spook_w

spook_w — CS2 Stats

US76561198340837015[U:1:380571287]Steam profile ↗✓ No bans

1,648Tracked matches64%Win rate2024Tracked since
1,422Hours in CS19Hrs last 2 wks
CSDB Rating6.3 SolidClutch Specialist
Premier CS Rating10,924Blue band · top ~50% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (2 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

10,924Peak Premier in tracked matches
700Highest Faceit ELO seen on CSDB
36Days played since 2026-07-21

Faceit ELO

  • At peak — 700
  • Next: Level 3 at 751 — 51 to go
  • Reached: Level 2

Premier CS Rating

  • At peak — 10,924
  • Next: Purple band at 15,000 — 4,076 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate56.4%42.0%44.3%above
Shot accuracy0.2%9.6%11.9%11.7% short
Kill/death ratio0.840.981.030.20 short
Match win rate44.2%43.8%45.2%1.0% short

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

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

Share this profile

CSDB.GGspook_wPREMIER10,924 · Blue bandPEAK ELO700csdb.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

Aim77
Positioning50
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY60–33–7Last 10060%Win rateWWWLLLTLTW

Last 10 vs previous 10: −50pp win rate · +0.04 avg rating · +3.5pp headshot accuracy · −41ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 575ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 558ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 578ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.5 against its own average).

Aim7.7
Utility4.1
Positioning5.0
Opening Duels1.2
Clutch9.4

Excellent counter-strafingLimited utility dependenceReliable in 1v1s

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

Strengths

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

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. 574ms 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

Aim7.7
Positioning5.0
Utility4.1
Mechanics9.8
Opening Duels2.1
Win Impact9.8

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time578ms−45ms
first ⅓ avg 622ms → last ⅓ avg 578ms
Headshot accuracy20.0%−5.8%
first ⅓ avg 25.8% → last ⅓ avg 20.0%

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

0.13Best match rating · 13–6 · shelter, 1 Aug →
50%Best headshot accuracy · 3–0 · dust2, 5 Sept →
406msFastest reaction time · 13–2 · mirage, 15 Sept →
13–0Biggest win · mirage, 29 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
1–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 67% over 12infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B1910–953%-0.01
nukeA1811–761%-0.00
mirageB158–753%-0.02
cacheA138–562%-0.01
officeS128–467%-0.01
infernoC94–544%-0.04
ancientA85–363%0.00
anubis—33–0100%0.01
train—11–0100%-0.02
vertigo—11–0100%0.02
shelter—11–0100%0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,452Lifetime kills
0.84K/D
2,070Matches
44.2%Match win rate · Top 50% of Blue band
56.4%Headshot % · Top 10% of Blue band
0.2%Shot accuracy
2,622MVPs
850Hours (in match)
2,126Bombs planted
413Bombs defused

Most-used weapons

Lifetime map wins

3,173nuke
3,164dust2
1,900inferno
810office
753train
736vertigo
23italy
8ar_baggage

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

Faceit stats

Combat

25Matches
48%Win rate
0.74Avg K/D
61.6ADR
52%Headshot %

Clutches & streaks

67%1v1 clutch win
15%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2862%0.9411.1
Nuke633%0.7211.7
Mirage367%0.8515.0
Ancient333%0.6512.7
Cache250%0.505.5
Anubis10%0.587.0
Train10%0.356.0
Inferno1100%0.253.0

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.

20.4%Headshot accuracy
30.3%Accuracy (enemy spotted)
29.3%Spray accuracy
93.9%Counter-strafing
7.9°Preaim
574msReaction time
39.3%T opening success
37.5%CT opening success
0.53Enemies flashed / flash
2.8%Flash assists
7.74HE damage / grenade
3.87Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8714 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 39.3401% — below the 40% mark we flag

