brue — CS2 Stats

76561199119063019[U:1:1158797291]

612Tracked matches68%Win rate2025Tracked since

996Hours in CS56Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating17,220Purple band · top ~19.6% of ranked players (population est.)

CSDB Leaderboard#10336 of 18134 tracked

FaceitLevel 4 · 888 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning50

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY57–38–5Last 10057%Win rateWWLWLLWLLW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.0

Aggression7.4

Utility4.4

Positioning5.0

Opening Duels2.3

Clutch2.6

Strong CT-side opener

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 ropz 86% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 624ms 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

Aim7.0

Positioning5.0

Utility4.4

Mechanics5.5

Opening Duels2.3

Win Impact10.0

Composite 5.8/10 (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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time619ms−37ms

first ⅓ avg 656ms → last ⅓ avg 619ms

Headshot accuracy23.5%+3.6%

first ⅓ avg 20.0% → last ⅓ avg 23.5%

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

0.16Best rating — cache 13–5

13–1Biggest win — dust2

7Longest win streak

W2Current streak

7–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 78% over 9infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	25	15–10	60%	0.01
dust2	A	18	11–7	61%	0.03
nuke	S	13	9–4	69%	-0.01
ancient	C	11	4–7	36%	0.00
inferno	D	9	3–6	33%	0.01
cache	S	9	7–2	78%	0.04
anubis	D	6	2–4	33%	0.04
train	—	2	1–1	50%	0.04
office	—	2	1–1	50%	-0.03
overpass	—	2	2–0	100%	0.07
vertigo	—	1	1–0	100%	0.02
poseidon	—	1	0–1	0%	-0.15
debris	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,815Lifetime kills

2.71K/D · Top 1% of tracked players

1,132Matches

39.9%Match win rate

81.0%Headshot % · Top 1% of tracked players

0.1%Shot accuracy

2,172MVPs

864Hours (in match)

1,210Bombs planted

397Bombs defused

Most-used weapons

AK-4761,626

P2000 / USP-S7,375

Desert Eagle4,734

M4A4 / M4A1-S4,441

AWP2,568

Galil AR954

Glock-18698

MP9572

FAMAS482

MAC-10313

Lifetime map wins

2,281dust2

1,399nuke

1,295inferno

129vertigo

81train

53office

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

Faceit stats

Combat

324Matches

46%Win rate

1.07Avg K/D

74.9ADR

51%Headshot %

Clutches & streaks

33%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	85	44%	1.04	15.6
Dust2	76	54%	1.00	14.3
Inferno	36	42%	0.98	15.7
Nuke	34	35%	1.30	15.4
Anubis	32	44%	1.07	18.6
Ancient	29	38%	1.03	13.8
Cache	19	63%	1.28	16.7
Overpass	12	58%	1.18	16.8

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.

23.2%Headshot accuracy

37.5%Accuracy (enemy spotted)

