brl

brl — CS2 Stats

CZ76561199081867081[U:1:1121601353]Steam profile ↗✓ No bans

5,455Tracked matches63%Win rate2020Tracked since
5,416Hours in CS
CSDB Rating6.3 SolidSupport
FaceitLevel 10 · 2,250 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,250 → 2,250
+60Tracked matches · now 5,455
+3.3ppWin rate · 60.0% → 63.3%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 55 days played since 18 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 26,747 +3,679 18 Jan9 Apr · 17 days played
23,06826,998peak 26,99818 Jan9 Apr
Faceit ELO: 2,250 +0 1 Sept20 Sept · 3 observations
2,2502,250peak 2,2501 Sept20 Sept
26,998Peak Premier in tracked matches
2,250Highest Faceit ELO seen on CSDB
55Days played since 2026-01-18

Faceit ELO

  • At peak — 2,250
  • Next: 2,500 ELO at 2,500 250 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

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 10 among CSDB-tracked players (n=27,259), 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 10 median
Headshot rate43.5%51.0%
Shot accuracy10.7%13.7%
Kill/death ratio0.861.09
Match win rate45.0%48.4%

Share this profile

CSDB.GGbrlFACEITLevel 10 · 2,250 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,250csdb.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

Aim71
Positioning54
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateLLWWLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.9pp headshot accuracy · −91ms reaction

Win rate +10pp 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

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 29%
  • Avg reaction 547ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 549ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 595ms

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: SupportUtility contribution stands above the rest of this profile (+1.1 against its own average).

Aim7.1
Utility5.7
Positioning5.4
Opening Duels3.9
Clutch3.4

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 91% 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. 593ms 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

Aim7.1
Positioning5.4
Utility5.7
Mechanics6.2
Opening Duels3.7
Win Impact9.4

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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time598ms−60ms
first ⅓ avg 658ms → last ⅓ avg 598ms
Headshot accuracy23.6%−5.0%
first ⅓ avg 28.6% → last ⅓ avg 23.6%

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 · 13–9 · mirage, 4 Apr
59%Best headshot accuracy · 9–13 · nuke, 28 Jan
391msFastest reaction time · 0–13 · ancient, 14 Mar
13–2Biggest win · ancient, 29 Mar

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
127In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 67% over 15infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB32171553%0.01
anubisA1710759%0.01
ancientS1510567%0.01
dust2C146843%-0.01
nukeB84450%-0.03
infernoC83538%-0.01
overpass43175%-0.00
vertigo110100%0.01
cache1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

212,062Lifetime kills
0.86K/D
11,152Matches
45.0%Match win rate
43.5%Headshot %
10.7%Shot accuracy
27,021MVPs
5,416Hours (in match)
9,048Bombs planted
4,606Bombs defused

Most-used weapons

AK-4765,834
AWP37,716
Knife6,481
MAC-104,475
MP94,210

Lifetime map wins

22,163inferno
13,508dust2
13,416vertigo
7,551nuke
3,004train
261cbble
208lake
73office

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

Faceit stats

Combat

6,353Matches
50%Win rate
0.99Avg K/D
74.9ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage91751%1.0615.7
Anubis60854%1.0515.3
Ancient58451%1.0315.2
Inferno26448%1.0315.6
Dust221341%0.9814.2
Overpass11959%1.0815.9
Vertigo10453%1.1116.0
Nuke9541%1.0215.4

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.

23.5%Headshot accuracy
31.8%Accuracy (enemy spotted)
32.3%Spray accuracy
77.9%Counter-strafing
8.3°Preaim
593msReaction time
38.3%T opening success
51.6%CT opening success
0.53Enemies flashed / flash
10.9%Flash assists
6.85HE damage / grenade
9.49Flashes / 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 38.2603% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0915%13 Sept
mirage6–13-0.0623%8 Sept
mirage13–70.0547%8 Sept
mirage13–6-0.0138%6 Sept
mirage3–13-0.0820%2 Sept
nuke13–100.0036%2 Sept
dust213–11-0.0422%2 Sept
mirage11–13-0.0433%31 Aug
vertigo13–50.0131%29 Aug
mirage16–14-0.028%29 Aug
dust213–50.0436%28 Aug
anubis19–17-0.0214%18 Aug
anubis6–13-0.0641%16 Aug
dust28–130.0030%14 Aug
mirage6–13-0.0214%14 Aug
inferno16–13-0.0329%11 Aug
anubis13–9-0.079%30 Jul
anubis10–13-0.0130%30 Jul
anubis16–130.0015%25 Jul
mirage10–130.0625%24 Jul
mirage13–11-0.0030%23 Jul
dust27–13-0.0824%23 Jul
anubis13–110.0031%21 Jul
mirage13–60.1128%21 Jul
anubis13–90.0813%18 Jul
nuke22–200.0215%17 Jul
dust213–10-0.0319%12 Jul
mirage3–130.0216%19 Jun
anubis13–90.1218%30 May
anubis5–00.069%19 May
dust26–13-0.0811%17 May
mirage13–100.0620%25 Apr
cache4–13-0.0430%25 Apr
ancient16–120.0523%25 Apr
mirage11–130.0219%18 Apr
mirage9–130.0219%18 Apr
dust211–13-0.0430%9 Apr
ancient13–90.0111%8 Apr
ancient6–130.0239%8 Apr
ancient7–13-0.0917%5 Apr
mirage13–11-0.0320%4 Apr
mirage13–90.1730%4 Apr
ancient13–9-0.0511%3 Apr
ancient13–6-0.0318%3 Apr
mirage7–13-0.0129%3 Apr
nuke13–110.0117%29 Mar
ancient13–20.0315%29 Mar
anubis13–60.0229%29 Mar
inferno8–13-0.0411%27 Mar
inferno14–160.0229%26 Mar
anubis19–220.0015%23 Mar
mirage7–13-0.1019%21 Mar
overpass12–6-0.0021%19 Mar
inferno16–13-0.0318%17 Mar
ancient0–13-0.120%14 Mar
ancient13–50.0515%14 Mar
mirage13–7-0.0018%14 Mar
anubis15–150.0021%14 Mar
mirage16–14-0.0122%13 Mar
anubis3–13-0.0321%13 Mar
inferno13–30.0632%13 Mar
nuke14–16-0.0233%7 Mar
ancient13–110.0042%6 Mar
mirage13–90.0727%27 Feb
ancient10–130.0118%27 Feb
dust217–19-0.0139%26 Feb
anubis8–130.0318%26 Feb
anubis13–100.0516%25 Feb
overpass8–13-0.0328%25 Feb
nuke7–13-0.0048%24 Feb
dust216–130.0140%24 Feb
ancient6–130.0820%24 Feb
anubis13–60.0125%23 Feb
mirage13–110.0530%23 Feb
mirage13–40.0938%23 Feb
dust213–100.0637%23 Feb
inferno4–13-0.0729%23 Feb
nuke3–9-0.2133%23 Feb
dust29–13-0.0218%8 Feb
dust27–130.0432%7 Feb
mirage13–70.1025%31 Jan
inferno11–13-0.0626%29 Jan
ancient13–70.0120%29 Jan
anubis4–13-0.0830%28 Jan
ancient13–100.0123%28 Jan
mirage5–13-0.0240%28 Jan
nuke9–130.0259%28 Jan
mirage13–30.0620%28 Jan
overpass13–90.0424%27 Jan
mirage16–140.0615%27 Jan
mirage13–70.0233%27 Jan
mirage6–13-0.0712%25 Jan
dust216–13-0.0424%25 Jan
nuke13–7-0.0338%25 Jan
dust26–13-0.0223%24 Jan
inferno12–120.0619%24 Jan
mirage5–130.0221%24 Jan
mirage9–13-0.0224%18 Jan
overpass13–8-0.0116%18 Jan
ancient13–40.1553%18 Jan

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →