spooky puchina

spooky puchina — CS2 Stats

US76561199092966263[U:1:1132700535]Steam profile ↗✓ No bans

344Tracked matches62%Win rate2025Tracked since
415Hours in CS12Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating19,274Top 50% of 204,793 CSDB-tracked playersPurple band · top ~11.4% of ranked players (population est.)
CSDB Leaderboard#92723 of 252098 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (8 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: 19,274 +2,458 5 Aug – 8 Oct · 22 days played
16,52919,274peak 19,2745 Aug8 Oct
19,282Peak Premier in tracked matches
34Days played since 2026-08-05

Premier CS Rating

  • At peak — 19,274
  • +2,161 over 30 days · improving
  • Next: Pink band at 20,000 — 726 to go
  • Reached: 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate45.9%44.3%46.9%1.1% short
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.211.031.08above
Match win rate55.1%45.2%46.7%above

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

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

Share this profile

CSDB.GGspooky puchinaPREMIER19,274 · 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

Aim88
Positioning62
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY59–36–5Last 10059%Win rateLWTLWLLWWL

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · +4.5pp headshot accuracy · +3ms reaction

Win rate down 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 636ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 638ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 636ms

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 (+1.8 against its own average).

Aim8.8
Utility2.9
Positioning6.2
Opening Duels4.0

Sharp aimerExcellent counter-strafingLimited 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 84% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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. 634ms 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

Aim8.8
Positioning6.2
Utility2.9
Mechanics8.4
Opening Duels4.2
Win Impact9.0

Composite 6.9/10 (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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time633ms+27ms
first ⅓ avg 606ms → last ⅓ avg 633ms
Headshot accuracy18.2%+1.3%
first ⅓ avg 16.9% → last ⅓ avg 18.2%

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 · 13–6 · cache, 6 Aug →
36%Best headshot accuracy · 11–4 · dust2, 5 Aug →
406msFastest reaction time · 13–9 · ancient, 11 Aug →
13–0Biggest win · mirage, 30 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 83% over 6cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageS3222–1069%0.02
dust2B209–1145%0.00
cacheD134–931%0.02
infernoA117–464%0.05
nukeB105–550%0.04
ancientS65–183%0.03
anubis—44–0100%0.05
overpass—33–0100%0.03
vertigo—10–10%0.01

Across the last 100 tracked matches.

Lifetime stats

11,077Lifetime kills
1.21K/D · Top 25% of Purple band
613Matches
55.1%Match win rate · Top 5% of Purple band
45.9%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
1,598MVPs
229Hours (in match)
616Bombs planted
160Bombs defused

Most-used weapons

Lifetime map wins

1,319dust2
832nuke
427inferno
268vertigo
106train
47office

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.

18.6%Headshot accuracy
43.7%Accuracy (enemy spotted)
44.3%Spray accuracy
88.0%Counter-strafing
9.0°Preaim
634msReaction time
46.2%T opening success
47.3%CT opening success
0.61Enemies flashed / flash
6.8%Flash assists
3.81HE damage / grenade
4.41Flashes / match

Recommended for you

Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0525%13 Oct →
mirage13–60.1124%13 Oct →
cache12–120.0725%13 Oct →
mirage9–130.0019%12 Oct →
inferno13–70.0324%12 Oct →
nuke10–13-0.0022%12 Oct →
dust25–13-0.0720%12 Oct →
dust213–50.0419%12 Oct →
nuke13–20.0125%8 Oct →
mirage4–130.0512%7 Oct →
ancient13–30.0119%7 Oct →
cache14–16-0.0425%6 Oct →
cache13–40.1213%6 Oct →
mirage13–40.0316%6 Oct →
overpass13–9-0.056%2 Oct →
inferno8–130.0520%2 Oct →
mirage13–100.0427%1 Oct →
nuke13–70.0016%1 Oct →
inferno13–20.1019%1 Oct →
mirage13–8-0.0012%30 Sept →
nuke13–60.0628%30 Sept →
dust210–13-0.0114%30 Sept →
anubis13–110.0117%30 Sept →
mirage13–0-0.0114%30 Sept →
dust23–13-0.047%29 Sept →
nuke9–130.049%29 Sept →
mirage13–20.0810%29 Sept →
dust213–50.0724%25 Sept →
inferno8–130.0118%25 Sept →
dust213–80.0421%25 Sept →
dust213–110.0622%24 Sept →
nuke13–50.0719%24 Sept →
mirage10–13-0.079%24 Sept →
cache7–13-0.0120%24 Sept →
overpass13–80.0522%23 Sept →
inferno13–10-0.0212%23 Sept →
mirage13–50.1221%23 Sept →
dust23–130.0229%23 Sept →
inferno13–80.0520%23 Sept →
mirage13–7-0.0426%22 Sept →
mirage13–60.0716%22 Sept →
ancient13–110.0526%22 Sept →
mirage13–9-0.0510%22 Sept →
anubis13–70.0922%18 Sept →
inferno13–40.0531%18 Sept →
dust213–70.0322%18 Sept →
inferno12–120.0318%16 Sept →
nuke8–130.0718%16 Sept →
anubis13–30.0514%16 Sept →
mirage4–00.0518%16 Sept →
dust213–10-0.0012%16 Sept →
inferno13–100.1323%12 Sept →
mirage16–140.0113%11 Sept →
cache13–16-0.0318%11 Sept →
anubis13–70.0520%10 Sept →
dust25–13-0.0418%3 Sept →
dust29–130.0217%2 Sept →
dust212–12-0.0326%2 Sept →
mirage13–70.0121%2 Sept →
ancient9–13-0.0122%2 Sept →
dust214–160.0025%27 Aug →
mirage10–13-0.0416%27 Aug →
nuke13–10-0.0127%27 Aug →
cache9–13-0.0114%27 Aug →
mirage7–13-0.0414%26 Aug →
mirage10–130.0623%25 Aug →
cache13–160.0113%19 Aug →
ancient13–110.055%19 Aug →
inferno13–20.1027%19 Aug →
cache13–80.0823%18 Aug →
mirage13–8-0.0418%18 Aug →
mirage13–110.0012%18 Aug →
mirage16–13-0.0411%17 Aug →
ancient13–70.029%15 Aug →
nuke15–150.0511%14 Aug →
cache11–13-0.0220%14 Aug →
dust213–50.0118%14 Aug →
mirage13–3-0.0017%14 Aug →
overpass9–50.0915%13 Aug →
dust211–130.0411%13 Aug →
mirage13–50.0812%13 Aug →
mirage13–40.0424%13 Aug →
cache13–80.0411%12 Aug →
ancient13–90.0925%11 Aug →
cache10–13-0.0116%11 Aug →
mirage8–130.0222%11 Aug →
mirage13–30.007%7 Aug →
mirage10–13-0.0118%7 Aug →
cache13–60.1417%6 Aug →
mirage13–00.1233%6 Aug →
mirage4–130.0821%6 Aug →
nuke11–130.0720%6 Aug →
dust24–13-0.089%6 Aug →
dust213–70.0212%6 Aug →
cache10–13-0.0518%5 Aug →
mirage11–130.0114%5 Aug →
dust211–4-0.0236%5 Aug →
vertigo8–130.0113%5 Aug →
mirage13–70.0119%5 Aug →
dust215–15-0.0117%5 Aug →

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 →

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