Skull

Skull — CS2 Stats

GB76561198352923800[U:1:392658072]Steam profile ↗✓ No bans

1,279Tracked matches57%Win rate2020Tracked since
1,631Hours in CS32Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating18,662Top 50% of 211,308 CSDB-tracked playersPurple band · top ~13.8% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). 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: 18,662 -2,530 28 Apr – 27 Oct · 22 days played
16,55025,940peak 25,94028 Apr27 Oct
26,466Peak Premier in tracked matches
35Days played since 2026-04-28

Premier CS Rating

  • 7,278 below peak (25,940)
  • Next: Pink band at 20,000 — 1,338 to go
  • Reached: Red band · Pink band · Purple band · 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 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 rate40.7%44.8%45.7%5.0% short
Shot accuracy15.2%12.4%12.7%above
Kill/death ratio0.961.031.050.09 short
Match win rate46.6%45.2%45.7%above

This profile matches the typical Level 7 player on 2 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.GGSkullFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,662 · 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

Aim80
Positioning52
Utility30

0–100 skill scores via Leetify.

Recent form

HOT61–39Last 10061%Win rateLWWWLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +0.4pp headshot accuracy · +46ms 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 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 494ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 530ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 507ms

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 (+2 against its own average).

Aim8.0
Utility3.0
Positioning5.2
Opening Duels2.0
Clutch2.6

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

ropz

Plays most like ropz 91% 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

Areas to improve

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

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

Aim8.0
Positioning5.2
Utility3.0
Mechanics7.6
Opening Duels4.2
Win Impact7.2

Composite 6.2/10 (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 rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time540ms−26ms
first ⅓ avg 567ms → last ⅓ avg 540ms
Headshot accuracy17.9%+2.3%
first ⅓ avg 15.6% → last ⅓ avg 17.9%

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 · inferno, 24 Oct →
35%Best headshot accuracy · 9–13 · cache, 5 Oct →
391msFastest reaction time · 1–13 · inferno, 2 May →
13–2Biggest win · inferno, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 90% over 10ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2414–1058%0.00
mirageS2014–670%-0.00
dust2B157–847%-0.03
nukeA127–558%-0.00
ancientD113–827%-0.02
cacheS109–190%-0.01
anubis—43–175%0.00
overpass—44–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,406Lifetime kills
0.96K/D
2,537Matches
46.6%Match win rate · Top 50% of Level 6 players
40.7%Headshot %
15.2%Shot accuracy · Top 50% of Level 6 players
4,551MVPs
913Hours (in match)
2,826Bombs planted
579Bombs defused

Most-used weapons

AK-4712,686
AWP3,728
FAMAS1,537
UMP-451,123
P901,043

Lifetime map wins

5,393inferno
4,303dust2
1,621nuke
783vertigo
492train
104office
79cbble
59lake

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

Faceit stats

Combat

54Matches
57%Win rate
1.03Avg K/D
72.1ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno757%1.0615.0
Ancient3100%1.2617.0
Anubis333%0.9814.0
Nuke3100%0.9015.7
Mirage250%1.0112.0
Dust220%0.7812.0
Train10%1.0715.0

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.

18.0%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.5%Spray accuracy
84.2%Counter-strafing
9.2°Preaim
547msReaction time
50.2%T opening success
43.3%CT opening success
0.44Enemies flashed / flash
2.0%Flash assists
10.84HE damage / grenade
1.41Flashes / 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 0.4422 — below the 0.5 mark we flag

