Team Oscar SlaktarN

Team Oscar SlaktarN — CS2 Stats

SE76561198039014642[U:1:78748914]Steam profile ↗✓ No bans

646Tracked matches32%Win rate2021Tracked since
934Hours in CS
CSDB Rating4.6 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate50.4%42.5%44.2%above
Shot accuracy18.2%10.9%11.2%above
Kill/death ratio1.440.991.04above
Match win rate40.2%44.2%45.3%5.1% short

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTeam Oscar SlaktarNFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning51
Utility62

0–100 skill scores via Leetify.

Recent form

COLD43498Last 10043%Win rateLLLLLLWWTL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim5.2
Aggression6.4
Utility6.2
Positioning5.1
Opening Duels2.2

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 624ms 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

Aim5.2
Positioning5.1
Utility6.2
Mechanics6.0
Opening Duels2.2
Win Impact0.0

Composite 4.6/10 (Developing), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time610ms−33ms
first ⅓ avg 643ms → last ⅓ avg 610ms
Headshot accuracy16.5%−1.6%
first ⅓ avg 18.0% → last ⅓ avg 16.5%

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.

Highlights

0.16Best rating — overpass 13–3
132Biggest win — office
6Longest win streak
L6Current streak
67In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 64% over 11trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheD1941521%0.00
overpassA117464%0.03
anubisC104640%-0.01
infernoB105550%-0.00
ancientC83538%-0.01
nukeA85363%0.01
dust2D72529%0.00
trainD51420%-0.03
vertigo42250%0.02
mirage3030%-0.01
grail31233%0.01
jura31233%0.02
office21150%0.01
edin220100%0.01
warden110100%0.02
alpine110100%-0.03
stronghold110100%-0.05
agency110100%0.01
basalt110100%0.02

Across the last 100 tracked matches.

Lifetime stats

54,892Lifetime kills
1.44K/D · Top 5% of Level 4 players
1,832Matches
40.2%Match win rate
50.4%Headshot % · Top 25% of Level 4 players
18.2%Shot accuracy · Top 10% of Level 4 players
4,038MVPs
934Hours (in match)
1,297Bombs planted
305Bombs defused

Most-used weapons

Lifetime map wins

2,497inferno
1,299dust2
869nuke
554vertigo
380train
218cbble
200office
133italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.5%Headshot accuracy
31.9%Accuracy (enemy spotted)
36.6%Spray accuracy
76.8%Counter-strafing
11.4°Preaim
624msReaction time
31.6%T opening success
45.8%CT opening success
0.56Enemies flashed / flash
6.7%Flash assists
6.64HE damage / grenade
19.58Flashes / 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 31.6058% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0413%30 Jun
cache8–130.044%23 May
cache6–13-0.0217%23 May
anubis5–13-0.0213%23 May
cache5–13-0.018%23 May
cache11–130.0514%23 May
cache13–90.0215%15 May
cache13–4-0.0224%15 May
cache12–120.0219%15 May
cache5–13-0.0714%14 May
cache12–120.048%14 May
cache9–13-0.0211%14 May
cache10–130.0313%9 May
cache12–120.0210%9 May
cache12–120.0315%9 May
cache6–13-0.0117%9 May
cache13–11-0.0019%9 May
cache7–130.0115%9 May
cache10–13-0.098%7 May
cache12–12-0.0218%29 Apr
cache13–100.0734%29 Apr
dust213–80.0130%25 Apr
ancient4–130.0520%25 Apr
nuke13–60.0118%25 Apr
overpass13–110.0215%25 Apr
anubis8–13-0.0430%25 Apr
mirage6–13-0.0321%25 Apr
dust213–90.0316%25 Apr
anubis7–13-0.0320%25 Apr
inferno7–13-0.0123%25 Apr
ancient7–130.0419%25 Apr
nuke5–00.1614%25 Apr
inferno11–130.0213%28 Mar
dust29–13-0.0313%21 Mar
inferno10–13-0.018%21 Mar
inferno13–110.0425%21 Mar
ancient9–3-0.0713%21 Mar
overpass13–30.1625%21 Mar
nuke6–130.0214%21 Mar
anubis12–20.0416%7 Mar
overpass13–40.0519%7 Mar
dust27–13-0.019%28 Feb
inferno10–13-0.047%24 Feb
overpass13–90.039%24 Feb
ancient6–13-0.0212%13 Feb
anubis13–90.0721%24 Jan
overpass13–100.0221%24 Jan
ancient13–40.0119%24 Jan
warden13–90.0217%23 Jan
alpine9–6-0.0318%23 Jan
stronghold13–10-0.0511%23 Jan
train15–150.0018%9 Jan
mirage11–13-0.0222%9 Jan
overpass11–13-0.0114%9 Jan
train9–13-0.0120%9 Jan
nuke13–100.0118%9 Jan
inferno13–60.0227%5 Jan
ancient13–70.0322%5 Jan
overpass10–13-0.0128%5 Jan
inferno13–80.0419%5 Jan
train10–13-0.0821%27 Dec
nuke13–11-0.0317%27 Dec
dust26–130.0223%22 Nov
train16–13-0.0312%22 Nov
inferno13–10-0.0514%22 Nov
nuke6–13-0.065%22 Nov
mirage8–130.0132%22 Nov
dust26–130.0214%22 Nov
overpass7–130.0123%22 Nov
inferno8–13-0.0123%22 Aug
nuke11–13-0.0615%22 Aug
overpass13–80.0125%22 Aug
office13–20.0212%15 Aug
office8–13-0.0024%11 Aug
grail13–100.0113%11 Aug
vertigo12–12-0.0511%11 Aug
inferno13–8-0.0229%11 Aug
ancient10–13-0.0429%11 Aug
overpass11–13-0.0111%11 Aug
train9–13-0.0312%4 Aug
jura5–13-0.0119%4 Aug
anubis13–60.0624%21 Jun
jura13–110.0521%31 May
grail11–130.0320%31 May
agency13–40.0114%11 May
jura6–130.0122%10 May
grail4–13-0.0122%10 May
nuke13–60.0419%29 Apr
basalt13–70.0218%24 Jan
vertigo13–70.0423%24 Jan
anubis2–13-0.0821%24 Jan
edin13–8-0.0115%24 Jan
ancient6–13-0.0620%24 Jan
dust29–13-0.0112%19 Jan
anubis13–8-0.018%19 Jan
edin13–90.0316%19 Jan
vertigo7–00.0929%19 Jan
anubis7–13-0.0321%19 Jan
overpass13–110.027%18 Jan
vertigo12–12-0.028%17 Jan

Match data via Leetify.

Recent teammates

Milestones

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