brunoulis

brunoulis — CS2 Stats

UY76561198153297742[U:1:193032014]Steam profile ↗✓ No bans

688Tracked matches61%Win rate2020Tracked since
8,159Hours in CS
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating12,465Blue band · top ~41.8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 688 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,465 -1,163 16 Sept – 4 Nov · 27 days played
12,46514,624peak 14,62416 Sept4 Nov
14,755Peak Premier in tracked matches
60Days played since 2025-09-11

Premier CS Rating

  • 2,159 below peak (14,624)
  • 0 over 30 days · steady
  • Next: Purple band at 15,000 — 2,535 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 15 Oct 2026 and 14 Nov 2026.

Measured 15 Oct 2026 → 14 Nov 2026; previous 10 Sep 2026 → 15 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate49.9%43.8%44.8%above
Shot accuracy19.0%12.0%12.4%above
Kill/death ratio1.011.021.03meets
Match win rate43.6%44.7%45.2%1.6% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbrunoulisFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,465 · Blue bandcsdb.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

Aim55
Positioning62
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY51–41–8Last 10051%Win rateWWLLWLWWTW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −1.5pp headshot accuracy · −5ms 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 21%
  • Avg reaction 680ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 653ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 655ms

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 (+1.3 against its own average).

Aim5.5
Utility4.4
Positioning6.2
Opening Duels4.2

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

jL

Plays most like jL 85% 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

Areas to improve

Reaction time. 688ms 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

Aim5.5
Positioning6.2
Utility4.4
Mechanics5.4
Opening Duels3.3
Win Impact8.6

Composite 5.3/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time691ms+36ms
first ⅓ avg 655ms → last ⅓ avg 691ms
Headshot accuracy19.3%+1.4%
first ⅓ avg 17.8% → last ⅓ avg 19.3%

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.

Personal bests

0.22Best match rating · 9–3 · nuke, 25 Nov →
41%Best headshot accuracy · 12–12 · dust2, 6 Feb →
469msFastest reaction time · 0–13 · cache, 20 May →
13–1Biggest win · dust2, 13 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 67% over 15nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC2712–1544%0.01
mirageS1510–567%0.00
dust2B136–746%-0.00
overpassA116–555%0.03
ancientA116–555%0.01
nukeC104–640%0.05
cacheB84–450%-0.01
train—32–167%-0.02
vertigo—10–10%-0.00
anubis—11–0100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

154,572Lifetime kills
1.01K/D
4,704Matches
43.6%Match win rate
49.9%Headshot % · Top 25% of Level 5 players
19.0%Shot accuracy · Top 10% of Level 5 players
16,904MVPs
8,159Hours (in match)
4,915Bombs planted
1,269Bombs defused

Most-used weapons

AK-4762,070
AWP15,030
MAC-103,347
P903,170
FAMAS2,508
MP92,481

Lifetime map wins

9,655dust2
7,415inferno
2,576vertigo
1,617train
1,377nuke
769cbble
176lake
148office

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

Faceit stats

Combat

263Matches
50%Win rate
1.37Avg K/D
—ADR
45%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient475%1.5421.0
Mirage450%1.4419.5
Inferno30%0.9715.7
Anubis1100%1.9121.0
Overpass1100%1.2228.0
Vertigo1100%3.1719.0

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.

18.4%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.7%Spray accuracy
74.2%Counter-strafing
9.5°Preaim
688msReaction time
44.0%T opening success
42.2%CT opening success
0.59Enemies flashed / flash
3.9%Flash assists
7.74HE damage / grenade
5.33Flashes / match

