Santa Monica by Everclear

Santa Monica by Everclear — CS2 Stats

76561199799556895[U:1:1839291167]Steam profile ↗✓ No bans

594Tracked matches76%Win rate2026Tracked since
542Hours in CS35Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating15,777Purple band · top ~25.3% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 15,777 → 15,777
+11Tracked matches · now 594
+15.2ppWin rate · 60.7% → 75.9%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 18 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,777 +2,244 18 Jul17 Sept · 23 days played
13,21115,777peak 15,77718 Jul17 Sept
15,894Peak Premier in tracked matches
35Days played since 2026-07-18

Premier CS Rating

  • At peak — 15,777
  • +1,425 over 30 days · improving
  • Next: Pink band at 20,000 4,223 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=35,214), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.9%44.3%47.0%2.1% short
Shot accuracy0.0%11.8%13.0%13.0% short
Kill/death ratio1.031.031.080.05 short
Match win rate50.9%45.2%46.7%above

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

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

Share this profile

CSDB.GGSanta Monica by EverclearPREMIER15,777 · Purple bandcsdb.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

Aim80
Positioning58
Utility15

0–100 skill scores via Leetify.

Recent form

HOT60364Last 10060%Win rateWWWWWLWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −2.8pp headshot accuracy · +2ms reaction

Win rate up 20pp 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

  • 50 · 100% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 605ms

Last 10

  • 91 · 90% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 567ms

Last 20

  • 1631 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 566ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim8.0
Utility1.5
Positioning5.8
Opening Duels4.6

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 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 575ms 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

Aim8.0
Positioning5.8
Utility1.5
Mechanics7.5
Opening Duels4.8
Win Impact10.0

Composite 6.4/10 (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+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time563ms−104ms
first ⅓ avg 668ms → last ⅓ avg 563ms
Headshot accuracy21.0%+1.0%
first ⅓ avg 20.1% → last ⅓ avg 21.0%

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

0.17Best match rating · 9–3 · eldorado, 17 Sept
75%Best headshot accuracy · 9–3 · dust2, 27 Aug
438msFastest reaction time · 8–8 · inferno, 16 Sept
13–0Biggest win · inferno, 18 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
W5Current streak
62In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 85% over 13anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheS1813572%0.00
infernoB189950%-0.03
ancientS1712571%-0.01
nukeS1311285%0.00
mirageC125742%-0.03
dust2S86275%0.01
anubisD71614%-0.01
office31233%-0.01
eldorado110100%0.17
train110100%0.07
overpass1010%-0.08
vertigo1010%0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,151Lifetime kills
1.03K/D
684Matches
50.9%Match win rate · Top 25% of Purple band
44.9%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
1,371MVPs
246Hours (in match)
284Bombs planted
167Bombs defused

Most-used weapons

Lifetime map wins

1,272nuke
1,178inferno
1,122dust2
41train
37vertigo
36office
12italy

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.

19.3%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.0%Spray accuracy
83.9%Counter-strafing
8.1°Preaim
575msReaction time
50.8%T opening success
47.9%CT opening success
0.32Enemies flashed / flash
0.0%Flash assists
6.88HE damage / grenade
1.34Flashes / 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 0.3178 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–7-0.040%18 Sept
cache13–3-0.060%18 Sept
inferno13–0-0.0250%18 Sept
nuke13–7-0.0115%18 Sept
mirage9–20.0217%18 Sept
cache8–13-0.046%17 Sept
nuke9–70.0724%17 Sept
eldorado9–30.1748%17 Sept
nuke9–30.109%17 Sept
ancient13–10-0.0327%17 Sept
nuke16–13-0.0116%17 Sept
inferno9–6-0.0250%16 Sept
inferno6–9-0.0830%16 Sept
inferno8–8-0.0317%16 Sept
inferno6–9-0.0810%14 Sept
nuke16–130.0020%14 Sept
ancient13–60.0510%14 Sept
cache16–120.0316%13 Sept
inferno13–6-0.0131%10 Sept
nuke13–100.0824%10 Sept
ancient13–8-0.0418%9 Sept
ancient10–130.0824%9 Sept
anubis8–130.0210%8 Sept
nuke13–60.0233%7 Sept
cache13–9-0.0113%7 Sept
ancient13–10-0.0215%7 Sept
inferno7–13-0.0719%7 Sept
mirage7–13-0.1117%6 Sept
nuke16–140.0422%6 Sept
anubis6–13-0.0116%6 Sept
cache16–120.0233%5 Sept
ancient13–6-0.0223%5 Sept
ancient9–130.0530%2 Sept
office13–90.0217%2 Sept
office12–120.0423%2 Sept
cache13–30.0815%2 Sept
cache13–90.0816%2 Sept
cache5–13-0.0229%1 Sept
inferno6–130.0146%1 Sept
ancient5–13-0.028%31 Aug
anubis9–13-0.029%30 Aug
inferno13–8-0.0715%30 Aug
dust215–15-0.0319%29 Aug
mirage13–10-0.0313%29 Aug
ancient11–130.0139%29 Aug
cache13–60.1416%28 Aug
cache13–10.0530%28 Aug
cache4–13-0.0357%28 Aug
dust29–30.0375%27 Aug
train13–50.0721%27 Aug
dust27–13-0.0511%25 Aug
ancient13–80.1115%25 Aug
dust213–50.1415%25 Aug
ancient7–13-0.0524%17 Aug
dust213–70.0021%14 Aug
anubis0–3-0.0220%14 Aug
cache13–6-0.0210%14 Aug
mirage13–4-0.010%13 Aug
ancient13–8-0.0829%13 Aug
cache13–8-0.0319%13 Aug
nuke13–4-0.0711%12 Aug
ancient13–00.0233%12 Aug
anubis10–13-0.0516%12 Aug
inferno8–13-0.0919%12 Aug
dust213–110.019%6 Aug
mirage13–70.0513%6 Aug
nuke6–13-0.0619%5 Aug
overpass4–13-0.0811%5 Aug
inferno4–9-0.0629%2 Aug
vertigo8–80.0819%1 Aug
ancient13–10-0.0616%30 Jul
cache13–60.015%30 Jul
ancient13–11-0.0128%30 Jul
nuke13–2-0.1025%30 Jul
inferno13–1-0.0028%30 Jul
cache10–13-0.0315%28 Jul
mirage13–100.0314%28 Jul
nuke7–13-0.0143%25 Jul
mirage3–13-0.0618%25 Jul
inferno13–40.0724%25 Jul
inferno8–13-0.0230%24 Jul
office11–13-0.0941%24 Jul
inferno4–13-0.0720%23 Jul
mirage12–16-0.0212%23 Jul
anubis4–13-0.0018%23 Jul
inferno13–7-0.0411%23 Jul
mirage8–13-0.058%23 Jul
dust213–4-0.0123%22 Jul
dust213–8-0.0126%22 Jul
mirage4–13-0.0532%22 Jul
cache13–110.0526%22 Jul
ancient13–4-0.0515%22 Jul
nuke13–60.0023%22 Jul
mirage9–13-0.0013%22 Jul
mirage4–13-0.1112%19 Jul
anubis13–110.0221%19 Jul
inferno13–100.0118%19 Jul
inferno13–8-0.0311%19 Jul
cache1–13-0.1230%18 Jul
cache13–0-0.010%18 Jul

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 →