BigBrick316☭

BigBrick316☭ — CS2 Stats

LU76561198326320792[U:1:366055064]Steam profile ↗✓ No bans

1,101Tracked matches54%Win rate2020Tracked since
3,300Hours in CS17Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating16,843Purple band · top ~21.1% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,101 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 23 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,843 +1,865 23 Jul – 24 Sept · 17 days played
14,88016,880peak 16,88023 Jul24 Sept
16,880Peak Premier in tracked matches
34Days played since 2026-07-23

Premier CS Rating

  • 37 below peak (16,880)
  • +327 over 30 days · steady
  • Next: Pink band at 20,000 — 3,157 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-24
  • Blue band first seen 2026-09-24

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 20 Sep 2026 and 26 Sep 2026.

Measured 20 Sep 2026 → 26 Sep 2026; previous 12 Sep 2026 → 20 Sep 2026.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches54——
Win rate41%——
K/D1.28——
Headshot %38%——

Measured 29 Aug 2026 → 26 Sep 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate34.5%44.3%46.9%12.4% short
Shot accuracy15.7%11.8%13.0%above
Kill/death ratio1.311.031.08above
Match win rate43.7%45.2%46.7%2.9% short

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

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

Share this profile

CSDB.GGBigBrick316☭PREMIER16,843 · Purple 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

Aim78
Positioning71
Utility61

0–100 skill scores via Leetify.

Recent form

COLD49–37–14Last 10049%Win rateTTLTTLLWWW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · −85ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–1–4 · 0% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 10%
  • Avg reaction 444ms

Last 10

  • 3–3–4 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 480ms

Last 20

  • 8–7–5 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 522ms

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 against its own average).

Aim7.8
Utility6.1
Positioning7.1
Opening Duels5.2

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

jL

Plays most like jL 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 →

CSDB Rating breakdown

Aim7.8
Positioning7.1
Utility6.1
Mechanics5.8
Opening Duels5.7
Win Impact6.4

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time500ms−73ms
first ⅓ avg 573ms → last ⅓ avg 500ms
Headshot accuracy14.6%+2.3%
first ⅓ avg 12.3% → last ⅓ avg 14.6%

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

0.20Best match rating · 13–7 · office, 25 Jul →
37%Best headshot accuracy · 3–13 · office, 7 Sept →
367msFastest reaction time · 13–9 · office, 29 Aug →
13–0Biggest win · office, 10 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 67% over 15infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeB6027–3345%0.05
dust2S1510–567%0.04
mirageS96–367%0.05
infernoD72–529%-0.02
ancient—42–250%0.01
anubis—31–233%-0.00
cache—21–150%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,034Lifetime kills
1.31K/D · Top 10% of Purple band
4,364Matches
43.7%Match win rate
34.5%Headshot %
15.7%Shot accuracy · Top 25% of Purple band
13,597MVPs
1,758Hours (in match)
3,527Bombs planted
1,171Bombs defused

Most-used weapons

AK-4717,481
AWP16,863
SSG 086,885
XM10144,593
MAG-73,416
P902,926

Lifetime map wins

16,881dust2
3,636office
2,117inferno
1,584vertigo
388train
333nuke
276cbble
129safehouse

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.

13.1%Headshot accuracy
39.4%Accuracy (enemy spotted)
44.9%Spray accuracy
76.0%Counter-strafing
10.5°Preaim
500msReaction time
50.7%T opening success
55.2%CT opening success
0.54Enemies flashed / flash
8.3%Flash assists
15.33HE damage / grenade
6.73Flashes / 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 13.1143% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office12–12-0.020%18 Sept →
office12–120.053%17 Sept →
office6–130.0513%17 Sept →
office12–120.1016%17 Sept →
office12–120.0216%17 Sept →
office10–130.0415%17 Sept →
office9–130.1418%16 Sept →
office13–8-0.037%16 Sept →
office13–50.0427%16 Sept →
ancient13–11-0.028%16 Sept →
dust213–80.0715%16 Sept →
ancient13–40.0916%16 Sept →
mirage4–13-0.1113%16 Sept →
dust213–70.0413%16 Sept →
office13–3-0.0417%14 Sept →
office12–12-0.017%14 Sept →
office11–130.0410%14 Sept →
mirage13–10.1321%13 Sept →
mirage6–130.0517%13 Sept →
mirage11–130.029%13 Sept →
office4–50.1427%13 Sept →
office12–120.0115%13 Sept →
office10–130.056%12 Sept →
office13–20.0920%12 Sept →
office7–130.0018%12 Sept →
office13–5-0.010%11 Sept →
office13–6-0.0311%11 Sept →
office13–40.038%11 Sept →
office9–130.0633%11 Sept →
office13–4-0.0210%10 Sept →
office13–10-0.0126%10 Sept →
office13–00.0433%10 Sept →
office12–120.1513%9 Sept →
office13–110.065%9 Sept →
ancient7–130.0118%9 Sept →
office10–130.0511%8 Sept →
office7–130.0813%7 Sept →
office3–13-0.0637%7 Sept →
office13–50.040%7 Sept →
office11–130.0219%2 Sept →
office13–30.027%1 Sept →
office12–12-0.0012%1 Sept →
office12–12-0.028%1 Sept →
office8–13-0.0525%1 Sept →
office12–120.116%31 Aug →
inferno6–130.0116%31 Aug →
anubis6–130.0411%31 Aug →
office13–40.1022%30 Aug →
office13–40.1414%30 Aug →
office13–6-0.0414%30 Aug →
dust213–90.0916%30 Aug →
office7–80.1323%30 Aug →
office13–90.0116%29 Aug →
dust213–20.1612%29 Aug →
office13–30.1526%25 Aug →
anubis5–13-0.0413%25 Aug →
office12–120.058%25 Aug →
office13–60.1324%25 Aug →
office13–60.019%24 Aug →
office12–120.1114%24 Aug →
dust210–13-0.0217%23 Aug →
office7–13-0.0420%23 Aug →
inferno5–9-0.0125%23 Aug →
inferno8–8-0.0510%23 Aug →
office12–120.0623%21 Aug →
office13–50.1014%21 Aug →
mirage13–110.0913%21 Aug →
office13–90.069%19 Aug →
mirage13–50.0217%17 Aug →
office0–13-0.0516%17 Aug →
inferno13–11-0.036%14 Aug →
dust213–100.109%14 Aug →
mirage13–30.157%12 Aug →
ancient4–13-0.0413%12 Aug →
cache13–70.026%12 Aug →
inferno13–90.0618%11 Aug →
anubis13–11-0.0012%11 Aug →
dust26–13-0.0020%10 Aug →
cache10–130.1015%10 Aug →
inferno10–13-0.0718%10 Aug →
dust20–13-0.064%7 Aug →
office13–110.1016%7 Aug →
inferno6–9-0.0913%6 Aug →
dust213–100.0415%28 Jul →
dust213–70.0512%27 Jul →
office10–130.0513%27 Jul →
mirage13–60.0212%26 Jul →
dust213–70.0816%26 Jul →
office13–20.0210%25 Jul →
office10–130.0211%25 Jul →
office13–70.2012%25 Jul →
dust213–16-0.035%24 Jul →
mirage13–60.0810%24 Jul →
office13–10.157%24 Jul →
office8–130.129%24 Jul →
office9–13-0.0013%24 Jul →
office13–70.088%24 Jul →
dust213–30.0914%23 Jul →
dust213–20.0312%23 Jul →
dust21–6-0.0529%23 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →