Brows

Brows — CS2 Stats

76561198200223457[U:1:239957729]Steam profile ↗✓ No bans

735Tracked matches50%Win rate2020Tracked since
3,354Hours in CS
CSDB Rating5.5 SolidPositional Player
Premier CS Rating11,585Blue band · top ~46.5% of ranked players (population est.)
FaceitLevel 6 · 1,220 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 May 2026 (141 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: 11,585 -3,414 27 Oct – 23 May · 6 days played
11,53614,999peak 14,99927 Oct23 May
15,121Peak Premier in tracked matches
1,220Highest Faceit ELO seen on CSDB
38Days played since 2025-10-26

Faceit ELO

  • At peak — 1,220
  • Next: Level 7 at 1,351 — 131 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 3,414 below peak (14,999)
  • Next: Purple band at 15,000 — 3,415 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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 7 Sep 2026 and 11 Oct 2026.

Measured 7 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 6 among CSDB-tracked players (n=12,879), 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 6 medianLevel 7 medianvs Level 7
Headshot rate41.6%44.8%45.7%4.1% short
Shot accuracy17.6%12.4%12.7%above
Kill/death ratio0.911.031.050.14 short
Match win rate43.8%45.2%45.7%1.9% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBrowsFACEITLevel 6 · 1,220 ELOSTANDINGTop 54.0% of rankedPREMIER11,585 · Blue bandPEAK ELO1,220csdb.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

Aim68
Positioning54
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY43–49–8Last 10043%Win rateWLLLLWWLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · −101ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 588ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 565ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 615ms

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 (+1.6 against its own average).

Aim6.8
Utility4.9
Positioning5.4
Opening Duels5.0
Clutch0.0

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 89% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 613ms 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

Aim6.8
Positioning5.4
Utility4.9
Mechanics7.2
Opening Duels3.8
Win Impact5.0

Composite 5.5/10 (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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time604ms−33ms
first ⅓ avg 638ms → last ⅓ avg 604ms
Headshot accuracy15.5%−3.8%
first ⅓ avg 19.3% → last ⅓ avg 15.5%

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

0.12Best match rating · 13–0 · ancient, 15 Nov →
50%Best headshot accuracy · 0–4 · anubis, 2 Apr →
359msFastest reaction time · 10–1 · mirage, 26 Apr →
13–0Biggest win · ancient, 15 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 62% over 21infernoWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%0.01
infernoD185–1328%-0.03
ancientD155–1033%0.02
nukeC135–838%-0.01
overpassC94–544%0.02
dust2D72–529%-0.01
trainD72–529%0.00
cache—43–175%0.04
anubis—32–167%-0.03
vertigo—21–150%-0.02
office—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,158Lifetime kills
0.91K/D
2,997Matches
43.8%Match win rate
41.6%Headshot %
17.6%Shot accuracy · Top 25% of Level 6 players
6,871MVPs
3,354Hours (in match)
3,113Bombs planted
963Bombs defused

Most-used weapons

AK-4725,640
AWP9,536
P2501,498
FAMAS1,020
Knife964

Lifetime map wins

5,484inferno
4,370dust2
1,430train
1,375nuke
1,061vertigo
639cbble
192office
15lake

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

Faceit stats

Combat

412Matches
51%Win rate
1.08Avg K/D
61.4ADR
35%Headshot %

Clutches & streaks

12%1v1 clutch win
8%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage967%0.7712.9
Inferno560%0.7311.8
Ancient540%0.6510.6
Anubis425%0.8915.8
Dust2367%0.8113.0
Vertigo2100%0.8612.0

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.

