olas

olas — CS2 Stats

76561198141786113[U:1:181520385]Steam profile ↗✓ No bans

2,584Tracked matches53%Win rate2020Tracked since
CSDB Rating6.9 SolidPositional Player
CSDB Leaderboard#50155 of 259896 tracked
FaceitLevel 10 · 2,618 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

22,502Peak Premier in tracked matches
2,618Highest Faceit ELO seen on CSDB
64Days played since 2025-12-08

Faceit ELO

  • At peak — 2,618
  • Next: 3,000 ELO at 3,000 — 382 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGolasFACEITLevel 10 · 2,618 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,618csdb.gg/stats

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Performance scores

Aim82
Positioning66
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWWLWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +5.3pp headshot accuracy · −58ms 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 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 533ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 546ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 575ms

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).

Aim8.2
Utility5.1
Positioning6.6
Opening Duels4.5
Clutch2.8

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 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

Reaction time. 576ms 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
Utility5.1
Mechanics7.3
Opening Duels4.8
Win Impact6.1

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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time592ms−15ms
first ⅓ avg 607ms → last ⅓ avg 592ms
Headshot accuracy22.2%−3.4%
first ⅓ avg 25.6% → last ⅓ avg 22.2%

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

0.15Best match rating · 13–7 · dust2, 23 Jan →
68%Best headshot accuracy · 13–7 · dust2, 23 Jan →
391msFastest reaction time · 13–8 · dust2, 25 Oct →
13–1Biggest win · dust2, 21 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 71% over 31ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageS3122–971%0.01
dust2B2713–1448%0.01
infernoC135–838%-0.02
ancientD92–722%-0.02
nukeC52–340%-0.05
overpassC52–340%0.01
anubis—41–325%-0.02
cache—32–167%-0.02
sanctum—10–10%-0.10
poseidon—11–0100%0.07
train—11–0100%-0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

4,000Matches
53%Win rate
1.08Avg K/D
83.4ADR
51%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage48751%1.0916.5
Dust244156%1.2017.5
Ancient21652%1.0516.1
Inferno17153%1.1716.3
Anubis14350%1.1216.7
Nuke10251%1.0015.3
Train4947%1.0816.8
Overpass3858%1.1117.6

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.

22.7%Headshot accuracy
35.4%Accuracy (enemy spotted)
37.9%Spray accuracy
82.9%Counter-strafing
8.4°Preaim
576msReaction time
46.4%T opening success
52.4%CT opening success
0.57Enemies flashed / flash
8.3%Flash assists
7.63HE damage / grenade
6.82Flashes / match

Recommended for you

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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0341%1 Nov →
dust213–60.0516%29 Oct →
dust213–80.0331%25 Oct →
dust214–16-0.0121%24 Oct →
mirage13–60.0223%20 Oct →
mirage13–9-0.0521%20 Oct →
ancient8–13-0.0317%20 Oct →
cache16–13-0.0330%20 Oct →
cache13–9-0.0032%12 Oct →
dust211–13-0.0426%9 Oct →
nuke10–13-0.0417%7 Oct →
mirage13–11-0.0319%7 Oct →
mirage13–100.0524%7 Oct →
anubis4–13-0.0710%8 Sept →
ancient12–160.0323%5 Sept →
dust211–13-0.0724%1 Sept →
mirage13–8-0.0325%1 Sept →
dust213–40.0324%31 Aug →
mirage3–13-0.0513%31 Aug →
dust210–13-0.0427%30 Aug →
dust213–8-0.0310%30 Aug →
nuke13–10-0.0118%30 Aug →
mirage13–30.0316%27 Aug →
inferno7–13-0.0333%25 Aug →
mirage13–40.0019%22 Jun →
dust213–10.0715%21 Jun →
ancient10–13-0.1014%19 Jun →
ancient9–130.0226%19 Jun →
inferno5–9-0.0428%14 Jun →
inferno8–80.0715%11 Jun →
mirage13–1-0.0118%23 May →
dust210–130.0231%20 May →
dust213–50.0126%20 May →
dust29–130.0336%19 May →
inferno1–9-0.1430%18 May →
inferno9–60.1142%18 May →
dust213–11-0.0321%17 May →
mirage4–130.0147%17 May →
mirage13–110.0729%16 May →
ancient13–10-0.0418%16 May →
anubis5–13-0.0322%16 May →
dust213–8-0.0523%13 May →
mirage4–13-0.0814%13 May →
mirage19–170.0728%11 May →
overpass8–13-0.0119%10 May →
mirage13–80.1321%10 May →
overpass13–110.0143%7 May →
ancient12–16-0.0123%5 May →
nuke3–9-0.1736%2 May →
nuke13–90.0223%1 May →
dust211–130.0420%29 Apr →
mirage4–80.0437%21 Apr →
dust29–13-0.0118%19 Apr →
dust210–130.0320%19 Apr →
overpass13–70.0624%19 Apr →
inferno0–9-0.1133%19 Apr →
dust24–13-0.0135%19 Apr →
inferno3–9-0.1433%18 Apr →
mirage13–100.0318%16 Apr →
dust212–00.0467%16 Apr →
mirage13–90.1014%14 Apr →
inferno8–8-0.1312%14 Apr →
inferno13–9-0.0219%6 Apr →
overpass8–130.0015%2 Apr →
mirage2–13-0.0123%2 Apr →
dust28–130.0225%19 Mar →
mirage11–13-0.0615%12 Mar →
mirage13–40.0421%8 Mar →
mirage3–13-0.0629%7 Mar →
mirage13–60.0513%7 Mar →
mirage13–9-0.0216%18 Feb →
sanctum8–8-0.1035%17 Feb →
poseidon9–50.0736%17 Feb →
dust213–80.0424%17 Feb →
mirage13–100.0619%17 Feb →
mirage10–130.0833%17 Feb →
overpass6–13-0.0122%16 Feb →
nuke8–8-0.0432%6 Feb →
anubis13–70.0617%5 Feb →
dust28–130.0127%3 Feb →
ancient7–13-0.0230%3 Feb →
ancient13–90.0426%2 Feb →
mirage13–9-0.0329%28 Jan →
anubis17–19-0.0213%28 Jan →
mirage10–13-0.0720%26 Jan →
mirage13–70.0027%25 Jan →
dust213–70.1568%23 Jan →
inferno7–130.0619%7 Jan →
train13–9-0.0529%29 Dec →
dust222–200.0628%29 Dec →
mirage13–20.0524%24 Dec →
ancient4–13-0.094%22 Dec →
inferno9–70.1324%22 Dec →
dust29–13-0.0126%22 Dec →
mirage13–80.0319%21 Dec →
dust213–50.0124%21 Dec →
mirage13–9-0.0120%17 Dec →
inferno13–40.0736%11 Dec →
dust213–16-0.0324%8 Dec →
inferno9–1-0.0829%8 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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