Oskar1

Oskar1 — CS2 Stats

FI76561198187847018[U:1:227581290]Steam profile ↗✓ No bans

2,246Tracked matches43%Win rate2020Tracked since
6,655Hours in CS
CSDB Rating3.3 LearningSupport
FaceitLevel 9 · 1,593 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,593 → 1,593
+2Tracked matches · now 2,246
0.0ppWin rate · 43.3% → 43.3%

Rating over time

Premier CS Rating: 26,104 +7,500 3 Oct – 8 Feb · 9 days played
18,49526,104peak 26,1043 Oct8 Feb
26,104Peak Premier in tracked matches
1,593Highest Faceit ELO seen on CSDB
70Days played since 2024-08-14

Faceit ELO

  • At peak — 1,593
  • Next: Level 9 at 1,751 — 158 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-19
  • Level 7 first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate41.6%48.2%50.9%9.4% short
Shot accuracy16.3%13.2%13.7%above
Kill/death ratio0.781.071.090.31 short
Match win rate34.3%46.9%48.4%14.0% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGOskar1FACEITLevel 9 · 1,593 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,593csdb.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

Aim37
Positioning32
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLWLLWWLLWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.9pp headshot accuracy · −58ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 617ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 653ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 681ms

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 (+1.2 against its own average).

Aim3.7
Utility3.6
Positioning3.2
Opening Duels0.0
Clutch2.8

Limited utility dependence

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 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 661ms 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

Aim3.7
Positioning3.2
Utility3.6
Mechanics5.9
Opening Duels0.0
Win Impact2.8

Composite 3.3/10 (Learning), 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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time673ms+43ms
first ⅓ avg 630ms → last ⅓ avg 673ms
Headshot accuracy18.3%−0.5%
first ⅓ avg 18.8% → last ⅓ avg 18.3%

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

0.13Best match rating · 13–4 · nuke, 6 Oct →
45%Best headshot accuracy · 9–13 · nuke, 28 Jan →
422msFastest reaction time · 13–8 · train, 18 Nov →
13–0Biggest win · nuke, 16 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 61% over 23dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC2712–1544%-0.03
mirageA2314–961%-0.03
ancientA1811–761%-0.03
anubisB105–550%-0.02
cacheB63–350%-0.03
dust2D62–433%-0.06
trainC52–340%-0.06
overpass—32–167%-0.07
edin—11–0100%-0.00
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

192,122Lifetime kills
0.78K/D
9,519Matches
34.3%Match win rate
41.6%Headshot %
16.3%Shot accuracy · Top 25% of Level 9 players
22,613MVPs
6,655Hours (in match)
7,835Bombs planted
2,653Bombs defused

Most-used weapons

AK-4767,068
AWP31,865
Knife3,800
P2503,722
FAMAS3,388

Lifetime map wins

13,031nuke
6,780train
4,433dust2
3,939inferno
2,834vertigo
1,307cbble
240lake
174safehouse

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

Faceit stats

Combat

2,926Matches
50%Win rate
0.79Avg K/D
56.9ADR
38%Headshot %

Clutches & streaks

34%1v1 clutch win
12%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24744%0.7111.7
Nuke23165%0.7811.4
Anubis17648%0.7411.8
Ancient16548%0.7211.4
Cache3557%0.7810.7
Train3435%0.6710.3
Vertigo2143%0.6611.1
Overpass1741%0.5911.1

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.

