Bill Murray — CS2 Stats

76561198841852352[U:1:881586624]

3,163Tracked matches48%Win rate2020Tracked since

CSDB Rating5.2 DevelopingHybrid Rifler

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning49

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY43–49–8Last 10043%Win rateLWLLTWLWWW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression6.6

Utility2.8

Positioning4.9

Opening Duels2.6

Clutch2.6

Strong CT-side openerLimited utility dependence

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 Twistzz 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 659ms 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

Aim6.4

Positioning4.9

Utility2.8

Mechanics7.8

Opening Duels2.6

Win Impact4.4

Composite 5.2/10 (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-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time670ms−31ms

first ⅓ avg 701ms → last ⅓ avg 670ms

Headshot accuracy12.9%−1.4%

first ⅓ avg 14.4% → last ⅓ avg 12.9%

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

0.09Best rating — office 13–7

13–2Biggest win — mirage

6Longest win streak

3–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

officeBest map · 60% over 5trainWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	22	11–11	50%	-0.01
nuke	C	18	7–11	39%	0.00
inferno	A	11	6–5	55%	-0.00
vertigo	B	11	5–6	45%	0.01
mirage	A	9	5–4	56%	-0.03
anubis	D	6	2–4	33%	-0.05
office	A	5	3–2	60%	-0.02
train	D	5	0–5	0%	-0.03
ancient	D	5	0–5	0%	-0.04
dust2	—	4	2–2	50%	-0.03
italy	—	1	1–0	100%	0.00
overpass	—	1	1–0	100%	0.03
boulder	—	1	0–1	0%	-0.06
alpine	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

15Matches

27%Win rate

0.45Avg K/D

48.1ADR

43%Headshot %

Clutches & streaks

33%1v1 clutch win

20%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	3	33%	0.48	6.3
Inferno	3	33%	0.42	6.3
Nuke	2	0%	0.56	11.5
Mirage	1	100%	0.71	5.0
Dust2	1	0%	0.39	7.0

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.

12.7%Headshot accuracy

37.3%Accuracy (enemy spotted)

37.4%Spray accuracy

85.2%Counter-strafing

9.9°Preaim

659msReaction time

31.4%T opening success

49.1%CT opening success

0.24Enemies flashed / flash

1.6%Flash assists

10.82HE damage / grenade

2.12Flashes / 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 12.7293% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2441 — below the 0.5 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 31.3806% — below the 40% mark we flag

