oknez

oknez — CS2 Stats

NO76561198057884501[U:1:97618773]Steam profile ↗✓ No bans

523Tracked matches69%Win rate2020Tracked since
2,306Hours in CS
CSDB Rating6.9 SolidPositional Player
Premier CS Rating24,579Top 25% of 205,416 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#26167 of 252679 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (42 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: 24,579 +1,654 26 Jun – 5 Sept · 19 days played
21,19724,579peak 24,57926 Jun5 Sept
24,740Peak Premier in tracked matches
39Days played since 2026-06-26

Premier CS Rating

  • At peak — 24,579
  • +957 over 30 days · improving
  • Next: Red band at 25,000 — 421 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 10 median
Headshot rate51.7%50.9%
Shot accuracy19.5%13.7%
Kill/death ratio0.981.09
Match win rate53.9%48.4%

Share this profile

CSDB.GGoknezFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER24,579 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning69
Utility53

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateWWWWWLWWLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · −10ms reaction

Win rate up 30pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 545ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 521ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 526ms

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).

Aim8.1
Utility5.3
Positioning6.9
Opening Duels5.6
Clutch3.8

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

jL

Plays most like jL 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

T-side openings. Opening success drops from 59% on CT to 43% 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

Aim8.1
Positioning6.9
Utility5.3
Mechanics4.5
Opening Duels5.3
Win Impact10.0

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+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time528ms−21ms
first ⅓ avg 549ms → last ⅓ avg 528ms
Headshot accuracy19.5%−2.0%
first ⅓ avg 21.5% → 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

0.27Best match rating · 13–1 · cache, 6 Aug →
52%Best headshot accuracy · 13–1 · nuke, 27 Jun →
367msFastest reaction time · 13–5 · nuke, 31 Aug →
13–0Biggest win · mirage, 5 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
4–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 69% over 13nukeWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%0.02
nukeC208–1240%0.02
cacheA1610–663%0.05
ancientS139–469%0.02
dust2C125–742%0.01
mirageA116–555%0.02
overpass—31–233%0.03
anubis—22–0100%0.02
train—10–10%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,344Lifetime kills
0.98K/D
3,320Matches
53.9%Match win rate · Top 25% of Level 10 players
51.7%Headshot % · Top 50% of Level 10 players
19.5%Shot accuracy · Top 10% of Level 10 players
14,834MVPs
2,306Hours (in match)
2,853Bombs planted
1,038Bombs defused

Most-used weapons

AK-4739,390
AWP18,678
P2502,549
AUG2,140
Tec-91,920

Lifetime map wins

7,129inferno
5,160dust2
3,113nuke
1,146train
764cbble
265office
262vertigo
102aztec

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

Faceit stats

Combat

538Matches
57%Win rate
1.15Avg K/D
90.3ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1292%1.6920.2
Ancient1070%1.3617.1
Mirage1080%1.4016.9
Cache5100%2.4017.0
Nuke475%1.3317.0
Anubis333%1.0716.3
Dust22100%1.6020.5

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.

