slab0

slab0 — CS2 Stats

GL76561198108016262[U:1:147750534]Steam profile ↗✓ No bans

1,081Tracked matches63%Win rate2021Tracked since
3,193Hours in CS4Hrs last 2 wks
CSDB Rating7.3 StrongOpening Duellist
CSDB Leaderboard#72892 of 237302 tracked
FaceitLevel 9 · 1,898 ELOTop 20.7% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify
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. 40 days played since 27 Sep 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,292 +3,395 27 Sept18 Jan · 22 days played
16,89721,113peak 21,11327 Sept18 Jan
21,113Peak Premier in tracked matches
1,898Highest Faceit ELO seen on CSDB
40Days played since 2025-09-27

Faceit ELO

  • At peak — 1,898
  • Next: Level 10 at 2,001 103 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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 9 among CSDB-tracked players (n=13,629), 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 9 medianLevel 10 medianvs Level 10
Headshot rate42.3%48.3%51.0%8.7% short
Shot accuracy15.1%13.2%13.7%above
Kill/death ratio1.091.071.09meets
Match win rate44.0%46.9%48.4%4.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGslab0FACEITLevel 9 · 1,898 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,898csdb.gg/stats

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Performance scores

Aim89
Positioning69
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY53461Last 10053%Win rateLWLWWLWLWW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +11.2pp headshot accuracy · −85ms reaction

Win rate down 20pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 477ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 29%
  • Avg reaction 480ms

Last 20

  • 146 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 522ms

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: Opening DuellistWinning opening duels is what stands out in this profile (+2 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.9
Utility4.7
Positioning6.9
Opening Duels7.7
Clutch3.6

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

donk

Plays most like donk 89% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; 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 89 — the mechanical foundation is a clear strength.

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 66% on CT to 51% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9
Positioning6.9
Utility4.7
Mechanics8.3
Opening Duels7.2
Win Impact9.4

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time544ms−5ms
first ⅓ avg 550ms → last ⅓ avg 544ms
Headshot accuracy23.2%+2.7%
first ⅓ avg 20.5% → last ⅓ avg 23.2%

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

0.17Best match rating · 13–1 · ancient, 8 Oct
47%Best headshot accuracy · 7–13 · ancient, 10 Feb
398msFastest reaction time · 13–7 · mirage, 17 Jan
13–1Biggest win · ancient, 17 Jan

Across the last 100 tracked matches.

Highlights

6Longest win streak
88In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 65% over 20dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA25151060%0.03
ancientS2013765%0.04
infernoC1771041%0.02
nukeB137654%0.02
dust2D92722%0.03
overpassA53260%0.05
cache_b42250%0.04
anubis32167%0.03
train21150%0.03
vertigo1010%-0.03
cbble_d110100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,139Lifetime kills
1.09K/D · Top 50% of Level 9 players
3,780Matches
44.0%Match win rate
42.3%Headshot %
15.1%Shot accuracy · Top 50% of Level 9 players
9,702MVPs
1,439Hours (in match)
3,000Bombs planted
914Bombs defused

Most-used weapons

AK-4723,088
AWP10,970
P901,595
FAMAS1,414
Knife1,198

Lifetime map wins

3,727dust2
3,485inferno
3,184vertigo
2,805nuke
826train
549cbble
165lake
106safehouse

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

Faceit stats

Combat

622Matches
52%Win rate
1.11Avg K/D
82.2ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage13445%1.1117.3
Ancient10453%1.0615.8
Inferno6058%1.2117.0
Anubis6053%1.1015.3
Nuke4351%1.1616.9
Dust22924%1.0115.2
Vertigo1560%1.1217.3
Train771%0.9218.4

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.

