Brøut — CS2 Stats

FR76561198050746487[U:1:90480759]Steam profile ↗✓ No bans

718Tracked matches62%Win rate2023Tracked since

660Hours in CS6Hrs last 2 wks

CSDB Rating4.4 Developing

Premier CS Rating13,939Blue band · top ~34% of ranked players (population est.)

CSDB Leaderboard#12568 of 18729 tracked

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning50

Utility38

0–100 skill scores via Leetify.

Recent form

HOT50–48–2Last 10050%Win rateLLWWWWWLWW

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Aim4.2

Aggression8.0

Utility3.8

Positioning5.0

Opening Duels3.4

Clutch3.6

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 b1t 82% playstyle similarity

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

Where you differ: lower utility contribution; 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. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2

Positioning5.0

Utility3.8

Mechanics3.7

Opening Duels3.4

Win Impact9.0

Composite 4.4/10 (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+0.03

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time638ms−25ms

first ⅓ avg 664ms → last ⅓ avg 638ms

Headshot accuracy15.6%+0.1%

first ⅓ avg 15.4% → last ⅓ avg 15.6%

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.

Highlights

0.11Best rating — poseidon 9–5

13–3Biggest win — ancient

5Longest win streak

L2Current streak

7–13In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 67% over 15overpassWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	20	8–12	40%	-0.02
inferno	A	19	11–8	58%	-0.02
dust2	B	19	10–9	53%	-0.02
anubis	S	15	10–5	67%	-0.03
overpass	D	6	2–4	33%	-0.04
cache	C	5	2–3	40%	-0.02
mirage	—	4	2–2	50%	-0.02
nuke	—	4	2–2	50%	-0.00
poseidon	—	3	2–1	67%	0.02
train	—	3	0–3	0%	-0.04
sanctum	—	1	1–0	100%	0.02
rooftop	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

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

Lifetime stats

13,313Lifetime kills

0.85K/D

941Matches

45.9%Match win rate

45.1%Headshot %

1.0%Shot accuracy

1,543MVPs

381Hours (in match)

1,282Bombs planted

303Bombs defused

Most-used weapons

AK-474,800

M4A4 / M4A1-S2,938

MAC-10791

P2000 / USP-S778

Desert Eagle700

MP9685

Glock-18641

Galil AR523

FAMAS423

AWP325

Lifetime map wins

2,078dust2

1,978inferno

405vertigo

374nuke

314train

13office

12lake

7aztec

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

Faceit stats

Combat

83Matches

55%Win rate

0.79Avg K/D

63.9ADR

48%Headshot %

Clutches & streaks

38%1v1 clutch win

7%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	19	47%	0.76	11.4
Dust2	19	47%	0.69	11.2
Inferno	17	82%	0.91	14.1
Ancient	16	56%	0.93	12.1
Overpass	4	25%	0.50	8.0
Cache	4	25%	0.57	8.5
Mirage	3	67%	0.73	16.0
Train	1	100%	0.93	14.0

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.

15.0%Headshot accuracy

31.8%Accuracy (enemy spotted)

35.1%Spray accuracy

66.8%Counter-strafing

10.7°Preaim

641msReaction time

37.4%T opening success

49.9%CT opening success

0.43Enemies flashed / flash

1.0%Flash assists

7.39HE damage / grenade

3.46Flashes / 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.

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 0.4335 — below the 0.5 mark we flag
Grenade Lineups →
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 37.3743% — below the 40% mark we flag

