spooki

spooki — CS2 Stats

76561198834249954[U:1:873984226]Steam profile ↗✓ No bans

752Tracked matches50%Win rate2025Tracked since
940Hours in CS34Hrs last 2 wks
CSDB Rating3.6 LearningPositional Player
Premier CS Rating8,982Light Blue band · top ~59.8% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+902Premier CS Rating · 8,080 → 8,982

Rating over time

Premier CS Rating: 8,982 -3,492 28 Aug – 23 Oct · 25 days played
8,08012,474peak 12,47428 Aug23 Oct
12,474Peak Premier in tracked matches
20Days played since 2026-08-28

Premier CS Rating

  • 3,492 below peak (12,474)
  • -497 over 30 days · declining
  • Next: Blue band at 10,000 — 1,018 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches111114−3
Win rate49%48%+0pp
K/D0.800.84−0.04
Headshot %43%41%+2pp

Measured 26 Sep 2026 → 23 Oct 2026; previous 28 Aug 2026 → 26 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate37.1%39.9%42.0%4.8% short
Shot accuracy0.1%7.0%9.6%9.5% short
Kill/death ratio0.770.920.980.21 short
Match win rate45.1%42.3%43.8%above

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

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

Share this profile

CSDB.GGspookiPREMIER8,982 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning50
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLWWLWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +1.6pp headshot accuracy · −55ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 589ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 591ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 619ms

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 (+1.9 against its own average).

Aim4.7
Utility1.5
Positioning5.0
Opening Duels2.9

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

donk

Plays most like donk 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.7
Positioning5.0
Utility1.5
Mechanics3.3
Opening Duels4.2
Win Impact5.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time606ms+1ms
first ⅓ avg 605ms → last ⅓ avg 606ms
Headshot accuracy15.8%+1.4%
first ⅓ avg 14.4% → last ⅓ avg 15.8%

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

0.14Best match rating · 13–8 · cache, 23 Oct →
67%Best headshot accuracy · 3–0 · nuke, 4 Oct →
406msFastest reaction time · 3–13 · office, 13 Oct →
13–0Biggest win · cache, 6 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
2–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 59% over 17mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
ancientA1710–759%-0.02
cacheB158–753%0.01
dust2C146–843%-0.03
infernoB147–750%-0.03
mirageD123–925%-0.04
anubisB115–645%-0.02
nukeC94–544%-0.03
train—44–0100%0.02
vertigo—21–150%-0.03
office—21–150%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,635Lifetime kills
0.77K/D
1,576Matches
45.1%Match win rate · Top 50% of Light Blue band
37.1%Headshot %
0.1%Shot accuracy
2,526MVPs
546Hours (in match)
1,265Bombs planted
263Bombs defused

Most-used weapons

Lifetime map wins

1,588nuke
1,496vertigo
1,388inferno
1,045office
824dust2
653train
305italy
4ar_shoots

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.

15.0%Headshot accuracy
34.3%Accuracy (enemy spotted)
38.0%Spray accuracy
64.8%Counter-strafing
11.7°Preaim
599msReaction time
46.5%T opening success
46.7%CT opening success
0.26Enemies flashed / flash
1.0%Flash assists
5.72HE damage / grenade
1.11Flashes / 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 0.2562 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0322%23 Oct →
dust213–50.0623%23 Oct →
nuke13–30.0313%23 Oct →
inferno3–130.0010%23 Oct →
anubis13–80.0120%23 Oct →
cache13–80.1416%23 Oct →
ancient13–20.0420%23 Oct →
cache13–60.0717%22 Oct →
nuke7–13-0.0520%22 Oct →
inferno4–9-0.0212%21 Oct →
mirage5–13-0.090%21 Oct →
ancient6–13-0.0215%21 Oct →
ancient13–40.0420%20 Oct →
ancient13–4-0.0117%20 Oct →
inferno11–130.0315%20 Oct →
cache13–50.0217%20 Oct →
anubis11–13-0.083%20 Oct →
dust213–16-0.0118%20 Oct →
vertigo2–00.0150%20 Oct →
inferno11–13-0.064%15 Oct →
cache4–13-0.0617%15 Oct →
nuke11–13-0.0610%14 Oct →
ancient13–10-0.0317%14 Oct →
nuke13–7-0.0511%13 Oct →
vertigo7–13-0.079%13 Oct →
office3–13-0.0125%13 Oct →
train13–5-0.0119%13 Oct →
train13–110.0111%13 Oct →
mirage7–13-0.0616%13 Oct →
anubis11–13-0.0216%13 Oct →
dust213–10-0.0315%13 Oct →
ancient10–13-0.0311%12 Oct →
cache10–13-0.1012%12 Oct →
cache10–13-0.1018%12 Oct →
anubis13–10-0.095%12 Oct →
cache13–40.0221%12 Oct →
train13–50.0415%12 Oct →
ancient13–8-0.0725%10 Oct →
mirage13–3-0.0621%10 Oct →
inferno13–4-0.087%10 Oct →
dust210–13-0.0611%10 Oct →
inferno10–13-0.046%9 Oct →
ancient13–10-0.005%9 Oct →
mirage13–9-0.0320%8 Oct →
cache9–13-0.0419%8 Oct →
dust213–10-0.017%8 Oct →
inferno13–3-0.0222%8 Oct →
inferno10–13-0.052%8 Oct →
mirage9–13-0.0111%8 Oct →
inferno9–3-0.0719%8 Oct →
dust28–13-0.078%7 Oct →
nuke9–13-0.0511%7 Oct →
cache8–13-0.1115%7 Oct →
ancient13–8-0.0121%7 Oct →
ancient13–90.0014%6 Oct →
anubis8–130.025%6 Oct →
dust25–130.0620%6 Oct →
anubis8–13-0.025%6 Oct →
cache13–00.1312%6 Oct →
inferno13–80.0110%5 Oct →
nuke2–13-0.079%5 Oct →
cache13–40.0316%5 Oct →
mirage13–60.0218%5 Oct →
mirage9–13-0.0812%5 Oct →
inferno13–80.0120%5 Oct →
mirage10–13-0.0212%4 Oct →
cache13–10-0.017%4 Oct →
dust24–13-0.1126%4 Oct →
dust213–4-0.087%4 Oct →
nuke3–00.0667%4 Oct →
anubis13–60.047%4 Oct →
dust24–13-0.0315%4 Oct →
ancient9–13-0.0213%4 Oct →
ancient13–16-0.0616%3 Oct →
ancient10–13-0.0710%3 Oct →
ancient13–100.0012%3 Oct →
mirage7–130.018%3 Oct →
cache10–130.0615%3 Oct →
inferno10–13-0.0619%3 Oct →
anubis16–13-0.048%2 Oct →
ancient16–13-0.0516%2 Oct →
dust216–13-0.074%2 Oct →
cache13–7-0.004%2 Oct →
anubis7–13-0.007%2 Oct →
anubis13–20.0216%2 Oct →
dust25–13-0.058%2 Oct →
inferno13–90.0312%1 Oct →
ancient4–13-0.053%1 Oct →
nuke13–2-0.0310%1 Oct →
office13–5-0.0819%1 Oct →
dust24–13-0.0714%1 Oct →
mirage4–13-0.064%1 Oct →
train13–20.0314%30 Sept →
mirage5–13-0.0733%30 Sept →
nuke10–13-0.0316%30 Sept →
cache11–130.0111%30 Sept →
anubis8–13-0.0117%30 Sept →
inferno13–7-0.0720%30 Sept →
ancient12–16-0.0110%30 Sept →
dust213–8-0.0116%29 Sept →

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 →

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