milk — CS2 Stats

ZA76561198015489383[U:1:55223655]Steam profile ↗✓ No bans

3,234Tracked matches43%Win rate2020Tracked since

8,372Hours in CS19Hrs last 2 wks

CSDB Rating4.4 Developing

Premier CS Rating12,622Blue band · top ~41% of ranked players (population est.)

CSDB Leaderboard#9721 of 13899 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning47

Utility17

0–100 skill scores via Leetify.

Recent form

HOT45–54–1Last 10045%Win rateWWLWWWLLWW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating

Player DNA

Aim5.9

Aggression6.2

Utility1.7

Positioning4.7

Opening Duels2.8

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 79% playstyle similarity

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

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 52% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim5.9

Positioning4.7

Utility1.7

Mechanics7.4

Opening Duels2.8

Win Impact2.8

Composite 4.4/10 (Developing), 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 rating-0.00−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time626ms−56ms

first ⅓ avg 681ms → last ⅓ avg 626ms

Headshot accuracy18.2%−0.4%

first ⅓ avg 18.5% → last ⅓ avg 18.2%

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 — nuke 13–5

13–1Biggest win — overpass

4Longest win streak

W2Current streak

3–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 72% over 18ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	32	11–21	34%	0.00
inferno	C	19	8–11	42%	-0.01
dust2	S	18	13–5	72%	-0.00
ancient	D	9	2–7	22%	-0.00
overpass	S	7	5–2	71%	0.00
anubis	C	5	2–3	40%	-0.02
nuke	C	5	2–3	40%	0.04
cache	C	5	2–3	40%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

243,600Lifetime kills

1.05K/D · Top 50% of tracked players

12,061Matches

43.1%Match win rate

36.5%Headshot %

23.2%Shot accuracy · Top 1% of tracked players

27,365MVPs

4,912Hours (in match)

6,287Bombs planted

2,094Bombs defused

Most-used weapons

AWP50,924

AK-4744,854

M4A4 / M4A1-S23,750

Desert Eagle19,553

P2000 / USP-S13,870

Glock-1810,383

XM10147,619

Negev5,490

Knife5,449

P904,645

Lifetime map wins

19,956dust2

19,308inferno

6,422train

5,961nuke

4,108vertigo

1,827cbble

403lake

315safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3,277Matches

49%Win rate

0.98Avg K/D

—ADR

32%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	26	38%	0.71	11.6
Anubis	19	63%	0.69	12.7
Vertigo	19	58%	0.84	14.4
Ancient	13	62%	0.84	12.4
Inferno	4	75%	0.62	13.5
Nuke	3	67%	0.90	12.0
Dust2	3	33%	1.07	18.0
Overpass	1	100%	0.73	11.0

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.

18.8%Headshot accuracy

34.1%Accuracy (enemy spotted)

30.4%Spray accuracy

83.4%Counter-strafing

11.6°Preaim

616msReaction time

30.8%T opening success

51.9%CT opening success

0.17Enemies flashed / flash

1.7%Flash assists

9.48HE damage / grenade

1.49Flashes / 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.

