Brm — CS2 Stats

76561197969149374[U:1:8883646]Steam profile ↗✓ No bans

8,218Tracked matches38%Win rate2022Tracked since

CSDB Rating3.5 Learning

Premier CS Rating18,242Purple band · top ~15.5% of ranked players (population est.)

CSDB Leaderboard#7405 of 13668 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim47

Positioning22

Utility55

0–100 skill scores via Leetify.

Recent form

COLD39–51–10Last 10039%Win rateLWLLLLLWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim4.7

Aggression2.2

Utility5.5

Positioning2.2

Opening Duels0.0

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 NiKo 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 35% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms 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

Aim4.7

Positioning2.2

Utility5.5

Mechanics4.6

Opening Duels0.6

Win Impact1.2

Composite 3.5/10 (Learning), 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-0.05−0.02

first ⅓ avg -0.03 → last ⅓ avg -0.05

Reaction time646ms−74ms

first ⅓ avg 721ms → last ⅓ avg 646ms

Headshot accuracy12.2%−4.6%

first ⅓ avg 16.8% → last ⅓ avg 12.2%

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 — inferno 9–2

13–0Biggest win — dust2

4Longest win streak

6–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 67% over 15nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	25	8–17	32%	-0.05
mirage	D	16	5–11	31%	-0.04
inferno	S	15	10–5	67%	-0.03
nuke	D	11	3–8	27%	-0.04
cache	C	10	4–6	40%	-0.04
train	D	6	2–4	33%	-0.04
anubis	D	6	2–4	33%	-0.04
ancient	C	5	2–3	40%	-0.02
vertigo	—	4	1–3	25%	-0.11
overpass	—	2	2–0	100%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

366Matches

48%Win rate

0.77Avg K/D

63.9ADR

39%Headshot %

Clutches & streaks

38%1v1 clutch win

14%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	59	46%	0.79	11.4
Ancient	58	47%	0.88	11.4
Anubis	53	57%	0.79	11.8
Mirage	47	45%	0.73	11.6
Dust2	31	52%	0.70	10.5
Nuke	28	54%	0.77	11.2
Inferno	18	39%	0.63	10.3
Overpass	8	38%	0.86	12.9

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.

12.1%Headshot accuracy

31.1%Accuracy (enemy spotted)

34.4%Spray accuracy

70.6%Counter-strafing

8.1°Preaim

643msReaction time

17.6%T opening success

34.6%CT opening success

0.75Enemies flashed / flash

4.9%Flash assists

7.22HE damage / grenade

6.34Flashes / 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.

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 12.1227% — below the 15% mark we flag
Aim Training →
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 17.6469% — below the 40% mark we flag

