Brommert

Brommert — CS2 Stats

NL76561198329940482[U:1:369674754]Steam profile ↗✓ No bans

266Tracked matches53%Win rate2023Tracked since
979Hours in CS3Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating17,330Purple band · top ~19.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (6 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: 17,330 +691 2 Mar – 24 Oct · 37 days played
16,49920,115peak 20,1152 Mar24 Oct
20,115Peak Premier in tracked matches
56Days played since 2026-03-02

Premier CS Rating

  • 2,785 below peak (20,115)
  • Next: Pink band at 20,000 — 2,670 to go
  • Reached: Pink band · Purple band · 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 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 rate48.1%44.4%46.9%above
Shot accuracy11.9%11.9%13.0%1.1% short
Kill/death ratio0.991.031.080.09 short
Match win rate40.8%45.2%46.7%5.9% short

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

Widest gap: Match win 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.GGBrommertPREMIER17,330 · Purple bandcsdb.gg/stats

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Performance scores

Aim84
Positioning52
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWWWLWWLWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +11.6pp headshot accuracy · −34ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 541ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 538ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 555ms

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 (+1.6 against its own average).

Aim8.4
Utility3.4
Positioning5.2
Opening Duels2.2

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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 553ms 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

Aim8.4
Positioning5.2
Utility3.4
Mechanics7.6
Opening Duels2.1
Win Impact6.1

Composite 6.0/10 (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 rating-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time562ms−28ms
first ⅓ avg 591ms → last ⅓ avg 562ms
Headshot accuracy22.1%+2.3%
first ⅓ avg 19.9% → last ⅓ avg 22.1%

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

0.22Best match rating · 13–5 · anubis, 20 Mar →
47%Best headshot accuracy · 13–0 · train, 16 Oct →
391msFastest reaction time · 13–9 · inferno, 5 Oct →
13–0Biggest win · train, 16 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
8–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%0.00
infernoC207–1335%-0.00
cacheB1910–953%-0.00
ancientC146–843%-0.00
dust2S64–267%0.00
nukeS54–180%0.02
anubis—42–250%0.03
overpass—31–233%-0.04
vertigo—11–0100%-0.02
train—11–0100%0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,471Lifetime kills
0.99K/D
1,468Matches
40.8%Match win rate
48.1%Headshot % · Top 50% of Purple band
11.9%Shot accuracy · Top 50% of Purple band
2,861MVPs
738Hours (in match)
1,454Bombs planted
257Bombs defused

Most-used weapons

Lifetime map wins

2,117inferno
1,573dust2
677nuke
600vertigo
179train
56office
22assault
19cbble

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.

20.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.0%Spray accuracy
84.0%Counter-strafing
7.8°Preaim
553msReaction time
39.2%T opening success
37.3%CT opening success
0.52Enemies flashed / flash
3.2%Flash assists
10.17HE damage / grenade
3.85Flashes / 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 3.8451 — below the 4 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 39.1566% — below the 40% mark we flag

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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10.0133%24 Oct →
anubis13–20.0123%24 Oct →
vertigo13–4-0.0220%17 Oct →
cache9–13-0.0332%17 Oct →
cache13–30.0334%16 Oct →
train13–00.1347%16 Oct →
dust29–130.0129%6 Oct →
inferno13–90.0315%5 Oct →
cache7–130.0022%5 Oct →
inferno3–9-0.0735%5 Oct →
mirage9–130.0311%13 Sept →
ancient13–5-0.0118%13 Sept →
ancient13–100.0115%10 Sept →
inferno8–13-0.0322%8 Sept →
mirage4–130.0116%7 Sept →
inferno16–140.0212%7 Sept →
mirage14–16-0.0125%3 Sept →
mirage7–1-0.0222%3 Sept →
mirage2–4-0.0522%3 Sept →
mirage13–11-0.0413%2 Sept →
mirage5–13-0.0718%2 Sept →
anubis5–13-0.076%24 Aug →
cache9–13-0.0515%18 Aug →
nuke13–5-0.0313%18 Aug →
inferno3–13-0.0547%18 Aug →
inferno1–13-0.0536%18 Aug →
cache13–11-0.0115%15 Aug →
inferno13–80.0320%11 Aug →
inferno16–140.029%11 Aug →
nuke13–70.0620%9 Aug →
ancient7–13-0.0423%9 Aug →
cache13–10-0.0118%1 Aug →
mirage13–10.0625%23 Jul →
mirage9–13-0.0520%21 Jul →
mirage4–13-0.0613%16 Jul →
ancient2–13-0.0713%25 Jun →
mirage11–13-0.0318%25 Jun →
cache10–13-0.0120%21 Jun →
inferno9–13-0.0324%21 Jun →
ancient8–13-0.0113%20 Jun →
mirage13–10.1218%20 Jun →
mirage14–16-0.0315%19 Jun →
inferno15–150.0423%19 Jun →
inferno8–13-0.0823%16 Jun →
mirage13–30.0636%16 Jun →
cache12–12-0.0318%16 Jun →
cache13–6-0.0227%15 Jun →
mirage16–14-0.0137%14 Jun →
mirage8–13-0.0915%12 Jun →
inferno2–13-0.040%12 Jun →
mirage9–13-0.0510%30 May →
dust213–3-0.0413%29 May →
mirage13–70.0929%29 May →
cache13–40.0611%26 May →
cache6–130.0116%25 May →
cache13–80.0120%25 May →
inferno6–13-0.0414%23 May →
mirage7–130.0223%23 May →
overpass13–10-0.0324%22 May →
ancient13–60.0512%18 May →
ancient0–80.0225%18 May →
inferno9–130.0218%18 May →
mirage10–13-0.0713%18 May →
inferno2–13-0.0316%17 May →
inferno13–70.0222%17 May →
nuke13–80.0922%17 May →
ancient13–8-0.0221%12 May →
dust26–13-0.028%11 May →
ancient10–13-0.0525%11 May →
anubis9–13-0.0315%11 May →
mirage13–10.0515%11 May →
cache13–70.0232%11 May →
dust213–11-0.0220%4 May →
dust213–2-0.0126%4 May →
cache13–80.0018%2 May →
cache9–13-0.0521%2 May →
cache5–13-0.0320%30 Apr →
mirage13–11-0.0116%30 Apr →
cache13–90.0212%29 Apr →
cache12–120.0220%29 Apr →
mirage13–20.0918%24 Apr →
ancient11–130.0815%24 Apr →
ancient8–13-0.0819%19 Apr →
mirage11–130.0119%17 Apr →
mirage13–30.0435%2 Apr →
mirage10–13-0.0411%26 Mar →
inferno11–130.0715%20 Mar →
anubis13–50.2222%20 Mar →
overpass5–13-0.0516%19 Mar →
inferno13–100.0212%19 Mar →
nuke1–13-0.0623%19 Mar →
inferno10–130.0617%17 Mar →
ancient13–80.0712%17 Mar →
ancient8–13-0.0526%14 Mar →
inferno13–110.0627%10 Mar →
nuke13–70.0620%10 Mar →
overpass13–16-0.0325%9 Mar →
mirage10–130.0720%8 Mar →
dust213–100.0926%4 Mar →
ancient13–10.0531%2 Mar →

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 →

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