⑥ ✓ ☆ BrNs92 — CS2 Stats

76561199534842694[U:1:1574576966]

375Tracked matches57%Win rate2024Tracked since

2,360Hours in CS54Hrs last 2 wks

CSDB Rating4.7 Developing

Premier CS Rating10,552Blue band · top ~52% of ranked players (population est.)

CSDB Leaderboard#15753 of 21692 tracked

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning44

Utility64

0–100 skill scores via Leetify.

Recent form

HOT45–50–5Last 10045%Win rateWLWWLWWWLW

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

Player DNA

Aim4.5

Aggression3.2

Utility6.4

Positioning4.4

Opening Duels1.0

Clutch2.6

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 82% 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 47% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim4.5

Positioning4.4

Utility6.4

Mechanics5.4

Opening Duels2.1

Win Impact7.2

Composite 4.7/10 (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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time639ms−58ms

first ⅓ avg 697ms → last ⅓ avg 639ms

Headshot accuracy12.3%−5.4%

first ⅓ avg 17.7% → last ⅓ avg 12.3%

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

0.38Best rating — inferno 9–3

13–0Biggest win — cache

5Longest win streak

7–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 75% over 12dust2Weakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	25	8–17	32%	-0.02
mirage	B	17	8–9	47%	-0.03
nuke	S	16	11–5	69%	0.02
anubis	S	12	9–3	75%	-0.02
cache	D	9	3–6	33%	-0.02
dust2	D	8	2–6	25%	-0.03
overpass	C	5	2–3	40%	-0.00
ancient	—	3	2–1	67%	-0.02
vertigo	—	3	0–3	0%	0.02
poseidon	—	1	0–1	0%	-0.24
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,839Lifetime kills

0.80K/D

2,410Matches

41.3%Match win rate

38.8%Headshot %

0.0%Shot accuracy

3,383MVPs

890Hours (in match)

1,768Bombs planted

434Bombs defused

Most-used weapons

M4A4 / M4A1-S6,812

AK-476,763

MP92,620

AWP2,076

Galil AR1,865

MAC-101,798

P2000 / USP-S1,430

Glock-181,139

P90859

MP7765

Lifetime map wins

4,460dust2

3,541inferno

2,053train

1,755nuke

667vertigo

57office

16cbble

15ar_baggage

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

Faceit stats

Combat

14Matches

14%Win rate

0.64Avg K/D

57.7ADR

40%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	20%	0.63	10.2
Anubis	2	0%	0.74	12.0
Ancient	2	0%	0.56	9.5
Inferno	2	0%	0.44	7.5
Vertigo	1	0%	0.69	11.0
Nuke	1	0%	0.87	13.0
Dust2	1	100%	0.79	11.0

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.

12.2%Headshot accuracy

33.9%Accuracy (enemy spotted)

