Marcus Millbury — CS2 Stats

76561198231973060[U:1:271707332]

8,106Tracked matches55%Win rate2022Tracked since

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating21,433Pink band · top ~6.9% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning48

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLLWWWWWTLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim8.9

Aggression6.2

Utility4.8

Positioning4.8

Opening Duels1.8

Clutch3.8

Sharp aimer

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 91% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

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

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

Aim8.9

Positioning4.8

Utility4.8

Mechanics7.6

Opening Duels1.8

Win Impact6.7

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.04

first ⅓ avg 0.04 → last ⅓ avg -0.00

Reaction time503ms−35ms

first ⅓ avg 538ms → last ⅓ avg 503ms

Headshot accuracy21.3%−8.2%

first ⅓ avg 29.5% → last ⅓ avg 21.3%

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

0.18Best rating — ancient 13–0

13–0Biggest win — ancient

10Longest win streak

L2Current streak

10–10In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 82% over 11anubisWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	27	19–8	70%	0.03
mirage	A	22	14–8	64%	0.02
cache	S	11	9–2	82%	-0.00
ancient	S	10	7–3	70%	0.06
anubis	D	9	1–8	11%	0.04
nuke	C	8	3–5	38%	-0.01
inferno	D	7	2–5	29%	-0.00
vertigo	—	2	1–1	50%	0.06
overpass	—	2	1–1	50%	0.08
train	—	2	1–1	50%	0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,138Matches

51%Win rate

1.24Avg K/D

80.8ADR

39%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	501	49%	1.20	16.2
Dust2	312	56%	1.36	17.6
Ancient	191	54%	1.28	17.4
Nuke	175	50%	1.25	17.4
Anubis	167	51%	1.17	15.9
Vertigo	124	52%	1.22	17.9
Inferno	113	45%	1.10	16.2
Overpass	50	48%	1.14	16.2

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.

21.2%Headshot accuracy

35.4%Accuracy (enemy spotted)

39.6%Spray accuracy

84.0%Counter-strafing

7.1°Preaim

508msReaction time

30.0%T opening success

44.2%CT opening success

0.67Enemies flashed / flash

10.3%Flash assists

11.30HE damage / grenade

5.81Flashes / 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.

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 29.9829% — 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.

