Bromie

Bromie — CS2 Stats

DK76561198040390064[U:1:80124336]Steam profile ↗✓ No bans

1,970Tracked matches27%Win rate2020Tracked since
CSDB Rating3.4 LearningPositional Player
Premier CS Rating4,007Grey band · top ~83% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (8 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: 4,007 -669 14 Aug – 20 Oct · 30 days played
4,0075,269peak 5,26914 Aug20 Oct
Faceit ELO: 782 +0 28 Aug – 25 Sept · 10 observations
782782peak 78228 Aug25 Sept
5,369Peak Premier in tracked matches
782Highest Faceit ELO seen on CSDB
26Days played since 2026-08-07

Faceit ELO

  • At peak — 782
  • 0 over 30 days · steady
  • Next: Level 4 at 901 — 119 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-28
  • Level 2 first seen 2026-08-28

Premier CS Rating

  • 1,262 below peak (5,269)
  • -769 over 30 days · declining
  • Next: Light Blue band at 5,000 — 993 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGBromiePREMIER4,007 · Grey band30 DAYS0 ELOPEAK ELO782csdb.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

Aim41
Positioning53
Utility16

0–100 skill scores via Leetify.

Recent form

COLD35–63–2Last 10035%Win rateWWLLWLLLLL

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating · −4.3pp headshot accuracy · −4ms 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 -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 659ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 642ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 644ms

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 (+2.8 against its own average).

Aim4.1
Utility1.6
Positioning5.3
Opening Duels2.0
Clutch1.2

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

donk

Plays most like donk 77% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 664ms 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

Aim4.1
Positioning5.3
Utility1.6
Mechanics6.0
Opening Duels3.2
Win Impact0.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time673ms+9ms
first ⅓ avg 664ms → last ⅓ avg 673ms
Headshot accuracy13.0%+1.5%
first ⅓ avg 11.4% → last ⅓ avg 13.0%

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 · 9–3 · debris, 16 Sept →
31%Best headshot accuracy · 12–12 · vertigo, 25 Sept →
422msFastest reaction time · 13–5 · inferno, 21 Sept →
13–2Biggest win · nuke, 10 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
5–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 53% over 15cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
ancientC228–1436%-0.01
nukeC198–1142%-0.01
infernoB158–753%0.01
anubisC104–640%-0.04
cacheD81–713%-0.01
mirageD62–433%-0.04
dust2D61–517%-0.02
vertigoD51–420%-0.04
poseidon—21–150%-0.07
overpass—20–20%-0.02
boulder—10–10%-0.07
office—10–10%-0.05
train—10–10%-0.03
debris—11–0100%0.23
eldorado—10–10%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

199Matches
47%Win rate
0.79Avg K/D
70.7ADR
35%Headshot %

Clutches & streaks

26%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno4650%0.8013.1
Ancient3155%0.8613.2
Nuke2552%0.8813.0
Anubis2335%0.6911.7
Overpass1457%0.8412.6
Train1145%0.9012.2
Cache743%0.9613.4
Vertigo475%1.0616.5

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.

13.2%Headshot accuracy
32.7%Accuracy (enemy spotted)
32.4%Spray accuracy
77.2%Counter-strafing
11.8°Preaim
664msReaction time
43.4%T opening success
42.3%CT opening success
0.15Enemies flashed / flash
3.6%Flash assists
13.13HE damage / grenade
1.06Flashes / 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 13.221% — below the 15% mark we flag

