Milo

Milo — CS2 Stats

76561199442144924[U:1:1481879196]Steam profile ↗✓ No bans

1,808Tracked matches40%Win rate2022Tracked since
CSDB Rating5.5 SolidAggressive Rifler
FaceitLevel 9 · 1,862 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMiloFACEITLevel 9 · 1,862 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning58
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateWWLLWLWLLW

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression7.8
Utility4.5
Positioning5.8
Opening Duels4.2
Clutch3.2

Strong CT-side opener

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 61% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 705ms 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

Aim7.5
Positioning5.8
Utility4.5
Mechanics7.3
Opening Duels4.2
Win Impact1.7

Composite 5.5/10 (Solid), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time703ms+7ms
first ⅓ avg 696ms → last ⅓ avg 703ms
Headshot accuracy16.5%−1.8%
first ⅓ avg 18.3% → last ⅓ avg 16.5%

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 — dust2 13–2
132Biggest win — dust2
5Longest win streak
W2Current streak
1213In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 71% over 17mirageWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B27141352%-0.01
ancientS1712571%-0.01
infernoB178947%-0.01
mirageC156940%-0.02
anubisB115645%-0.01
nukeC94544%-0.01
train2020%0.04
overpass110100%-0.06
vertigo110100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,689Matches
50%Win rate
0.99Avg K/D
77.1ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage56753%0.9915.8
Dust248151%0.9615.9
Ancient43456%1.0316.5
Inferno22647%0.9315.2
Anubis17441%1.0116.6
Nuke10040%0.9014.8
Vertigo7738%1.0616.2
Overpass3540%0.9416.6

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.

16.1%Headshot accuracy
43.5%Accuracy (enemy spotted)
50.8%Spray accuracy
82.7%Counter-strafing
11.7°Preaim
705msReaction time
33.2%T opening success
60.7%CT opening success
0.52Enemies flashed / flash
4.8%Flash assists
7.50HE damage / grenade
6.00Flashes / 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.

  1. 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 705.2647ms — above the 700ms mark we flag

    Aim Training
  2. 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 33.2198% — below the 40% mark we flag

Spend your practice time on Mirage

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.0720%9 Jul
ancient13–80.0518%7 Jul
dust27–130.0014%6 Jul
mirage10–13-0.0321%6 Jul
dust213–20.0424%5 Jul
dust27–13-0.0225%5 Jul
inferno16–120.0510%4 Jul
nuke7–130.0115%4 Jul
anubis3–13-0.057%2 Jul
mirage13–70.0120%27 Jun
mirage13–90.0221%5 Jun
dust213–3-0.0221%5 Jun
inferno13–10-0.0018%4 Jun
ancient13–110.039%3 Jun
ancient4–13-0.0217%31 May
ancient5–13-0.128%28 May
dust213–7-0.0416%28 May
dust29–13-0.054%27 May
anubis10–13-0.0119%26 May
mirage14–16-0.0517%25 May
dust27–13-0.099%24 May
dust216–140.0514%24 May
inferno10–13-0.0432%23 May
nuke8–130.0213%21 May
inferno5–13-0.0121%20 May
inferno6–13-0.0023%18 May
dust211–130.0314%15 May
nuke13–11-0.0411%5 May
nuke11–13-0.0215%29 Apr
dust211–13-0.0811%28 Apr
inferno13–9-0.0018%25 Apr
inferno8–130.0118%24 Apr
ancient13–30.0323%24 Apr
dust213–110.0217%21 Apr
overpass13–8-0.0625%12 Apr
dust213–20.1118%2 Apr
dust210–13-0.0222%24 Mar
dust213–9-0.0124%23 Mar
mirage19–150.0312%7 Mar
dust213–8-0.0134%7 Jan
dust213–100.0425%3 Jan
ancient10–13-0.0236%3 Jan
train14–160.0419%31 Dec
inferno13–30.0821%16 Dec
inferno8–13-0.0311%10 Dec
ancient13–80.0316%8 Dec
dust213–80.0223%6 Dec
ancient2–13-0.0621%19 Nov
inferno13–100.0117%18 Nov
ancient13–70.0519%16 Nov
dust27–13-0.0920%11 Nov
inferno13–10-0.0212%8 Nov
mirage11–13-0.0529%7 Nov
nuke13–10-0.0119%28 Oct
dust213–8-0.0515%22 Oct
ancient13–11-0.0530%20 Oct
ancient13–90.0215%19 Oct
nuke13–50.0216%14 Oct
nuke1–13-0.0421%12 Oct
mirage7–130.0516%26 Jun
inferno11–130.0219%23 Jun
mirage14–16-0.0420%23 Jun
anubis13–80.0312%22 Jun
anubis8–13-0.0412%22 Jun
train11–130.0315%19 Jun
mirage9–13-0.0213%9 Jun
ancient13–70.0014%9 Jun
mirage5–13-0.0828%5 Jun
mirage10–13-0.0125%29 May
nuke13–60.0430%29 May
inferno8–13-0.0711%27 May
dust216–140.0124%24 May
inferno13–60.0315%8 May
inferno13–11-0.0818%6 May
dust28–13-0.0216%5 May
anubis6–13-0.0411%28 Apr
ancient13–4-0.0110%3 Apr
dust211–13-0.0624%1 Apr
inferno11–13-0.0213%30 Mar
anubis19–170.0022%29 Mar
dust213–11-0.0115%29 Mar
dust210–130.0718%24 Mar
inferno9–13-0.057%24 Mar
dust228–25-0.0219%14 Mar
ancient9–130.0218%12 Mar
mirage13–9-0.0511%12 Mar
anubis13–110.0218%6 Mar
mirage4–13-0.1219%2 Mar
dust210–13-0.0323%2 Mar
anubis8–13-0.0720%19 Feb
anubis13–7-0.0319%16 Feb
mirage13–11-0.0421%10 Feb
anubis13–60.098%10 Feb
ancient16–14-0.0120%10 Feb
dust211–13-0.0311%2 Dec
ancient13–8-0.0419%21 Oct
vertigo13–60.0231%21 Oct
ancient13–10-0.0228%19 Oct
anubis11–13-0.0016%6 Oct
nuke4–13-0.0917%5 Oct

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →