sept →
mirage6–13-0.0520%31 Aug →
inferno13–80.0124%31 Aug →
ancient13–2-0.0512%31 Aug →
nuke13–80.0819%30 Aug →
dust26–13-0.0118%30 Aug →
cache13–2-0.0216%30 Aug →
dust212–120.0517%27 Aug →
mirage8–130.0617%27 Aug →

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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