Petar

Petar — CS2 Stats

CX76561198929368580[U:1:969102852]Steam profile ↗✓ No bans

2,115Tracked matches53%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 2,115
+5.2ppWin rate · 48.1% → 53.3%

Rating over time

Premier CS Rating: 25,116 +1,042 18 Apr – 20 May · 8 days played
24,07425,634peak 25,63418 Apr20 May
25,634Peak Premier in tracked matches
60Days played since 2026-02-16

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

Share this profile

CSDB.GGPetarFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning59
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY56–37–7Last 10056%Win rateWWWWLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · −26ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 24%
  • Avg reaction 467ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 488ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 500ms

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 (+1.7 against its own average).

Aim7.9
Utility6.6
Positioning5.9
Opening Duels4.1
Clutch2.8

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 94% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.9
Positioning5.9
Utility6.6
Mechanics5.5
Opening Duels3.3
Win Impact6.1

Composite 6.3/10 (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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time522ms−42ms
first ⅓ avg 564ms → last ⅓ avg 522ms
Headshot accuracy24.5%+2.5%
first ⅓ avg 22.1% → last ⅓ avg 24.5%

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.

Personal bests

0.20Best match rating · 13–1 · nuke, 5 Mar →
50%Best headshot accuracy · 3–10 · train, 15 Aug →
375msFastest reaction time · 6–13 · ancient, 5 Mar →
13–0Biggest win · train, 19 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W4Current streak
5–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

vertigoBest map · 80% over 5cacheWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
ancientB178–947%0.03
anubisC156–940%0.02
nukeA138–562%0.03
cacheD113–827%0.05
infernoA95–456%0.05
overpassS96–367%0.05
mirageS86–275%0.02
trainS75–271%0.08
vertigoS54–180%0.06
office—33–0100%0.05
dust2—32–167%0.03

Across the last 100 tracked matches.

Faceit stats

Combat

2,010Matches
52%Win rate
1.10Avg K/D
85.3ADR
48%Headshot %

Clutches & streaks

34%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient27153%1.1517.7
Anubis19549%1.1017.1
Mirage13547%0.9515.5
Nuke11650%1.1617.7
Vertigo10153%1.0717.1
Dust28551%1.0815.9
Inferno6255%1.1716.3
Overpass6063%1.1817.2

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.

24.5%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.5%Spray accuracy
74.6%Counter-strafing
9.2°Preaim
529msReaction time
37.3%T opening success
49.0%CT opening success
0.66Enemies flashed / flash
8.1%Flash assists
9.26HE damage / grenade
10.65Flashes / 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 37.2742% — below the 40% mark we flag

Spend your practice time on Cache

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train13–60.0228%10 Oct →
train13–50.1633%10 Oct →
vertigo12–30.0526%23 Sept →
ancient13–30.1115%12 Sept →
cache11–130.0620%26 Aug →
mirage19–15-0.0219%21 Aug →
anubis13–80.0224%19 Aug →
cache9–13-0.0215%19 Aug →
anubis10–13-0.0015%19 Aug →
train3–100.0150%15 Aug →
anubis13–20.0831%9 Aug →
ancient8–13-0.0110%7 Aug →
inferno16–140.0122%25 Jul →
nuke13–50.0232%25 Jul →
anubis13–90.1230%24 Jul →
nuke8–130.0121%23 Jul →
ancient13–20.1727%21 Jul →
cache11–130.0432%21 Jul →
mirage13–50.0718%18 Jul →
mirage5–13-0.0419%18 Jul →
nuke8–13-0.1125%18 Jul →
anubis13–160.0122%16 Jul →
mirage13–40.0823%9 Jul →
office13–90.0138%9 Jul →
anubis5–130.1129%5 Jul →
mirage8–130.0317%4 Jul →
nuke13–70.0545%3 Jul →
cache13–20.0320%1 Jul →
cache8–130.0121%1 Jul →
inferno7–13-0.0621%26 Jun →
dust215–150.0621%26 Jun →
nuke12–120.0117%25 Jun →
vertigo12–120.0321%25 Jun →
train13–70.0923%20 Jun →
train13–00.1635%19 Jun →
inferno13–50.1020%11 Jun →
vertigo13–80.0920%11 Jun →
inferno10–130.0014%10 Jun →
vertigo13–110.0113%5 Jun →
anubis8–13-0.0529%27 May →
ancient8–130.0320%25 May →
nuke13–60.0527%22 May →
cache7–130.0514%22 May →
nuke13–6-0.0523%20 May →
ancient13–0-0.0421%20 May →
ancient16–130.0725%19 May →
anubis13–11-0.0013%10 May →
ancient13–100.0723%9 May →
cache12–120.0516%7 May →
cache13–30.1517%7 May →
cache13–80.0419%7 May →
cache11–130.0620%6 May →
overpass13–40.0932%6 May →
anubis9–13-0.0417%3 May →
cache12–120.0311%29 Apr →
dust213–70.058%26 Apr →
nuke11–130.0233%23 Apr →
nuke14–160.1223%23 Apr →
ancient10–130.0720%23 Apr →
inferno16–120.0816%22 Apr →
train6–130.0420%22 Apr →
inferno10–130.0614%21 Apr →
inferno10–130.0338%21 Apr →
mirage16–12-0.0114%21 Apr →
nuke13–40.0325%20 Apr →
ancient13–70.0312%20 Apr →
inferno13–90.1417%20 Apr →
overpass13–30.0417%20 Apr →
nuke13–70.0316%18 Apr →
dust213–10-0.0124%18 Apr →
overpass13–00.0729%18 Apr →
mirage13–50.0522%12 Apr →
ancient15–150.0420%12 Apr →
ancient13–50.1724%12 Apr →
ancient13–16-0.0224%12 Apr →
anubis11–13-0.0510%12 Apr →
nuke13–20.0221%12 Apr →
overpass13–30.0728%12 Apr →
anubis13–100.1724%4 Apr →
anubis13–60.0720%4 Apr →
anubis1–13-0.0120%4 Apr →
ancient17–19-0.0324%22 Mar →
office13–40.0938%20 Mar →
overpass5–9-0.0217%20 Mar →
office13–20.0630%19 Mar →
inferno13–30.0725%11 Mar →
overpass12–120.1421%11 Mar →
overpass7–130.0323%11 Mar →
ancient13–90.0323%8 Mar →
ancient6–13-0.0427%5 Mar →
ancient10–130.0121%5 Mar →
nuke13–10.2033%5 Mar →
mirage13–110.0417%4 Mar →
anubis10–13-0.037%2 Mar →
train13–40.1144%1 Mar →
ancient5–13-0.069%27 Feb →
anubis5–13-0.0121%26 Feb →
overpass13–110.0419%25 Feb →
overpass13–8-0.029%24 Feb →
vertigo13–20.1324%16 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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