Baroc

Baroc — CS2 Stats

76561197977128021[U:1:16862293]Steam profile ↗✓ No bans

1,006Tracked matches39%Win rate2020Tracked since
2,872Hours in CS9Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 4 · 1,039 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,039 → 1,039
+28Tracked matches · now 1,006
−8.9ppWin rate · 48.1% → 39.3%

Rating over time

Premier CS Rating: 19,294 +248 16 Feb – 14 Mar · 8 days played
19,01719,821peak 19,82116 Feb14 Mar
19,821Peak Premier in tracked matches
1,039Highest Faceit ELO seen on CSDB
61Days played since 2026-01-31

Faceit ELO

  • At peak — 1,039
  • Next: Level 5 at 1,051 — 12 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-06
  • Level 3 first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,312), 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 rate32.4%42.7%43.7%11.3% short
Shot accuracy15.2%11.3%12.0%above
Kill/death ratio1.080.991.02above
Match win rate43.8%43.9%44.7%0.9% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot 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.GGBarocFACEITLevel 4 · 1,039 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,039csdb.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

Aim57
Positioning64
Utility62

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateLLWWWLLLLT

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +1.5pp headshot accuracy · +31ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 578ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 592ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 576ms

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).

Aim5.7
Utility6.2
Positioning6.4
Opening Duels4.3
Clutch2.6

Effective flashes

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

donk

Plays most like donk 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 574ms 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

Aim5.7
Positioning6.4
Utility6.2
Mechanics5.1
Opening Duels5.4
Win Impact1.4

Composite 4.8/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time568ms−49ms
first ⅓ avg 617ms → last ⅓ avg 568ms
Headshot accuracy11.4%+0.8%
first ⅓ avg 10.7% → last ⅓ avg 11.4%

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

0.13Best match rating · 13–3 · nuke, 7 Mar →
30%Best headshot accuracy · 13–6 · nuke, 8 Mar →
406msFastest reaction time · 8–13 · ancient, 17 Sept →
13–0Biggest win · cache, 12 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 70% over 10anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientD185–1328%-0.01
mirageC188–1044%-0.01
dust2B168–850%-0.01
infernoA149–564%-0.02
nukeS107–370%-0.02
anubisD61–517%-0.02
cacheD62–433%-0.02
officeB63–350%-0.00
overpass—42–250%-0.03
vertigo—10–10%0.00
train—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,175Lifetime kills
1.08K/D · Top 50% of Level 4 players
4,062Matches
43.8%Match win rate
32.4%Headshot %
15.2%Shot accuracy · Top 50% of Level 4 players
9,981MVPs
1,793Hours (in match)
5,920Bombs planted
1,285Bombs defused

Most-used weapons

AK-4713,570
AWP10,244
P905,579
AUG3,660
P2503,643
SG 5532,922
SSG 082,682

Lifetime map wins

13,774dust2
5,147inferno
2,629nuke
2,174office
1,378train
513italy
422vertigo
406bank

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

Faceit stats

Combat

333Matches
47%Win rate
1.02Avg K/D
79.4ADR
33%Headshot %

Clutches & streaks

33%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4262%1.1516.5
Ancient3738%1.0013.8
Dust23050%1.0215.4
Inferno2540%1.0415.5
Nuke1724%0.8413.8
Overpass1164%0.9815.9
Anubis1164%0.8815.4
Train560%1.1617.0

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.

11.8%Headshot accuracy
36.8%Accuracy (enemy spotted)
38.1%Spray accuracy
73.0%Counter-strafing
11.3°Preaim
574msReaction time
49.8%T opening success
53.7%CT opening success
0.70Enemies flashed / flash
5.0%Flash assists
9.63HE damage / grenade
14.30Flashes / 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 11.8359% — below the 15% mark we flag

