Squidward on drugs

Squidward on drugs — CS2 Stats

SI76561198874305083[U:1:914039355]Steam profile ↗✓ No bans

1,669Tracked matches52%Win rate2020Tracked since
1,893Hours in CS
CSDB Rating6.3 SolidPositional Player
Premier CS Rating21,030Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#70367 of 261592 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,030 +2,267 30 Mar – 22 Sept · 28 days played
17,25522,643peak 22,64330 Mar22 Sept
22,655Peak Premier in tracked matches
35Days played since 2026-03-30

Premier CS Rating

  • 1,613 below peak (22,643)
  • +1,802 over 30 days · improving
  • Next: Red band at 25,000 — 3,970 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

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 rate45.3%46.9%49.3%4.0% short
Shot accuracy15.4%13.0%13.4%above
Kill/death ratio1.201.081.12above
Match win rate44.9%46.7%48.5%3.6% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Headshot 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.GGSquidward on drugsPREMIER21,030 · Pink 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

Aim81
Positioning58
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateWLLWWLLLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · +2ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 595ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 584ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 583ms

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 (+0.9 against its own average).

Aim8.1
Utility4.8
Positioning5.8
Opening Duels4.1
Clutch5.0

Strong T-side opener

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 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 558ms 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

Aim8.1
Positioning5.8
Utility4.8
Mechanics6.5
Opening Duels3.8
Win Impact5.6

Composite 6.3/10 (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 time549ms−84ms
first ⅓ avg 633ms → last ⅓ avg 549ms
Headshot accuracy21.8%+0.5%
first ⅓ avg 21.3% → last ⅓ avg 21.8%

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 · 13–3 · dust2, 27 Aug →
50%Best headshot accuracy · 13–8 · mirage, 6 Aug →
391msFastest reaction time · 7–13 · anubis, 27 Aug →
13–2Biggest win · nuke, 17 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 63% over 19anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2212–1055%0.04
cacheA1912–763%0.01
dust2A148–657%0.02
ancientC146–843%0.01
anubisC135–838%-0.03
infernoA85–363%0.03
nukeC83–538%0.02
overpass—21–150%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,833Lifetime kills
1.20K/D · Top 25% of Pink band
4,891Matches
44.9%Match win rate
45.3%Headshot %
15.4%Shot accuracy · Top 50% of Pink band
18,684MVPs
1,893Hours (in match)
5,692Bombs planted
1,334Bombs defused

Most-used weapons

AK-4725,759
AWP22,681
SSG 083,899
FAMAS2,550
MP92,261

Lifetime map wins

3,537inferno
2,019dust2
1,982vertigo
1,296train
842nuke
243lake
124safehouse
52bank

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

Faceit stats

Combat

97Matches
53%Win rate
1.41Avg K/D
85.6ADR
46%Headshot %

Clutches & streaks

45%1v1 clutch win
34%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1856%2.2717.1
Ancient862%1.2417.3
Dust2633%1.0618.0
Anubis6100%2.3215.7
Train560%1.3315.6
Inferno2100%1.1914.5
Nuke10%1.4021.0
Cache1100%1.0015.0

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.

21.7%Headshot accuracy
34.1%Accuracy (enemy spotted)
37.4%Spray accuracy
79.3%Counter-strafing
7.8°Preaim
558msReaction time
52.5%T opening success
38.3%CT opening success
0.62Enemies flashed / flash
2.8%Flash assists
8.87HE damage / grenade
6.07Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.2739% — below the 40% mark we flag