    Aim Training →
  2. 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 0.1481 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0511%20 Oct →
ancient13–6-0.0110%20 Oct →
ancient7–13-0.0415%20 Oct →
nuke6–13-0.029%20 Oct →
mirage13–9-0.026%20 Oct →
ancient11–13-0.067%16 Oct →
nuke5–130.0113%16 Oct →
boulder9–13-0.078%16 Oct →
anubis4–13-0.0213%16 Oct →
ancient9–13-0.0210%16 Oct →
anubis4–13-0.1513%16 Oct →
vertigo13–5-0.0819%16 Oct →
office4–13-0.056%16 Oct →
poseidon4–9-0.0910%13 Oct →
anubis9–13-0.099%13 Oct →
dust22–13-0.1010%13 Oct →
ancient3–13-0.1117%13 Oct →
nuke13–9-0.0316%13 Oct →
nuke9–13-0.0919%12 Oct →
ancient3–13-0.0827%12 Oct →
dust29–130.0317%12 Oct →
nuke8–13-0.0411%9 Oct →
inferno14–160.0213%9 Oct →
nuke9–130.0115%9 Oct →
anubis13–80.0330%9 Oct →
dust23–13-0.0416%9 Oct →
dust28–13-0.037%6 Oct →
dust213–80.0710%6 Oct →
nuke9–130.0316%6 Oct →
inferno6–13-0.0420%2 Oct →
nuke16–140.0412%2 Oct →
mirage8–13-0.0710%30 Sept →
mirage10–13-0.076%30 Sept →
nuke7–13-0.1013%25 Sept →
overpass3–13-0.0617%25 Sept →
nuke10–130.017%25 Sept →
train4–13-0.0318%25 Sept →
vertigo12–120.0131%25 Sept →
cache11–130.0612%25 Sept →
inferno13–100.0914%25 Sept →
vertigo0–9-0.140%22 Sept →
inferno13–50.1220%21 Sept →
anubis13–9-0.109%21 Sept →
nuke4–13-0.0812%21 Sept →
ancient13–110.0114%21 Sept →
inferno11–13-0.035%21 Sept →
anubis10–13-0.0614%18 Sept →
cache1–13-0.059%18 Sept →
ancient13–8-0.0223%18 Sept →
mirage13–100.0010%18 Sept →
vertigo5–130.0018%18 Sept →
dust24–13-0.0410%18 Sept →
anubis13–80.0711%16 Sept →
ancient4–13-0.0612%16 Sept →
nuke4–90.039%16 Sept →
debris9–30.2316%16 Sept →
eldorado6–90.019%16 Sept →
poseidon9–7-0.0511%16 Sept →
vertigo3–13-0.029%12 Sept →
cache5–13-0.0416%12 Sept →
overpass12–120.0215%12 Sept →
ancient13–60.0515%11 Sept →
cache10–13-0.0120%10 Sept →
nuke13–20.0219%10 Sept →
ancient9–130.0511%10 Sept →
ancient6–130.0420%10 Sept →
inferno13–8-0.0214%7 Sept →
nuke13–8-0.0216%4 Sept →
ancient13–4-0.012%4 Sept →
nuke5–13-0.0314%4 Sept →
inferno13–9-0.0113%4 Sept →
ancient8–130.0211%4 Sept →
ancient11–130.0510%4 Sept →
anubis6–13-0.0310%4 Sept →
nuke16–14-0.0210%1 Sept →
anubis13–4-0.0214%1 Sept →
inferno7–13-0.039%1 Sept →
inferno9–130.0119%1 Sept →
cache13–8-0.0220%29 Aug →
nuke13–5-0.057%29 Aug →
ancient7–130.044%29 Aug →
mirage6–13-0.059%29 Aug →
anubis8–13-0.023%29 Aug →
ancient13–90.0512%26 Aug →
nuke13–30.0715%26 Aug →
cache10–130.0017%26 Aug →
ancient9–20.0612%26 Aug →
inferno5–13-0.027%26 Aug →
ancient9–13-0.0514%19 Aug →
cache2–13-0.089%19 Aug →
nuke13–70.017%19 Aug →
ancient3–13-0.037%15 Aug →
mirage7–13-0.0510%15 Aug →
ancient11–13-0.049%15 Aug →
inferno13–70.0816%14 Aug →
inferno13–7-0.0323%14 Aug →
cache9–130.0712%14 Aug →
inferno13–9-0.0314%10 Aug →
ancient13–3-0.018%10 Aug →
inferno3–130.0313%7 Aug →

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 →

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