oskuN

oskuN — CS2 Stats

FI76561198009037129[U:1:48771401]Steam profile ↗✓ No bans

1,720Tracked matches52%Win rate2021Tracked since
3,428Hours in CS5Hrs last 2 wks
CSDB Rating6.5 SolidSupport
Premier CS Rating25,370Top 10% of 204,412 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#17650 of 251656 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (6 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: 25,370 +2,351 25 May – 8 Oct · 8 days played
23,01925,370peak 25,37025 May8 Oct
25,370Peak Premier in tracked matches
1,849Highest Faceit ELO seen on CSDB
44Days played since 2026-05-19

Faceit ELO

  • At peak — 1,849
  • Next: Level 10 at 2,001 — 152 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • At peak — 25,370
  • +1,928 over 30 days · improving
  • Next: Gold band at 30,000 — 4,630 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches25——
Win rate60%——
K/D1.03——
Headshot %51%——

Measured 13 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate44.3%49.3%50.9%6.6% short
Shot accuracy11.4%13.4%11.8%0.5% short
Kill/death ratio1.001.121.180.18 short
Match win rate49.7%48.5%51.9%2.1% short

This profile sits below the typical Gold band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGoskuNPREMIER25,370 · Red bandPEAK ELO1,849csdb.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

Aim71
Positioning63
Utility66

0–100 skill scores via Leetify.

Recent form

HOT44–51–5Last 10044%Win rateWWWTWLLWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +0.0pp headshot accuracy · +23ms 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 602ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 538ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • 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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim7.1
Utility6.6
Positioning6.3
Opening Duels3.4
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

ZywOo

Plays most like ZywOo 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim7.1
Positioning6.3
Utility6.6
Mechanics6.0
Opening Duels3.9
Win Impact5.6

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time531ms−37ms
first ⅓ avg 568ms → last ⅓ avg 531ms
Headshot accuracy19.2%−1.4%
first ⅓ avg 20.6% → last ⅓ avg 19.2%

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

0.18Best match rating · 13–4 · inferno, 1 Jun →
37%Best headshot accuracy · 13–11 · cache, 19 Jun →
359msFastest reaction time · 13–10 · inferno, 26 Aug →
13–1Biggest win · vertigo, 7 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
9–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 64% over 11nukeWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB199–1047%0.02
mirageB158–753%0.00
cacheC156–940%0.00
anubisC135–838%-0.00
ancientA117–464%0.02
dust2A85–363%0.01
nukeD70–70%-0.01
office—31–233%-0.01
train—31–233%-0.04
vertigo—22–0100%0.10
rush_001—10–10%0.02
overpass—10–10%-0.09
shelter—10–10%0.01
alpine—10–10%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,495Lifetime kills
1.00K/D
4,519Matches
49.7%Match win rate · Top 50% of Red band
44.3%Headshot %
11.4%Shot accuracy
8,770MVPs
2,279Hours (in match)
4,011Bombs planted
1,070Bombs defused

Most-used weapons

AK-4721,384
AWP8,114
Knife3,018
SCAR-202,263
P901,676
Tec-91,475

Lifetime map wins

5,365inferno
3,688dust2
3,535nuke
1,373vertigo
1,191train
762office
554cbble
145lake

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

Faceit stats

Combat

275Matches
57%Win rate
1.04Avg K/D
76.1ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2060%1.1613.8
Inferno1833%0.9615.5
Ancient1776%1.0814.8
Nuke1662%1.3717.1
Anubis1070%0.9813.5
Train650%1.0814.7
Dust24100%0.709.5
Overpass250%0.6312.0

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.

