Oljake

Oljake — CS2 Stats

KI76561199011873186[U:1:1051607458]Steam profile ↗✓ No bans

447Tracked matches62%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating20,870Top 50% of 213,542 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)
CSDB Leaderboard#71721 of 260068 tracked
FaceitLevel 5 · 1,086 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,870 +2,254 1 Mar – 20 Oct · 21 days played
16,99820,870peak 20,8701 Mar20 Oct
20,891Peak Premier in tracked matches
1,086Highest Faceit ELO seen on CSDB
31Days played since 2026-03-01

Faceit ELO

  • At peak — 1,086
  • Next: Level 6 at 1,201 — 115 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • At peak — 20,870
  • +801 over 90 days
  • Next: Red band at 25,000 — 4,130 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGOljakeFACEITLevel 5 · 1,086 ELOSTANDINGTop 67.6% of rankedPREMIER20,870 · Pink bandPEAK ELO1,086csdb.gg/stats

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Performance scores

Aim63
Positioning58
Utility65

0–100 skill scores via Leetify.

Recent form

HOT53–46–1Last 10053%Win rateWWWWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −0.8pp headshot accuracy · +1ms reaction

Win rate up 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

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 530ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 537ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 536ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim6.3
Utility6.5
Positioning5.8
Opening Duels2.2
Clutch2.0

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

iM

Plays most like iM 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.3
Positioning5.8
Utility6.5
Mechanics5.7
Opening Duels3.2
Win Impact9.0

Composite 6.2/10 (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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time542ms−81ms
first ⅓ avg 622ms → last ⅓ avg 542ms
Headshot accuracy19.5%−3.7%
first ⅓ avg 23.2% → last ⅓ avg 19.5%

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 · 13–8 · inferno, 15 Oct →
57%Best headshot accuracy · 1–13 · dust2, 29 Jul →
367msFastest reaction time · 4–13 · inferno, 19 Oct →
13–1Biggest win · dust2, 30 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W8Current streak
9–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 63% over 16cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A3620–1656%0.02
infernoA2314–961%0.03
mirageA1610–663%0.00
nukeC83–538%0.01
anubisC73–443%-0.02
cacheD62–433%-0.02
ancient—31–233%0.01
vertigo—10–10%0.11

Across the last 100 tracked matches.

Faceit stats

Combat

189Matches
53%Win rate
1.29Avg K/D
99.5ADR
45%Headshot %

Clutches & streaks

30%1v1 clutch win
36%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage956%1.6320.4
Dust2475%1.2721.3
Vertigo367%1.4418.3
Nuke333%1.3729.3
Inferno2100%1.4517.5
Anubis10%1.2922.0
Overpass1100%3.5021.0

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.

18.9%Headshot accuracy
29.9%Accuracy (enemy spotted)
30.7%Spray accuracy
75.6%Counter-strafing
9.3°Preaim
528msReaction time
46.2%T opening success
39.6%CT opening success
0.52Enemies flashed / flash
5.8%Flash assists
12.72HE damage / grenade
18.83Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.5626% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–60.0420%20 Oct →
dust213–70.0215%20 Oct →
cache13–11-0.0727%19 Oct →
dust213–8-0.017%19 Oct →
dust213–90.0619%19 Oct →
dust213–40.0214%19 Oct →
inferno13–60.0317%19 Oct →
nuke13–110.0416%19 Oct →
inferno4–13-0.059%19 Oct →
dust213–110.0221%19 Oct →
ancient9–13-0.0324%19 Oct →
dust213–80.0418%19 Oct →
cache7–13-0.0624%19 Oct →
cache9–130.0122%19 Oct →
dust213–10-0.0717%16 Oct →
anubis15–15-0.0614%16 Oct →
inferno13–110.0420%16 Oct →
inferno2–9-0.016%16 Oct →
nuke13–40.1524%16 Oct →
ancient13–70.015%15 Oct →
anubis13–60.0424%15 Oct →
inferno13–80.1730%15 Oct →
vertigo10–130.1123%15 Oct →
mirage5–13-0.0514%15 Oct →
dust213–60.0921%15 Oct →
dust27–130.0320%15 Oct →
inferno8–130.0425%15 Oct →
cache7–13-0.0515%11 Oct →
mirage2–6-0.0421%30 Sept →
dust213–30.1728%30 Sept →
dust23–7-0.1030%18 Sept →
dust213–100.0624%8 Aug →
anubis16–14-0.0429%8 Aug →
nuke13–60.0124%8 Aug →
inferno10–13-0.0022%8 Aug →
inferno13–100.0443%8 Aug →
nuke11–13-0.0431%7 Aug →
mirage13–11-0.0136%7 Aug →
inferno13–50.0722%7 Aug →
inferno13–90.0316%7 Aug →
mirage13–7-0.0626%6 Aug →
dust214–16-0.0924%6 Aug →
inferno5–130.0125%5 Aug →
dust210–13-0.0020%5 Aug →
dust213–20.1225%5 Aug →
dust24–50.0032%5 Aug →
mirage13–30.0120%5 Aug →
dust213–100.0514%5 Aug →
inferno0–130.000%3 Aug →
nuke11–13-0.0118%2 Aug →
inferno11–13-0.0713%2 Aug →
inferno6–13-0.0418%2 Aug →
dust22–70.0833%2 Aug →
anubis10–130.0118%2 Aug →
mirage8–130.0128%31 Jul →
inferno13–80.0518%31 Jul →
nuke5–13-0.0116%30 Jul →
mirage13–50.0643%30 Jul →
dust213–10.1525%30 Jul →
dust21–13-0.1057%29 Jul →
dust213–16-0.0522%29 Jul →
dust28–130.0428%29 Jul →
mirage13–30.0426%29 Jul →
inferno13–50.0421%29 Jul →
dust210–13-0.0422%29 Jul →
dust213–160.0226%28 Jul →
anubis9–13-0.0018%27 Jul →
anubis9–13-0.0625%27 Jul →
nuke2–13-0.0313%27 Jul →
dust24–130.0522%27 Jul →
inferno16–120.1135%27 Jul →
dust25–13-0.0510%26 Jul →
dust213–20.1628%26 Jul →
inferno13–20.0818%26 Jul →
mirage5–13-0.0719%26 Jul →
dust213–11-0.0323%26 Jul →
inferno13–100.0527%26 Jul →
inferno13–50.0633%25 Jul →
cache4–130.0225%25 Jul →
anubis13–7-0.0029%23 Jul →
mirage13–6-0.0716%18 Jul →
cache13–80.0230%18 Jul →
nuke1–5-0.0427%3 May →
mirage13–50.0622%29 Mar →
dust211–130.0237%26 Mar →
dust22–130.0434%26 Mar →
inferno4–13-0.0526%26 Mar →
inferno13–110.0219%22 Mar →
ancient8–130.0324%22 Mar →
mirage13–60.0412%22 Mar →
dust213–5-0.0311%22 Mar →
dust27–13-0.0427%20 Mar →
mirage14–160.0317%18 Mar →
dust213–11-0.0321%18 Mar →
inferno13–9-0.0323%18 Mar →
mirage13–90.0631%17 Mar →
dust213–80.0819%3 Mar →
dust213–90.0118%3 Mar →
mirage11–13-0.0018%1 Mar →
mirage13–20.0727%1 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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