    Grenade Lineups →
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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0129%27 Oct →
dust213–60.049%26 Oct →
mirage13–40.0910%26 Oct →
inferno12–90.0831%25 Oct →
ancient10–130.018%25 Oct →
inferno13–2-0.0115%24 Oct →
cache13–100.0418%24 Oct →
dust26–13-0.0322%24 Oct →
nuke6–1-0.0019%24 Oct →
inferno13–60.1414%24 Oct →
ancient13–100.0328%23 Oct →
dust25–13-0.0419%23 Oct →
cache13–110.0610%23 Oct →
mirage13–7-0.0024%22 Oct →
dust20–2-0.030%22 Oct →
dust213–7-0.0120%22 Oct →
inferno11–130.0119%22 Oct →
inferno3–130.039%22 Oct →
cache13–3-0.0324%21 Oct →
ancient11–13-0.0316%21 Oct →
mirage13–8-0.0315%21 Oct →
mirage13–10-0.069%20 Oct →
anubis13–70.0135%19 Oct →
ancient8–13-0.0114%19 Oct →
cache16–13-0.0116%19 Oct →
inferno4–13-0.0925%19 Oct →
dust211–13-0.0818%18 Oct →
inferno3–130.0223%18 Oct →
mirage4–13-0.0911%18 Oct →
dust213–5-0.0417%18 Oct →
mirage13–80.0227%18 Oct →
ancient13–2-0.0220%18 Oct →
mirage13–2-0.0217%17 Oct →
cache13–70.0023%17 Oct →
nuke0–13-0.0716%17 Oct →
dust213–8-0.0419%17 Oct →
ancient7–13-0.0312%17 Oct →
anubis16–130.0317%16 Oct →
cache13–10-0.060%15 Oct →
nuke7–13-0.0429%15 Oct →
inferno13–9-0.0522%14 Oct →
mirage13–30.0626%14 Oct →
dust28–13-0.0325%12 Oct →
mirage16–12-0.0118%12 Oct →
inferno4–130.0921%11 Oct →
nuke6–130.0219%11 Oct →
inferno11–13-0.0423%6 Oct →
cache9–13-0.0235%5 Oct →
mirage13–30.0724%5 Oct →
nuke3–13-0.0610%3 Oct →
mirage13–80.0010%3 Oct →
dust27–13-0.0511%3 Oct →
cache13–110.0124%1 Oct →
dust212–16-0.0121%27 Sept →
mirage13–90.0217%27 Sept →
mirage11–13-0.0328%26 Sept →
nuke13–100.0417%21 Sept →
mirage11–13-0.0025%20 Sept →
mirage8–13-0.0722%9 May →
inferno7–13-0.0431%9 May →
inferno13–10-0.046%9 May →
nuke13–110.0210%9 May →
ancient8–13-0.0223%9 May →
nuke13–50.1121%8 May →
nuke13–7-0.0120%7 May →
inferno13–80.008%7 May →
inferno13–11-0.0126%7 May →
dust24–13-0.0421%7 May →
ancient7–13-0.0921%7 May →
inferno13–110.037%6 May →
anubis13–6-0.016%4 May →
inferno13–7-0.0519%4 May →
ancient7–13-0.0410%4 May →
ancient16–12-0.059%4 May →
dust213–3-0.0424%4 May →
cache13–8-0.036%3 May →
overpass13–9-0.0232%3 May →
mirage13–10-0.0327%3 May →
inferno6–130.0415%3 May →
nuke13–6-0.0229%3 May →
overpass13–30.058%3 May →
inferno8–13-0.008%3 May →
overpass13–4-0.0115%3 May →
mirage9–1-0.0325%2 May →
dust216–120.0316%2 May →
inferno1–13-0.075%2 May →
inferno13–8-0.0415%2 May →
inferno13–11-0.0214%1 May →
nuke6–13-0.107%1 May →
overpass13–30.0231%1 May →
cache13–3-0.0512%1 May →
dust213–11-0.049%1 May →
mirage9–130.0115%1 May →
inferno13–110.0118%30 Apr →
inferno13–5-0.0311%29 Apr →
mirage13–80.027%29 Apr →
nuke13–110.0720%29 Apr →
ancient7–13-0.0213%29 Apr →
anubis5–13-0.0218%28 Apr →
inferno13–70.0520%28 Apr →

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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