Spend your practice time on Overpass

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 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	-0.05	13%	21 Aug →
poseidon	7–9	-0.09	19%	16 Aug →
anubis	16–14	-0.03	10%	16 Aug →
anubis	13–7	-0.01	18%	15 Aug →
ancient	13–10	-0.06	10%	15 Aug →
inferno	13–10	-0.10	17%	15 Aug →
anubis	13–6	-0.03	13%	28 Jul →
ancient	11–13	0.00	16%	27 Jul →
anubis	16–13	-0.04	18%	26 Jul →
cache	16–13	-0.02	18%	26 Jul →
ancient	13–3	0.01	16%	26 Jul →
inferno	14–16	-0.01	7%	26 Jul →
ancient	16–14	-0.01	15%	26 Jul →
inferno	13–8	-0.03	12%	26 Jul →
ancient	13–10	0.04	15%	26 Jul →
anubis	11–13	-0.02	14%	26 Jul →
inferno	10–13	-0.01	14%	26 Jul →
anubis	13–6	-0.03	15%	26 Jul →
ancient	4–13	-0.01	11%	26 Jul →
mirage	15–15	-0.05	12%	26 Jul →
poseidon	9–4	0.05	27%	25 Jul →
dust2	16–12	0.01	15%	25 Jul →
dust2	8–13	-0.01	18%	25 Jul →
dust2	7–13	0.02	14%	25 Jul →
inferno	13–4	0.00	16%	25 Jul →
mirage	13–11	0.01	21%	25 Jul →
inferno	4–13	0.01	20%	25 Jul →
nuke	13–7	-0.05	8%	25 Jul →
dust2	13–6	0.03	16%	25 Jul →
inferno	9–13	0.08	14%	25 Jul →
nuke	6–13	-0.00	28%	25 Jul →
nuke	13–7	0.08	20%	25 Jul →
inferno	13–8	0.06	12%	25 Jul →
anubis	14–16	-0.04	17%	22 Jul →
anubis	11–13	-0.03	14%	22 Jul →
dust2	13–8	0.02	16%	22 Jul →
inferno	14–16	-0.01	19%	22 Jul →
cache	10–13	-0.04	21%	20 Jul →
anubis	13–6	0.03	18%	15 Jul →
inferno	13–10	-0.09	17%	15 Jul →
dust2	9–13	-0.04	13%	15 Jul →
anubis	13–11	0.02	12%	15 Jul →
ancient	13–10	-0.00	10%	14 Jul →
ancient	8–13	-0.02	19%	14 Jul →
dust2	8–13	-0.05	20%	13 Jul →
ancient	11–13	-0.05	23%	13 Jul →
anubis	13–11	-0.08	9%	7 Jul →
ancient	13–8	0.01	19%	4 Jul →
overpass	4–13	-0.01	6%	4 Jul →
cache	8–13	-0.04	15%	4 Jul →
dust2	10–13	0.05	19%	4 Jul →
dust2	9–13	-0.07	25%	24 May →
inferno	14–16	-0.06	17%	17 May →
cache	13–3	0.06	18%	17 May →
dust2	13–9	-0.06	11%	26 Apr →
anubis	13–7	-0.07	16%	26 Apr →
inferno	11–13	-0.06	22%	26 Apr →
ancient	8–13	-0.05	14%	22 Feb →
anubis	13–11	0.03	12%	22 Feb →
sanctum	9–5	0.02	12%	21 Feb →
poseidon	9–5	0.11	13%	21 Feb →
inferno	13–5	-0.06	20%	29 Jan →
anubis	3–13	-0.06	9%	29 Jan →
anubis	8–13	-0.04	8%	25 Jan →
ancient	11–13	-0.00	33%	24 Jan →
mirage	6–13	-0.07	23%	24 Jan →
overpass	7–13	-0.09	3%	9 Jan →
inferno	4–13	-0.08	21%	9 Jan →
dust2	16–13	-0.03	20%	9 Jan →
dust2	13–9	-0.04	16%	16 Dec →
inferno	13–10	-0.02	19%	16 Dec →
nuke	6–13	-0.03	15%	15 Dec →
inferno	13–6	0.00	20%	15 Dec →
ancient	13–8	0.02	11%	15 Dec →
inferno	13–4	0.02	19%	15 Dec →
dust2	7–13	-0.08	2%	14 Dec →
inferno	13–6	-0.08	19%	11 Dec →
ancient	13–11	0.01	20%	7 Dec →
inferno	16–12	0.01	24%	2 Dec →
overpass	8–13	-0.01	14%	2 Dec →
rooftop	8–8	-0.12	12%	2 Dec →
dust2	13–10	-0.04	19%	22 Nov →
train	10–13	-0.02	15%	21 Nov →
mirage	13–9	0.01	13%	21 Nov →
dust2	13–6	-0.02	21%	21 Nov →
ancient	10–13	-0.06	10%	20 Nov →
dust2	10–13	-0.09	13%	16 Nov →
dust2	13–7	0.02	20%	16 Nov →
train	8–13	-0.08	14%	15 Nov →
ancient	3–13	-0.03	18%	15 Nov →
overpass	13–7	-0.02	19%	13 Nov →
ancient	11–13	-0.06	18%	13 Nov →
overpass	13–8	-0.04	20%	13 Nov →
ancient	9–13	-0.04	12%	11 Nov →
dust2	5–13	-0.08	8%	10 Nov →
train	4–13	-0.01	14%	10 Nov →
overpass	5–13	-0.05	10%	10 Nov →
ancient	5–13	-0.07	10%	9 Nov →
ancient	11–13	-0.00	11%	9 Nov →
dust2	13–10	0.01	13%	9 Nov →