Oscari-toS

Oscari-toS — CS2 Stats

VE76561198170626039[U:1:210360311]Steam profile ↗

2,247Tracked matches53%Win rate2020Tracked since
5,698Hours in CS23Hrs last 2 wks
CSDB Rating5.1 Developing
FaceitLevel 7 · 1,427 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGOscari-toSFACEITLevel 7 · 1,427 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning60
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY5248Last 10052%Win rateWLWWLLWLLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim5.4
Aggression6.7
Utility6.5
Positioning6.0
Opening Duels3.1
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

iM

Plays most like iM 88% playstyle similarity

Most alike: opening-fight frequency, 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 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 656ms 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

Aim5.4
Positioning6.0
Utility6.5
Mechanics6.0
Opening Duels3.1
Win Impact6.1

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time653ms−9ms
first ⅓ avg 661ms → last ⅓ avg 653ms
Headshot accuracy21.3%−3.5%
first ⅓ avg 24.7% → last ⅓ avg 21.3%

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.

Highlights

0.15Best rating — dust2 13–5
132Biggest win — anubis
4Longest win streak
610In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 63% over 24anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA2415963%-0.00
mirageB1991047%-0.01
dust2A1811761%0.01
anubisC135838%-0.01
nukeB126650%-0.01
ancientB105550%0.01
cache31233%-0.04
overpass1010%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

171,326Lifetime kills
1.03K/D
7,911Matches
39.4%Match win rate
49.9%Headshot % · Top 50% of tracked players
12.8%Shot accuracy · Top 50% of tracked players
13,788MVPs
3,775Hours (in match)
7,420Bombs planted
2,131Bombs defused

Most-used weapons

Lifetime map wins

20,969dust2
17,111inferno
3,900nuke
2,038train
1,401vertigo
150cbble
19safehouse
18office

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

Faceit stats

Combat

1,902Matches
50%Win rate
1.05Avg K/D
71.5ADR
51%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno36456%1.0314.3
Mirage20543%0.9914.1
Anubis20148%1.0415.3
Dust220050%1.0314.8
Ancient17549%1.0314.3
Nuke12853%1.0314.6
Vertigo1942%0.9114.0
Overpass1250%1.1714.0

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.

21.2%Headshot accuracy
30.8%Accuracy (enemy spotted)
34.0%Spray accuracy
77.0%Counter-strafing
10.9°Preaim
656msReaction time
33.5%T opening success
51.4%CT opening success
0.58Enemies flashed / flash
6.1%Flash assists
11.57HE damage / grenade
9.31Flashes / 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

    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 33.4514% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–50.0525%27 Aug
cache1–13-0.1120%22 Aug
inferno13–110.0524%17 Aug
ancient13–90.0422%16 Aug
dust25–13-0.0222%12 Aug
inferno9–13-0.0423%11 Aug
dust213–50.1522%9 Aug
inferno7–13-0.0421%9 Aug
cache10–130.0020%3 Aug
mirage9–130.0121%2 Aug
inferno11–130.0226%25 Jul
inferno13–100.0123%23 Jul
anubis13–110.0223%6 Jul
nuke13–30.0326%5 Jul
anubis13–70.1417%1 Jul
inferno7–13-0.0116%15 Jun
inferno9–13-0.0221%14 Jun
mirage7–13-0.0242%11 Jun
anubis9–130.0121%7 Jun
mirage16–130.0211%7 Jun
nuke13–60.0717%31 May
mirage9–13-0.0324%30 May
anubis13–2-0.0514%30 May
inferno16–12-0.0026%27 May
cache13–6-0.0211%26 May
mirage10–13-0.0422%25 May
mirage16–140.0119%23 May
inferno7–130.0611%16 May
mirage13–7-0.0113%14 May
inferno13–60.0431%12 May
dust213–100.0630%11 May
dust213–7-0.0316%11 May
mirage11–130.0218%8 May
anubis2–130.0414%8 May
dust213–90.0114%7 May
ancient13–8-0.0117%3 May
anubis13–9-0.0125%3 May
inferno13–6-0.0710%26 Apr
dust212–16-0.0615%25 Apr
mirage0–13-0.040%24 Apr
nuke11–13-0.0628%23 Apr
nuke14–16-0.0122%14 Apr
mirage13–80.0426%9 Apr
dust216–120.0218%4 Apr
inferno13–30.0417%4 Apr
nuke13–7-0.0425%3 Apr
nuke11–13-0.0426%28 Mar
nuke13–70.0225%27 Mar
nuke13–90.0021%25 Mar
mirage13–40.0812%22 Mar
dust213–110.0327%5 Mar
overpass11–13-0.0024%3 Mar
inferno1–13-0.0717%3 Mar
nuke13–7-0.0816%3 Mar
inferno13–2-0.0213%2 Mar
ancient13–70.0732%2 Mar
inferno5–13-0.0226%2 Mar
dust213–70.0332%22 Feb
mirage13–100.0323%22 Feb
ancient4–130.0418%22 Feb
nuke7–13-0.0411%22 Feb
dust29–130.0131%20 Feb
dust213–8-0.0032%19 Feb
anubis11–13-0.0314%10 Feb
ancient7–13-0.0117%10 Feb
dust28–13-0.0316%8 Feb
anubis11–13-0.0214%5 Feb
ancient8–13-0.0219%5 Feb
inferno13–3-0.0219%2 Feb
ancient8–13-0.0229%1 Feb
inferno13–7-0.0020%1 Feb
inferno16–120.0222%31 Jan
mirage6–13-0.0621%31 Jan
ancient16–120.0419%28 Jan
anubis5–13-0.0223%28 Jan
mirage1–8-0.120%26 Jan
mirage13–20.0331%26 Jan
dust213–60.0129%26 Jan
anubis11–13-0.0219%25 Jan
dust213–110.0625%24 Jan
inferno13–90.0117%24 Jan
anubis0–13-0.1033%24 Jan
inferno16–130.0122%24 Jan
anubis13–110.0438%23 Jan
inferno13–3-0.0123%20 Jan
dust29–130.0023%18 Jan
ancient7–13-0.0414%17 Jan
nuke16–19-0.0419%17 Jan
inferno13–20.0224%12 Jan
anubis9–13-0.079%11 Jan
mirage8–13-0.0140%11 Jan
inferno9–13-0.0313%11 Jan
dust27–13-0.0620%11 Jan
mirage11–8-0.0616%11 Jan
mirage3–130.0342%6 Jan
dust213–80.0524%5 Jan
mirage13–4-0.09100%5 Jan
dust214–16-0.0113%3 Jan
nuke7–130.0233%3 Jan
ancient13–90.0119%1 Jan

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 →