Spooky

Spooky — CS2 Stats

US76561197975727260[U:1:15461532]Steam profile ↗✓ No bans

149Tracked matches52%Win rate2020Tracked since
1,876Hours in CS
CSDB Rating5.7 SolidSupport
Premier CS Rating17,366Purple band · top ~19% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 149 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,366 +1,353 24 Feb – 4 Sept · 7 days played
16,01317,366peak 17,36624 Feb4 Sept
17,366Peak Premier in tracked matches
22Days played since 2025-02-23

Premier CS Rating

  • At peak — 17,366
  • Next: Pink band at 20,000 — 2,634 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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 Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate41.0%44.8%45.7%4.6% short
Shot accuracy21.5%12.4%12.7%above
Kill/death ratio1.321.031.05above
Match win rate46.8%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpookyFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,366 · 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

Aim60
Positioning51
Utility57

0–100 skill scores via Leetify.

Recent form

HOT51–42–7Last 10051%Win rateLLLWWWWWWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · +19ms reaction

Win rate up 40pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 719ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 750ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 741ms

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 (+1.9 against its own average).

Aim6.0
Utility5.7
Positioning5.1
Opening Duels4.3
Clutch0.0

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

m0NESY

Plays most like m0NESY 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 689ms 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

Aim6.0
Positioning5.1
Utility5.7
Mechanics7.6
Opening Duels2.9
Win Impact5.6

Composite 5.7/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time755ms+73ms
first ⅓ avg 682ms → last ⅓ avg 755ms
Headshot accuracy26.0%+3.8%
first ⅓ avg 22.2% → last ⅓ avg 26.0%

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

0.28Best match rating · 9–6 · whistle, 10 Mar →
47%Best headshot accuracy · 6–13 · dust2, 19 Mar →
430msFastest reaction time · 1–9 · inferno, 10 Mar →
13–0Biggest win · ancient, 3 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
5–9In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 71% over 17ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2S1712–571%0.02
nukeB179–853%0.01
ancientD144–1029%0.00
mirageS139–469%0.01
trainB136–746%0.01
infernoA116–555%-0.01
anubisC104–640%-0.01
whistle—21–150%0.14
overpass—10–10%-0.10
vertigo—10–10%-0.05
palais—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

96,846Lifetime kills
1.32K/D · Top 10% of Level 6 players
4,174Matches
46.8%Match win rate · Top 50% of Level 6 players
41.0%Headshot %
21.5%Shot accuracy · Top 1% of Level 6 players
10,658MVPs
1,876Hours (in match)
2,351Bombs planted
826Bombs defused

Most-used weapons

AK-4724,912
AWP9,041
P904,438
P2503,035
Knife2,247
SSG 082,009

Lifetime map wins

7,082dust2
5,802inferno
2,268nuke
1,283train
764cbble
239aztec
233office
211dust

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

Faceit stats

Combat

230Matches
50%Win rate
1.57Avg K/D
53.8ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

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.

25.9%Headshot accuracy
28.6%Accuracy (enemy spotted)
34.8%Spray accuracy
84.2%Counter-strafing
10.9°Preaim
689msReaction time
34.8%T opening success
48.3%CT opening success
0.66Enemies flashed / flash
8.9%Flash assists
14.71HE damage / grenade
4.08Flashes / 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 34.7812% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0016%15 Apr →
dust211–130.0629%2 Apr →
train11–13-0.0230%2 Apr →
dust211–10.0333%27 Mar →
inferno13–80.0628%22 Mar →
train13–6-0.0122%22 Mar →
dust213–11-0.0428%22 Mar →
dust213–40.1019%21 Mar →
train13–40.0323%21 Mar →
mirage13–4-0.0635%21 Mar →
nuke13–50.0620%21 Mar →
ancient6–13-0.0416%19 Mar →
inferno7–13-0.0220%19 Mar →
nuke13–5-0.0122%19 Mar →
train4–130.0430%19 Mar →
dust26–130.1147%19 Mar →
mirage13–40.0936%18 Mar →
train8–13-0.0129%18 Mar →
nuke11–130.0927%18 Mar →
overpass3–9-0.1025%18 Mar →
nuke5–90.0646%18 Mar →
nuke0–9-0.298%18 Mar →
whistle7–90.0132%10 Mar →
nuke3–9-0.1135%10 Mar →
vertigo4–9-0.0528%10 Mar →
nuke9–40.2029%10 Mar →
palais3–9-0.0225%10 Mar →
inferno1–9-0.168%10 Mar →
whistle9–60.2824%10 Mar →
nuke7–9-0.0117%9 Mar →
inferno12–12-0.0120%8 Mar →
mirage13–100.0025%8 Mar →
ancient13–30.1325%7 Mar →
dust23–13-0.0527%7 Mar →
anubis13–6-0.0313%7 Mar →
nuke5–13-0.0331%7 Mar →
inferno8–130.0017%6 Mar →
anubis6–13-0.0242%6 Mar →
dust213–70.0429%6 Mar →
ancient9–13-0.0123%5 Mar →
nuke13–5-0.0419%5 Mar →
inferno13–3-0.0516%5 Mar →
dust213–10-0.0426%4 Mar →
ancient11–13-0.0811%4 Mar →
ancient13–10-0.0222%4 Mar →
anubis13–100.0732%4 Mar →
dust213–6-0.0511%4 Mar →
dust22–13-0.0820%3 Mar →
mirage7–130.0129%3 Mar →
anubis13–100.0811%3 Mar →
ancient13–00.047%3 Mar →
nuke13–80.0825%3 Mar →
train13–50.0618%3 Mar →
ancient12–120.1015%3 Mar →
dust213–40.1423%3 Mar →
inferno13–110.0119%3 Mar →
ancient11–130.0518%2 Mar →
nuke12–12-0.0225%2 Mar →
mirage13–30.0925%2 Mar →
dust213–00.1121%2 Mar →
train4–130.0329%2 Mar →
dust213–110.0923%2 Mar →
train13–40.0727%2 Mar →
anubis9–13-0.0423%2 Mar →
mirage13–40.0222%2 Mar →
inferno12–120.0119%2 Mar →
ancient13–100.0220%2 Mar →
anubis12–12-0.0523%2 Mar →
train3–13-0.0130%2 Mar →
mirage13–40.0839%2 Mar →
nuke13–90.0535%2 Mar →
anubis12–12-0.0310%2 Mar →
inferno13–11-0.0130%2 Mar →
ancient3–13-0.0517%2 Mar →
nuke13–20.1045%1 Mar →
mirage0–13-0.1113%1 Mar →
ancient12–120.0226%1 Mar →
train13–6-0.0511%1 Mar →
inferno13–110.0330%1 Mar →
dust213–8-0.0124%28 Feb →
train8–130.0627%28 Feb →
anubis9–130.0116%27 Feb →
nuke13–50.0329%27 Feb →
nuke2–13-0.0235%26 Feb →
ancient8–13-0.0430%26 Feb →
nuke13–40.0833%26 Feb →
ancient4–13-0.0219%26 Feb →
train13–8-0.0310%26 Feb →
mirage13–60.0131%26 Feb →
mirage13–9-0.0022%24 Feb →
dust213–6-0.0413%24 Feb →
anubis8–13-0.0810%24 Feb →
train10–13-0.0417%24 Feb →
ancient11–13-0.0414%24 Feb →
dust211–13-0.0025%24 Feb →
dust213–9-0.0127%24 Feb →
inferno13–70.0113%24 Feb →
mirage13–90.0316%24 Feb →
anubis13–5-0.036%23 Feb →
mirage6–13-0.067%23 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 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.