Brommert — CS2 Stats

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

245Tracked matches39%Win rate2023Tracked since

960Hours in CS4Hrs last 2 wks

CSDB Rating5.2 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim78

Positioning47

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLLWLLWWWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.8

Aggression3.6

Utility4.6

Positioning4.7

Opening Duels1.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 86% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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 31 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. 554ms 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

Aim7.8

Positioning4.7

Utility4.6

Mechanics6.6

Opening Duels1.2

Win Impact1.4

Composite 5.2/10 (Developing), 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-0.01−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time553ms−31ms

first ⅓ avg 584ms → last ⅓ avg 553ms

Headshot accuracy19.3%−0.4%

first ⅓ avg 19.8% → last ⅓ avg 19.3%

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.

Highlights

0.22Best rating — anubis 13–5

13–1Biggest win — mirage

5Longest win streak

L2Current streak

9–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 75% over 8infernoWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	28	14–14	50%	0.01
inferno	D	18	6–12	33%	0.01
cache	B	15	8–7	53%	-0.00
ancient	D	12	4–8	33%	-0.00
dust2	S	8	6–2	75%	0.01
anubis	C	7	3–4	43%	0.03
nuke	S	7	5–2	71%	0.01
overpass	C	5	2–3	40%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,911Lifetime kills

0.99K/D

1,429Matches

40.5%Match win rate

47.9%Headshot % · Top 50% of tracked players

12.1%Shot accuracy · Top 50% of tracked players

2,784MVPs

720Hours (in match)

1,426Bombs planted

255Bombs defused

Most-used weapons

AK-479,639

M4A4 / M4A1-S4,729

AWP3,909

Desert Eagle3,345

P2000 / USP-S2,048

Glock-181,113

Galil AR415

MP9372

SSG 08334

FAMAS280

Lifetime map wins

2,060inferno

1,564dust2

677nuke

578vertigo

166train

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.

19.3%Headshot accuracy

33.8%Accuracy (enemy spotted)

36.5%Spray accuracy

79.9%Counter-strafing

7.7°Preaim

554msReaction time

28.1%T opening success

39.7%CT opening success

0.54Enemies flashed / flash

4.3%Flash assists

12.72HE damage / grenade

5.60Flashes / 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.