17.6%Headshot accuracy
26.3%Accuracy (enemy spotted)
26.2%Spray accuracy
76.7%Counter-strafing
10.3°Preaim
661msReaction time
12.5%T opening success
26.5%CT opening success
0.45Enemies flashed / flash
7.7%Flash assists
7.13HE damage / grenade
2.46Flashes / 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 0.4495 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 12.4703% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.086%30 Aug →
cache13–5-0.0412%30 Aug →
mirage11–13-0.0416%25 Aug →
nuke10–13-0.0210%25 Aug →
cache13–11-0.0516%10 Aug →
mirage13–7-0.0015%5 Aug →
nuke5–13-0.0221%27 Jul →
cache7–13-0.0311%27 Jul →
dust222–19-0.0525%17 Jun →
nuke13–0-0.0633%16 Jun →
anubis13–160.0012%10 Jun →
mirage13–11-0.0318%9 Jun →
cache11–130.0315%27 May →
ancient16–14-0.0117%26 May →
overpass13–10-0.0712%26 May →
ancient11–13-0.0413%25 May →
cache16–14-0.0232%13 May →
dust29–13-0.1211%12 May →
nuke11–13-0.0531%12 May →
anubis13–10-0.0525%7 May →
cache7–13-0.0512%30 Apr →
nuke10–13-0.0115%30 Apr →
ancient4–13-0.1113%30 Apr →
mirage13–9-0.0221%29 Apr →
nuke4–13-0.0713%20 Apr →
dust213–5-0.0521%20 Apr →
nuke14–16-0.0124%19 Apr →
ancient13–20.0116%13 Apr →
ancient5–13-0.0110%13 Apr →
ancient7–130.0024%10 Apr →
anubis5–13-0.0542%10 Apr →
anubis13–9-0.0414%10 Apr →
nuke8–13-0.0531%7 Apr →
nuke13–8-0.0316%2 Apr →
nuke13–10-0.0411%22 Mar →
mirage13–90.0421%15 Mar →
nuke13–10-0.0824%15 Mar →
nuke6–13-0.0123%8 Mar →
ancient13–7-0.0523%24 Feb →
nuke8–13-0.0720%20 Feb →
anubis17–19-0.0625%19 Feb →
nuke13–11-0.0623%18 Feb →
mirage13–60.0119%8 Feb →
ancient5–13-0.1329%8 Feb →
mirage3–13-0.0514%6 Feb →
mirage16–12-0.0418%6 Feb →
mirage13–8-0.0321%5 Feb →
nuke13–5-0.0329%5 Feb →
anubis3–13-0.0519%4 Feb →
anubis8–4-0.0118%3 Feb →
mirage13–9-0.0318%3 Feb →
nuke13–3-0.0511%2 Feb →
nuke9–13-0.0445%28 Jan →
ancient13–50.0220%28 Jan →
ancient13–10-0.0230%24 Jan →
nuke16–120.0120%12 Jan →
mirage9–13-0.0915%21 Sept →
dust215–15-0.0518%4 Sept →
mirage5–13-0.0622%23 Aug →
train14–16-0.0718%13 Aug →
nuke8–13-0.0814%9 Aug →
ancient13–9-0.0524%4 Aug →
mirage13–10-0.0210%3 Aug →
overpass13–10-0.0719%3 Aug →
dust26–13-0.0923%3 Aug →
mirage13–40.0013%3 Aug →
ancient13–6-0.0323%29 Jul →
ancient10–13-0.0019%22 Jul →
mirage13–9-0.0113%18 Jul →
ancient13–7-0.018%21 Apr →
mirage17–19-0.0219%21 Mar →
anubis5–130.0213%19 Mar →
mirage8–13-0.0633%4 Mar →
ancient16–130.0218%22 Feb →
nuke13–30.0623%22 Feb →
train5–13-0.0912%20 Feb →
nuke11–13-0.0321%18 Dec →
ancient19–17-0.0614%7 Dec →
train6–13-0.1014%6 Dec →
train13–8-0.0921%18 Nov →
edin13–5-0.008%17 Nov →
train13–40.0426%17 Nov →
anubis13–50.0326%3 Nov →
nuke14–16-0.0715%21 Oct →
ancient10–13-0.0318%21 Oct →
nuke8–13-0.0615%9 Oct →
vertigo13–11-0.0213%9 Oct →
mirage13–9-0.0320%9 Oct →
mirage2–13-0.1229%7 Oct →
mirage6–13-0.0913%7 Oct →
mirage16–13-0.0320%6 Oct →
nuke13–40.1321%6 Oct →
ancient13–10-0.0025%6 Oct →
dust28–13-0.0222%4 Oct →
nuke13–4-0.0518%3 Oct →
mirage10–13-0.0420%3 Oct →
overpass6–9-0.0841%3 Oct →
mirage13–90.0014%19 Sept →
anubis13–7-0.0111%8 Sept →
nuke13–8-0.0618%14 Aug →

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 →

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