    Aim Training →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.039%15 Oct →
ancient11–130.0413%10 Oct →
mirage13–60.1016%6 Oct →
nuke13–7-0.0117%3 Oct →
cache13–11-0.0419%3 Oct →
dust27–13-0.0117%28 Sept →
ancient10–130.006%27 Sept →
dust211–13-0.0313%24 Sept →
ancient9–13-0.017%24 Sept →
mirage12–120.0210%20 Sept →
dust26–13-0.0618%20 Sept →
inferno16–13-0.0112%18 Sept →
dust213–9-0.0812%18 Sept →
cache10–13-0.007%17 Sept →
ancient8–13-0.045%17 Sept →
anubis6–13-0.0410%16 Sept →
mirage17–19-0.0211%13 Sept →
mirage5–13-0.0411%11 Sept →
inferno8–130.027%11 Sept →
mirage13–60.0321%10 Sept →
mirage13–11-0.0412%2 Sept →
nuke13–11-0.0416%1 Sept →
anubis13–90.018%24 Aug →
dust212–120.0217%24 Aug →
dust28–13-0.0017%21 Aug →
inferno13–50.048%21 Aug →
anubis9–13-0.068%18 Aug →
ancient10–13-0.048%18 Aug →
dust213–7-0.0116%17 Aug →
ancient8–13-0.055%17 Aug →
inferno13–8-0.054%16 Aug →
dust213–60.0212%15 Aug →
office13–10.044%14 Aug →
ancient3–13-0.0824%10 Aug →
inferno13–50.009%10 Aug →
mirage13–2-0.005%7 Aug →
nuke6–3-0.0722%7 Aug →
mirage14–16-0.016%2 Aug →
ancient12–120.028%2 Aug →
ancient8–13-0.0315%30 Jul →
mirage9–130.0312%30 Jul →
cache11–13-0.0113%24 Jul →
cache8–13-0.008%12 May →
cache13–00.0210%12 May →
cache12–12-0.069%30 Apr →
mirage9–13-0.049%19 Apr →
dust213–110.0112%18 Apr →
office7–13-0.0317%17 Apr →
anubis13–16-0.028%17 Apr →
dust210–13-0.0113%13 Apr →
ancient10–130.0118%9 Apr →
overpass13–2-0.0314%23 Mar →
dust213–70.0221%23 Mar →
overpass7–13-0.104%20 Mar →
vertigo4–90.0021%20 Mar →
inferno9–6-0.0513%20 Mar →
inferno13–9-0.0217%17 Mar →
train9–130.0118%14 Mar →
mirage7–13-0.0317%14 Mar →
office13–8-0.0620%9 Mar →
nuke13–6-0.0430%8 Mar →
nuke13–30.1317%7 Mar →
ancient13–70.039%7 Mar →
dust210–130.1014%6 Mar →
overpass11–13-0.059%6 Mar →
mirage6–13-0.1115%4 Mar →
ancient8–13-0.0410%3 Mar →
inferno12–120.0111%3 Mar →
ancient9–130.0510%2 Mar →
mirage13–9-0.046%28 Feb →
inferno9–130.015%28 Feb →
inferno13–110.0214%22 Feb →
mirage11–13-0.0216%21 Feb →
inferno13–8-0.038%21 Feb →
nuke9–13-0.054%20 Feb →
inferno13–9-0.037%18 Feb →
mirage13–5-0.0110%17 Feb →
nuke13–8-0.018%17 Feb →
anubis12–120.0312%17 Feb →
dust213–10-0.0211%16 Feb →
mirage13–20.029%16 Feb →
dust213–10-0.0517%16 Feb →
ancient13–5-0.097%16 Feb →
mirage10–13-0.0114%16 Feb →
dust29–13-0.0518%16 Feb →
ancient13–30.069%16 Feb →
inferno2–13-0.1113%14 Feb →
overpass16–140.0613%14 Feb →
dust213–2-0.0514%14 Feb →
nuke2–13-0.0824%14 Feb →
ancient13–30.0311%8 Feb →
office12–120.0212%7 Feb →
nuke13–80.059%5 Feb →
inferno8–13-0.028%3 Feb →
office13–90.0616%3 Feb →
office2–13-0.0413%3 Feb →
mirage13–10-0.029%2 Feb →
nuke5–13-0.050%2 Feb →
ancient16–14-0.006%1 Feb →
ancient6–13-0.058%31 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 →

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