Spend your practice time on Nuke

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	10–13	-0.05	10%	28 Aug →
dust2	13–0	-0.07	14%	28 Aug →
vertigo	6–13	-0.12	10%	28 Aug →
nuke	9–13	-0.12	5%	28 Aug →
cache	8–13	-0.05	16%	28 Aug →
dust2	6–13	-0.02	13%	27 Aug →
mirage	4–13	-0.02	11%	27 Aug →
cache	13–8	-0.03	15%	27 Aug →
ancient	7–13	-0.03	3%	27 Aug →
inferno	13–6	-0.06	15%	27 Aug →
mirage	13–9	-0.06	2%	25 Aug →
dust2	8–13	-0.02	15%	25 Aug →
train	11–13	-0.04	19%	25 Aug →
inferno	13–3	-0.02	5%	24 Aug →
anubis	4–13	-0.07	4%	24 Aug →
dust2	6–13	-0.13	0%	24 Aug →
nuke	5–13	-0.05	12%	24 Aug →
ancient	7–13	-0.07	14%	24 Aug →
inferno	7–13	-0.09	7%	24 Aug →
cache	7–6	-0.07	10%	24 Aug →
dust2	13–9	-0.08	12%	24 Aug →
dust2	12–12	-0.04	22%	23 Aug →
nuke	13–0	-0.03	17%	23 Aug →
mirage	12–12	-0.09	13%	23 Aug →
nuke	15–15	-0.02	15%	23 Aug →
anubis	13–6	-0.08	5%	23 Aug →
dust2	12–12	-0.02	25%	23 Aug →
mirage	13–8	-0.03	17%	22 Aug →
nuke	3–13	-0.04	17%	22 Aug →
anubis	5–13	-0.03	12%	22 Aug →
ancient	12–12	-0.06	15%	22 Aug →
cache	13–6	0.01	13%	22 Aug →
mirage	10–13	-0.03	16%	22 Aug →
dust2	7–13	0.03	19%	22 Aug →
dust2	11–13	-0.01	10%	21 Aug →
anubis	5–13	-0.01	17%	21 Aug →
mirage	10–13	-0.05	17%	21 Aug →
train	12–12	-0.05	8%	21 Aug →
cache	11–13	-0.05	14%	21 Aug →
nuke	11–13	-0.05	7%	21 Aug →
dust2	9–13	-0.05	13%	20 Aug →
mirage	13–6	-0.07	13%	20 Aug →
dust2	13–7	-0.04	15%	20 Aug →
dust2	5–13	-0.06	6%	20 Aug →
dust2	11–13	-0.04	26%	19 Aug →
mirage	12–12	-0.08	10%	19 Aug →
cache	13–7	-0.06	17%	19 Aug →
inferno	13–11	-0.07	17%	18 Aug →
dust2	7–13	-0.05	9%	18 Aug →
train	4–13	-0.06	15%	18 Aug →
vertigo	13–6	-0.06	18%	18 Aug →
inferno	9–4	0.00	29%	17 Aug →
overpass	9–0	0.10	11%	17 Aug →
vertigo	1–9	-0.21	0%	17 Aug →
inferno	4–9	-0.09	25%	17 Aug →
vertigo	9–13	-0.05	30%	17 Aug →
mirage	13–2	-0.05	2%	16 Aug →
dust2	13–4	-0.07	14%	16 Aug →
anubis	7–13	-0.04	8%	16 Aug →
nuke	13–6	-0.04	20%	16 Aug →
inferno	13–3	0.05	13%	16 Aug →
cache	8–13	-0.03	7%	16 Aug →
mirage	12–12	-0.04	16%	16 Aug →
dust2	1–13	-0.10	15%	16 Aug →
dust2	7–13	0.01	16%	16 Aug →
dust2	3–13	-0.06	3%	16 Aug →
overpass	13–4	-0.02	21%	15 Aug →
train	13–11	-0.04	6%	15 Aug →
cache	12–12	-0.01	16%	15 Aug →
inferno	9–2	0.16	15%	15 Aug →
inferno	2–9	-0.14	33%	15 Aug →
nuke	6–9	0.01	14%	15 Aug →
dust2	11–13	-0.11	16%	15 Aug →
train	13–6	0.01	13%	14 Aug →
ancient	13–1	-0.01	28%	14 Aug →
inferno	13–3	-0.09	14%	14 Aug →
dust2	13–10	0.00	15%	14 Aug →
inferno	3–13	-0.03	10%	14 Aug →
nuke	5–13	-0.03	27%	14 Aug →
mirage	7–13	-0.04	19%	14 Aug →
ancient	2–0	0.08	50%	14 Aug →
dust2	13–11	-0.09	6%	13 Aug →
dust2	6–13	-0.03	16%	13 Aug →
inferno	9–5	0.10	16%	13 Aug →
nuke	3–9	-0.12	27%	13 Aug →
inferno	6–9	-0.11	17%	13 Aug →
cache	5–13	-0.08	18%	12 Aug →
mirage	9–13	-0.07	10%	12 Aug →
inferno	13–5	-0.02	13%	12 Aug →
mirage	10–13	0.05	12%	11 Aug →
inferno	13–4	-0.04	15%	11 Aug →
dust2	16–14	-0.07	16%	11 Aug →
dust2	8–13	-0.12	11%	11 Aug →
mirage	11–13	-0.02	10%	11 Aug →
train	12–12	-0.07	16%	11 Aug →
cache	11–13	-0.05	21%	11 Aug →
nuke	13–6	0.01	17%	11 Aug →
anubis	13–5	-0.01	7%	11 Aug →
mirage	13–9	-0.05	11%	11 Aug →
dust2	13–3	-0.08	19%	11 Aug →