Spend your practice time on Train

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	-0.06	23%	28 Aug →
office	13–10	-0.03	13%	28 Aug →
nuke	8–13	0.03	11%	28 Aug →
mirage	2–13	-0.07	5%	28 Aug →
train	12–12	-0.05	12%	27 Aug →
inferno	13–7	-0.02	11%	27 Aug →
cache	6–13	-0.02	26%	27 Aug →
cache	13–11	-0.02	14%	27 Aug →
cache	13–4	-0.08	6%	25 Aug →
mirage	13–8	0.01	13%	25 Aug →
inferno	13–10	0.03	8%	25 Aug →
anubis	13–6	-0.03	9%	25 Aug →
inferno	13–11	-0.03	23%	25 Aug →
cache	6–13	-0.05	14%	25 Aug →
cache	13–8	0.02	10%	25 Aug →
cache	13–9	0.02	15%	24 Aug →
vertigo	13–7	0.09	7%	24 Aug →
nuke	2–12	-0.07	6%	24 Aug →
cache	4–13	-0.00	20%	14 Aug →
ancient	7–13	-0.01	12%	14 Aug →
nuke	6–13	-0.05	10%	14 Aug →
cache	7–13	-0.08	22%	14 Aug →
cache	7–13	-0.02	3%	14 Aug →
train	12–12	0.00	19%	12 Aug →
vertigo	8–13	-0.00	12%	4 Aug →
italy	7–0	0.00	0%	4 Aug →
anubis	6–13	-0.08	8%	4 Aug →
cache	12–12	0.03	8%	4 Aug →
nuke	13–10	0.05	9%	4 Aug →
vertigo	2–6	-0.00	33%	4 Aug →
ancient	0–13	-0.10	25%	4 Aug →
vertigo	10–13	0.01	9%	3 Aug →
vertigo	7–13	-0.01	13%	3 Aug →
nuke	13–7	0.02	12%	3 Aug →
nuke	12–12	-0.03	14%	3 Aug →
vertigo	13–6	0.05	12%	31 Jul →
anubis	2–13	-0.03	12%	30 Jul →
inferno	13–3	-0.05	11%	30 Jul →
inferno	13–9	0.04	14%	30 Jul →
vertigo	13–5	0.04	12%	30 Jul →
vertigo	7–13	-0.03	15%	30 Jul →
vertigo	9–13	-0.03	13%	29 Jul →
cache	9–13	0.01	18%	29 Jul →
nuke	13–10	0.05	11%	29 Jul →
mirage	13–2	-0.01	20%	28 Jul →
nuke	4–13	-0.06	9%	28 Jul →
nuke	2–13	-0.01	3%	28 Jul →
train	9–13	-0.02	8%	28 Jul →
mirage	11–13	-0.04	8%	28 Jul →
inferno	12–12	0.01	9%	27 Jul →
ancient	11–13	-0.03	19%	27 Jul →
office	9–13	-0.03	6%	27 Jul →
anubis	6–13	-0.03	16%	27 Jul →
inferno	6–13	0.01	14%	27 Jul →
nuke	13–4	0.04	10%	27 Jul →
mirage	13–5	0.03	12%	27 Jul →
inferno	11–13	-0.03	7%	27 Jul →
train	0–7	-0.05	33%	26 Jul →
nuke	13–10	-0.01	11%	26 Jul →
cache	13–3	-0.01	12%	25 Jul →
dust2	13–4	-0.04	14%	24 Jul →
ancient	10–13	-0.03	13%	24 Jul →
dust2	4–13	-0.05	6%	24 Jul →
overpass	13–10	0.03	4%	23 Jul →
nuke	13–5	0.08	16%	22 Jul →
nuke	13–7	-0.05	8%	22 Jul →
dust2	6–13	-0.04	5%	22 Jul →
ancient	11–13	0.00	8%	17 Jul →
nuke	7–13	-0.01	13%	17 Jul →
cache	3–13	-0.04	9%	17 Jul →
cache	13–3	-0.01	29%	17 Jul →
cache	16–12	0.03	17%	14 Jul →
anubis	4–13	-0.09	7%	13 Jul →
mirage	0–13	-0.07	9%	13 Jul →
dust2	13–7	0.02	20%	13 Jul →
nuke	12–12	0.02	11%	13 Jul →
inferno	13–7	0.03	7%	13 Jul →
boulder	12–12	-0.06	11%	10 Jul →
office	13–7	-0.08	2%	10 Jul →
cache	2–13	-0.08	19%	10 Jul →
nuke	8–13	0.03	25%	10 Jul →
cache	16–13	-0.03	9%	10 Jul →
cache	13–6	0.01	15%	9 Jul →
vertigo	13–7	0.01	15%	9 Jul →
cache	6–13	-0.02	7%	9 Jul →
office	13–7	0.09	11%	9 Jul →
vertigo	13–7	0.01	8%	8 Jul →
alpine	0–6	-0.03	22%	8 Jul →
nuke	5–13	-0.05	12%	8 Jul →
office	8–13	-0.07	16%	8 Jul →
inferno	12–12	0.02	23%	7 Jul →
mirage	13–6	-0.03	11%	6 Jul →
nuke	4–13	0.02	22%	6 Jul →
mirage	7–13	-0.01	18%	6 Jul →
cache	10–4	-0.04	36%	6 Jul →
train	9–13	-0.02	8%	2 Jul →
anubis	13–7	-0.05	20%	2 Jul →
cache	13–6	0.01	15%	1 Jul →
cache	10–13	0.04	13%	1 Jul →
mirage	13–11	-0.06	5%	1 Jul →