WestmarK

WestmarK — CS2 Stats

76561198039499225[U:1:79233497]Steam profile ↗✓ No bans

814Tracked matches60%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 814 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,063 -1,667 21 Oct – 6 Jul · 5 days played
17,63119,730peak 19,73021 Oct6 Jul
19,730Peak Premier in tracked matches
44Days played since 2024-03-20

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

Share this profile

CSDB.GGWestmarKFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning48
Utility69

0–100 skill scores via Leetify.

Recent form

HOT47–47–6Last 10047%Win rateLWWWWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −4.7pp headshot accuracy · +24ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 659ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 654ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

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 (+2.4 against its own average).

Aim5.9
Utility6.9
Positioning4.8
Opening Duels2.6
Clutch3.8

Effective flashesLimited 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

ZywOo

Plays most like ZywOo 78% 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 →

Strengths & areas to improve

Strengths

Flashes. 0.88 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 644ms 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

Aim5.9
Positioning4.8
Utility6.9
Mechanics6.3
Opening Duels2.1
Win Impact8.3

Composite 5.8/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time643ms−24ms
first ⅓ avg 667ms → last ⅓ avg 643ms
Headshot accuracy19.6%−2.3%
first ⅓ avg 21.9% → last ⅓ avg 19.6%

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

0.19Best match rating · 13–1 · dust2, 12 Jan →
50%Best headshot accuracy · 1–9 · nuke, 21 Mar →
375msFastest reaction time · 13–11 · vertigo, 25 May →
13–1Biggest win · dust2, 12 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–1In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 83% over 6ancientWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
nukeA2011–955%-0.01
infernoC187–1139%-0.00
dust2B126–650%0.01
ancientD121–118%-0.03
mirageC94–544%-0.01
anubisB84–450%-0.01
cacheS65–183%0.01
overpassD62–433%0.01
vertigo—44–0100%-0.01
train—31–233%0.00
office—11–0100%0.12
mills—11–0100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,131Matches
51%Win rate
1.11Avg K/D
64.6ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
13%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis2952%0.8313.5
Inferno1953%1.0314.4
Nuke1567%0.9812.9
Mirage1233%0.7512.8
Ancient1136%0.8514.0
Vertigo862%0.8212.9
Dust2520%0.8212.4
Overpass450%0.8310.8

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.

19.6%Headshot accuracy
32.5%Accuracy (enemy spotted)
37.4%Spray accuracy
78.5%Counter-strafing
10.8°Preaim
644msReaction time
38.5%T opening success
38.3%CT opening success
0.88Enemies flashed / flash
9.7%Flash assists
7.72HE damage / grenade
4.75Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.4991% — below the 40% mark we flag

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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0422%11 Jul →
cache13–40.0310%10 Jul →
dust213–11-0.0221%10 Jul →
mirage13–60.0421%10 Jul →
inferno13–90.0113%10 Jul →
cache10–13-0.0012%10 Jul →
mirage13–9-0.0218%10 Jul →
nuke13–11-0.0413%9 Jul →
cache13–100.0114%9 Jul →
cache13–110.0014%9 Jul →
inferno10–13-0.0213%9 Jul →
nuke8–13-0.0317%9 Jul →
cache13–60.0314%9 Jul →
cache13–9-0.0130%6 Jul →
anubis4–00.0229%6 Jul →
mirage9–130.0321%6 Jul →
ancient8–130.0127%6 Jul →
dust24–13-0.0118%6 Jul →
overpass13–11-0.015%5 Jul →
inferno13–5-0.0433%5 Jul →
overpass9–130.0141%15 Mar →
nuke13–80.0539%6 Mar →
inferno13–70.1413%4 Mar →
nuke13–9-0.0215%1 Mar →
inferno3–13-0.0332%1 Mar →
inferno4–13-0.0127%28 Feb →
nuke13–9-0.0025%28 Feb →
inferno8–13-0.1014%25 Feb →
ancient10–13-0.0313%25 Feb →
inferno13–10-0.0020%21 Feb →
mirage6–13-0.0511%20 Feb →
mirage2–13-0.1018%20 Feb →
inferno4–13-0.0417%20 Feb →
overpass5–13-0.0524%20 Feb →
ancient8–13-0.0720%20 Feb →
nuke7–13-0.0517%18 Feb →
nuke6–130.0024%18 Feb →
nuke9–130.0022%18 Feb →
dust20–13-0.0620%18 Feb →
inferno6–13-0.0317%18 Feb →
nuke13–5-0.0114%18 Feb →
dust213–60.0129%18 Feb →
ancient8–13-0.0426%16 Feb →
mirage13–100.029%16 Feb →
anubis4–13-0.0519%16 Feb →
nuke16–140.0513%15 Feb →
ancient10–13-0.0012%14 Feb →
overpass15–150.0420%14 Feb →
inferno13–90.0920%14 Feb →
overpass13–50.0420%14 Feb →
overpass12–120.0115%12 Jan →
inferno12–12-0.0113%12 Jan →
dust213–10.1921%12 Jan →
nuke9–130.0017%9 Jan →
nuke13–70.0625%9 Jan →
inferno13–90.0322%9 Jan →
dust212–120.0129%26 Dec →
inferno8–8-0.1123%15 May →
ancient11–50.0130%20 Apr →
dust24–13-0.106%1 Mar →
train16–130.0237%1 Mar →
nuke9–13-0.0525%1 Mar →
anubis13–4-0.0327%1 Mar →
inferno1–13-0.0613%18 Feb →
dust28–13-0.0423%24 Jan →
vertigo13–90.0726%21 Jan →
dust213–20.0324%21 Jan →
mirage5–00.0633%21 Jan →
nuke13–40.0416%21 Jan →
office13–60.1217%31 Dec →
inferno9–130.0826%31 Dec →
anubis7–13-0.0634%3 Dec →
ancient3–6-0.1414%3 Dec →
train5–13-0.0224%3 Dec →
dust28–130.0517%3 Dec →
dust213–80.0626%3 Dec →
train12–120.0132%20 Nov →
nuke13–100.0316%21 Oct →
nuke7–13-0.0523%29 Jun →
mills13–30.0619%29 Jun →
anubis10–130.0115%29 Jun →
ancient9–13-0.0222%23 Jun →
ancient5–13-0.0128%22 Jun →
ancient10–13-0.0121%22 Jun →
anubis13–6-0.0024%2 Jun →
ancient1–13-0.086%2 Jun →
inferno13–16-0.0324%1 Jun →
vertigo13–11-0.0438%30 May →
ancient10–13-0.0325%27 May →
anubis1–13-0.0113%27 May →
inferno13–80.0325%26 May →
vertigo13–30.028%26 May →
vertigo13–11-0.080%25 May →
dust213–30.0629%1 May →
anubis13–80.0226%29 Apr →
nuke13–100.0019%4 Apr →
mirage9–13-0.039%4 Apr →
nuke13–9-0.0029%4 Apr →
nuke1–9-0.1950%21 Mar →
nuke11–13-0.0416%20 Mar →

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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