38.3%Spray accuracy

74.8%Counter-strafing

11.2°Preaim

624msReaction time

31.0%T opening success

47.5%CT opening success

0.57Enemies flashed / flash

8.3%Flash assists

9.59HE damage / grenade

5.66Flashes / 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 31.0177% — 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 9 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
nuke	13–9	-0.04	29%	28 Aug →
nuke	13–11	-0.01	29%	28 Aug →
train	5–13	-0.01	28%	28 Aug →
nuke	13–4	-0.05	45%	27 Aug →
mirage	4–13	-0.03	20%	27 Aug →
inferno	4–9	-0.00	8%	26 Aug →
cache	13–5	0.16	15%	24 Aug →
anubis	5–13	-0.03	13%	23 Aug →
cache	14–16	0.04	17%	22 Aug →
dust2	13–7	0.03	22%	22 Aug →
office	10–13	-0.03	15%	21 Aug →
nuke	13–6	-0.06	21%	20 Aug →
mirage	2–13	-0.06	47%	20 Aug →
cache	13–9	-0.06	14%	18 Aug →
dust2	13–1	0.03	24%	18 Aug →
mirage	13–3	0.02	31%	17 Aug →
dust2	12–12	-0.07	26%	17 Aug →
inferno	8–13	0.00	19%	17 Aug →
anubis	14–16	-0.01	11%	16 Aug →
cache	13–8	0.04	30%	16 Aug →
mirage	13–11	0.02	18%	16 Aug →
vertigo	13–5	0.02	11%	15 Aug →
ancient	10–13	0.06	23%	15 Aug →
cache	13–7	-0.04	19%	15 Aug →
train	13–9	0.09	36%	14 Aug →
dust2	13–7	0.08	29%	13 Aug →
inferno	13–8	0.03	23%	13 Aug →
ancient	13–7	0.03	26%	12 Aug →
inferno	13–5	0.03	19%	11 Aug →
mirage	15–15	0.03	23%	9 Aug →
nuke	9–5	0.04	33%	8 Aug →
nuke	11–13	0.06	27%	8 Aug →
ancient	13–3	0.01	27%	8 Aug →
inferno	8–13	-0.06	15%	7 Aug →
dust2	13–5	0.10	22%	7 Aug →
mirage	12–12	0.07	17%	6 Aug →
inferno	13–2	0.02	17%	6 Aug →
ancient	13–9	0.02	43%	5 Aug →
cache	13–2	0.15	62%	5 Aug →
ancient	9–13	0.01	19%	5 Aug →
mirage	10–13	0.01	15%	4 Aug →
ancient	4–13	-0.05	34%	2 Aug →
cache	13–7	0.00	21%	2 Aug →
dust2	14–16	-0.02	18%	1 Aug →
mirage	13–11	0.05	10%	1 Aug →
dust2	13–9	0.03	17%	31 Jul →
mirage	13–4	0.03	21%	30 Jul →
mirage	13–7	0.02	27%	29 Jul →
mirage	13–7	0.02	23%	28 Jul →
mirage	13–6	0.01	18%	27 Jul →
mirage	11–13	0.03	25%	26 Jul →
mirage	2–13	-0.01	25%	25 Jul →
ancient	5–13	-0.05	17%	21 Jul →
mirage	13–10	0.01	18%	19 Jul →
mirage	13–7	-0.02	32%	19 Jul →
office	13–5	-0.04	42%	19 Jul →
poseidon	5–9	-0.15	17%	18 Jul →
dust2	3–13	-0.01	15%	17 Jul →
nuke	5–13	-0.01	21%	17 Jul →
cache	9–13	-0.04	23%	16 Jul →
nuke	7–4	-0.05	19%	16 Jul →
mirage	16–14	0.03	20%	15 Jul →
cache	13–2	0.10	21%	12 Jul →
mirage	13–6	0.09	11%	12 Jul →
dust2	13–4	0.06	24%	12 Jul →
dust2	13–8	0.01	24%	11 Jul →
nuke	13–9	-0.00	31%	10 Jul →
dust2	7–13	0.00	24%	9 Jul →
debris	9–7	0.05	21%	9 Jul →
inferno	12–12	0.15	18%	8 Jul →
mirage	10–13	0.02	30%	7 Jul →
anubis	5–13	0.09	13%	6 Jul →
overpass	13–5	0.08	19%	6 Jul →
anubis	9–13	-0.00	18%	6 Jul →
dust2	13–10	-0.00	11%	5 Jul →
ancient	10–13	-0.03	13%	5 Jul →
ancient	10–13	0.01	13%	5 Jul →
mirage	13–10	-0.02	43%	5 Jul →
ancient	13–7	0.04	19%	5 Jul →
dust2	7–13	0.03	13%	3 Jul →
dust2	13–4	0.10	16%	3 Jul →
nuke	8–13	-0.03	23%	2 Jul →
dust2	13–8	0.09	9%	1 Jul →
nuke	13–11	0.01	23%	30 Jun →
mirage	14–16	0.02	20%	30 Jun →
dust2	11–13	-0.06	17%	29 Jun →
overpass	13–6	0.06	29%	28 Jun →
mirage	7–13	0.03	42%	28 Jun →
mirage	13–4	-0.04	35%	28 Jun →
nuke	11–13	-0.04	9%	28 Jun →
anubis	13–8	0.15	18%	27 Jun →
mirage	13–5	-0.05	14%	27 Jun →
nuke	13–8	0.06	19%	27 Jun →
inferno	12–16	-0.04	22%	26 Jun →
inferno	15–15	-0.04	15%	26 Jun →
mirage	13–10	0.05	21%	26 Jun →
anubis	13–10	0.06	12%	25 Jun →
dust2	13–11	0.07	26%	24 Jun →
dust2	10–13	0.04	22%	24 Jun →
ancient	8–13	-0.04	12%	23 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

500 Matches

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

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