bren

bren — CS2 Stats

US76561198088715452[U:1:128449724]Steam profile ↗✓ No bans

417Tracked matches62%Win rate2020Tracked since
1,351Hours in CS6Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating14,047Blue band · top ~33.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+644Premier CS Rating · 13,403 → 14,047

Rating over time

Premier CS Rating: 14,047 +580 10 Jun – 8 Oct · 17 days played
11,02914,047peak 14,04710 Jun8 Oct
14,157Peak Premier in tracked matches
36Days played since 2026-06-10

Premier CS Rating

  • At peak — 14,047
  • +895 over 30 days · improving
  • +1,433 over 90 days
  • Next: Purple band at 15,000 — 953 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

MetricLast 30Previous 30Change
Matches29——
Win rate59%——
K/D1.03——
Headshot %45%——

Measured 3 Sep 2026 → 8 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 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 rate43.0%42.0%44.3%1.4% short
Shot accuracy14.1%9.6%11.9%above
Kill/death ratio1.000.981.030.04 short
Match win rate44.6%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGbrenPREMIER14,047 · Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning55
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWWLWLWWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +1.8pp headshot accuracy · +21ms reaction

Win rate down 30pp 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 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 641ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 642ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 632ms

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 (+1.1 against its own average).

Aim5.3
Utility5.7
Positioning5.5
Opening Duels2.6

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

Reaction time. 628ms 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

Aim5.3
Positioning5.5
Utility5.7
Mechanics6.3
Opening Duels2.8
Win Impact9.0

Composite 5.4/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time630ms−51ms
first ⅓ avg 681ms → last ⅓ avg 630ms
Headshot accuracy14.4%+1.2%
first ⅓ avg 13.2% → last ⅓ avg 14.4%

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

0.11Best match rating · 13–10 · cache, 26 Jun →
29%Best headshot accuracy · 13–11 · dust2, 17 Aug →
438msFastest reaction time · 13–11 · inferno, 3 Sept →
13–1Biggest win · dust2, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B3517–1849%-0.01
mirageB1910–953%-0.01
cacheC94–544%0.02
ancientD92–722%-0.02
infernoC94–544%-0.05
nukeC83–538%-0.02
anubisS54–180%0.01
vertigo—22–0100%0.04
overpass—21–150%0.01
train—11–0100%0.10
boulder—10–10%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,094Lifetime kills
1.00K/D · Top 50% of Blue band
1,729Matches
44.6%Match win rate · Top 50% of Blue band
43.0%Headshot % · Top 50% of Blue band
14.1%Shot accuracy · Top 50% of Blue band
3,350MVPs
702Hours (in match)
1,760Bombs planted
406Bombs defused

Most-used weapons

Lifetime map wins

10,411dust2
1,020inferno
573nuke
232train
195vertigo
128bank
102lake
97cbble

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

Faceit stats

Combat

18Matches
50%Win rate
1.05Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

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.

14.5%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.1%Spray accuracy
78.4%Counter-strafing
9.7°Preaim
628msReaction time
35.0%T opening success
47.0%CT opening success
0.68Enemies flashed / flash
7.1%Flash assists
8.02HE damage / grenade
9.43Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.5071% — below the 15% mark we flag

    Aim Training →
  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 35.0161% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0216%8 Oct →
mirage13–60.079%8 Oct →
dust213–5-0.0114%8 Oct →
cache4–130.0217%7 Oct →
nuke13–8-0.0420%2 Oct →
dust211–13-0.0214%2 Oct →
ancient13–50.0313%1 Oct →
mirage13–60.0211%1 Oct →
dust24–13-0.0325%1 Oct →
mirage11–13-0.0311%1 Oct →
dust213–1-0.0117%29 Sept →
mirage13–90.0113%29 Sept →
dust213–11-0.0114%24 Sept →
ancient9–13-0.0610%24 Sept →
vertigo13–10.0310%24 Sept →
vertigo13–20.048%24 Sept →
mirage13–80.0117%22 Sept →
anubis13–2-0.0119%22 Sept →
cache13–70.0313%19 Sept →
anubis9–130.0310%19 Sept →
dust215–15-0.0510%9 Sept →
inferno13–3-0.0213%9 Sept →
dust29–13-0.0014%9 Sept →
mirage13–11-0.098%9 Sept →
nuke7–13-0.0614%9 Sept →
train13–80.1021%7 Sept →
boulder9–13-0.0024%7 Sept →
mirage16–12-0.0415%3 Sept →
ancient7–13-0.0314%3 Sept →
inferno13–11-0.0527%3 Sept →
inferno10–13-0.089%29 Aug →
dust213–100.0515%29 Aug →
dust29–13-0.0314%29 Aug →
mirage13–7-0.019%28 Aug →
dust210–13-0.0414%28 Aug →
dust210–13-0.0119%26 Aug →
inferno4–13-0.136%26 Aug →
nuke13–50.0016%26 Aug →
dust213–5-0.0212%21 Aug →
mirage13–30.059%20 Aug →
mirage7–13-0.0018%20 Aug →
anubis13–50.0217%20 Aug →
dust213–10-0.0410%19 Aug →
anubis13–50.0717%19 Aug →
mirage6–13-0.0114%17 Aug →
dust213–11-0.0529%17 Aug →
nuke12–16-0.0210%17 Aug →
dust213–110.0221%17 Aug →
nuke13–2-0.0329%17 Aug →
mirage10–13-0.0820%17 Aug →
dust28–13-0.0221%17 Aug →
cache13–11-0.0112%13 Aug →
dust213–16-0.0720%13 Aug →
dust213–30.0213%13 Aug →
nuke8–130.028%10 Aug →
dust214–16-0.0612%10 Aug →
inferno6–13-0.0815%10 Aug →
inferno13–40.0116%30 Jul →
cache10–130.019%30 Jul →
mirage4–13-0.058%30 Jul →
dust28–13-0.0617%30 Jul →
mirage10–130.1014%24 Jul →
cache10–13-0.0215%24 Jul →
cache11–13-0.007%23 Jul →
ancient16–14-0.0514%22 Jul →
ancient4–13-0.0313%8 Jul →
ancient11–13-0.085%7 Jul →
dust213–50.0118%7 Jul →
dust213–9-0.0321%1 Jul →
nuke7–13-0.0517%1 Jul →
overpass15–150.028%1 Jul →
dust213–110.0413%29 Jun →
anubis13–10-0.0512%29 Jun →
inferno8–13-0.0510%29 Jun →
cache7–130.0310%27 Jun →
dust211–130.0418%27 Jun →
mirage0–13-0.0414%27 Jun →
dust213–40.1016%27 Jun →
cache13–100.1116%26 Jun →
cache13–10.0110%26 Jun →
mirage13–50.0217%26 Jun →
mirage7–13-0.0511%26 Jun →
inferno6–13-0.0516%26 Jun →
dust213–70.0913%26 Jun →
ancient9–130.029%26 Jun →
dust213–11-0.0215%23 Jun →
overpass16–140.0110%23 Jun →
dust29–13-0.0415%23 Jun →
nuke12–16-0.0110%16 Jun →
inferno13–60.015%16 Jun →
ancient11–130.067%16 Jun →
dust28–130.0515%15 Jun →
dust23–13-0.0515%15 Jun →
mirage13–10-0.026%15 Jun →
mirage4–13-0.0413%14 Jun →
dust27–13-0.0516%14 Jun →
ancient14–16-0.0611%13 Jun →
dust29–13-0.0320%13 Jun →
dust213–9-0.0124%13 Jun →
dust213–80.016%10 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 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.