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 28.083% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	5–13	-0.07	6%	24 Aug →
cache	9–13	-0.05	15%	18 Aug →
nuke	13–5	-0.03	13%	18 Aug →
inferno	3–13	-0.05	47%	18 Aug →
inferno	1–13	-0.05	36%	18 Aug →
cache	13–11	-0.01	15%	15 Aug →
inferno	13–8	0.03	20%	11 Aug →
inferno	16–14	0.02	9%	11 Aug →
nuke	13–7	0.06	20%	9 Aug →
ancient	7–13	-0.04	23%	9 Aug →
cache	13–10	-0.01	18%	1 Aug →
mirage	13–1	0.06	25%	23 Jul →
mirage	9–13	-0.05	20%	21 Jul →
mirage	4–13	-0.06	13%	16 Jul →
ancient	2–13	-0.07	13%	25 Jun →
mirage	11–13	-0.03	18%	25 Jun →
cache	10–13	-0.01	20%	21 Jun →
inferno	9–13	-0.03	24%	21 Jun →
ancient	8–13	-0.01	13%	20 Jun →
mirage	13–1	0.12	18%	20 Jun →
mirage	14–16	-0.03	15%	19 Jun →
inferno	15–15	0.04	23%	19 Jun →
inferno	8–13	-0.08	23%	16 Jun →
mirage	13–3	0.06	36%	16 Jun →
cache	12–12	-0.03	18%	16 Jun →
cache	13–6	-0.02	27%	15 Jun →
mirage	16–14	-0.01	37%	14 Jun →
mirage	8–13	-0.09	15%	12 Jun →
inferno	2–13	-0.04	0%	12 Jun →
mirage	9–13	-0.05	10%	30 May →
dust2	13–3	-0.04	13%	29 May →
mirage	13–7	0.09	29%	29 May →
cache	13–4	0.06	11%	26 May →
cache	6–13	0.01	16%	25 May →
cache	13–8	0.01	20%	25 May →
inferno	6–13	-0.04	14%	23 May →
mirage	7–13	0.02	23%	23 May →
overpass	13–10	-0.03	24%	22 May →
ancient	13–6	0.05	12%	18 May →
ancient	0–8	0.02	25%	18 May →
inferno	9–13	0.02	18%	18 May →
mirage	10–13	-0.07	13%	18 May →
inferno	2–13	-0.03	16%	17 May →
inferno	13–7	0.02	22%	17 May →
nuke	13–8	0.09	22%	17 May →
ancient	13–8	-0.02	21%	12 May →
dust2	6–13	-0.02	8%	11 May →
ancient	10–13	-0.05	25%	11 May →
anubis	9–13	-0.03	15%	11 May →
mirage	13–1	0.05	15%	11 May →
cache	13–7	0.02	32%	11 May →
dust2	13–11	-0.02	20%	4 May →
dust2	13–2	-0.01	26%	4 May →
cache	13–8	0.00	18%	2 May →
cache	9–13	-0.05	21%	2 May →
cache	5–13	-0.03	20%	30 Apr →
mirage	13–11	-0.01	16%	30 Apr →
cache	13–9	0.02	12%	29 Apr →
cache	12–12	0.02	20%	29 Apr →
mirage	13–2	0.09	18%	24 Apr →
ancient	11–13	0.08	15%	24 Apr →
ancient	8–13	-0.08	19%	19 Apr →
mirage	11–13	0.01	19%	17 Apr →
mirage	13–3	0.04	35%	2 Apr →
mirage	10–13	-0.04	11%	26 Mar →
inferno	11–13	0.07	15%	20 Mar →
anubis	13–5	0.22	22%	20 Mar →
overpass	5–13	-0.05	16%	19 Mar →
inferno	13–10	0.02	12%	19 Mar →
nuke	1–13	-0.06	23%	19 Mar →
inferno	10–13	0.06	17%	17 Mar →
ancient	13–8	0.07	12%	17 Mar →
ancient	8–13	-0.05	26%	14 Mar →
inferno	13–11	0.06	27%	10 Mar →
nuke	13–7	0.06	20%	10 Mar →
overpass	13–16	-0.03	25%	9 Mar →
mirage	10–13	0.07	20%	8 Mar →
dust2	13–10	0.09	26%	4 Mar →
ancient	13–1	0.05	31%	2 Mar →
mirage	13–7	0.02	19%	25 Feb →
mirage	13–7	0.06	29%	12 Feb →
mirage	13–9	0.09	19%	12 Feb →
mirage	2–13	-0.01	16%	11 Feb →
dust2	13–4	0.07	26%	11 Feb →
dust2	13–11	0.09	21%	11 Feb →
mirage	6–13	-0.06	30%	11 Feb →
mirage	14–16	-0.00	21%	3 Feb →
dust2	3–13	-0.05	17%	3 Feb →
inferno	11–13	0.05	18%	30 Jan →
overpass	16–14	0.02	15%	30 Jan →
nuke	13–5	0.03	19%	30 Jan →
nuke	3–13	-0.05	8%	30 Jan →
anubis	3–13	0.05	14%	26 Jan →
anubis	10–13	0.05	15%	26 Jan →
mirage	13–6	0.05	15%	26 Jan →
anubis	13–5	0.02	11%	25 Jan →
overpass	4–13	-0.00	19%	25 Jan →
inferno	13–9	0.06	25%	24 Jan →
mirage	16–14	0.06	23%	24 Jan →
anubis	13–9	-0.02	17%	22 Jan →