Milk Man — CS2 Stats

76561198198028253[U:1:237762525]Steam profile ↗✓ No bans

858Tracked matches61%Win rate2020Tracked since

CSDB Rating5.0 Developing

Premier CS Rating19,420Purple band · top ~10.8% of ranked players (population est.)

CSDB Leaderboard#11826 of 26024 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning49

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY51–41–8Last 10051%Win rateWLWWLLWLLW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim5.1

Aggression4.8

Utility3.4

Positioning4.9

Opening Duels1.5

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. 721ms 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

Aim5.1

Positioning4.9

Utility3.4

Mechanics6.7

Opening Duels1.5

Win Impact8.6

Composite 5.0/10 (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 time718ms+38ms

first ⅓ avg 679ms → last ⅓ avg 718ms

Headshot accuracy16.1%−5.5%

first ⅓ avg 21.6% → last ⅓ avg 16.1%

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 — anubis 13–8

13–3Biggest win — dust2

7Longest win streak

13–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	21	11–10	52%	-0.00
inferno	D	12	3–9	25%	-0.00
anubis	B	11	5–6	45%	0.01
overpass	D	9	3–6	33%	-0.01
nuke	S	8	6–2	75%	-0.00
mirage	B	8	4–4	50%	-0.01
dust2	C	7	3–4	43%	-0.00
office	S	7	5–2	71%	0.03
vertigo	S	6	4–2	67%	-0.02
train	—	3	1–2	33%	-0.03
warden	—	3	3–0	100%	0.01
ancient	—	3	2–1	67%	0.02
fachwerk	—	1	1–0	100%	-0.05
italy	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.5%Headshot accuracy

33.5%Accuracy (enemy spotted)

35.0%Spray accuracy

80.1%Counter-strafing

10.2°Preaim

721msReaction time

33.8%T opening success

38.3%CT opening success

0.37Enemies flashed / flash

2.8%Flash assists

12.98HE damage / grenade

3.40Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 721.1622ms — above the 700ms 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 0.3653 — 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 33.7691% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–11	0.10	14%	25 Aug →
anubis	9–13	0.01	27%	13 Aug →
cache	13–11	0.00	14%	13 Aug →
fachwerk	13–11	-0.05	19%	4 Aug →
vertigo	3–13	-0.08	29%	23 Jul →
cache	9–13	-0.03	8%	22 Jul →
vertigo	13–7	-0.03	12%	7 Jul →
anubis	10–13	0.03	20%	7 Jul →
cache	4–13	-0.10	6%	1 Jul →
nuke	13–11	0.01	23%	30 Jun →
inferno	13–11	-0.00	13%	30 Jun →
mirage	10–13	-0.02	18%	29 Jun →
anubis	9–13	-0.03	14%	24 Jun →
vertigo	13–9	-0.02	30%	23 Jun →
inferno	12–12	0.01	13%	23 Jun →
train	13–10	-0.02	14%	23 Jun →
cache	13–11	-0.02	17%	22 Jun →
inferno	13–7	-0.01	18%	22 Jun →
cache	13–9	-0.01	6%	17 Jun →
mirage	13–5	0.01	8%	17 Jun →
cache	6–13	-0.02	18%	11 Jun →
dust2	13–3	0.10	6%	11 Jun →
cache	13–3	-0.00	21%	10 Jun →
train	9–13	-0.06	12%	10 Jun →
nuke	13–9	0.05	19%	10 Jun →
nuke	12–12	0.01	19%	9 Jun →
dust2	13–8	-0.00	21%	9 Jun →
overpass	9–13	-0.00	20%	6 Jun →
cache	13–6	0.06	13%	6 Jun →
cache	3–13	-0.07	23%	6 Jun →
inferno	8–13	-0.04	15%	6 Jun →
cache	12–12	-0.03	7%	5 Jun →
warden	13–9	-0.00	17%	2 Jun →
cache	13–7	0.07	9%	2 Jun →
italy	12–12	-0.05	6%	2 Jun →
cache	11–13	0.03	18%	29 May →
anubis	9–13	0.03	19%	29 May →
cache	13–8	0.04	16%	28 May →
overpass	6–13	0.01	19%	28 May →
anubis	13–8	0.11	13%	21 May →
cache	8–13	-0.06	19%	20 May →
cache	13–6	0.06	14%	20 May →
inferno	13–8	0.04	21%	16 May →
cache	13–7	-0.01	9%	16 May →
cache	13–10	0.02	10%	6 May →
cache	7–13	-0.00	16%	6 May →
cache	7–13	-0.05	11%	29 Apr →
cache	7–13	-0.03	15%	29 Apr →
office	13–7	0.05	19%	28 Apr →
dust2	8–13	0.03	37%	28 Apr →
anubis	13–11	-0.00	20%	26 Apr →
anubis	13–11	-0.01	13%	26 Apr →
nuke	13–7	-0.03	13%	26 Apr →
overpass	15–15	0.03	5%	23 Apr →
anubis	8–13	-0.05	16%	22 Apr →
office	13–6	0.06	15%	22 Apr →
vertigo	13–11	0.04	18%	22 Apr →
inferno	7–13	-0.01	8%	15 Apr →
dust2	7–13	0.00	26%	13 Apr →
ancient	13–11	-0.00	14%	13 Apr →
inferno	10–13	0.04	20%	12 Apr →
nuke	13–9	0.01	16%	12 Apr →
nuke	11–13	-0.03	13%	11 Apr →
warden	13–11	0.04	17%	11 Apr →
overpass	3–13	-0.06	22%	11 Apr →
vertigo	4–13	-0.04	22%	10 Apr →
overpass	10–13	0.01	19%	10 Apr →
office	11–13	0.03	25%	6 Apr →
mirage	13–9	-0.00	24%	6 Apr →
mirage	13–6	-0.06	22%	6 Apr →
dust2	10–13	-0.11	16%	6 Apr →
overpass	13–7	0.05	17%	4 Apr →
mirage	6–13	-0.02	22%	3 Apr →
nuke	5–1	-0.03	17%	3 Apr →
mirage	11–13	-0.02	20%	3 Apr →
vertigo	13–10	0.01	25%	2 Apr →
dust2	12–12	-0.00	47%	2 Apr →
office	13–10	0.00	21%	1 Apr →
inferno	3–9	-0.06	38%	1 Apr →
inferno	11–13	-0.01	28%	31 Mar →
mirage	12–12	-0.01	14%	31 Mar →
overpass	5–13	-0.03	25%	27 Mar →
anubis	13–7	0.04	17%	27 Mar →
inferno	5–13	0.05	23%	27 Mar →
anubis	13–6	-0.00	15%	23 Mar →
office	9–13	0.02	12%	23 Mar →
office	13–11	0.05	11%	19 Mar →
office	7–1	-0.01	55%	19 Mar →
overpass	13–10	-0.01	11%	17 Mar →
nuke	13–7	-0.02	15%	17 Mar →
ancient	13–8	0.06	14%	16 Mar →
mirage	13–6	0.05	14%	16 Mar →
dust2	13–11	-0.02	19%	16 Mar →
train	12–12	0.00	24%	13 Mar →
overpass	13–6	-0.04	25%	13 Mar →
inferno	11–13	0.06	17%	13 Mar →
ancient	9–13	0.01	20%	8 Mar →
inferno	2–13	-0.10	29%	8 Mar →
warden	10–6	0.00	10%	5 Mar →
anubis	11–13	-0.06	24%	4 Mar →