Bronk Legsnar — CS2 Stats

US76561198109990558[U:1:149724830]Steam profile ↗✓ No bans

720Tracked matches36%Win rate2021Tracked since

522Hours in CS

CSDB Rating4.0 Developing

WingmanSilver Elite

Ladder ranks via Leetify

Performance scores

Aim52

Positioning46

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateWWLLWWLLLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim5.2

Aggression4.7

Utility3.3

Positioning4.6

Opening Duels1.6

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: opening-fight frequency, opening-duel success.

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.

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

Aim5.2

Positioning4.6

Utility3.3

Mechanics5.3

Opening Duels1.6

Win Impact0.2

Composite 4.0/10 (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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time662ms+24ms

first ⅓ avg 638ms → last ⅓ avg 662ms

Headshot accuracy16.5%+0.8%

first ⅓ avg 15.6% → last ⅓ avg 16.5%

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

0.17Best rating — cache 13–1

13–1Biggest win — overpass

6Longest win streak

W2Current streak

10–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 59% over 22anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	13–9	59%	-0.02
cache	B	15	7–8	47%	0.01
ancient	B	13	6–7	46%	-0.01
nuke	C	12	5–7	42%	-0.00
office	D	10	2–8	20%	-0.05
inferno	A	9	5–4	56%	0.00
anubis	D	7	1–6	14%	-0.03
overpass	B	6	3–3	50%	-0.01
mirage	D	5	1–4	20%	-0.04
vertigo	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,516Lifetime kills

0.93K/D

1,325Matches

43.1%Match win rate

37.6%Headshot %

12.9%Shot accuracy · Top 50% of tracked players

2,382MVPs

522Hours (in match)

966Bombs planted

312Bombs defused

Most-used weapons

AK-475,710

M4A4 / M4A1-S3,639

AWP2,284

PP-Bizon1,253

P2000 / USP-S1,213

SSG 08831

Desert Eagle727

Glock-18618

P90510

FAMAS499

Lifetime map wins

4,602dust2

1,398inferno

766office

649nuke

303vertigo

175train

52cbble

4bank

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.

13.6%Headshot accuracy

34.3%Accuracy (enemy spotted)

