milton — CS2 Stats

US76561198323320285[U:1:363054557]Steam profile ↗✓ No bans

230Tracked matches43%Win rate2020Tracked since

CSDB Rating4.9 DevelopingHybrid Rifler

Premier CS Rating11,767Blue band · top ~45.5% of ranked players (population est.)

CSDB Leaderboard#21932 of 31299 tracked

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71

Positioning38

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateLWLWLLLWLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim7.1

Aggression4.9

Utility3.7

Positioning3.8

Opening Duels1.1

Excellent counter-strafingStrong 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 NiKo 84% 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

Positioning. Positioning trails aim by 33 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.

T-side openings. Opening success drops from 43% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 707ms 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

Aim7.1

Positioning3.8

Utility3.7

Mechanics8.5

Opening Duels1.7

Win Impact2.8

Composite 4.9/10 (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-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time729ms+41ms

first ⅓ avg 688ms → last ⅓ avg 729ms

Headshot accuracy21.2%−2.7%

first ⅓ avg 23.9% → last ⅓ avg 21.2%

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

0.10Best rating — mirage 13–9

13–1Biggest win — mirage

4Longest win streak

7–2In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 56% over 9nukeWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	13–13	50%	-0.03
dust2	C	22	9–13	41%	0.00
ancient	C	14	5–9	36%	-0.03
nuke	D	10	3–7	30%	-0.03
inferno	A	9	5–4	56%	-0.04
overpass	C	8	3–5	38%	-0.03
anubis	D	6	2–4	33%	-0.03
train	C	5	2–3	40%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke 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.

20.7%Headshot accuracy

38.3%Accuracy (enemy spotted)

40.0%Spray accuracy

88.1%Counter-strafing

11.6°Preaim

707msReaction time

25.3%T opening success

43.3%CT opening success

0.48Enemies flashed / flash

3.0%Flash assists

9.47HE damage / grenade

4.76Flashes / 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 707.4545ms — 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 0.4802 — 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 25.2826% — 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.

30% win rate across 10 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
dust2	8–13	0.01	23%	7 Mar →
mirage	13–1	-0.02	26%	7 Mar →
mirage	9–13	-0.05	12%	6 Mar →
mirage	13–7	-0.08	10%	6 Mar →
dust2	12–16	0.03	29%	5 Mar →
ancient	7–13	-0.09	15%	5 Mar →
anubis	9–13	-0.05	19%	5 Mar →
dust2	13–5	0.08	20%	4 Mar →
dust2	3–13	0.04	31%	4 Mar →
ancient	16–14	-0.01	21%	2 Mar →
mirage	7–13	-0.03	19%	2 Mar →
overpass	13–7	0.04	22%	25 Feb →
mirage	9–3	-0.00	16%	24 Feb →
mirage	13–8	-0.04	30%	24 Feb →
ancient	3–13	-0.01	18%	23 Feb →
inferno	13–3	0.03	23%	23 Feb →
mirage	5–13	-0.04	12%	2 Feb →
mirage	7–13	-0.03	29%	2 Feb →
ancient	6–13	-0.02	19%	2 Feb →
mirage	1–13	-0.01	29%	2 Feb →
dust2	11–2	0.01	28%	28 Jan →
anubis	13–8	-0.01	33%	26 Jan →
nuke	6–13	-0.03	19%	26 Jan →
dust2	3–13	0.03	18%	18 Jan →
dust2	2–13	-0.08	17%	18 Jan →
overpass	6–13	-0.01	16%	18 Jan →
dust2	13–6	-0.03	24%	16 Jan →
nuke	16–13	-0.05	17%	16 Jan →
dust2	13–1	0.09	18%	15 Jan →
dust2	1–9	0.01	17%	14 Jan →
ancient	13–4	-0.06	20%	14 Jan →
dust2	13–1	0.04	25%	14 Jan →
overpass	13–2	-0.04	27%	14 Jan →
mirage	13–7	-0.05	44%	12 Jan →
nuke	6–13	-0.11	33%	11 Jan →
mirage	13–3	0.04	20%	11 Jan →
dust2	16–14	-0.03	22%	11 Jan →
train	9–13	0.01	27%	11 Jan →
overpass	15–15	-0.01	16%	11 Jan →
ancient	8–13	-0.01	23%	11 Jan →
mirage	8–13	-0.06	22%	11 Jan →
mirage	13–2	-0.04	13%	11 Jan →
mirage	13–11	0.02	24%	11 Jan →
ancient	8–13	-0.07	16%	10 Jan →
train	15–15	-0.02	27%	10 Jan →
dust2	15–15	-0.04	20%	10 Jan →
mirage	1–13	-0.07	16%	10 Jan →
mirage	13–9	0.10	16%	10 Jan →
inferno	9–13	-0.09	21%	10 Jan →
ancient	11–13	-0.03	19%	10 Jan →
dust2	13–10	0.05	25%	10 Jan →
mirage	13–10	-0.08	10%	31 Dec →
nuke	13–11	-0.04	15%	27 Dec →
mirage	0–13	-0.15	20%	27 Dec →
inferno	13–8	-0.02	10%	27 Dec →
overpass	13–3	-0.07	43%	27 Dec →
ancient	13–7	0.01	9%	26 Dec →
inferno	13–7	-0.06	4%	26 Dec →
dust2	9–13	-0.03	14%	26 Dec →
mirage	13–7	0.04	16%	26 Dec →
mirage	12–16	-0.05	15%	28 Aug →
overpass	7–13	-0.07	13%	22 Aug →
inferno	3–13	-0.07	32%	22 Aug →
overpass	4–13	-0.02	35%	22 Aug →
dust2	16–12	-0.00	17%	19 Aug →
overpass	10–13	-0.04	7%	19 Aug →
mirage	13–11	0.03	13%	5 Jul →
ancient	13–4	0.04	5%	5 Jul →
train	13–10	-0.01	8%	5 Jul →
mirage	1–13	-0.06	100%	4 Jul →
dust2	7–13	0.02	32%	4 Jul →
ancient	5–13	-0.09	50%	10 Jun →
mirage	13–11	-0.08	19%	26 May →
inferno	4–13	0.00	43%	26 May →
ancient	11–13	-0.02	25%	24 May →
nuke	5–13	-0.04	17%	9 May →
dust2	9–13	-0.07	25%	19 Apr →
mirage	12–16	-0.03	10%	18 Apr →
nuke	15–15	-0.04	17%	17 Apr →
dust2	13–11	-0.02	14%	17 Apr →
anubis	13–7	0.04	19%	17 Apr →
nuke	9–13	-0.04	18%	17 Apr →
nuke	8–13	0.05	16%	16 Apr →
dust2	4–13	-0.03	31%	6 Apr →
inferno	5–13	-0.07	30%	15 Mar →
anubis	10–13	-0.06	29%	14 Mar →
mirage	9–13	-0.08	23%	14 Mar →
anubis	3–13	-0.04	28%	13 Mar →
dust2	3–13	-0.07	25%	13 Mar →
ancient	16–13	0.02	15%	8 Mar →
mirage	8–13	-0.07	15%	8 Mar →
inferno	13–7	-0.04	18%	8 Mar →
train	13–7	0.01	19%	8 Mar →
inferno	13–5	-0.05	16%	7 Mar →
train	9–13	-0.07	15%	4 Mar →
ancient	5–13	-0.05	36%	4 Mar →
dust2	15–15	0.01	21%	4 Mar →
nuke	13–6	-0.01	12%	4 Mar →
nuke	2–13	-0.04	14%	3 Mar →
anubis	10–13	-0.05	27%	3 Mar →