snobz

snobz — CS2 Stats

DE76561198167736468[U:1:207470740]Steam profile ↗✓ No bans

1,714Tracked matches63%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
CSDB Leaderboard#51843 of 259852 tracked
FaceitLevel 8 · 1,434 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,363 -298 20 May – 22 Jun · 10 days played
21,46922,661peak 22,66120 May22 Jun
22,711Peak Premier in tracked matches
1,434Highest Faceit ELO seen on CSDB
36Days played since 2026-05-20

Faceit ELO

  • At peak — 1,434
  • Next: Level 8 at 1,531 — 97 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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

Share this profile

CSDB.GGsnobzFACEITLevel 8 · 1,434 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,434csdb.gg/stats

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Performance scores

Aim80
Positioning72
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateWWLWLLLWLW

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · −1.7pp headshot accuracy · +21ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 549ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 539ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 529ms

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).

Aim8.0
Utility6.0
Positioning7.2
Opening Duels4.9
Clutch2.2

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

m0NESY

Plays most like m0NESY 88% 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 54% on CT — first contacts on the defending side are being lost.

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

Aim8.0
Positioning7.2
Utility6.0
Mechanics7.3
Opening Duels8.0
Win Impact9.4

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time541ms−47ms
first ⅓ avg 588ms → last ⅓ avg 541ms
Headshot accuracy26.3%+3.8%
first ⅓ avg 22.5% → last ⅓ avg 26.3%

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

0.10Best match rating · 13–6 · ancient, 23 Oct →
100%Best headshot accuracy · 0–13 · inferno, 11 Jun →
391msFastest reaction time · 5–9 · vertigo, 8 Sept →
13–0Biggest win · nuke, 4 Aug →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W2Current streak
13–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 68% over 25nukeWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB3016–1453%-0.00
dust2S2517–868%0.00
nukeC167–944%-0.01
ancientA159–660%0.01
cacheS64–267%-0.01
mirage—31–233%-0.05
vertigo—21–150%0.04
overpass—22–0100%-0.02
anubis—10–10%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

452Matches
52%Win rate
1.11Avg K/D
83.9ADR
53%Headshot %

Clutches & streaks

31%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust27646%1.0316.4
Inferno6853%1.0816.4
Ancient4949%1.1217.7
Nuke4151%1.1716.5
Anubis1145%0.8914.3
Cache757%0.9418.0
Mirage633%0.9318.5
Overpass2100%1.2823.0

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.

26.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.1%Spray accuracy
82.9%Counter-strafing
9.3°Preaim
545msReaction time
70.2%T opening success
53.7%CT opening success
0.62Enemies flashed / flash
5.0%Flash assists
10.40HE damage / grenade
8.87Flashes / match

Recommended for you

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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–70.0027%3 Nov →
dust216–140.0031%3 Nov →
mirage3–12-0.078%3 Nov →
inferno13–10-0.0625%30 Oct →
ancient10–13-0.0323%30 Oct →
dust24–130.0123%30 Oct →
ancient10–130.0329%30 Oct →
ancient13–80.0131%26 Oct →
nuke9–130.0133%26 Oct →
inferno16–140.0029%26 Oct →
dust213–80.0338%25 Oct →
inferno13–100.0029%25 Oct →
inferno13–6-0.0228%25 Oct →
ancient13–90.0220%25 Oct →
nuke13–70.0131%25 Oct →
cache13–110.0016%25 Oct →
cache13–80.0126%23 Oct →
nuke13–6-0.0024%23 Oct →
ancient13–60.1036%23 Oct →
inferno13–90.0625%23 Oct →
anubis6–13-0.0624%20 Oct →
nuke10–130.0216%20 Oct →
inferno8–130.0436%20 Oct →
cache16–14-0.0124%20 Oct →
dust25–13-0.0429%13 Oct →
inferno7–13-0.0129%13 Oct →
dust213–100.0130%13 Oct →
ancient10–13-0.0028%13 Oct →
ancient13–110.0420%12 Oct →
dust213–100.0028%12 Oct →
inferno11–13-0.0027%12 Oct →
inferno13–100.0323%6 Oct →
dust213–11-0.0322%6 Oct →
ancient11–13-0.0416%6 Oct →
dust212–16-0.0226%29 Sept →
inferno6–13-0.0421%29 Sept →
ancient2–2-0.0667%29 Sept →
inferno10–130.0325%23 Sept →
ancient13–8-0.0327%23 Sept →
inferno16–12-0.0119%22 Sept →
dust213–20.0328%22 Sept →
inferno4–13-0.0020%22 Sept →
dust216–140.0621%22 Sept →
nuke9–13-0.0325%17 Sept →
nuke9–13-0.0613%17 Sept →
inferno8–13-0.0313%17 Sept →
mirage13–4-0.0323%17 Sept →
inferno16–14-0.0120%13 Sept →
vertigo5–90.0437%8 Sept →
nuke13–6-0.0719%27 Aug →
dust23–9-0.0422%27 Aug →
inferno13–9-0.0617%26 Aug →
cache14–16-0.0319%26 Aug →
dust213–9-0.0123%24 Aug →
cache12–16-0.0623%24 Aug →
vertigo13–80.0426%24 Aug →
inferno13–11-0.0417%24 Aug →
inferno2–13-0.0033%21 Aug →
ancient7–13-0.0929%21 Aug →
nuke16–13-0.0023%17 Aug →
dust213–9-0.0216%17 Aug →
nuke6–130.0425%14 Aug →
inferno22–200.0123%11 Aug →
nuke13–50.1030%11 Aug →
dust213–11-0.0211%11 Aug →
nuke8–13-0.0814%11 Aug →
dust213–50.0111%4 Aug →
dust27–13-0.0119%4 Aug →
nuke13–00.0929%4 Aug →
inferno6–13-0.0414%13 Jul →
dust213–70.0225%13 Jul →
inferno13–80.0312%13 Jul →
ancient13–100.1023%13 Jul →
dust216–120.0419%12 Jul →
nuke13–9-0.0223%12 Jul →
ancient13–90.0519%11 Jul →
inferno9–13-0.0821%22 Jun →
overpass13–4-0.0319%22 Jun →
inferno13–4-0.0315%22 Jun →
nuke11–130.0216%18 Jun →
inferno15–150.0320%18 Jun →
dust213–110.0125%18 Jun →
overpass13–10-0.0023%18 Jun →
inferno13–50.0716%11 Jun →
nuke1–8-0.038%11 Jun →
inferno0–13-0.02100%11 Jun →
dust213–90.0216%9 Jun →
dust213–10-0.0014%9 Jun →
inferno13–110.0450%3 Jun →
inferno9–13-0.0124%3 Jun →
inferno13–60.0324%30 May →
nuke6–13-0.078%23 May →
dust23–7-0.0315%23 May →
ancient13–100.0514%23 May →
dust216–120.0621%22 May →
ancient13–6-0.0024%22 May →
inferno6–130.0521%21 May →
dust28–13-0.0131%21 May →
mirage6–13-0.0622%21 May →
dust211–13-0.0312%20 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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