37.4%Spray accuracy

73.8%Counter-strafing

10.4°Preaim

641msReaction time

34.0%T opening success

38.8%CT opening success

0.65Enemies flashed / flash

3.1%Flash assists

6.81HE damage / grenade

2.89Flashes / 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 13.617% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.89 — below the 4 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 33.9765% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–4	-0.03	2%	9 Jul →
inferno	13–7	-0.02	14%	24 Jun →
dust2	9–13	-0.03	2%	24 Jun →
nuke	5–13	0.00	14%	23 Jun →
overpass	13–6	-0.04	13%	23 Jun →
inferno	13–8	-0.04	10%	22 Jun →
office	6–13	-0.05	0%	21 Jun →
nuke	3–13	-0.01	29%	19 Jun →
overpass	10–13	-0.05	10%	18 Jun →
nuke	13–11	0.02	12%	18 Jun →
ancient	15–15	-0.06	10%	18 Jun →
dust2	13–4	-0.01	15%	18 Jun →
dust2	13–8	0.00	15%	18 Jun →
nuke	13–16	-0.03	12%	17 Jun →
dust2	7–13	-0.06	9%	17 Jun →
mirage	4–13	-0.08	0%	17 Jun →
dust2	13–10	0.05	11%	17 Jun →
anubis	10–13	-0.03	14%	17 Jun →
ancient	2–0	0.01	100%	17 Jun →
nuke	8–13	-0.01	21%	17 Jun →
mirage	6–13	-0.07	14%	25 May →
inferno	12–16	-0.03	14%	25 May →
inferno	11–13	-0.03	15%	24 May →
overpass	4–13	0.04	18%	24 May →
inferno	15–15	0.04	14%	24 May →
anubis	5–13	0.03	9%	24 May →
ancient	16–12	0.05	24%	24 May →
anubis	2–13	-0.04	17%	24 May →
office	5–13	-0.04	25%	24 May →
cache	7–13	-0.03	19%	23 May →
nuke	13–11	0.08	24%	23 May →
cache	5–13	0.01	24%	23 May →
ancient	13–6	-0.00	16%	23 May →
inferno	10–13	-0.02	16%	23 May →
overpass	8–13	0.02	12%	23 May →
ancient	6–13	-0.04	24%	23 May →
anubis	2–13	-0.03	11%	22 May →
vertigo	7–13	-0.02	10%	22 May →
nuke	13–11	-0.03	9%	22 May →
dust2	5–13	-0.08	10%	22 May →
dust2	14–16	-0.02	9%	20 May →
anubis	8–13	-0.04	10%	20 May →
anubis	5–13	-0.04	19%	20 May →
ancient	11–13	-0.06	10%	19 May →
dust2	13–5	-0.07	11%	19 May →
dust2	16–13	-0.03	13%	18 May →
dust2	16–12	-0.04	14%	18 May →
mirage	7–13	-0.02	13%	17 May →
ancient	13–8	0.07	8%	17 May →
dust2	15–15	0.02	20%	17 May →
ancient	11–13	0.03	3%	17 May →
overpass	13–1	-0.00	15%	17 May →
inferno	9–7	0.15	14%	17 May →
dust2	13–2	0.03	38%	17 May →
dust2	5–13	-0.10	8%	17 May →
ancient	3–13	-0.03	7%	17 May →
nuke	7–13	-0.05	10%	17 May →
nuke	8–13	-0.06	14%	17 May →
dust2	6–13	-0.03	15%	17 May →
mirage	5–13	-0.02	9%	17 May →
ancient	4–13	-0.08	24%	17 May →
nuke	13–8	-0.00	11%	16 May →
dust2	13–11	0.01	14%	16 May →
nuke	13–11	0.01	16%	16 May →
overpass	13–9	-0.03	16%	16 May →
inferno	9–4	-0.06	9%	16 May →
ancient	13–10	0.04	6%	15 May →
nuke	8–13	0.03	11%	15 May →
mirage	13–10	-0.00	13%	14 May →
ancient	13–7	0.02	11%	14 May →
dust2	13–4	0.00	24%	14 May →
inferno	13–8	0.02	18%	10 May →
dust2	4–13	-0.06	17%	10 May →
office	2–13	-0.10	0%	8 May →
cache	13–6	-0.05	11%	7 May →
cache	13–9	-0.03	11%	7 May →
cache	11–13	-0.02	23%	6 May →
office	7–13	-0.07	29%	6 May →
office	13–5	-0.09	18%	4 May →
cache	12–12	-0.05	14%	4 May →
dust2	13–5	0.03	13%	3 May →
cache	9–13	0.01	16%	2 May →
cache	13–11	-0.01	13%	2 May →
dust2	13–2	-0.02	43%	2 May →
cache	13–8	0.03	13%	2 May →
cache	13–1	0.17	19%	30 Apr →
office	13–10	0.02	21%	30 Apr →
cache	12–12	0.10	10%	29 Apr →
cache	13–8	0.03	17%	29 Apr →
cache	7–13	0.04	19%	29 Apr →
cache	13–6	-0.02	13%	29 Apr →
cache	12–12	-0.04	7%	28 Apr →
office	9–13	-0.04	28%	28 Apr →
dust2	9–13	-0.01	18%	26 Apr →
ancient	0–13	-0.02	7%	25 Apr →
office	6–13	-0.07	11%	25 Apr →
dust2	13–11	-0.06	9%	25 Apr →
office	5–8	-0.04	10%	23 Apr →
office	9–13	-0.02	8%	18 Apr →
dust2	13–11	-0.01	22%	18 Apr →