Spookz

Spookz — CS2 Stats

AU76561198067268576[U:1:107002848]Steam profile ↗✓ No bans

1,226Tracked matches41%Win rate2021Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating13,545Blue band · top ~36.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (10 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: 13,545 +172 22 Sept – 21 Oct · 6 days played
12,48413,545peak 13,54522 Sept21 Oct
13,757Peak Premier in tracked matches
27Days played since 2026-09-22

Premier CS Rating

  • At peak — 13,545
  • +172 over 30 days · steady
  • Next: Purple band at 15,000 — 1,455 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

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

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CSDB.GGSpookzPREMIER13,545 · Blue bandcsdb.gg/stats

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Performance scores

Aim85
Positioning65
Utility44

0–100 skill scores via Leetify.

Recent form

COLD41–52–7Last 10041%Win rateLLWWWLTLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +7.0pp headshot accuracy · −31ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 28%
  • Avg reaction 594ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 581ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 596ms

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 (+1.1 against its own average).

Aim8.5
Utility4.4
Positioning6.5
Opening Duels5.2

Sharp aimerLimited 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

donk

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 75% on T to 53% on CT — first contacts on the defending side are being lost.

Reaction time. 585ms 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

Aim8.5
Positioning6.5
Utility4.4
Mechanics7.9
Opening Duels7.9
Win Impact2.1

Composite 6.4/10 (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 rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time584ms+1ms
first ⅓ avg 583ms → last ⅓ avg 584ms
Headshot accuracy20.0%+3.6%
first ⅓ avg 16.3% → 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

0.20Best match rating · 13–3 · inferno, 14 Oct →
48%Best headshot accuracy · 10–3 · inferno, 28 Oct →
422msFastest reaction time · 0–13 · italy, 12 Oct →
13–1Biggest win · mirage, 19 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–10In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 63% over 8officeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC176–1135%0.05
dust2C114–736%0.03
ancientA116–555%0.02
mirageB115–645%0.02
nukeC94–544%0.05
officeD82–625%0.04
anubisA85–363%0.03
cacheC73–443%0.02
vertigoD62–433%0.05
trainD62–433%0.03
overpass—31–233%0.01
italy—20–20%-0.00
shelter—11–0100%0.12

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.9%Headshot accuracy
40.2%Accuracy (enemy spotted)
42.0%Spray accuracy
85.4%Counter-strafing
9.5°Preaim
585msReaction time
74.9%T opening success
52.9%CT opening success
0.55Enemies flashed / flash
11.2%Flash assists
8.58HE damage / grenade
3.52Flashes / 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 3.5236 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0514%31 Oct →
overpass8–130.0323%31 Oct →
inferno13–30.0438%30 Oct →
shelter13–40.1218%28 Oct →
inferno10–30.1148%28 Oct →
vertigo11–130.0114%27 Oct →
office12–120.0521%27 Oct →
nuke10–130.0421%26 Oct →
inferno11–130.0026%26 Oct →
inferno4–13-0.0622%25 Oct →
ancient8–13-0.0725%25 Oct →
nuke13–110.0511%25 Oct →
dust27–130.1022%25 Oct →
vertigo8–13-0.0220%24 Oct →
ancient13–11-0.0219%24 Oct →
office13–30.1812%24 Oct →
nuke6–130.0724%24 Oct →
dust213–80.079%23 Oct →
mirage13–90.0720%23 Oct →
train13–11-0.0313%23 Oct →
ancient8–13-0.0223%23 Oct →
mirage13–80.0817%23 Oct →
nuke3–13-0.0212%22 Oct →
ancient13–70.098%21 Oct →
ancient13–90.0819%21 Oct →
train8–130.0331%21 Oct →
inferno10–13-0.0427%21 Oct →
office8–130.1024%20 Oct →
cache5–130.0313%20 Oct →
inferno11–130.1016%20 Oct →
office1–13-0.0625%20 Oct →
anubis13–40.0217%19 Oct →
dust29–13-0.028%19 Oct →
mirage13–10.0716%19 Oct →
inferno6–130.0413%19 Oct →
nuke13–110.0432%19 Oct →
anubis13–50.138%19 Oct →
ancient13–80.018%19 Oct →
office12–120.0415%18 Oct →
vertigo13–90.0612%18 Oct →
nuke12–120.0615%18 Oct →
inferno13–20.047%18 Oct →
ancient9–130.0316%18 Oct →
mirage13–7-0.0311%18 Oct →
inferno13–90.1120%18 Oct →
anubis13–60.0218%17 Oct →
mirage9–130.0019%17 Oct →
nuke13–20.1922%17 Oct →
ancient13–80.0417%17 Oct →
dust27–13-0.0120%17 Oct →
inferno8–130.1115%17 Oct →
cache9–13-0.0010%16 Oct →
italy12–120.0713%15 Oct →
mirage9–130.059%14 Oct →
ancient2–13-0.0526%14 Oct →
office13–80.0615%14 Oct →
mirage1–10-0.059%14 Oct →
nuke2–13-0.0517%14 Oct →
inferno13–30.2029%14 Oct →
inferno8–13-0.0516%13 Oct →
train3–13-0.0226%13 Oct →
train11–130.1019%13 Oct →
cache13–70.0914%13 Oct →
dust213–80.1216%13 Oct →
vertigo7–13-0.0228%13 Oct →
anubis0–8-0.050%12 Oct →
overpass11–13-0.0214%12 Oct →
mirage7–130.0721%12 Oct →
ancient11–130.0416%12 Oct →
italy0–13-0.0729%12 Oct →
vertigo13–40.1422%12 Oct →
anubis13–30.0216%11 Oct →
office9–13-0.0313%11 Oct →
dust23–130.0111%11 Oct →
ancient13–90.0918%10 Oct →
train13–70.037%10 Oct →
cache13–40.0228%10 Oct →
anubis12–120.0412%10 Oct →
dust213–110.0813%10 Oct →
inferno12–120.0722%10 Oct →
mirage8–13-0.0114%8 Oct →
train11–130.0410%8 Oct →
inferno11–130.0117%8 Oct →
anubis11–130.0215%7 Oct →
vertigo8–130.1019%7 Oct →
inferno13–40.1112%7 Oct →
office11–130.0114%6 Oct →
cache8–130.008%5 Oct →
mirage4–130.0019%5 Oct →
inferno2–130.0217%5 Oct →
cache13–3-0.0111%5 Oct →
dust25–13-0.0617%4 Oct →
cache8–13-0.0015%4 Oct →
dust212–120.0418%4 Oct →
anubis13–40.078%4 Oct →
mirage13–60.0114%4 Oct →
overpass13–50.0017%3 Oct →
nuke13–20.0615%3 Oct →
dust213–90.0125%3 Oct →
inferno5–13-0.0426%3 Oct →

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 →

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