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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0116%22 Sept →
ancient8–130.0518%22 Sept →
mirage14–16-0.0214%9 Sept →
cache13–4-0.0140%9 Sept →
dust216–140.0227%9 Sept →
mirage10–13-0.0525%9 Sept →
dust26–13-0.0321%7 Sept →
ancient11–130.0525%7 Sept →
inferno13–90.0625%2 Sept →
dust29–13-0.064%30 Aug →
anubis11–13-0.0417%30 Aug →
inferno11–130.0625%30 Aug →
cache13–110.0132%30 Aug →
ancient6–13-0.0423%30 Aug →
mirage15–150.0123%30 Aug →
dust213–110.078%30 Aug →
cache13–100.0117%29 Aug →
dust213–60.0929%29 Aug →
anubis2–13-0.0222%29 Aug →
mirage5–13-0.0717%29 Aug →
cache1–13-0.0122%29 Aug →
cache13–70.0135%28 Aug →
mirage13–100.1021%28 Aug →
ancient13–80.0224%28 Aug →
anubis13–100.0323%27 Aug →
ancient5–1-0.140%27 Aug →
ancient13–60.0920%27 Aug →
cache13–8-0.017%27 Aug →
nuke11–130.0426%27 Aug →
anubis7–13-0.0333%27 Aug →
dust213–30.1733%27 Aug →
inferno13–90.0312%26 Aug →
inferno13–80.0433%26 Aug →
nuke13–8-0.016%26 Aug →
dust213–110.1022%26 Aug →
anubis13–6-0.0525%26 Aug →
cache11–13-0.0343%25 Aug →
mirage13–50.1129%25 Aug →
cache13–30.0422%25 Aug →
dust213–11-0.0213%25 Aug →
anubis7–13-0.0122%25 Aug →
ancient14–16-0.0224%20 Aug →
ancient15–150.0412%18 Aug →
mirage4–130.0116%18 Aug →
mirage13–40.1212%18 Aug →
dust22–13-0.0429%17 Aug →
nuke13–60.0425%17 Aug →
mirage7–130.0234%17 Aug →
nuke13–20.0426%17 Aug →
ancient1–13-0.0317%16 Aug →
dust213–30.0423%16 Aug →
anubis11–130.0223%16 Aug →
nuke4–130.0128%14 Aug →
cache3–130.0129%14 Aug →
anubis13–5-0.069%12 Aug →
mirage13–100.1222%12 Aug →
cache13–10-0.0221%10 Aug →
mirage5–13-0.0330%10 Aug →
anubis7–13-0.0830%9 Aug →
anubis16–14-0.0122%6 Aug →
cache15–15-0.0417%6 Aug →
ancient13–80.0215%6 Aug →
cache7–10.0427%6 Aug →
mirage13–80.0450%6 Aug →
ancient10–13-0.0515%2 Aug →
mirage13–90.0122%1 Aug →
inferno13–80.0836%1 Aug →
nuke12–160.0124%1 Aug →
mirage13–70.0111%1 Aug →
ancient13–90.0214%1 Aug →
mirage13–40.1323%1 Aug →
ancient15–150.0432%1 Aug →
anubis4–13-0.0521%1 Aug →
cache13–11-0.0418%25 Jul →
inferno1–13-0.0619%25 Jul →
mirage13–50.0523%25 Jul →
cache10–130.0416%25 Jul →
dust26–13-0.0220%24 Jul →
nuke9–130.0422%24 Jul →
cache13–50.0423%19 Jul →
ancient13–80.0415%19 Jul →
anubis13–11-0.0319%18 Jul →
mirage13–30.1023%18 Jul →
anubis8–13-0.0119%18 Jul →
mirage7–13-0.0710%18 Jul →
cache12–120.0223%9 May →
cache13–5-0.0019%9 May →
cache12–120.0324%9 May →
cache13–80.0822%30 Apr →
mirage13–80.1024%26 Apr →
mirage13–80.019%26 Apr →
mirage10–130.0825%23 Apr →
inferno15–150.0219%23 Apr →
mirage11–130.0844%21 Apr →
nuke7–130.0117%18 Apr →
dust27–130.0227%17 Apr →
overpass5–13-0.0227%6 Apr →
dust24–13-0.0219%6 Apr →
inferno13–90.0325%2 Apr →
overpass13–70.0026%30 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.