skull

skull — CS2 Stats

76561197970788157[U:1:10522429]Steam profile ↗✓ No bans

677Tracked matches66%Win rate2020Tracked since
CSDB Rating6.8 SolidAll-Rounder
Premier CS Rating24,355Top 25% of 194,975 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)
CSDB Leaderboard#27390 of 242586 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 677 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 50 days played since 21 Sep 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,355 +5,008 21 Sept – 23 Sept · 39 days played
17,54924,875peak 24,87521 Sept23 Sept
25,112Peak Premier in tracked matches
50Days played since 2025-09-21

Premier CS Rating

  • 520 below peak (24,875)
  • 0 over 30 days · steady
  • +1,211 over 90 days
  • Next: Red band at 25,000 — 645 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple 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.

Share this profile

CSDB.GGskullPREMIER24,355 · Pink 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

Aim95
Positioning52
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWLLWWWLWWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −8.5pp headshot accuracy · +83ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 533ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 551ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 509ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim9.5
Utility4.6
Positioning5.2
Opening Duels4.2

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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

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

Aim9.5
Positioning5.2
Utility4.6
Mechanics5.1
Opening Duels3.5
Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time503ms−76ms
first ⅓ avg 579ms → last ⅓ avg 503ms
Headshot accuracy32.3%+5.9%
first ⅓ avg 26.4% → last ⅓ avg 32.3%

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

0.15Best match rating · 13–1 · inferno, 9 Jul →
100%Best headshot accuracy · 0–4 · inferno, 7 Mar →
297msFastest reaction time · 4–13 · inferno, 16 Jul →
13–1Biggest win · ancient, 25 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
3–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 83% over 12mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC2511–1444%-0.01
dust2S2316–770%0.01
anubisS1210–283%-0.02
ancientA116–555%-0.01
mirageD103–730%-0.01
nukeS75–271%-0.01
overpassA74–357%-0.01
cacheA53–260%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

96Matches
55%Win rate
1.53Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

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.

32.6%Headshot accuracy
40.0%Accuracy (enemy spotted)
45.8%Spray accuracy
73.2%Counter-strafing
7.3°Preaim
512msReaction time
39.7%T opening success
48.3%CT opening success
0.52Enemies flashed / flash
3.6%Flash assists
12.22HE damage / grenade
4.23Flashes / 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 39.693% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–6-0.0719%31 Jul →
dust210–13-0.069%31 Jul →
cache4–7-0.0627%29 Jul →
ancient13–8-0.087%29 Jul →
inferno13–5-0.0525%29 Jul →
dust213–80.0439%28 Jul →
ancient8–130.0133%28 Jul →
cache13–40.0420%28 Jul →
anubis13–10-0.0143%28 Jul →
dust25–13-0.0225%26 Jul →
inferno10–13-0.0545%26 Jul →
anubis13–11-0.0028%25 Jul →
ancient13–10.0628%25 Jul →
dust213–90.0232%25 Jul →
nuke16–130.0124%25 Jul →
nuke15–15-0.0238%19 Jul →
inferno4–13-0.0127%16 Jul →
inferno5–13-0.0424%13 Jul →
dust213–3-0.0253%13 Jul →
anubis13–10-0.0133%13 Jul →
mirage13–90.0350%13 Jul →
inferno6–13-0.0640%11 Jul →
ancient3–13-0.0638%11 Jul →
cache13–30.0771%11 Jul →
cache13–40.0447%11 Jul →
dust213–50.0530%9 Jul →
ancient13–50.0237%9 Jul →
inferno13–10.1542%9 Jul →
cache9–13-0.0617%9 Jul →
dust213–60.0637%7 Jul →
mirage13–16-0.0133%5 Jul →
nuke2–13-0.1012%5 Jul →
dust210–13-0.0532%5 Jul →
inferno4–13-0.0726%1 Jul →
overpass7–13-0.0123%1 Jul →
anubis15–15-0.0413%30 Jun →
inferno13–110.0518%27 Jun →
anubis13–110.0229%27 Jun →
mirage6–13-0.0120%26 Jun →
dust213–6-0.0040%26 Jun →
dust213–7-0.0526%24 Jun →
anubis13–6-0.0118%24 Jun →
inferno13–60.0247%24 Jun →
inferno9–13-0.0120%23 Jun →
dust215–150.0348%23 Jun →
inferno11–130.0121%23 Jun →
inferno13–9-0.0422%21 Jun →
anubis13–3-0.0513%21 Jun →
inferno7–13-0.0827%20 Jun →
mirage13–50.1349%20 Jun →
ancient4–13-0.0824%16 Jun →
inferno3–13-0.0819%15 Jun →
dust213–10-0.0619%14 Jun →
nuke13–40.0931%14 Jun →
overpass9–13-0.0924%14 Jun →
nuke13–6-0.0127%14 Jun →
overpass13–8-0.0216%13 Jun →
anubis13–50.0128%13 Jun →
ancient8–13-0.0224%11 Jun →
inferno11–13-0.0527%11 Jun →
anubis13–100.0329%10 Jun →
inferno13–10.0322%10 Jun →
ancient13–30.0928%10 Jun →
inferno0–20.000%24 May →
anubis8–13-0.0528%22 May →
dust211–130.0523%22 May →
mirage11–13-0.0319%20 May →
dust213–20.0727%13 May →
inferno13–80.0433%30 Apr →
inferno13–30.0323%29 Apr →
mirage13–3-0.0124%28 Mar →
ancient13–40.0421%28 Mar →
dust213–40.0723%28 Mar →
dust213–40.0834%21 Mar →
inferno0–4-0.05100%7 Mar →
mirage9–13-0.0121%28 Feb →
inferno8–13-0.0221%12 Feb →
anubis13–5-0.0722%12 Feb →
dust213–80.0631%11 Feb →
anubis16–13-0.0321%10 Feb →
inferno13–30.0620%9 Feb →
dust29–13-0.0224%10 Jan →
inferno13–100.0221%9 Jan →
dust212–16-0.0527%20 Dec →
overpass13–60.0910%20 Dec →
inferno13–30.0726%19 Dec →
dust213–7-0.0518%19 Dec →
ancient9–13-0.0722%19 Dec →
mirage0–13-0.1314%16 Nov →
mirage7–13-0.0529%26 Oct →
ancient13–7-0.0514%26 Oct →
dust213–9-0.0442%26 Oct →
overpass13–5-0.0323%25 Sept →
dust213–40.0921%25 Sept →
mirage7–13-0.0716%24 Sept →
nuke13–90.0634%24 Sept →
dust213–1-0.0144%23 Sept →
overpass16–12-0.0023%23 Sept →
overpass8–13-0.0220%21 Sept →
inferno8–13-0.0621%21 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →