BryanDiedAged34 — CS2 Stats

SO76561198003656459[U:1:43390731]Steam profile ↗✓ No bans

738Tracked matches45%Win rate2021Tracked since

615Hours in CS

CSDB Rating3.9 Learning

Premier CS Rating13,611Blue band · top ~35.8% of ranked players (population est.)

CSDB Leaderboard#7383 of 10804 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning44

Utility37

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateWTLLLLLWWL

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

Player DNA

Aim5.0

Aggression2.7

Utility3.7

Positioning4.4

Opening Duels0.0

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 75% playstyle similarity

Most alike: positioning profile, 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. 598ms 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

Aim5.0

Positioning4.4

Utility3.7

Mechanics4.8

Opening Duels0.7

Win Impact3.3

Composite 3.9/10 (Learning), 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 rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time597ms+24ms

first ⅓ avg 573ms → last ⅓ avg 597ms

Headshot accuracy12.8%−0.5%

first ⅓ avg 13.3% → last ⅓ avg 12.8%

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 — nuke 2–13

13–1Biggest win — mirage

4Longest win streak

8–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 65% over 17nukeWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	19	8–11	42%	-0.01
ancient	S	17	11–6	65%	-0.01
mirage	B	15	7–8	47%	-0.01
nuke	D	12	3–9	25%	-0.01
overpass	C	12	5–7	42%	0.00
train	A	11	6–5	55%	-0.02
inferno	D	6	2–4	33%	-0.01
cache	—	3	1–2	33%	0.03
anubis	—	2	1–1	50%	0.05
agency	—	1	0–1	0%	0.02
grail	—	1	0–1	0%	0.02
office	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,053Lifetime kills

1.07K/D · Top 50% of tracked players

1,984Matches

49.2%Match win rate · Top 50% of tracked players

33.7%Headshot %

10.0%Shot accuracy

2,552MVPs

615Hours (in match)

1,267Bombs planted

225Bombs defused

Most-used weapons

AK-475,429

AWP4,259

M4A4 / M4A1-S3,105

SSG 082,217

Desert Eagle1,248

MP91,021

P2000 / USP-S930

SG 553907

P90837

MAC-10779

Lifetime map wins

1,871dust2

1,620office

1,349inferno

1,258nuke

817italy

660train

548assault

534vertigo

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.

12.6%Headshot accuracy

31.7%Accuracy (enemy spotted)

37.7%Spray accuracy

71.4%Counter-strafing

10.1°Preaim

598msReaction time

21.8%T opening success

35.9%CT opening success

0.60Enemies flashed / flash

8.4%Flash assists

6.08HE damage / grenade

13.73Flashes / 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 12.5996% — 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 21.8014% — 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.