36.8%Spray accuracy

74.1%Counter-strafing

12.0°Preaim

635msReaction time

21.4%T opening success

46.7%CT opening success

0.55Enemies flashed / flash

5.4%Flash assists

9.07HE damage / grenade

16.01Flashes / 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 12.2351% — 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 21.4084% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–1	0.03	18%	29 Aug →
nuke	11–13	-0.02	13%	29 Aug →
anubis	13–8	-0.10	0%	29 Aug →
mirage	16–13	-0.02	16%	29 Aug →
inferno	13–16	-0.02	16%	28 Aug →
nuke	13–11	-0.01	11%	28 Aug →
dust2	13–7	0.01	9%	28 Aug →
anubis	13–10	-0.02	5%	28 Aug →
nuke	8–13	-0.05	5%	28 Aug →
nuke	13–5	0.01	21%	28 Aug →
ancient	11–13	-0.01	17%	27 Aug →
overpass	13–10	-0.00	11%	27 Aug →
anubis	16–14	-0.02	12%	27 Aug →
cache	13–0	0.10	13%	26 Aug →
inferno	13–9	0.03	23%	26 Aug →
nuke	14–16	-0.04	16%	26 Aug →
overpass	11–13	-0.03	7%	26 Aug →
nuke	7–13	0.03	9%	24 Aug →
mirage	13–3	0.08	14%	24 Aug →
inferno	13–10	-0.02	13%	23 Aug →
mirage	3–13	-0.07	11%	23 Aug →
nuke	13–5	0.07	8%	23 Aug →
poseidon	1–9	-0.24	7%	23 Aug →
inferno	9–13	-0.07	6%	23 Aug →
mirage	13–10	-0.02	11%	23 Aug →
nuke	9–13	-0.08	16%	22 Aug →
mirage	13–11	-0.01	14%	22 Aug →
inferno	17–19	-0.03	14%	22 Aug →
dust2	3–13	-0.07	8%	22 Aug →
anubis	13–2	0.04	15%	21 Aug →
dust2	5–13	-0.04	15%	21 Aug →
dust2	9–13	-0.07	21%	20 Aug →
inferno	8–8	-0.04	12%	19 Aug →
nuke	13–2	0.08	10%	19 Aug →
anubis	13–4	0.00	12%	19 Aug →
mirage	13–2	0.01	10%	19 Aug →
ancient	13–6	-0.04	6%	19 Aug →
inferno	9–13	-0.05	9%	19 Aug →
dust2	11–13	-0.03	22%	19 Aug →
inferno	13–4	0.07	15%	18 Aug →
nuke	13–11	-0.00	14%	18 Aug →
cache	13–10	-0.00	13%	18 Aug →
mirage	0–13	-0.08	13%	16 Aug →
inferno	14–16	0.01	12%	15 Aug →
inferno	3–9	-0.10	10%	14 Aug →
dust2	3–13	-0.07	15%	14 Aug →
anubis	8–13	-0.04	9%	14 Aug →
mirage	9–13	-0.03	12%	12 Aug →
anubis	3–13	-0.09	0%	12 Aug →
mirage	9–13	-0.05	4%	11 Aug →
overpass	13–5	0.04	11%	10 Aug →
inferno	7–13	-0.05	19%	9 Aug →
nuke	13–6	0.07	17%	9 Aug →
overpass	8–13	0.02	14%	9 Aug →
mirage	2–13	-0.06	12%	6 Aug →
anubis	13–9	0.04	12%	4 Aug →
mirage	11–13	-0.12	13%	4 Aug →
inferno	10–13	-0.01	21%	4 Aug →
anubis	13–5	0.02	21%	4 Aug →
anubis	13–11	-0.04	11%	2 Aug →
ancient	13–9	-0.00	10%	2 Aug →
inferno	13–11	-0.06	6%	1 Aug →
nuke	13–8	0.01	10%	1 Aug →
train	10–13	-0.03	12%	1 Aug →
vertigo	9–13	-0.04	23%	1 Aug →
inferno	2–13	-0.07	21%	1 Aug →
inferno	15–15	-0.09	17%	31 Jul →
mirage	13–3	-0.02	13%	30 Jul →
vertigo	12–12	0.09	20%	29 Jul →
vertigo	9–13	0.02	16%	29 Jul →
mirage	3–13	-0.08	18%	29 Jul →
inferno	13–9	-0.02	13%	29 Jul →
inferno	3–13	-0.11	9%	29 Jul →
cache	13–6	-0.01	26%	26 Jul →
inferno	13–6	0.03	19%	24 Jul →
inferno	13–7	0.04	9%	24 Jul →
inferno	9–3	0.38	19%	23 Jul →
cache	11–13	-0.03	24%	22 Jul →
cache	12–12	0.03	3%	22 Jul →
cache	0–6	-0.10	33%	22 Jul →
nuke	9–3	0.05	12%	21 Jul →
nuke	13–5	0.03	15%	21 Jul →
inferno	2–13	-0.11	0%	20 Jul →
mirage	14–16	-0.02	5%	20 Jul →
dust2	13–10	0.05	17%	20 Jul →
anubis	7–13	-0.02	14%	18 Jul →
cache	6–13	-0.06	7%	18 Jul →
cache	2–13	-0.05	11%	17 Jul →
mirage	13–5	0.02	21%	13 Jul →
overpass	11–13	-0.05	18%	12 Jul →
dust2	10–13	-0.01	18%	12 Jul →
nuke	10–1	0.07	19%	12 Jul →
mirage	6–13	-0.03	18%	10 Jul →
anubis	13–6	-0.06	19%	10 Jul →
inferno	8–13	-0.07	22%	10 Jul →
inferno	12–12	-0.05	8%	9 Jul →
cache	6–13	-0.07	3%	9 Jul →
inferno	6–13	-0.07	16%	8 Jul →
mirage	13–11	-0.06	21%	8 Jul →
inferno	2–13	-0.04	100%	7 Jul →