11% win rate across 9 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	11–13	-0.03	10%	27 Aug →
dust2	0–13	-0.00	0%	27 Aug →
cache	13–11	-0.03	20%	27 Aug →
dust2	13–2	0.04	9%	27 Aug →
inferno	13–7	0.02	18%	27 Aug →
mirage	13–7	-0.05	10%	27 Aug →
dust2	13–11	-0.02	21%	27 Aug →
cache	12–12	-0.06	21%	26 Aug →
nuke	6–13	-0.05	11%	26 Aug →
mirage	9–13	0.02	26%	26 Aug →
mirage	13–11	0.00	12%	26 Aug →
dust2	7–7	0.08	63%	26 Aug →
inferno	7–13	0.04	30%	26 Aug →
cache	1–7	-0.03	9%	26 Aug →
mirage	13–10	0.03	30%	26 Aug →
dust2	13–7	0.03	30%	26 Aug →
anubis	9–13	-0.02	24%	26 Aug →
dust2	13–1	-0.01	16%	25 Aug →
cache	13–11	-0.05	9%	25 Aug →
dust2	11–13	0.05	42%	25 Aug →
anubis	7–13	-0.04	29%	24 Aug →
inferno	5–13	-0.02	29%	24 Aug →
dust2	13–10	0.03	21%	24 Aug →
dust2	13–7	-0.02	13%	24 Aug →
cache	13–4	0.06	34%	24 Aug →
mirage	13–10	0.03	27%	23 Aug →
dust2	13–10	-0.03	8%	23 Aug →
cache	13–9	0.00	13%	23 Aug →
nuke	10–13	-0.01	33%	23 Aug →
mirage	3–13	-0.09	8%	22 Aug →
cache	13–10	0.05	25%	22 Aug →
ancient	13–11	0.02	31%	22 Aug →
inferno	14–16	0.04	22%	22 Aug →
ancient	13–4	-0.02	19%	22 Aug →
dust2	10–13	-0.00	37%	22 Aug →
cache	13–9	-0.03	29%	22 Aug →
anubis	9–13	0.02	35%	22 Aug →
dust2	13–9	0.01	28%	22 Aug →
nuke	16–14	0.02	32%	21 Aug →
dust2	13–5	0.17	32%	21 Aug →
cache	13–7	0.04	52%	21 Aug →
dust2	13–2	0.12	18%	21 Aug →
nuke	13–9	0.06	30%	21 Aug →
vertigo	13–2	0.02	30%	21 Aug →
dust2	13–4	0.04	29%	21 Aug →
anubis	13–6	0.05	15%	21 Aug →
cache	13–9	-0.04	26%	21 Aug →
anubis	9–13	0.16	33%	20 Aug →
cache	13–4	0.06	37%	20 Aug →
ancient	13–3	0.14	38%	20 Aug →
inferno	12–12	-0.03	20%	20 Aug →
ancient	13–11	0.01	22%	20 Aug →
mirage	11–13	0.07	24%	20 Aug →
mirage	13–11	-0.03	25%	19 Aug →
ancient	1–1	0.01	0%	19 Aug →
mirage	9–13	0.03	37%	19 Aug →
dust2	3–13	0.02	27%	19 Aug →
dust2	13–11	0.02	32%	19 Aug →
mirage	9–13	0.09	34%	19 Aug →
ancient	11–13	0.03	30%	19 Aug →
nuke	1–13	-0.01	50%	18 Aug →
anubis	0–2	0.14	100%	18 Aug →
mirage	13–2	-0.02	38%	18 Aug →
mirage	12–16	0.06	19%	17 Aug →
vertigo	8–13	0.10	22%	14 Aug →
mirage	13–11	0.05	20%	14 Aug →
ancient	5–13	0.07	19%	14 Aug →
mirage	13–4	0.07	67%	14 Aug →
overpass	13–4	0.13	21%	14 Aug →
dust2	16–12	0.03	28%	14 Aug →
train	10–13	0.07	33%	14 Aug →
dust2	4–13	-0.04	75%	13 Aug →
overpass	6–13	0.03	23%	13 Aug →
dust2	13–5	0.06	32%	13 Aug →
mirage	13–10	-0.01	20%	12 Aug →
nuke	7–13	0.00	31%	12 Aug →
mirage	0–13	-0.03	30%	12 Aug →
inferno	5–13	-0.04	25%	12 Aug →
dust2	13–8	0.08	31%	12 Aug →
dust2	2–13	0.00	55%	12 Aug →
mirage	13–8	0.05	37%	12 Aug →
nuke	13–8	-0.07	15%	12 Aug →
train	13–3	0.14	33%	12 Aug →
dust2	13–7	-0.00	25%	12 Aug →
dust2	5–13	0.05	22%	12 Aug →
anubis	10–13	0.03	28%	11 Aug →
ancient	13–0	0.18	29%	11 Aug →
mirage	13–2	0.11	25%	11 Aug →
dust2	13–5	0.04	29%	11 Aug →
nuke	11–13	-0.02	17%	11 Aug →
dust2	13–6	0.06	24%	10 Aug →
ancient	13–5	0.12	19%	10 Aug →
ancient	13–8	0.06	27%	6 Aug →
mirage	13–7	-0.05	9%	3 Aug →
dust2	13–5	0.04	22%	3 Aug →
mirage	13–10	0.04	27%	2 Aug →
mirage	13–9	0.04	20%	1 Aug →
inferno	13–5	-0.04	19%	1 Aug →
anubis	5–13	0.02	32%	1 Aug →
mirage	14–16	0.01	43%	1 Aug →