25% win rate across 12 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
cache	7–2	0.00	21%	7 May →
cache	12–12	0.05	11%	6 May →
cache	5–13	0.03	16%	5 May →
mirage	2–13	-0.06	26%	24 Dec →
ancient	9–13	-0.02	14%	24 Dec →
ancient	10–13	-0.04	5%	17 Dec →
mirage	9–13	-0.01	13%	17 Dec →
nuke	13–10	-0.04	9%	15 Dec →
mirage	13–7	-0.06	21%	15 Dec →
mirage	3–13	0.02	13%	15 Dec →
train	13–10	0.01	13%	5 Oct →
mirage	13–8	-0.02	8%	5 Oct →
nuke	7–13	-0.03	12%	5 Oct →
overpass	13–8	0.01	20%	18 Sept →
nuke	9–13	0.01	6%	18 Sept →
agency	9–13	0.02	17%	17 Sept →
nuke	2–13	0.11	12%	17 Sept →
grail	9–13	0.02	17%	17 Sept →
train	9–8	-0.05	17%	17 Sept →
mirage	13–7	0.06	13%	17 Sept →
train	7–13	0.01	7%	17 Sept →
dust2	2–13	-0.05	37%	17 Sept →
dust2	7–13	-0.04	13%	17 Sept →
ancient	13–6	0.03	8%	17 Sept →
mirage	7–13	-0.03	5%	17 Sept →
ancient	16–12	0.08	8%	16 Sept →
overpass	13–6	0.08	12%	16 Sept →
overpass	13–9	0.01	12%	15 Sept →
inferno	10–13	0.00	9%	15 Sept →
dust2	13–6	0.00	4%	15 Sept →
ancient	4–13	-0.02	8%	15 Sept →
overpass	10–13	-0.02	7%	15 Sept →
overpass	11–13	-0.03	11%	14 Sept →
dust2	5–13	-0.05	8%	14 Sept →
ancient	13–11	0.01	7%	13 Sept →
mirage	13–6	-0.02	8%	13 Sept →
inferno	13–9	-0.04	7%	11 Sept →
nuke	10–13	0.00	8%	11 Sept →
overpass	10–13	0.01	17%	11 Sept →
overpass	6–13	-0.00	17%	11 Sept →
train	13–10	-0.02	8%	11 Sept →
mirage	14–16	-0.04	11%	11 Sept →
dust2	7–13	-0.05	10%	11 Sept →
mirage	13–1	0.03	16%	11 Sept →
ancient	13–8	-0.07	4%	10 Sept →
inferno	4–13	-0.01	11%	10 Sept →
mirage	11–13	0.01	11%	10 Sept →
dust2	9–13	-0.06	13%	10 Sept →
nuke	15–15	-0.02	9%	10 Sept →
dust2	5–13	-0.03	10%	8 Sept →
nuke	13–6	-0.06	12%	8 Sept →
dust2	12–12	0.02	18%	8 Sept →
overpass	5–13	-0.02	4%	8 Sept →
ancient	13–10	-0.08	2%	8 Sept →
train	4–13	-0.06	7%	7 Sept →
overpass	13–6	-0.00	14%	7 Sept →
ancient	13–10	-0.04	11%	7 Sept →
nuke	3–13	-0.05	26%	7 Sept →
mirage	13–4	0.04	8%	7 Sept →
inferno	15–15	-0.04	12%	6 Sept →
ancient	16–14	0.03	9%	5 Sept →
dust2	13–3	0.06	24%	5 Sept →
nuke	13–4	0.07	38%	4 Sept →
inferno	7–13	-0.03	3%	4 Sept →
dust2	13–11	-0.00	11%	4 Sept →
train	7–13	-0.06	19%	4 Sept →
dust2	13–2	0.03	5%	4 Sept →
overpass	6–13	-0.01	9%	4 Sept →
dust2	13–6	0.01	16%	4 Sept →
ancient	16–13	-0.02	25%	4 Sept →
train	5–13	-0.02	13%	3 Sept →
mirage	5–13	-0.03	10%	3 Sept →
nuke	14–16	-0.06	8%	3 Sept →
train	15–15	-0.06	13%	3 Sept →
mirage	13–11	0.04	13%	1 Sept →
dust2	11–13	-0.04	16%	1 Sept →
overpass	8–13	0.02	8%	1 Sept →
ancient	4–13	-0.03	10%	1 Sept →
train	13–7	-0.01	16%	31 Aug →
ancient	13–6	0.06	16%	31 Aug →
overpass	13–11	-0.00	13%	28 Aug →
dust2	13–6	0.02	21%	28 Aug →
mirage	13–16	-0.06	6%	2 Jul →
ancient	13–2	0.03	10%	2 Jul →
office	13–7	0.05	15%	1 Jul →
dust2	13–6	0.00	17%	1 Jul →
nuke	2–13	-0.02	19%	30 Jun →
inferno	13–10	0.05	11%	30 Jun →
dust2	6–13	-0.06	11%	27 Jun →
anubis	10–13	0.04	22%	26 Jun →
anubis	13–9	0.06	6%	26 Jun →
dust2	13–11	-0.01	17%	25 Jun →
ancient	9–13	-0.03	9%	25 Jun →
ancient	7–13	-0.06	7%	25 Jun →
nuke	2–13	-0.02	12%	25 Jun →
train	13–8	0.03	12%	24 Jun →
dust2	12–16	0.01	13%	24 Jun →
ancient	13–10	0.05	13%	23 Jun →
train	13–11	0.01	18%	23 Jun →
dust2	6–13	-0.02	16%	23 Jun →