olekmeister

olekmeister — CS2 Stats

76561199557370943[U:1:1597105215]Steam profile ↗✓ No bans

996Tracked matches45%Win rate2023Tracked since
CSDB Rating6.5 SolidPositional Player
FaceitLevel 8 · 1,888 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,497 -1,204 18 Nov – 24 Jun · 38 days played
18,27620,900peak 20,90018 Nov24 Jun
20,900Peak Premier in tracked matches
1,888Highest Faceit ELO seen on CSDB
71Days played since 2025-11-18

Faceit ELO

  • At peak — 1,888
  • Next: Level 10 at 2,001 — 113 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.

Share this profile

CSDB.GGolekmeisterFACEITLevel 8 · 1,888 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,888csdb.gg/stats

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Performance scores

Aim88
Positioning67
Utility42

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLWLWLLWTLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +1.4pp headshot accuracy · +11ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 544ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 560ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 555ms

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 (+1.5 against its own average).

Aim8.8
Utility4.2
Positioning6.7
Opening Duels5.9
Clutch3.8

Sharp aimerStrong CT-side opener

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 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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 88 — the mechanical foundation is a clear strength.

CT openings. 63% 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.

Reaction time. 561ms 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

Aim8.8
Positioning6.7
Utility4.2
Mechanics8.1
Opening Duels6.6
Win Impact3.3

Composite 6.5/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time575ms−19ms
first ⅓ avg 594ms → last ⅓ avg 575ms
Headshot accuracy22.1%−0.6%
first ⅓ avg 22.7% → last ⅓ avg 22.1%

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

0.12Best match rating · 13–3 · mirage, 23 Oct →
42%Best headshot accuracy · 10–13 · dust2, 25 Feb →
398msFastest reaction time · 13–11 · nuke, 15 May →
13–1Biggest win · overpass, 21 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 58% over 19infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%0.02
nukeA1911–858%0.01
ancientB189–950%0.02
dust2C188–1044%-0.00
anubisB63–350%0.02
infernoC52–340%-0.00
cache—31–233%-0.03
train—21–150%0.03
overpass—21–150%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

481Matches
52%Win rate
1.29Avg K/D
84.1ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage21256%1.3817.7
Ancient6546%1.1917.1
Dust25944%1.1218.3
Nuke5562%1.4717.9
Inferno5443%1.2217.0
Anubis1436%0.9013.4
Vertigo1354%1.2116.9
Train540%1.2717.2

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.

23.0%Headshot accuracy
38.1%Accuracy (enemy spotted)
40.3%Spray accuracy
86.4%Counter-strafing
8.8°Preaim
561msReaction time
49.9%T opening success
63.2%CT opening success
0.42Enemies flashed / flash
7.1%Flash assists
8.59HE damage / grenade
5.45Flashes / 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 0.4174 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0022%30 Oct →
inferno13–60.0524%29 Oct →
cache2–13-0.0535%29 Oct →
mirage13–30.1219%23 Oct →
nuke11–13-0.0524%22 Oct →
cache8–13-0.0220%21 Oct →
mirage13–70.0117%18 Oct →
mirage12–120.0025%17 Oct →
inferno10–130.0123%16 Oct →
dust29–13-0.0821%14 Oct →
nuke13–60.0418%12 Oct →
dust213–40.0422%12 Oct →
ancient10–13-0.0120%10 Oct →
nuke13–8-0.0329%9 Oct →
cache13–3-0.0118%26 Aug →
mirage13–80.0317%16 Aug →
mirage13–110.0725%6 Aug →
mirage8–13-0.0418%24 Jun →
nuke14–160.0523%13 Jun →
mirage13–60.0425%11 Jun →
dust210–13-0.0521%17 May →
mirage10–130.0724%16 May →
nuke13–11-0.0020%15 May →
ancient4–13-0.0233%15 May →
mirage9–130.0824%14 May →
mirage13–40.0316%13 May →
dust211–130.0229%13 May →
dust213–11-0.0128%11 May →
inferno1–6-0.0227%11 May →
nuke9–130.0624%8 May →
ancient4–13-0.0514%3 May →
dust210–130.0212%3 May →
nuke13–10-0.0112%20 Apr →
mirage2–13-0.0827%8 Apr →
nuke13–20.0314%8 Apr →
dust213–11-0.0121%7 Apr →
ancient6–130.0525%6 Apr →
anubis8–13-0.0417%6 Apr →
ancient13–50.0511%4 Apr →
mirage8–130.0221%4 Apr →
dust211–13-0.0217%3 Apr →
mirage10–130.0314%2 Apr →
nuke13–90.0420%2 Apr →
anubis2–130.0524%27 Mar →
nuke13–6-0.0229%26 Mar →
dust213–110.0023%20 Mar →
anubis13–7-0.0420%19 Mar →
ancient13–9-0.0214%19 Mar →
dust210–13-0.0142%25 Feb →
anubis11–130.0224%24 Feb →
ancient10–13-0.0018%24 Feb →
dust213–60.0241%24 Feb →
dust213–60.0225%18 Feb →
nuke7–130.1016%17 Feb →
dust213–60.0334%17 Feb →
anubis13–60.0424%7 Feb →
anubis13–110.0821%6 Feb →
mirage16–130.0126%5 Feb →
nuke3–13-0.0821%16 Jan →
inferno13–11-0.0417%4 Jan →
nuke9–130.0223%4 Jan →
ancient9–130.0012%4 Jan →
nuke15–15-0.0714%30 Dec →
mirage11–130.0114%29 Dec →
mirage8–13-0.0117%29 Dec →
nuke13–50.0225%25 Dec →
mirage3–13-0.1023%25 Dec →
nuke13–90.048%25 Dec →
nuke13–80.0620%23 Dec →
ancient13–90.0126%23 Dec →
train13–70.0521%21 Dec →
mirage13–40.0828%20 Dec →
ancient8–130.0715%20 Dec →
dust28–13-0.0222%18 Dec →
mirage5–13-0.0428%18 Dec →
mirage11–130.0230%10 Dec →
dust211–130.0221%9 Dec →
train9–130.0135%8 Dec →
mirage6–13-0.0428%8 Dec →
mirage13–80.0025%7 Dec →
ancient5–13-0.0015%6 Dec →
dust20–13-0.0633%6 Dec →
ancient13–60.1031%4 Dec →
mirage8–130.0320%4 Dec →
dust213–160.0216%3 Dec →
ancient13–100.0119%3 Dec →
mirage13–80.0322%2 Dec →
inferno8–130.0023%29 Nov →
ancient13–60.0726%28 Nov →
nuke13–5-0.0233%28 Nov →
ancient13–80.0612%27 Nov →
mirage5–130.0229%27 Nov →
nuke15–15-0.0116%25 Nov →
mirage8–130.0419%24 Nov →
ancient16–120.0612%23 Nov →
dust213–70.0133%22 Nov →
overpass13–10.0130%21 Nov →
overpass1–7-0.027%21 Nov →
ancient13–110.0223%20 Nov →
mirage13–50.0124%18 Nov →

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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