sMOCKEN

sMOCKEN — CS2 Stats

76561197971381040[U:1:11115312]Steam profile ↗✓ No bans

1,907Tracked matches50%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
FaceitLevel 9 · 2,144 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,144 → 2,144
+71Tracked matches · now 1,907
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 23,937 -444 22 Feb – 3 May · 15 days played
22,53124,524peak 24,52422 Feb3 May
24,602Peak Premier in tracked matches
2,144Highest Faceit ELO seen on CSDB
51Days played since 2026-02-21

Faceit ELO

  • At peak — 2,144
  • Next: 2,500 ELO at 2,500 — 356 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

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.GGsMOCKENFACEITLevel 9 · 2,144 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,144csdb.gg/stats

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Performance scores

Aim74
Positioning62
Utility60

0–100 skill scores via Leetify.

Recent form

HOT46–53–1Last 10046%Win rateWLLWWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −4.1pp headshot accuracy · −3ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 593ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 521ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 522ms

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 (+1.1 against its own average).

Aim7.4
Utility6.0
Positioning6.2
Opening Duels4.4
Clutch3.6

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.4
Positioning6.2
Utility6.0
Mechanics5.4
Opening Duels3.8
Win Impact5.0

Composite 6.1/10 (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 time520ms−40ms
first ⅓ avg 559ms → last ⅓ avg 520ms
Headshot accuracy17.4%+1.8%
first ⅓ avg 15.7% → last ⅓ avg 17.4%

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 · 13–8 · cache, 13 Oct →
42%Best headshot accuracy · 3–13 · mirage, 3 May →
406msFastest reaction time · 7–13 · anubis, 23 Sept →
13–1Biggest win · cache, 4 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–12In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 82% over 11mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C2610–1638%-0.01
mirageC145–936%0.00
infernoB137–654%0.01
anubisB136–746%0.00
ancientB136–746%0.01
cacheS119–282%0.03
nukeC83–538%-0.02
overpass—20–20%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,153Matches
51%Win rate
1.14Avg K/D
83.9ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust220453%1.1016.6
Inferno17551%1.0617.1
Ancient14948%1.0516.7
Anubis10849%1.0416.1
Mirage9645%1.0216.3
Nuke5246%1.0416.8
Train4751%1.1418.2
Cache3155%1.2117.0

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.

17.5%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.5%Spray accuracy
74.3%Counter-strafing
11.3°Preaim
503msReaction time
45.8%T opening success
45.0%CT opening success
0.51Enemies flashed / flash
5.3%Flash assists
8.21HE damage / grenade
8.84Flashes / match

Recommended for you

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.1117%13 Oct →
inferno8–130.0229%9 Oct →
inferno9–13-0.0511%5 Oct →
cache13–10.036%4 Oct →
inferno13–10-0.018%2 Oct →
anubis13–70.0713%27 Sept →
anubis13–110.008%27 Sept →
cache16–14-0.0120%25 Sept →
nuke13–7-0.0225%24 Sept →
anubis7–130.0532%23 Sept →
mirage7–13-0.0418%23 Sept →
cache13–80.0829%19 Sept →
inferno13–90.019%18 Sept →
dust28–1-0.0125%14 Sept →
ancient10–13-0.0524%9 Sept →
anubis5–13-0.0218%5 Sept →
dust28–13-0.0013%29 Aug →
cache13–110.0222%29 Aug →
cache7–13-0.0420%29 Aug →
nuke9–13-0.0430%28 Aug →
dust213–11-0.0615%28 Aug →
dust23–13-0.0618%25 Aug →
cache6–13-0.0114%21 Aug →
mirage13–60.0014%21 Aug →
ancient11–130.0114%21 Aug →
nuke10–13-0.0214%19 Aug →
inferno13–80.0314%13 Aug →
mirage14–160.0217%15 Jul →
ancient19–170.0011%7 Jul →
dust211–13-0.0024%6 Jul →
dust213–2-0.0021%3 Jul →
mirage13–40.049%3 Jul →
cache13–70.0814%1 Jul →
mirage9–13-0.0214%1 Jul →
dust213–80.0222%1 Jun →
anubis8–13-0.075%28 May →
nuke5–13-0.0118%24 May →
inferno11–130.0510%23 May →
cache16–14-0.0213%21 May →
nuke13–30.046%17 May →
nuke1–13-0.0425%15 May →
cache13–30.0820%15 May →
cache13–70.0413%10 May →
dust211–13-0.0812%10 May →
mirage3–13-0.0542%3 May →
ancient13–110.0120%3 May →
anubis13–70.0215%3 May →
mirage12–10.0819%1 May →
overpass9–130.0413%1 May →
dust210–130.0614%1 May →
ancient8–13-0.0211%1 May →
dust213–80.0826%1 May →
inferno13–90.0518%29 Apr →
mirage13–16-0.0120%28 Apr →
ancient4–13-0.0229%28 Apr →
dust213–50.0035%28 Apr →
anubis7–13-0.0217%28 Apr →
ancient13–70.0613%23 Apr →
dust213–9-0.0013%23 Apr →
inferno9–130.0120%23 Apr →
mirage11–13-0.0323%22 Apr →
dust213–30.068%22 Apr →
ancient13–5-0.0517%22 Apr →
nuke10–13-0.0710%20 Apr →
anubis4–13-0.0510%20 Apr →
dust27–13-0.0712%20 Apr →
nuke13–110.0116%20 Apr →
dust211–130.0016%18 Apr →
inferno13–100.0313%18 Apr →
ancient4–13-0.0111%18 Apr →
dust29–13-0.0115%18 Apr →
anubis13–100.0415%3 Apr →
overpass7–13-0.079%3 Apr →
inferno3–13-0.0323%3 Apr →
ancient9–13-0.0016%14 Mar →
inferno7–13-0.0513%14 Mar →
dust28–13-0.0421%14 Mar →
anubis16–120.0616%14 Mar →
mirage11–130.0116%14 Mar →
inferno13–100.0123%3 Mar →
dust210–13-0.0517%2 Mar →
mirage13–100.0910%1 Mar →
dust213–7-0.0120%1 Mar →
mirage7–13-0.0019%28 Feb →
dust214–160.0220%28 Feb →
dust29–13-0.0615%27 Feb →
anubis13–9-0.018%27 Feb →
ancient11–13-0.0117%27 Feb →
dust212–120.0317%27 Feb →
anubis11–130.016%26 Feb →
mirage7–13-0.0417%26 Feb →
inferno13–50.056%26 Feb →
dust25–13-0.0424%26 Feb →
dust211–13-0.0023%22 Feb →
ancient13–80.0924%22 Feb →
anubis10–13-0.0211%22 Feb →
dust26–130.1020%22 Feb →
ancient13–40.0910%22 Feb →
mirage13–50.0414%22 Feb →
dust213–7-0.0210%21 Feb →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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