18.8%Headshot accuracy
32.5%Accuracy (enemy spotted)
34.2%Spray accuracy
76.9%Counter-strafing
9.0°Preaim
534msReaction time
47.1%T opening success
43.7%CT opening success
0.52Enemies flashed / flash
6.2%Flash assists
11.48HE damage / grenade
15.18Flashes / match

Recommended for you

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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–60.0233%8 Oct →
inferno13–11-0.0212%7 Oct →
vertigo13–10.1116%7 Oct →
inferno12–120.0611%1 Oct →
anubis5–00.0115%1 Oct →
cache8–13-0.048%1 Oct →
rush_0017–80.0228%1 Oct →
cache13–110.0419%25 Sept →
mirage13–6-0.0627%24 Sept →
ancient13–10.0029%18 Sept →
inferno13–60.0021%18 Sept →
cache13–16-0.0723%18 Sept →
cache3–13-0.064%14 Sept →
ancient8–130.0110%14 Sept →
nuke10–130.0224%14 Sept →
inferno7–130.0216%14 Sept →
office11–130.0126%11 Sept →
cache5–13-0.0423%10 Sept →
inferno13–50.0326%10 Sept →
ancient13–60.0324%10 Sept →
anubis13–90.0822%10 Sept →
ancient13–40.0410%10 Sept →
mirage6–13-0.0529%9 Sept →
inferno1–8-0.1029%9 Sept →
nuke8–13-0.0325%6 Sept →
cache13–11-0.0122%6 Sept →
ancient9–130.0714%6 Sept →
ancient13–11-0.0413%5 Sept →
mirage13–20.0411%5 Sept →
inferno11–13-0.0413%5 Sept →
mirage11–13-0.0516%5 Sept →
dust213–11-0.0322%5 Sept →
mirage13–10.0614%5 Sept →
ancient13–70.0318%5 Sept →
inferno13–90.0123%4 Sept →
mirage10–130.0214%4 Sept →
inferno3–10-0.056%3 Sept →
dust213–40.0315%3 Sept →
dust26–13-0.0619%3 Sept →
anubis11–13-0.0516%3 Sept →
anubis8–130.0212%31 Aug →
inferno8–130.1324%31 Aug →
nuke10–130.0521%27 Aug →
inferno13–8-0.0122%27 Aug →
ancient13–100.0416%27 Aug →
inferno13–10-0.0033%26 Aug →
anubis13–90.0519%26 Aug →
inferno16–13-0.058%24 Aug →
mirage13–70.0512%24 Aug →
cache13–70.0119%24 Aug →
inferno0–60.0133%24 Aug →
mirage7–13-0.0327%23 Aug →
anubis6–13-0.0325%23 Aug →
nuke4–13-0.0221%22 Aug →
dust29–130.0113%17 Aug →
inferno5–130.0323%17 Aug →
anubis9–13-0.0122%13 Aug →
inferno5–10-0.0221%13 Aug →
office5–13-0.0424%13 Aug →
cache6–130.0124%13 Aug →
overpass4–13-0.0919%13 Aug →
mirage12–120.0119%8 Aug →
mirage13–80.0429%5 Aug →
dust213–90.0512%4 Aug →
vertigo13–70.0828%2 Aug →
nuke8–130.0333%2 Aug →
cache3–130.0120%2 Aug →
inferno13–60.0817%24 Jul →
cache13–60.078%24 Jul →
shelter6–130.0129%24 Jul →
anubis3–13-0.0327%24 Jul →
train2–13-0.0729%25 Jun →
ancient11–130.0013%25 Jun →
inferno14–160.0722%24 Jun →
ancient12–120.0424%24 Jun →
train13–20.0318%23 Jun →
train3–13-0.0927%23 Jun →
nuke5–13-0.0524%22 Jun →
cache13–11-0.0337%19 Jun →
dust22–13-0.0725%18 Jun →
anubis11–13-0.0417%18 Jun →
anubis12–120.0024%16 Jun →
cache2–13-0.0625%16 Jun →
ancient13–110.0424%12 Jun →
mirage6–130.0912%12 Jun →
anubis13–110.0130%11 Jun →
cache10–130.0219%8 Jun →
dust213–50.1125%6 Jun →
inferno13–40.1820%1 Jun →
alpine11–130.0013%1 Jun →
mirage13–7-0.0321%1 Jun →
anubis11–6-0.0527%30 May →
cache12–120.0223%28 May →
anubis3–13-0.0314%28 May →
mirage4–13-0.0611%28 May →
nuke1–7-0.048%25 May →
mirage13–110.0015%21 May →
office13–90.0118%21 May →
cache13–50.1218%21 May →
dust213–40.0018%19 May →

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 →

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