Spend your practice time on Inferno

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 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–70.0621%14 Oct →
ancient13–40.027%14 Oct →
anubis13–90.0411%14 Oct →
dust25–13-0.0433%14 Oct →
cache0–13-0.0112%14 Oct →
cache2–70.0624%14 Oct →
dust215–150.0019%14 Oct →
inferno10–13-0.0219%12 Oct →
office12–12-0.0137%12 Oct →
anubis13–10-0.0121%12 Oct →
dust213–70.0325%12 Oct →
nuke13–70.0823%7 Oct →
dust213–10-0.0424%7 Oct →
dust213–80.0112%7 Oct →
ancient13–50.0226%6 Oct →
cache13–10-0.0811%4 Oct →
inferno4–9-0.1811%4 Oct →
inferno9–4-0.116%4 Oct →
mirage13–4-0.0220%3 Oct →
nuke13–7-0.0414%3 Oct →
cache13–10-0.0111%3 Oct →
inferno11–13-0.056%3 Oct →
ancient13–60.0124%3 Oct →
office13–20.0529%3 Oct →
dust213–60.0819%30 Sept →
inferno13–30.0624%28 Sept →
nuke13–3-0.0121%28 Sept →
mirage6–130.0330%28 Sept →
office4–13-0.1240%28 Sept →
dust25–130.0119%25 Sept →
nuke8–130.0225%25 Sept →
ancient10–13-0.0416%25 Sept →
anubis13–90.0121%24 Sept →
cache9–13-0.0329%24 Sept →
nuke13–6-0.0522%23 Sept →
ancient7–13-0.0717%23 Sept →
nuke13–3-0.0130%20 Sept →
nuke8–13-0.0933%20 Sept →
inferno8–13-0.0118%20 Sept →
mirage13–7-0.0419%20 Sept →
dust213–5-0.027%19 Sept →
cache2–13-0.0326%19 Sept →
mirage11–13-0.0727%19 Sept →
ancient13–20.0614%18 Sept →
mirage13–20.0126%15 Sept →
office13–8-0.0838%14 Sept →
train13–6-0.0225%14 Sept →
cache13–80.0436%11 Sept →
dust213–50.0525%11 Sept →
dust211–13-0.0136%9 Sept →
dust212–12-0.0530%5 Sept →
dust23–0-0.0850%5 Sept →
inferno10–13-0.0319%2 Sept →
ancient12–120.0227%2 Sept →
dust29–13-0.0038%2 Sept →
cache13–7-0.0431%1 Sept →
mirage12–12-0.0721%31 Aug →
dust213–11-0.0132%31 Aug →
office7–13-0.0819%31 Aug →
cache5–130.0223%29 Aug →
nuke11–13-0.0221%29 Aug →
nuke8–13-0.0821%26 Aug →
mirage13–10-0.0228%26 Aug →
vertigo13–70.0212%26 Aug →
mirage8–13-0.057%26 Aug →
dust210–13-0.0028%20 Aug →
mirage8–13-0.0819%20 Aug →
mirage4–13-0.0515%14 Aug →
nuke13–20.1026%14 Aug →
nuke9–13-0.0320%12 Aug →
cache13–10-0.0220%12 Aug →
office12–120.0444%11 Aug →
mirage13–100.0740%11 Aug →
dust210–13-0.0517%11 Aug →
dust213–90.0734%6 Aug →
inferno13–90.0121%6 Aug →
nuke13–6-0.0123%2 Aug →
nuke14–16-0.0727%2 Aug →
mirage13–7-0.0314%2 Aug →
office13–30.0131%2 Aug →
office13–3-0.0450%2 Aug →
mirage3–40.0627%1 Aug →
inferno13–9-0.0320%1 Aug →
nuke4–00.0325%1 Aug →
shelter13–60.1321%1 Aug →
mirage13–50.0226%30 Jul →
office13–40.0543%30 Jul →
dust212–12-0.0434%30 Jul →
cache13–10-0.0417%29 Jul →
mirage13–00.003%29 Jul →
nuke13–40.0424%29 Jul →
nuke13–30.0732%27 Jul →
office13–6-0.0135%27 Jul →
cache13–80.0630%27 Jul →
office13–7-0.0015%24 Jul →
cache13–60.0013%24 Jul →
nuke10–13-0.0613%21 Jul →
dust213–10-0.0238%21 Jul →
office13–70.0435%21 Jul →
ancient16–12-0.0116%21 Jul →

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.