aca zglavkar

aca zglavkar — CS2 Stats

76561199163289825[U:1:1203024097]Steam profile ↗✓ No bans

701Tracked matches59%Win rate2025Tracked since
968Hours in CS78Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
FaceitLevel 4 · 963 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,000 +5,000 11 Oct – 26 Oct · 15 days played
4,89910,569peak 10,56911 Oct26 Oct
11,135Peak Premier in tracked matches
963Highest Faceit ELO seen on CSDB
15Days played since 2026-10-11

Faceit ELO

  • At peak — 963
  • Next: Level 5 at 1,051 — 88 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 569 below peak (10,569)
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band

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 4 among CSDB-tracked players (n=14,630), 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 rate36.5%42.7%43.8%7.2% short
Shot accuracy4.3%11.2%12.0%7.7% short
Kill/death ratio0.900.991.020.12 short
Match win rate51.2%43.9%44.7%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGaca zglavkarFACEITLevel 4 · 963 ELOSTANDINGTop 81.0% of rankedPREMIER10,000 · Blue bandPEAK ELO963csdb.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

Aim72
Positioning62
Utility46

0–100 skill scores via Leetify.

Recent form

COLD57–41–2Last 10057%Win rateLWLTLLWLLW

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −1.9pp headshot accuracy · +38ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 552ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 577ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 557ms

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 (+1.8 against its own average).

Aim7.2
Utility4.6
Positioning6.2
Opening Duels4.3
Clutch2.4

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

m0NESY

Plays most like m0NESY 92% 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

Strengths

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 71% on T to 44% on CT — first contacts on the defending side are being lost.

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

Aim7.2
Positioning6.2
Utility4.6
Mechanics7.6
Opening Duels6.8
Win Impact7.9

Composite 6.4/10 (Solid), 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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time553ms−4ms
first ⅓ avg 556ms → last ⅓ avg 553ms
Headshot accuracy11.7%+1.5%
first ⅓ avg 10.2% → last ⅓ avg 11.7%

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

0.17Best match rating · 13–6 · anubis, 22 Oct →
23%Best headshot accuracy · 13–16 · dust2, 22 Oct →
273msFastest reaction time · 6–0 · anubis, 16 Oct →
13–2Biggest win · cache, 22 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 68% over 25dust2Weakest map · 50% over 16
MapGradePlayedRecordWin rateAvg rating
anubisA2514–1156%0.03
mirageS2517–868%0.02
dust2B168–850%0.02
infernoB126–650%0.01
ancientB105–550%0.00
nukeA74–357%0.00
cacheA53–260%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,308Lifetime kills
0.90K/D
1,442Matches
51.2%Match win rate · Top 10% of Level 4 players
36.5%Headshot %
4.3%Shot accuracy
2,516MVPs
562Hours (in match)
984Bombs planted
227Bombs defused

Most-used weapons

Lifetime map wins

3,364dust2
1,358inferno
780nuke
255assault
218militia
206office
174train
125vertigo

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

Faceit stats

Combat

35Matches
49%Win rate
0.91Avg K/D
77.8ADR
36%Headshot %

Clutches & streaks

32%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1030%0.7913.2
Dust2944%1.0115.9
Inferno650%0.8414.8
Anubis580%1.1713.6
Ancient250%0.8113.5
Overpass10%0.509.0
Cache1100%1.2719.0
Nuke1100%0.8125.0

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.

11.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.7%Spray accuracy
84.2%Counter-strafing
9.7°Preaim
549msReaction time
70.8%T opening success
44.3%CT opening success
0.59Enemies flashed / flash
11.6%Flash assists
6.23HE damage / grenade
3.82Flashes / 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 11.6908% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8169 — below the 4 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0113%26 Oct →
ancient13–60.0316%26 Oct →
dust211–130.029%24 Oct →
anubis15–150.1712%24 Oct →
anubis5–130.0413%23 Oct →
anubis8–13-0.037%23 Oct →
dust213–100.018%23 Oct →
anubis10–13-0.0411%23 Oct →
mirage5–130.0215%23 Oct →
nuke13–100.045%23 Oct →
mirage4–13-0.0411%23 Oct →
dust213–16-0.0023%22 Oct →
anubis13–60.1712%22 Oct →
mirage13–9-0.0213%22 Oct →
dust26–13-0.078%22 Oct →
mirage13–6-0.009%22 Oct →
anubis5–130.0214%22 Oct →
anubis13–50.1514%22 Oct →
cache13–20.0413%22 Oct →
ancient13–11-0.0212%22 Oct →
inferno13–100.0711%21 Oct →
dust213–30.0414%21 Oct →
cache11–13-0.059%21 Oct →
mirage13–80.0311%21 Oct →
inferno13–80.089%21 Oct →
mirage13–20.0113%21 Oct →
mirage13–90.0613%21 Oct →
inferno11–13-0.0110%21 Oct →
ancient10–80.048%21 Oct →
anubis13–80.0412%21 Oct →
nuke5–13-0.0510%21 Oct →
inferno9–130.0615%21 Oct →
anubis16–130.0812%21 Oct →
inferno8–13-0.1317%20 Oct →
dust210–13-0.0514%20 Oct →
mirage10–13-0.066%20 Oct →
cache13–70.015%20 Oct →
anubis8–130.0712%20 Oct →
dust27–130.0411%20 Oct →
mirage13–10-0.0321%19 Oct →
ancient13–6-0.0216%19 Oct →
inferno13–50.097%19 Oct →
nuke13–80.042%19 Oct →
dust213–40.0615%19 Oct →
mirage16–14-0.0213%19 Oct →
anubis13–30.027%19 Oct →
inferno13–10-0.0010%19 Oct →
nuke12–16-0.038%19 Oct →
mirage6–130.0413%19 Oct →
cache15–150.047%19 Oct →
inferno7–13-0.0310%19 Oct →
anubis13–9-0.008%18 Oct →
mirage13–30.0610%18 Oct →
inferno5–13-0.104%18 Oct →
ancient11–13-0.127%18 Oct →
nuke22–20-0.028%18 Oct →
anubis13–8-0.0413%17 Oct →
mirage9–130.009%17 Oct →
anubis13–110.156%17 Oct →
dust213–9-0.0018%17 Oct →
anubis0–13-0.0618%17 Oct →
anubis8–130.039%17 Oct →
mirage1–13-0.0321%17 Oct →
mirage13–7-0.048%17 Oct →
anubis13–30.0514%17 Oct →
cache13–90.0311%17 Oct →
inferno13–110.0312%17 Oct →
inferno13–100.0219%16 Oct →
mirage13–7-0.014%16 Oct →
anubis13–9-0.0218%16 Oct →
inferno13–160.0211%16 Oct →
anubis6–00.0219%16 Oct →
mirage13–40.1411%16 Oct →
dust213–80.1112%16 Oct →
mirage13–60.1111%16 Oct →
dust213–5-0.0613%15 Oct →
dust213–160.0113%15 Oct →
ancient1–130.016%15 Oct →
nuke13–11-0.029%15 Oct →
mirage13–80.1612%15 Oct →
dust213–100.038%14 Oct →
ancient13–110.067%14 Oct →
dust213–90.066%14 Oct →
anubis4–130.019%14 Oct →
anubis13–100.065%14 Oct →
mirage16–130.0814%14 Oct →
mirage13–90.0512%14 Oct →
ancient2–130.0213%14 Oct →
dust211–13-0.034%13 Oct →
dust29–130.079%13 Oct →
nuke2–130.067%12 Oct →
mirage4–13-0.0713%12 Oct →
anubis13–80.029%12 Oct →
mirage13–40.0914%12 Oct →
ancient11–130.0010%11 Oct →
mirage8–130.0611%11 Oct →
anubis16–12-0.004%11 Oct →
mirage13–100.037%11 Oct →
anubis7–13-0.037%11 Oct →
ancient8–13-0.0110%11 Oct →

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 →

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