oskar

oskar — CS2 Stats

PL76561199021227615[U:1:1060961887]Steam profile ↗✓ No bans

145Tracked matches59%Win rate2024Tracked since
1,073Hours in CS50Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 3,051 -1,671 23 Dec – 29 Mar · 9 days played
2,6394,892peak 4,89223 Dec29 Mar
4,892Peak Premier in tracked matches
72Days played since 2024-12-23

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 2 among CSDB-tracked players (n=5,923), 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 2 medianLevel 3 medianvs Level 3
Headshot rate40.0%41.3%41.8%1.8% short
Shot accuracy0.5%12.7%12.2%11.7% short
Kill/death ratio0.650.950.980.33 short
Match win rate28.4%42.6%43.3%14.9% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGoskarFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning52
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY56–36–8Last 10056%Win rateWLLWWLWWTW

Last 10 vs previous 10: +10pp win rate · +0.11 avg rating · +0.3pp headshot accuracy · +38ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 13%
  • Avg reaction 572ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 12%
  • Avg reaction 580ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 561ms

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).

Aim6.3
Utility3.4
Positioning5.2
Opening Duels3.2
Clutch2.8

Strong 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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 54% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 668ms 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

Aim6.3
Positioning5.2
Utility3.4
Mechanics6.5
Opening Duels3.6
Win Impact8.1

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time555ms−140ms
first ⅓ avg 694ms → last ⅓ avg 555ms
Headshot accuracy11.0%+0.1%
first ⅓ avg 10.9% → last ⅓ avg 11.0%

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

0.29Best match rating · 9–5 · inferno, 22 Jul →
25%Best headshot accuracy · 13–2 · mirage, 10 Oct →
375msFastest reaction time · 9–6 · inferno, 11 Sept →
13–0Biggest win · nuke, 10 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 72% over 18nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2714–1352%0.00
mirageA2715–1256%0.00
anubisS1813–572%-0.00
nukeD93–633%-0.03
dust2A74–357%-0.00
poseidonA53–260%0.02
cache—20–20%0.00
vertigo—21–150%0.00
sanctum—11–0100%-0.08
overpass—11–0100%0.02
ancient—11–0100%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,797Lifetime kills
0.65K/D
1,519Matches
28.4%Match win rate
40.0%Headshot %
0.5%Shot accuracy
2,902MVPs
474Hours (in match)
1,191Bombs planted
255Bombs defused

Most-used weapons

Lifetime map wins

1,759inferno
927dust2
824nuke
315vertigo
27ar_shoots
17ar_baggage
15train
13italy

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

Faceit stats

Combat

124Matches
44%Win rate
1.05Avg K/D
84.1ADR
33%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3639%1.0116.4
Dust22152%1.0615.4
Anubis1850%1.1014.9
Ancient1443%0.9915.2
Nuke1331%0.9815.0
Inferno944%1.1916.8
Cache667%1.0517.0
Overpass520%1.2621.4

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.

10.2%Headshot accuracy
37.9%Accuracy (enemy spotted)
43.4%Spray accuracy
79.4%Counter-strafing
9.4°Preaim
668msReaction time
34.6%T opening success
54.1%CT opening success
0.37Enemies flashed / flash
5.3%Flash assists
5.17HE damage / grenade
7.05Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.1943% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3731 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 34.6353% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–20.218%4 Oct →
inferno2–9-0.133%4 Oct →
inferno7–90.0620%4 Oct →
dust213–90.0619%3 Oct →
inferno9–10.1613%2 Oct →
inferno5–90.098%1 Oct →
nuke9–40.129%28 Sept →
inferno9–60.139%27 Sept →
cache15–150.0416%26 Sept →
nuke13–90.0114%26 Sept →
cache9–13-0.0415%23 Sept →
inferno8–8-0.0511%21 Sept →
inferno5–9-0.047%20 Sept →
inferno9–7-0.0612%20 Sept →
poseidon9–7-0.1214%20 Sept →
poseidon9–40.1210%14 Sept →
inferno5–9-0.1614%12 Sept →
poseidon6–9-0.0211%11 Sept →
inferno9–6-0.0113%11 Sept →
inferno9–6-0.039%11 Sept →
inferno9–3-0.0113%11 Sept →
anubis13–80.097%9 Sept →
inferno9–7-0.1913%5 Sept →
inferno7–9-0.120%5 Sept →
nuke1–9-0.160%5 Sept →
mirage3–130.008%4 Sept →
mirage13–70.0913%3 Sept →
inferno9–50.0414%31 Aug →
inferno6–9-0.0813%31 Aug →
inferno8–80.0510%31 Aug →
nuke7–90.0511%31 Aug →
inferno9–7-0.0319%30 Aug →
poseidon6–90.1011%30 Aug →
inferno7–9-0.019%30 Aug →
inferno9–40.066%29 Aug →
inferno9–60.1413%29 Aug →
poseidon9–70.040%19 Aug →
inferno9–50.2914%22 Jul →
mirage2–13-0.074%21 Jul →
mirage1–13-0.0412%20 Jul →
mirage13–100.0312%16 Jul →
inferno7–9-0.0410%21 Jun →
dust29–13-0.0117%29 Mar →
mirage5–13-0.0615%27 Mar →
mirage4–12-0.0624%23 Mar →
dust23–13-0.045%21 Mar →
sanctum9–5-0.085%18 Mar →
mirage13–70.015%18 Mar →
dust213–11-0.0310%7 Mar →
nuke10–13-0.070%5 Mar →
mirage13–20.080%25 Feb →
vertigo8–70.0012%18 Feb →
anubis13–110.0015%10 Jan →
anubis12–120.005%7 Jan →
vertigo2–90.010%4 Jan →
anubis13–11-0.046%4 Jan →
nuke9–13-0.034%30 Dec →
overpass9–40.024%28 Dec →
anubis13–6-0.018%22 Dec →
anubis13–40.0315%22 Dec →
anubis12–12-0.029%21 Dec →
anubis13–10.0011%21 Dec →
anubis13–7-0.012%20 Dec →
anubis13–30.068%17 Dec →
anubis3–13-0.0716%16 Dec →
anubis13–1-0.037%16 Dec →
mirage13–7-0.048%15 Dec →
anubis10–13-0.0512%15 Dec →
anubis13–9-0.015%13 Dec →
mirage13–90.009%11 Dec →
anubis5–13-0.0511%11 Dec →
mirage10–130.0215%6 Dec →
anubis13–10.006%6 Dec →
anubis13–30.014%6 Dec →
inferno12–12-0.0918%1 Dec →
anubis13–60.0020%28 Nov →
nuke13–0-0.0811%10 Nov →
nuke2–11-0.087%31 Oct →
mirage6–13-0.0812%30 Oct →
mirage12–12-0.086%26 Oct →
mirage9–13-0.039%11 Oct →
mirage13–50.0513%10 Oct →
mirage13–20.0525%10 Oct →
mirage13–30.0412%20 Jul →
mirage13–80.1814%16 Apr →
mirage0–3-0.070%27 Mar →
mirage7–130.058%15 Mar →
mirage12–12-0.0220%9 Mar →
inferno13–2-0.0612%7 Mar →
mirage13–90.017%7 Mar →
nuke4–13-0.009%23 Feb →
mirage13–90.0821%22 Feb →
dust213–100.0510%22 Feb →
dust23–13-0.035%21 Feb →
ancient13–60.0515%8 Feb →
mirage13–30.009%22 Jan →
mirage13–8-0.018%9 Jan →
mirage13–90.0114%3 Jan →
inferno4–13-0.094%24 Dec →
dust213–11-0.0210%23 Dec →

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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