FaZe Brukk

FaZe Brukk — CS2 Stats

AU76561199068866886[U:1:1108601158]Steam profile ↗✓ No bans

763Tracked matches53%Win rate2025Tracked since
987Hours in CS31Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating12,182Blue band · top ~43.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 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: 12,182 +2,298 17 Jul – 5 Oct · 30 days played
9,19413,608peak 13,60817 Jul5 Oct
13,608Peak Premier in tracked matches
39Days played since 2026-07-16

Premier CS Rating

  • 1,426 below peak (13,608)
  • -677 over 30 days · declining
  • +2,298 over 90 days
  • Next: Purple band at 15,000 — 2,818 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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate38.7%42.0%44.3%5.7% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio0.860.981.030.17 short
Match win rate48.5%43.8%45.2%above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFaZe BrukkPREMIER12,182 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning47
Utility45

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateWWWWLWLWLW

Last 10 vs previous 10: 0pp win rate · −0.07 avg rating · −4.5pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 591ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 588ms

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 (+2.1 against its own average).

Aim4.2
Utility4.5
Positioning4.7
Opening Duels1.4
Clutch0.0

Limited utility dependence

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

NiKo

Plays most like NiKo 75% 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

CT openings. Opening success drops from 52% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning4.7
Utility4.5
Mechanics3.0
Opening Duels3.0
Win Impact6.1

Composite 4.0/10 (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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time590ms−105ms
first ⅓ avg 695ms → last ⅓ avg 590ms
Headshot accuracy18.1%+4.1%
first ⅓ avg 13.9% → last ⅓ avg 18.1%

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

0.31Best match rating · 5–1 · rush_001, 30 Sept →
36%Best headshot accuracy · 11–13 · dust2, 21 Sept →
461msFastest reaction time · 8–13 · nuke, 30 Sept →
13–1Biggest win · ancient, 3 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
9–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

rush_001Best map · 83% over 6anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2915–1452%-0.01
dust2C156–940%-0.03
infernoB137–654%-0.02
ancientA116–555%0.01
nukeS96–367%0.02
cacheB84–450%0.01
rush_001S65–183%0.05
anubisD62–433%0.02
vertigo—21–150%0.05
train—11–0100%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,439Lifetime kills
0.86K/D
1,201Matches
48.5%Match win rate · Top 25% of Blue band
38.7%Headshot %
0.0%Shot accuracy
1,682MVPs
432Hours (in match)
788Bombs planted
313Bombs defused

Most-used weapons

Lifetime map wins

1,663dust2
1,573nuke
783inferno
631train
352vertigo
21office

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

Faceit stats

Combat

1Matches
0%Win rate
0.50Avg K/D
48.0ADR
25%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

17.1%Headshot accuracy
29.0%Accuracy (enemy spotted)
31.0%Spray accuracy
63.5%Counter-strafing
9.7°Preaim
590msReaction time
51.9%T opening success
32.1%CT opening success
0.58Enemies flashed / flash
8.1%Flash assists
8.21HE damage / grenade
2.85Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8458 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.0617% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–50.0015%9 Oct →
mirage13–60.0111%6 Oct →
dust213–10-0.0415%5 Oct →
mirage13–9-0.0416%5 Oct →
inferno4–13-0.0512%5 Oct →
inferno12–8-0.035%2 Oct →
ancient6–130.0015%2 Oct →
dust213–11-0.0712%2 Oct →
rush_0011–5-0.0825%2 Oct →
rush_0017–3-0.0129%2 Oct →
rush_0018–60.0725%2 Oct →
nuke8–13-0.046%30 Sept →
nuke13–100.0829%30 Sept →
rush_0018–70.1624%30 Sept →
rush_0015–10.3130%30 Sept →
rush_0018–6-0.1225%30 Sept →
mirage13–100.0317%28 Sept →
dust211–13-0.0115%28 Sept →
mirage13–10-0.0311%23 Sept →
dust210–13-0.0317%21 Sept →
nuke13–20.0524%21 Sept →
mirage1–13-0.0213%21 Sept →
dust211–130.0036%21 Sept →
mirage8–13-0.0320%20 Sept →
dust23–13-0.0517%20 Sept →
dust213–4-0.0120%20 Sept →
mirage13–11-0.0218%20 Sept →
dust213–70.0327%20 Sept →
mirage11–13-0.0318%20 Sept →
inferno13–10-0.0119%18 Sept →
anubis10–13-0.0520%18 Sept →
dust24–13-0.068%17 Sept →
inferno13–10-0.030%17 Sept →
mirage6–13-0.049%17 Sept →
mirage7–130.0632%16 Sept →
anubis13–40.0533%16 Sept →
nuke13–80.1124%16 Sept →
ancient12–120.0126%14 Sept →
mirage13–8-0.0114%14 Sept →
dust216–140.0220%10 Sept →
nuke13–16-0.0617%10 Sept →
mirage13–20.0510%10 Sept →
ancient13–60.0815%10 Sept →
mirage8–13-0.0215%9 Sept →
inferno13–60.0223%7 Sept →
mirage2–13-0.0711%6 Sept →
mirage10–130.0010%4 Sept →
inferno13–40.0412%3 Sept →
ancient13–10.0413%3 Sept →
mirage13–110.0215%3 Sept →
cache6–30.0027%3 Sept →
ancient4–13-0.0018%2 Sept →
mirage10–13-0.0417%2 Sept →
ancient13–8-0.0413%31 Aug →
dust213–60.0717%31 Aug →
dust26–13-0.0319%31 Aug →
dust24–13-0.1211%23 Aug →
inferno4–13-0.1016%23 Aug →
mirage13–70.0515%23 Aug →
mirage13–80.0313%23 Aug →
mirage4–13-0.0930%22 Aug →
mirage13–30.0118%22 Aug →
nuke13–50.0321%22 Aug →
nuke13–11-0.0121%19 Aug →
train13–10.0424%18 Aug →
ancient13–80.0217%14 Aug →
mirage13–6-0.0228%14 Aug →
mirage10–130.0215%11 Aug →
inferno13–16-0.0222%10 Aug →
dust27–13-0.0819%10 Aug →
ancient9–130.0211%6 Aug →
vertigo13–40.0310%2 Aug →
vertigo9–130.0721%2 Aug →
inferno5–7-0.0211%28 Jul →
cache13–90.0313%28 Jul →
inferno13–9-0.0217%27 Jul →
anubis12–120.058%27 Jul →
anubis1–100.079%23 Jul →
anubis13–60.0715%23 Jul →
cache13–11-0.0017%21 Jul →
mirage13–80.039%21 Jul →
cache13–90.0412%20 Jul →
mirage6–130.000%19 Jul →
cache8–130.0517%19 Jul →
inferno6–13-0.0018%18 Jul →
mirage13–90.0117%18 Jul →
cache4–13-0.0522%18 Jul →
nuke13–80.0823%17 Jul →
ancient7–13-0.0314%17 Jul →
anubis9–13-0.0711%17 Jul →
mirage13–6-0.0118%17 Jul →
ancient13–90.0210%17 Jul →
mirage3–13-0.0211%16 Jul →
cache9–13-0.0210%16 Jul →
dust29–13-0.0314%16 Jul →
ancient13–10.023%16 Jul →
mirage5–130.0023%16 Jul →
cache7–130.0114%16 Jul →
nuke7–13-0.0418%16 Jul →
inferno15–15-0.0611%16 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.