22.9%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.5%Spray accuracy
87.2%Counter-strafing
7.9°Preaim
533msReaction time
51.2%T opening success
66.3%CT opening success
0.63Enemies flashed / flash
6.4%Flash assists
6.06HE damage / grenade
4.77Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–130.0318%26 Aug
mirage13–100.1021%24 Aug
mirage0–13-0.0730%24 Aug
mirage13–10-0.0113%22 Aug
inferno13–110.0923%21 Aug
mirage10–130.0931%13 Aug
ancient13–80.0843%6 May
ancient7–130.0247%10 Feb
inferno16–130.0840%9 Feb
mirage13–40.0727%9 Feb
mirage13–9-0.0116%5 Feb
ancient13–110.0916%31 Jan
inferno10–130.0222%30 Jan
dust213–90.0731%30 Jan
mirage13–50.0111%30 Jan
nuke13–60.0523%27 Jan
mirage4–130.0518%26 Jan
ancient13–110.0731%26 Jan
mirage13–80.0114%26 Jan
anubis13–110.060%23 Jan
cache_b10–130.130%23 Jan
ancient7–13-0.0417%21 Jan
anubis13–100.0225%21 Jan
dust25–130.0334%18 Jan
mirage8–130.0624%18 Jan
nuke13–50.0121%17 Jan
mirage13–70.0522%17 Jan
nuke13–8-0.0517%17 Jan
inferno5–130.0223%17 Jan
ancient13–10.0330%17 Jan
nuke10–130.0230%15 Jan
nuke11–13-0.0611%14 Jan
dust25–130.0332%14 Jan
ancient13–7-0.0138%13 Jan
ancient3–13-0.0129%5 Jan
mirage4–13-0.0127%3 Jan
ancient15–15-0.0120%3 Jan
mirage13–10.0715%3 Jan
dust210–130.0336%3 Jan
nuke7–130.0423%3 Jan
nuke13–160.0422%3 Jan
inferno1–13-0.0733%3 Jan
nuke13–30.0631%3 Jan
mirage13–40.0835%3 Jan
inferno8–130.0219%2 Jan
train8–130.0039%29 Dec
inferno13–80.0422%21 Dec
mirage3–13-0.0529%21 Dec
overpass12–16-0.049%19 Dec
inferno6–13-0.0020%19 Dec
dust27–20.0328%19 Dec
inferno4–130.0716%18 Dec
cache_b4–13-0.0122%18 Dec
vertigo9–13-0.0335%18 Dec
anubis9–130.0125%18 Dec
cbble_d13–4-0.0332%18 Dec
cache_b13–70.0021%18 Dec
ancient6–13-0.0114%18 Dec
cache_b13–60.0629%18 Dec
inferno11–13-0.0221%17 Dec
ancient13–70.0235%15 Dec
mirage13–70.0914%15 Dec
inferno13–9-0.0335%15 Dec
mirage8–13-0.0528%15 Dec
mirage13–110.0029%15 Dec
inferno10–13-0.087%15 Dec
nuke11–13-0.0219%24 Oct
mirage10–130.0123%16 Oct
ancient13–40.0224%15 Oct
ancient10–130.0822%15 Oct
mirage13–20.0813%15 Oct
inferno10–130.0220%15 Oct
overpass8–130.0614%13 Oct
mirage13–5-0.0218%13 Oct
ancient13–60.0720%13 Oct
nuke13–90.0724%13 Oct
overpass13–70.0318%12 Oct
ancient7–20.1327%12 Oct
dust29–130.0613%10 Oct
nuke14–160.0021%8 Oct
overpass13–100.1325%8 Oct
ancient13–10.1722%8 Oct
train13–40.0513%8 Oct
ancient13–50.0518%6 Oct
nuke13–50.1226%6 Oct
ancient13–110.0416%6 Oct
dust27–13-0.0117%6 Oct
inferno11–130.0418%6 Oct
mirage11–130.0421%6 Oct
ancient13–11-0.0018%30 Sept
overpass13–90.0629%30 Sept
inferno13–70.0219%30 Sept
dust211–130.0533%30 Sept
nuke13–80.0220%28 Sept
mirage13–50.0731%28 Sept
mirage13–90.0928%28 Sept
inferno13–20.0918%28 Sept
ancient12–160.0120%28 Sept
dust211–13-0.0613%27 Sept
inferno16–140.0215%27 Sept

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 →