Brooksie

Brooksie — CS2 Stats

GB76561197990226294[U:1:29960566]Steam profile ↗✓ No bans

881Tracked matches54%Win rate2022Tracked since
3,706Hours in CS5Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating14,680Blue band · top ~30.1% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (9 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: 14,680 -748 15 Jul – 23 Oct · 11 days played
14,31416,623peak 16,62315 Jul23 Oct
16,623Peak Premier in tracked matches
16Days played since 2026-07-08

Premier CS Rating

  • 1,943 below peak (16,623)
  • -796 over 90 days
  • Next: Purple band at 15,000 — 320 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate35.0%41.3%41.8%6.8% short
Shot accuracy14.2%12.7%12.2%above
Kill/death ratio1.020.950.98above
Match win rate45.0%42.6%43.3%above

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

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBrooksieFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER14,680 · 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

Aim49
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWLWLTWLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +0.4pp headshot accuracy · +10ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 598ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 639ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 634ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim4.9
Utility5.2
Positioning4.8
Opening Duels1.5

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

iM

Plays most like iM 77% 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. 633ms 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

Aim4.9
Positioning4.8
Utility5.2
Mechanics7.2
Opening Duels1.7
Win Impact6.2

Composite 4.8/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time634ms−3ms
first ⅓ avg 637ms → last ⅓ avg 634ms
Headshot accuracy15.3%−0.3%
first ⅓ avg 15.5% → last ⅓ avg 15.3%

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

0.38Best match rating · 9–0 · overpass, 17 Jul →
32%Best headshot accuracy · 6–13 · mirage, 25 Sept →
477msFastest reaction time · 15–15 · ancient, 23 Jul →
13–2Biggest win · inferno, 24 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
13–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 50% over 16ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
anubisC177–1041%-0.01
infernoB168–850%-0.00
ancientC166–1038%-0.02
cacheB168–850%-0.02
mirageB136–746%0.00
dust2B105–550%-0.00
nukeB84–450%-0.00
vertigo—11–0100%0.20
poseidon—11–0100%0.12
overpass—11–0100%0.38
train—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,518Lifetime kills
1.02K/D · Top 50% of Level 2 players
5,131Matches
45.0%Match win rate · Top 50% of Level 2 players
35.0%Headshot %
14.2%Shot accuracy · Top 50% of Level 2 players
9,111MVPs
2,311Hours (in match)
4,994Bombs planted
932Bombs defused

Most-used weapons

AK-4731,563
AWP10,525
FAMAS2,866
P2501,936
P901,883

Lifetime map wins

10,093dust2
8,899inferno
5,057nuke
2,151train
1,593cbble
523vertigo
348office
298aztec

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.0%Headshot accuracy
29.1%Accuracy (enemy spotted)
30.0%Spray accuracy
82.4%Counter-strafing
10.0°Preaim
633msReaction time
32.4%T opening success
41.2%CT opening success
0.48Enemies flashed / flash
4.0%Flash assists
14.04HE damage / grenade
6.68Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4799 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 32.3748% — below the 40% mark we flag

Spend your practice time on Ancient

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 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–7-0.0713%23 Oct →
anubis13–8-0.0111%23 Oct →
inferno1–13-0.106%23 Oct →
dust213–40.1019%23 Oct →
dust210–13-0.047%23 Oct →
ancient15–15-0.049%23 Oct →
cache13–9-0.0222%23 Oct →
dust26–13-0.0915%25 Sept →
mirage6–13-0.0932%25 Sept →
mirage11–13-0.0013%5 Sept →
ancient11–13-0.049%5 Sept →
anubis8–130.0517%5 Sept →
inferno13–11-0.0412%31 Jul →
dust213–8-0.0414%31 Jul →
cache13–110.0313%31 Jul →
inferno5–130.1016%31 Jul →
mirage13–5-0.028%28 Jul →
nuke11–13-0.0111%28 Jul →
cache13–8-0.0328%24 Jul →
inferno13–20.0415%24 Jul →
anubis13–40.0216%24 Jul →
nuke7–13-0.0112%24 Jul →
anubis9–13-0.0717%24 Jul →
inferno13–110.0019%24 Jul →
ancient13–5-0.0119%24 Jul →
cache6–13-0.065%24 Jul →
anubis13–6-0.017%24 Jul →
mirage13–100.0228%24 Jul →
ancient15–150.0116%23 Jul →
dust210–130.0322%23 Jul →
ancient13–70.0116%23 Jul →
mirage13–80.0314%23 Jul →
nuke16–130.0323%23 Jul →
inferno1–13-0.0213%23 Jul →
cache8–13-0.0212%23 Jul →
dust26–13-0.0411%23 Jul →
anubis2–13-0.0411%23 Jul →
dust213–110.0311%23 Jul →
ancient7–12-0.0322%23 Jul →
nuke13–11-0.0312%23 Jul →
mirage7–130.0311%23 Jul →
anubis7–13-0.0413%23 Jul →
mirage4–130.0117%23 Jul →
dust213–110.0223%23 Jul →
mirage13–11-0.0015%23 Jul →
inferno5–20.0832%23 Jul →
mirage13–10-0.0020%22 Jul →
dust213–40.0419%22 Jul →
ancient9–130.027%22 Jul →
anubis13–9-0.034%22 Jul →
cache6–13-0.0723%22 Jul →
nuke11–130.0221%22 Jul →
ancient13–11-0.0610%22 Jul →
anubis5–13-0.0616%22 Jul →
anubis13–9-0.0617%19 Jul →
cache11–13-0.067%19 Jul →
inferno9–13-0.0114%19 Jul →
ancient9–13-0.0417%19 Jul →
nuke13–10-0.0026%19 Jul →
anubis13–40.1422%19 Jul →
ancient8–13-0.0415%17 Jul →
cache11–13-0.0421%17 Jul →
anubis14–16-0.0213%17 Jul →
cache13–10-0.0311%17 Jul →
vertigo9–30.2024%17 Jul →
poseidon9–10.1230%17 Jul →
overpass9–00.387%17 Jul →
anubis2–13-0.0113%16 Jul →
mirage13–60.0610%16 Jul →
inferno11–13-0.0315%16 Jul →
ancient13–100.0118%16 Jul →
cache8–13-0.0217%16 Jul →
ancient11–130.0526%15 Jul →
inferno5–13-0.0222%15 Jul →
inferno13–10-0.0221%15 Jul →
anubis10–130.027%15 Jul →
mirage14–16-0.0120%15 Jul →
mirage8–13-0.027%15 Jul →
mirage15–150.0123%15 Jul →
inferno13–110.0216%15 Jul →
anubis6–13-0.0917%15 Jul →
anubis9–13-0.050%14 Jul →
nuke15–150.0317%14 Jul →
inferno13–11-0.0313%14 Jul →
cache13–10-0.0215%14 Jul →
cache6–13-0.0614%14 Jul →
dust27–13-0.0420%14 Jul →
cache13–80.0216%13 Jul →
ancient5–13-0.0912%13 Jul →
inferno13–80.003%13 Jul →
ancient13–110.0413%13 Jul →
cache4–13-0.0122%13 Jul →
cache16–140.0313%9 Jul →
inferno8–13-0.0224%9 Jul →
ancient6–13-0.0625%9 Jul →
anubis13–30.0012%9 Jul →
inferno9–13-0.0215%9 Jul →
cache16–140.0012%9 Jul →
train8–13-0.0316%8 Jul →
ancient13–3-0.0119%8 Jul →

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.