19.4%Headshot accuracy
39.1%Accuracy (enemy spotted)
45.0%Spray accuracy
70.3%Counter-strafing
9.4°Preaim
527msReaction time
43.4%T opening success
58.6%CT opening success
0.48Enemies flashed / flash
11.2%Flash assists
8.67HE damage / grenade
5.39Flashes / 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 0.4816 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–00.0117%5 Sept →
inferno13–110.0317%31 Aug →
cache13–30.0125%31 Aug →
nuke13–50.0120%31 Aug →
cache13–10.1216%30 Aug →
nuke8–13-0.0513%25 Aug →
ancient13–80.0120%25 Aug →
inferno13–40.0213%25 Aug →
cache11–13-0.0221%24 Aug →
inferno13–100.0437%24 Aug →
anubis13–100.0524%14 Aug →
inferno8–130.0529%14 Aug →
nuke13–160.0618%12 Aug →
cache13–90.0416%11 Aug →
mirage6–13-0.0416%9 Aug →
ancient13–16-0.0417%9 Aug →
nuke13–80.1324%9 Aug →
cache13–00.0628%9 Aug →
nuke7–130.0219%7 Aug →
ancient13–110.0315%7 Aug →
ancient9–130.0126%6 Aug →
cache13–10.2721%6 Aug →
inferno13–50.1216%6 Aug →
mirage13–60.0214%5 Aug →
nuke15–150.0221%5 Aug →
dust29–13-0.0327%4 Aug →
nuke13–30.0315%4 Aug →
ancient13–100.0713%3 Aug →
anubis13–8-0.0110%3 Aug →
ancient13–100.0217%2 Aug →
nuke4–13-0.0122%2 Aug →
ancient13–50.0817%1 Aug →
inferno14–16-0.0022%31 Jul →
overpass10–130.0217%31 Jul →
mirage4–13-0.0421%31 Jul →
ancient13–50.0120%29 Jul →
inferno13–40.1314%25 Jul →
mirage13–16-0.0615%25 Jul →
inferno11–13-0.0034%24 Jul →
cache14–160.0218%22 Jul →
train5–13-0.0432%22 Jul →
inferno13–70.0117%22 Jul →
cache11–13-0.0026%22 Jul →
ancient13–50.0012%21 Jul →
ancient13–110.0314%21 Jul →
ancient13–70.0640%21 Jul →
cache13–50.0719%18 Jul →
nuke12–12-0.0026%18 Jul →
nuke8–130.0320%16 Jul →
mirage0–13-0.090%16 Jul →
cache13–60.0416%15 Jul →
inferno13–30.1624%15 Jul →
cache13–10.1431%15 Jul →
mirage13–80.1124%14 Jul →
dust213–80.0313%14 Jul →
dust29–130.0622%14 Jul →
inferno13–20.0423%13 Jul →
nuke6–13-0.0512%11 Jul →
dust213–60.0432%11 Jul →
cache5–13-0.0012%9 Jul →
inferno12–120.0433%7 Jul →
cache5–13-0.0320%7 Jul →
mirage13–70.0713%4 Jul →
inferno13–7-0.0015%4 Jul →
dust25–13-0.029%4 Jul →
nuke7–130.0035%4 Jul →
nuke3–100.0119%3 Jul →
inferno13–9-0.0215%3 Jul →
inferno7–13-0.0113%3 Jul →
nuke13–3-0.029%2 Jul →
nuke13–90.0325%2 Jul →
mirage13–30.0732%2 Jul →
cache13–9-0.0614%1 Jul →
overpass13–70.0012%30 Jun →
inferno10–13-0.0224%30 Jun →
nuke6–13-0.0225%30 Jun →
dust26–13-0.0225%30 Jun →
dust213–100.0116%30 Jun →
nuke13–20.0422%29 Jun →
mirage13–160.0611%29 Jun →
dust22–130.0027%29 Jun →
dust213–60.0918%29 Jun →
inferno13–60.0527%29 Jun →
inferno6–13-0.0819%28 Jun →
nuke5–13-0.0227%28 Jun →
dust26–13-0.0617%28 Jun →
inferno1–13-0.0520%28 Jun →
inferno13–5-0.0517%28 Jun →
inferno10–13-0.0217%27 Jun →
dust212–16-0.0426%27 Jun →
inferno8–13-0.0216%27 Jun →
overpass6–130.0830%27 Jun →
nuke13–100.0219%27 Jun →
nuke13–10.0952%27 Jun →
cache11–130.0926%26 Jun →
cache13–110.0124%26 Jun →
dust213–90.0113%26 Jun →
ancient7–13-0.0215%26 Jun →
ancient11–13-0.0227%26 Jun →
mirage13–50.1028%26 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.