Recommended for you

Spend your practice time on Nuke

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0418%22 Jul →
cache13–11-0.0612%11 Jun →
cache8–13-0.0225%27 May →
inferno11–130.0122%26 May →
mirage13–80.0828%20 May →
cache0–13-0.0610%20 May →
inferno13–10-0.0315%13 May →
mirage13–8-0.0223%13 May →
overpass8–80.1818%13 May →
inferno13–110.0613%12 May →
cache13–50.0423%12 May →
inferno8–130.0319%10 May →
cache13–90.0328%10 May →
cache12–12-0.0116%7 May →
cache13–80.0625%6 May →
cache5–13-0.0517%6 May →
ancient13–9-0.0113%26 Apr →
dust28–130.0622%26 Apr →
train13–11-0.0416%23 Apr →
overpass13–4-0.0321%23 Apr →
nuke11–130.0119%21 Apr →
nuke5–130.0622%19 Apr →
inferno12–120.0614%19 Apr →
dust213–6-0.0116%19 Apr →
vertigo7–13-0.0029%18 Apr →
mirage13–11-0.028%18 Apr →
inferno7–13-0.0117%16 Apr →
dust213–1-0.0429%13 Apr →
mirage7–13-0.069%12 Apr →
dust213–90.0610%12 Apr →
dust213–100.0019%6 Apr →
overpass6–130.0128%5 Apr →
inferno12–12-0.0132%1 Apr →
mirage13–90.0924%29 Mar →
dust211–13-0.0124%28 Mar →
mirage13–80.0415%27 Mar →
overpass12–12-0.0313%22 Mar →
dust25–130.0825%19 Mar →
mirage13–10-0.0125%19 Mar →
mirage6–130.0326%16 Mar →
mirage13–80.0214%9 Mar →
mirage13–8-0.099%21 Feb →
dust213–100.0920%21 Feb →
dust210–13-0.0316%11 Feb →
mirage5–130.0118%9 Feb →
dust212–12-0.0341%6 Feb →
anubis13–70.0015%6 Feb →
inferno13–80.0317%7 Dec →
train0–13-0.0713%6 Dec →
ancient5–13-0.1010%6 Dec →
inferno13–50.0512%29 Nov →
overpass5–13-0.0213%29 Nov →
inferno13–4-0.0212%29 Nov →
inferno3–9-0.0710%25 Nov →
nuke8–80.1723%25 Nov →
nuke9–30.2220%25 Nov →
dust25–13-0.0818%23 Nov →
nuke9–13-0.0327%9 Nov →
ancient13–110.0016%9 Nov →
inferno5–130.0727%2 Nov →
overpass13–60.0318%2 Nov →
ancient0–3-0.060%1 Nov →
inferno13–7-0.0017%1 Nov →
inferno6–130.0417%29 Oct →
overpass16–12-0.019%27 Oct →
overpass13–80.0523%27 Oct →
ancient7–130.0116%25 Oct →
inferno10–13-0.0117%25 Oct →
nuke9–13-0.0121%24 Oct →
nuke13–110.0121%24 Oct →
inferno13–6-0.0215%15 Oct →
overpass13–70.0810%13 Oct →
inferno9–13-0.0113%13 Oct →
nuke13–20.0418%7 Oct →
inferno7–130.0311%5 Oct →
inferno9–130.0628%5 Oct →
dust23–13-0.074%5 Oct →
ancient13–50.0122%30 Sept →
mirage5–13-0.0719%30 Sept →
ancient14–160.0423%29 Sept →
inferno13–100.0819%27 Sept →
inferno9–13-0.0017%25 Sept →
ancient14–160.0317%18 Sept →
train13–30.0525%18 Sept →
ancient13–40.0123%17 Sept →
nuke13–100.0314%17 Sept →
mirage13–10.059%16 Sept →
mirage15–150.0422%16 Sept →
mirage13–7-0.0420%15 Sept →
inferno8–13-0.0711%15 Sept →
inferno13–30.0215%14 Sept →
dust213–7-0.0310%14 Sept →
nuke7–13-0.0323%13 Sept →
overpass9–130.0420%13 Sept →
ancient13–50.0825%12 Sept →
inferno13–80.0716%12 Sept →
overpass16–120.0720%11 Sept →
ancient13–60.0925%11 Sept →
inferno7–13-0.0022%11 Sept →
inferno13–90.0314%11 Sept →

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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