Brown sugar

Brown sugar — CS2 Stats

PK76561198185718737[U:1:225453009]Steam profile ↗✓ No bans

617Tracked matches57%Win rate2020Tracked since
CSDB Rating7.0 StrongAll-Rounder
Premier CS Rating23,206Top 25% of 211,308 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#40986 of 258231 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (4 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: 23,206 +6,788 5 Apr – 24 Oct · 34 days played
13,78823,206peak 23,2065 Apr24 Oct
23,206Peak Premier in tracked matches
55Days played since 2025-04-05

Premier CS Rating

  • At peak — 23,206
  • Next: Red band at 25,000 — 1,794 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGBrown sugarFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,206 · Pink 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

Aim76
Positioning70
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateWWLWLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +5.1pp headshot accuracy · −28ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 509ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 524ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 538ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.6
Utility6.0
Positioning7.0
Opening Duels6.2

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

m0NESY

Plays most like m0NESY 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 571ms 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

Aim7.6
Positioning7.0
Utility6.0
Mechanics6.7
Opening Duels5.8
Win Impact7.2

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.04
first ⅓ avg 0.07 → last ⅓ avg 0.04
Reaction time560ms−50ms
first ⅓ avg 610ms → last ⅓ avg 560ms
Headshot accuracy19.6%−4.7%
first ⅓ avg 24.3% → last ⅓ avg 19.6%

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

0.23Best match rating · 13–7 · ancient, 30 Apr →
75%Best headshot accuracy · 1–13 · mirage, 1 May →
391msFastest reaction time · 11–13 · inferno, 22 Oct →
13–0Biggest win · anubis, 27 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
5–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 72% over 18infernoWeakest map · 50% over 22
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%0.06
nukeS1813–572%0.06
anubisA169–756%0.05
ancientB126–650%0.07
mirageA127–558%0.05
dust2A95–456%0.02
cache—44–0100%0.07
overpass—43–175%0.05
train—30–30%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

187Matches
62%Win rate
1.34Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

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.

20.0%Headshot accuracy
39.0%Accuracy (enemy spotted)
40.3%Spray accuracy
80.4%Counter-strafing
11.7°Preaim
571msReaction time
53.1%T opening success
53.6%CT opening success
0.59Enemies flashed / flash
10.2%Flash assists
11.65HE damage / grenade
8.59Flashes / match

Recent matches

MapScoreRatingHS%Date
inferno13–20.1526%24 Oct →
cache13–100.0122%24 Oct →
dust26–13-0.0415%24 Oct →
nuke6–10.0730%24 Oct →
dust20–20.000%22 Oct →
dust213–70.0617%22 Oct →
inferno11–13-0.0421%22 Oct →
cache13–30.1331%21 Oct →
ancient11–130.0625%21 Oct →
inferno13–100.0722%20 Oct →
mirage13–100.019%20 Oct →
anubis13–70.0325%19 Oct →
ancient8–130.0213%19 Oct →
cache16–130.0816%19 Oct →
inferno4–13-0.0310%19 Oct →
dust211–130.0013%18 Oct →
inferno3–13-0.058%18 Oct →
mirage4–130.027%18 Oct →
dust213–50.0520%18 Oct →
mirage13–20.0938%17 Oct →
cache13–70.0515%17 Oct →
nuke0–13-0.0824%17 Oct →
dust213–80.0427%17 Oct →
inferno13–90.0719%14 Oct →
inferno13–60.1919%25 May →
anubis8–13-0.0115%25 May →
mirage7–13-0.0042%22 May →
ancient9–130.1028%22 May →
nuke13–70.0112%7 May →
inferno13–80.0122%7 May →
overpass13–90.0715%3 May →
mirage13–100.0425%3 May →
inferno6–130.0117%3 May →
nuke13–60.0118%3 May →
overpass13–30.0916%3 May →
inferno13–50.1221%29 Apr →
mirage13–80.0321%29 Apr →
nuke13–110.0716%29 Apr →
ancient7–130.0113%29 Apr →
nuke13–80.0824%27 Apr →
anubis13–00.0160%27 Apr →
overpass15–150.0117%23 Apr →
inferno3–13-0.098%21 Apr →
nuke13–60.0521%21 Apr →
anubis13–70.0928%20 Apr →
dust213–80.0127%20 Apr →
nuke12–160.0013%7 Apr →
anubis11–130.0624%7 Apr →
nuke9–130.1412%17 Mar →
anubis8–13-0.0123%17 Mar →
overpass16–140.0317%17 Mar →
ancient13–40.0420%11 Mar →
dust214–160.0424%3 Mar →
nuke4–130.0012%3 Mar →
inferno8–130.0319%20 Feb →
mirage13–50.1533%18 Feb →
ancient9–130.0214%16 Feb →
inferno13–50.1018%6 Feb →
anubis13–8-0.0114%22 Jan →
nuke6–130.038%22 Jan →
inferno13–70.2022%8 Dec →
nuke13–50.0016%1 Nov →
ancient13–40.0416%23 Jun →
inferno13–20.2233%23 Jun →
nuke16–140.1732%16 Jun →
nuke13–80.0728%15 Jun →
anubis13–60.1825%15 Jun →
train11–130.0426%15 Jun →
nuke13–30.0616%13 Jun →
inferno13–20.1444%13 Jun →
anubis13–110.0419%12 Jun →
inferno9–130.0232%10 Jun →
anubis13–60.0434%9 Jun →
inferno2–130.0128%9 Jun →
nuke13–30.1913%8 Jun →
mirage14–160.1129%5 Jun →
anubis6–130.0913%4 Jun →
mirage13–40.1029%20 May →
dust213–70.0211%19 May →
anubis10–130.0313%17 May →
nuke13–80.0519%16 May →
mirage1–13-0.0475%1 May →
inferno11–13-0.038%30 Apr →
ancient13–70.2317%30 Apr →
train15–150.0622%26 Apr →
anubis9–13-0.0227%24 Apr →
inferno13–60.0631%20 Apr →
ancient13–30.0820%20 Apr →
nuke13–60.1417%19 Apr →
inferno15–150.1030%18 Apr →
inferno13–160.0627%12 Apr →
mirage13–80.0116%11 Apr →
anubis13–70.1024%11 Apr →
ancient13–110.1220%11 Apr →
mirage10–130.1032%10 Apr →
anubis4–130.0424%7 Apr →
ancient10–130.0813%6 Apr →
ancient13–60.0924%6 Apr →
train8–130.1124%5 Apr →
anubis13–70.1328%5 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.