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 0.1672 — 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 30.779% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	16–12	0.04	17%	28 Aug →
inferno	13–7	0.07	40%	27 Aug →
anubis	11–13	-0.02	12%	24 Aug →
dust2	13–10	-0.07	3%	22 Aug →
nuke	13–3	0.04	15%	22 Aug →
mirage	13–7	-0.00	17%	22 Aug →
dust2	10–13	0.03	20%	22 Aug →
anubis	6–13	-0.06	23%	21 Aug →
cache	13–4	0.09	10%	21 Aug →
mirage	13–10	0.01	27%	21 Aug →
nuke	13–5	0.18	14%	21 Aug →
mirage	6–13	0.00	33%	19 Aug →
inferno	13–7	0.01	26%	19 Aug →
ancient	7–13	0.05	23%	18 Aug →
inferno	8–13	-0.02	18%	17 Aug →
ancient	5–13	0.02	24%	16 Aug →
dust2	13–9	0.04	17%	16 Aug →
ancient	5–13	-0.01	20%	16 Aug →
mirage	4–13	-0.07	6%	15 Aug →
inferno	6–13	-0.11	29%	15 Aug →
nuke	7–13	-0.01	38%	15 Aug →
mirage	13–16	-0.02	6%	15 Aug →
dust2	8–13	0.01	25%	15 Aug →
inferno	13–9	-0.01	23%	15 Aug →
inferno	9–13	-0.01	16%	15 Aug →
mirage	0–10	0.00	11%	15 Aug →
inferno	6–13	-0.09	9%	14 Aug →
mirage	13–10	-0.01	13%	14 Aug →
cache	13–16	-0.04	16%	30 Jul →
mirage	13–7	-0.02	15%	30 Jul →
mirage	9–13	-0.07	9%	24 Jun →
inferno	11–13	-0.01	18%	24 Jun →
dust2	3–13	-0.08	5%	24 Jun →
mirage	14–16	-0.00	18%	23 Jun →
cache	2–13	-0.05	20%	23 Jun →
cache	5–13	-0.08	14%	23 Jun →
dust2	13–10	-0.07	14%	30 May →
mirage	15–15	-0.05	11%	27 May →
mirage	13–9	0.07	19%	14 May →
dust2	13–7	0.01	19%	14 May →
mirage	16–12	-0.04	14%	13 May →
mirage	5–13	-0.05	9%	10 May →
cache	13–3	-0.03	31%	10 May →
inferno	13–10	0.08	14%	28 Apr →
mirage	13–11	-0.05	19%	27 Apr →
mirage	10–13	0.03	25%	19 Apr →
inferno	1–13	-0.08	8%	18 Apr →
ancient	10–13	0.06	6%	16 Apr →
mirage	11–13	0.07	13%	15 Apr →
mirage	3–13	0.02	14%	14 Apr →
mirage	5–13	0.06	28%	10 Apr →
inferno	8–13	-0.04	24%	10 Apr →
ancient	8–13	-0.10	11%	10 Apr →
mirage	6–13	0.06	10%	8 Apr →
dust2	13–11	0.01	15%	8 Apr →
anubis	13–6	-0.03	27%	7 Apr →
overpass	13–11	0.06	18%	6 Apr →
dust2	5–13	-0.03	28%	2 Apr →
inferno	13–7	-0.00	14%	2 Apr →
mirage	13–8	0.00	25%	1 Apr →
overpass	13–8	-0.01	38%	28 Mar →
mirage	6–13	-0.03	17%	28 Mar →
inferno	12–16	-0.01	16%	23 Mar →
dust2	13–9	-0.02	14%	20 Mar →
mirage	1–13	-0.01	33%	20 Mar →
inferno	8–13	-0.02	13%	20 Mar →
dust2	13–2	0.11	26%	20 Mar →
mirage	13–10	0.10	26%	20 Mar →
dust2	13–9	0.02	14%	20 Mar →
mirage	7–13	-0.04	19%	19 Mar →
mirage	7–13	0.00	22%	19 Mar →
mirage	6–13	-0.05	41%	22 Feb →
ancient	2–13	-0.02	25%	22 Feb →
overpass	4–13	-0.06	17%	21 Feb →
inferno	13–4	0.00	14%	19 Feb →
dust2	13–8	-0.01	8%	18 Feb →
mirage	13–6	0.11	20%	15 Feb →
inferno	10–13	0.02	12%	12 Feb →
dust2	13–4	0.02	13%	10 Feb →
mirage	8–13	0.04	19%	10 Feb →
anubis	6–13	-0.00	16%	2 Feb →
dust2	14–16	0.00	20%	1 Feb →
overpass	16–13	-0.02	15%	1 Feb →
mirage	13–9	0.00	21%	25 Jan →
inferno	13–16	-0.03	17%	23 Jan →
anubis	13–6	-0.01	23%	23 Jan →
ancient	13–8	-0.07	16%	21 Jan →
dust2	13–9	-0.02	29%	16 Jan →
inferno	13–10	0.02	15%	16 Jan →
nuke	11–13	-0.01	11%	15 Jan →
overpass	14–16	-0.05	14%	10 Jan →
ancient	14–16	-0.00	15%	10 Jan →
mirage	8–13	-0.01	16%	10 Jan →
overpass	13–1	0.04	30%	9 Jan →
inferno	13–10	0.02	18%	9 Jan →
dust2	13–10	-0.01	19%	8 Jan →
mirage	11–13	-0.02	20%	8 Jan →
overpass	13–7	0.07	18%	6 Jan →
ancient	13–6	0.03	17%	6 Jan →
nuke	9–13	0.01	14%	6 Jan →