15.8%Headshot accuracy
34.8%Accuracy (enemy spotted)
39.7%Spray accuracy
82.3%Counter-strafing
9.8°Preaim
613msReaction time
41.5%T opening success
48.5%CT opening success
0.61Enemies flashed / flash
3.1%Flash assists
6.98HE damage / grenade
8.12Flashes / match

Recommended for you

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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10.097%31 Aug →
dust29–13-0.0416%31 Aug →
ancient6–13-0.083%29 Jun →
inferno1–13-0.0931%23 May →
ancient6–130.0317%23 May →
ancient13–30.1114%6 May →
cache3–3-0.0514%5 May →
inferno8–13-0.0131%4 May →
nuke13–60.0117%4 May →
inferno13–70.0921%4 May →
mirage16–140.0512%3 May →
ancient13–10.0618%3 May →
overpass8–13-0.0614%2 May →
overpass15–15-0.0320%2 May →
mirage13–100.0921%1 May →
cache13–100.1124%29 Apr →
cache6–130.0015%29 Apr →
ancient5–130.0214%26 Apr →
overpass6–130.0111%26 Apr →
nuke13–4-0.0712%26 Apr →
nuke12–120.038%26 Apr →
mirage10–10.0825%26 Apr →
nuke13–60.0511%26 Apr →
anubis13–9-0.0113%24 Apr →
nuke14–160.0114%23 Apr →
nuke13–6-0.0513%23 Apr →
inferno2–13-0.0324%20 Apr →
mirage10–130.0211%17 Apr →
inferno8–130.0020%17 Apr →
inferno9–13-0.0211%13 Apr →
mirage13–70.009%11 Apr →
inferno8–13-0.0613%11 Apr →
mirage6–13-0.0410%5 Apr →
nuke13–160.0110%5 Apr →
dust210–130.0115%5 Apr →
overpass15–15-0.0312%5 Apr →
overpass13–50.055%5 Apr →
inferno6–13-0.0119%5 Apr →
inferno0–13-0.0414%2 Apr →
anubis0–4-0.0550%2 Apr →
mirage13–40.0014%18 Jan →
ancient4–13-0.0017%24 Dec →
nuke1–60.0013%24 Dec →
inferno2–9-0.1443%16 Dec →
inferno3–9-0.1822%16 Dec →
ancient12–120.0516%27 Nov →
ancient10–130.0714%19 Nov →
mirage13–8-0.0638%18 Nov →
nuke3–13-0.0721%18 Nov →
inferno13–7-0.0111%18 Nov →
ancient7–13-0.0317%18 Nov →
dust27–130.0018%17 Nov →
ancient11–13-0.0121%16 Nov →
vertigo13–100.0424%16 Nov →
ancient10–13-0.0215%15 Nov →
office13–7-0.0221%15 Nov →
mirage13–40.0125%15 Nov →
inferno13–90.0226%15 Nov →
dust212–12-0.0225%15 Nov →
mirage13–7-0.0319%15 Nov →
ancient8–13-0.0116%15 Nov →
ancient13–00.1215%15 Nov →
mirage11–13-0.0415%15 Nov →
mirage4–130.0116%15 Nov →
nuke10–13-0.0118%14 Nov →
dust213–4-0.026%14 Nov →
anubis13–3-0.0311%14 Nov →
ancient13–00.0215%14 Nov →
mirage9–13-0.0214%14 Nov →
inferno9–13-0.0117%14 Nov →
train12–12-0.0214%14 Nov →
inferno13–8-0.055%13 Nov →
overpass7–130.0217%9 Nov →
mirage13–6-0.006%8 Nov →
mirage13–7-0.079%8 Nov →
train5–13-0.0119%7 Nov →
mirage13–70.0624%7 Nov →
mirage13–30.0932%7 Nov →
vertigo12–12-0.0723%7 Nov →
train7–30.0244%7 Nov →
inferno5–13-0.0828%5 Nov →
dust26–13-0.0420%2 Nov →
nuke13–80.0822%2 Nov →
overpass13–8-0.0231%2 Nov →
train11–130.0623%28 Oct →
nuke11–13-0.0223%28 Oct →
mirage10–130.0425%28 Oct →
inferno13–80.0418%28 Oct →
mirage13–50.0426%27 Oct →
mirage6–13-0.043%27 Oct →
overpass13–70.1118%27 Oct →
ancient13–10-0.0017%27 Oct →
train3–13-0.0311%27 Oct →
overpass13–100.0816%26 Oct →
mirage8–13-0.0710%26 Oct →
dust213–40.0313%26 Oct →
inferno7–13-0.0319%26 Oct →
train0–7-0.0350%26 Oct →
nuke12–12-0.0413%26 Oct →
train13–110.0413%26 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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