Skib

Skib — CS2 Stats

US76561198379988281[U:1:419722553]Steam profile ↗✓ No bans

594Tracked matches45%Win rate2020Tracked since
815Hours in CS
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating23,620Top 25% of 213,399 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#36663 of 260018 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,620 → 23,620
+2Tracked matches · now 594
0.0ppWin rate · 44.8% → 44.8%

Rating over time

Premier CS Rating: 23,620 +1,080 3 Jul – 10 Sept · 14 days played
22,01624,896peak 24,8963 Jul10 Sept
24,999Peak Premier in tracked matches
36Days played since 2026-05-08

Premier CS Rating

  • 1,276 below peak (24,896)
  • -113 over 30 days · steady
  • Next: Red band at 25,000 — 1,380 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate44.5%46.9%49.3%4.7% short
Shot accuracy14.0%13.0%13.4%above
Kill/death ratio0.961.081.120.16 short
Match win rate47.9%46.7%48.5%meets

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

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSkibPREMIER23,620 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning66
Utility57

0–100 skill scores via Leetify.

Recent form

HOT54–39–7Last 10054%Win rateWLWWWLWWWW

Last 10 vs previous 10: +70pp win rate · +0.05 avg rating · +3.4pp headshot accuracy · +45ms reaction

Win rate up 70pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 24%
  • Avg reaction 619ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 595ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 573ms

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.

Aim8.2
Utility5.7
Positioning6.6
Opening Duels5.8

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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Reaction time. 557ms 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

Aim8.2
Positioning6.6
Utility5.7
Mechanics8.1
Opening Duels5.5
Win Impact3.3

Composite 6.9/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time562ms−43ms
first ⅓ avg 606ms → last ⅓ avg 562ms
Headshot accuracy22.8%−2.5%
first ⅓ avg 25.3% → last ⅓ avg 22.8%

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

0.18Best match rating · 12–12 · cache, 15 Jul →
48%Best headshot accuracy · 13–5 · nuke, 20 Aug →
406msFastest reaction time · 5–13 · nuke, 15 Aug →
13–0Biggest win · anubis, 18 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 65% over 23anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2315–865%0.02
nukeB179–853%0.03
cacheC167–944%0.03
dust2A116–555%0.02
infernoA116–555%0.00
ancientA95–456%0.01
anubisD72–529%0.02
train—21–150%0.03
overpass—10–10%0.03
fachwerk—11–0100%-0.00
warden—11–0100%0.01
alpine—11–0100%0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,425Lifetime kills
0.96K/D
1,823Matches
47.9%Match win rate · Top 50% of Pink band
44.5%Headshot %
14.0%Shot accuracy · Top 50% of Pink band
4,098MVPs
815Hours (in match)
3,121Bombs planted
498Bombs defused

Most-used weapons

Lifetime map wins

2,874dust2
2,095inferno
1,813train
1,790nuke
284vertigo
34cbble
31office
31lake

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.

23.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
33.1%Spray accuracy
86.6%Counter-strafing
9.0°Preaim
557msReaction time
48.5%T opening success
55.4%CT opening success
0.67Enemies flashed / flash
6.3%Flash assists
9.96HE damage / grenade
10.12Flashes / match

Recommended for you

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.1021%25 Sept →
mirage3–13-0.0218%25 Sept →
cache13–60.0826%7 Sept →
nuke13–110.1519%1 Sept →
nuke13–110.0837%29 Aug →
cache4–13-0.0335%29 Aug →
mirage13–110.0714%29 Aug →
dust216–140.0424%29 Aug →
inferno13–110.0118%29 Aug →
mirage13–40.0922%29 Aug →
dust213–80.0722%28 Aug →
inferno4–130.0319%26 Aug →
mirage5–13-0.0517%26 Aug →
mirage12–160.0426%25 Aug →
mirage15–150.0120%25 Aug →
cache11–13-0.0122%24 Aug →
anubis8–130.0523%24 Aug →
dust211–130.0518%20 Aug →
inferno3–13-0.0319%20 Aug →
dust27–13-0.0515%20 Aug →
cache11–130.0517%20 Aug →
anubis11–130.0627%20 Aug →
mirage13–90.0734%20 Aug →
nuke13–50.0648%20 Aug →
cache4–13-0.0321%20 Aug →
nuke8–13-0.0133%20 Aug →
ancient3–00.1029%19 Aug →
anubis13–00.0617%18 Aug →
anubis2–13-0.0725%18 Aug →
ancient11–13-0.0816%18 Aug →
inferno6–13-0.0517%18 Aug →
cache13–40.0116%18 Aug →
anubis13–110.0716%18 Aug →
dust27–13-0.0321%18 Aug →
nuke15–150.0524%17 Aug →
inferno13–50.0731%17 Aug →
inferno13–40.1018%17 Aug →
ancient8–130.0225%17 Aug →
mirage16–14-0.0417%17 Aug →
mirage13–8-0.0120%16 Aug →
mirage16–130.0622%16 Aug →
nuke5–130.0211%15 Aug →
inferno13–10-0.0513%11 Aug →
inferno5–13-0.0527%11 Aug →
inferno6–13-0.0640%11 Aug →
nuke13–90.0415%10 Aug →
nuke13–80.0432%10 Aug →
dust213–11-0.0625%10 Aug →
ancient13–80.0225%10 Aug →
anubis7–13-0.0223%10 Aug →
nuke9–13-0.0822%10 Aug →
mirage4–130.0418%9 Aug →
inferno13–4-0.0111%9 Aug →
mirage10–130.0122%9 Aug →
mirage13–7-0.0110%9 Aug →
anubis4–130.0226%9 Aug →
cache15–150.0216%9 Aug →
cache13–50.1230%9 Aug →
cache11–130.0320%8 Aug →
dust21–20.0817%2 Aug →
inferno13–70.0519%2 Aug →
nuke13–40.0019%2 Aug →
nuke6–130.0623%31 Jul →
ancient8–13-0.0127%24 Jul →
overpass7–130.0340%22 Jul →
fachwerk13–6-0.0026%21 Jul →
train0–13-0.0337%21 Jul →
mirage13–40.0224%21 Jul →
cache7–130.0224%20 Jul →
mirage13–9-0.0617%20 Jul →
nuke13–100.1028%16 Jul →
cache12–120.1824%15 Jul →
nuke12–12-0.0514%15 Jul →
mirage13–70.0928%15 Jul →
ancient13–110.0322%3 Jul →
warden13–40.0125%29 Jun →
mirage13–60.0628%29 Jun →
train13–50.0931%29 Jun →
cache13–10-0.0531%18 Jun →
mirage13–90.0334%18 Jun →
alpine13–60.0940%16 Jun →
nuke5–130.0141%16 Jun →
ancient0–13-0.0426%16 Jun →
ancient13–4-0.0328%11 Jun →
dust213–8-0.0231%11 Jun →
mirage11–13-0.0123%11 Jun →
nuke13–70.0224%2 Jun →
mirage13–0-0.0127%2 Jun →
nuke12–12-0.0630%30 May →
ancient5–00.1026%30 May →
cache13–50.0419%30 May →
dust213–30.0215%30 May →
mirage13–30.0226%30 May →
nuke13–40.0232%11 May →
cache13–40.027%11 May →
dust212–12-0.0225%11 May →
mirage13–7-0.0232%11 May →
cache13–40.0610%10 May →
mirage10–11-0.0117%8 May →
cache7–13-0.0422%8 May →

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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