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Milan_

Milan_ — CS2 Stats

DE76561198136478655[U:1:176212927]Steam profile ↗✓ No bans

7,999Tracked matches45%Win rate2021Tracked since
8,104Hours in CS11Hrs last 2 wks
CSDB Rating7.6 StrongSupport
CSDB Leaderboard#219728 of 258944 tracked
FaceitLevel 10 · 2,423 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

−13Faceit ELO · 2,436 → 2,423

Rating over time

2,436Highest Faceit ELO seen on CSDB
24Days played since 2026-08-30

Faceit ELO

  • 13 below peak (2,436)
  • Next: 2,500 ELO at 2,500 — 77 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate47.9%50.9%
Shot accuracy7.3%13.7%
Kill/death ratio1.221.09
Match win rate51.6%48.4%

Share this profile

CSDB.GGMilan_FACEITLevel 10 · 2,423 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,436csdb.gg/stats

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

Aim90
Positioning77
Utility77

0–100 skill scores via Leetify.

Recent form

COLD40–51–9Last 10040%Win rateLLLLWLTWLL

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · +0.0pp headshot accuracy · −21ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 467ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 501ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 511ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim9.0
Utility7.7
Positioning7.7
Opening Duels7.1
Clutch3.4

Sharp aimerHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

device

Plays most like device 89% playstyle similarity

Most alike: opening-duel success, 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 90 — the mechanical foundation is a clear strength.

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

T openings. 73% T opening-duel success — entries that actually open the round.

Utility. Utility score of 77 — grenade impact well above the norm.

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

Aim9.0
Positioning7.7
Utility7.7
Mechanics6.7
Opening Duels8.8
Win Impact3.3

Composite 7.6/10 (Strong), 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 rating0.03−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time497ms−43ms
first ⅓ avg 539ms → last ⅓ avg 497ms
Headshot accuracy17.5%−4.7%
first ⅓ avg 22.2% → last ⅓ avg 17.5%

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.

Personal bests

0.34Best match rating · 9–3 · eldorado, 21 Sept →
50%Best headshot accuracy · 0–4 · rush_001, 12 Oct →
320msFastest reaction time · 1–9 · inferno, 19 Oct →
13–2Biggest win · mirage, 25 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
8–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 33% over 42
MapGradePlayedRecordWin rateAvg rating
infernoD4214–2833%0.03
anubisB158–753%0.05
eldoradoC135–838%0.07
ancientS96–367%0.07
cacheD62–433%0.03
dust2—40–40%0.04
mirage—43–175%0.02
rush_001—32–167%-0.10
shelter—10–10%0.04
nuke—10–10%-0.11
overpass—10–10%-0.01
debris—10–10%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 42). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

194,776Lifetime kills
1.22K/D · Top 25% of Level 10 players
9,289Matches
51.6%Match win rate · Top 25% of Level 10 players
47.9%Headshot %
7.3%Shot accuracy
23,542MVPs
4,057Hours (in match)
9,880Bombs planted
3,052Bombs defused

Most-used weapons

AK-4769,757
M4A4 / M4A1-S31,765
AWP13,884
P2000 / USP-S11,085
MAG-710,571
Tec-98,611
Galil AR6,999
Glock-186,110
Desert Eagle5,094
FAMAS4,407

Lifetime map wins

38,618inferno
7,074dust2
5,364nuke
3,097vertigo
481train
93office
72cbble
45lake

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

Faceit stats

Combat

3,069Matches
51%Win rate
1.11Avg K/D
85.2ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno89264%1.2216.5
Ancient68549%1.1416.8
Dust243243%1.0215.1
Anubis43148%1.0615.7
Nuke19340%1.0315.8
Overpass18643%1.0616.1
Vertigo4236%0.8213.3
Train2941%0.9514.2

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.

14.2%Headshot accuracy
44.8%Accuracy (enemy spotted)
44.9%Spray accuracy
80.1%Counter-strafing
8.9°Preaim
498msReaction time
73.3%T opening success
60.6%CT opening success
0.65Enemies flashed / flash
12.6%Flash assists
12.16HE damage / grenade
13.18Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.2492% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 42 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–9-0.0913%29 Oct →
shelter8–130.0420%29 Oct →
nuke4–9-0.1114%29 Oct →
inferno4–9-0.1323%29 Oct →
inferno9–70.0615%28 Oct →
inferno3–9-0.1033%28 Oct →
eldorado8–80.1410%28 Oct →
inferno9–30.2522%28 Oct →
inferno3–9-0.1215%27 Oct →
dust23–130.0813%25 Oct →
ancient19–150.0817%25 Oct →
anubis13–70.1115%23 Oct →
inferno14–160.0417%23 Oct →
anubis11–130.0216%23 Oct →
dust28–130.0522%23 Oct →
inferno5–90.0118%23 Oct →
eldorado9–60.0826%20 Oct →
inferno9–50.2429%20 Oct →
rush_0017–3-0.0310%19 Oct →
eldorado6–90.0410%19 Oct →
inferno2–9-0.1120%19 Oct →
eldorado8–20.1223%19 Oct →
inferno1–9-0.0214%19 Oct →
inferno13–50.0112%15 Oct →
inferno4–9-0.0813%12 Oct →
eldorado9–70.2123%12 Oct →
rush_0010–4-0.2750%12 Oct →
inferno9–10.2812%12 Oct →
inferno11–130.0116%9 Oct →
anubis13–8-0.0210%9 Oct →
ancient7–130.056%9 Oct →
cache6–13-0.0711%9 Oct →
eldorado9–70.1212%9 Oct →
inferno8–80.0610%9 Oct →
anubis13–10-0.019%4 Oct →
inferno13–110.009%4 Oct →
inferno13–60.0210%4 Oct →
inferno5–90.0233%4 Oct →
inferno13–60.1119%3 Oct →
anubis13–80.047%3 Oct →
ancient13–90.1010%3 Oct →
anubis12–120.0216%3 Oct →
inferno3–9-0.0617%3 Oct →
rush_0018–70.0111%3 Oct →
ancient4–130.0917%29 Sept →
anubis17–190.0711%29 Sept →
inferno9–130.0914%29 Sept →
dust214–160.0024%28 Sept →
mirage3–13-0.0215%28 Sept →
cache7–13-0.0020%28 Sept →
ancient4–130.0313%28 Sept →
eldorado8–80.0032%28 Sept →
inferno8–80.1115%28 Sept →
inferno9–50.2332%28 Sept →
eldorado8–80.0319%27 Sept →
inferno7–90.0716%27 Sept →
anubis13–70.0910%26 Sept →
inferno13–90.0417%26 Sept →
anubis13–30.1016%26 Sept →
inferno9–60.1221%26 Sept →
inferno0–9-0.300%26 Sept →
inferno10–13-0.0415%25 Sept →
ancient13–50.0517%25 Sept →
inferno9–130.0215%25 Sept →
inferno7–130.0326%25 Sept →
dust217–190.0419%25 Sept →
mirage13–20.0616%25 Sept →
inferno7–90.0811%25 Sept →
anubis10–130.0316%24 Sept →
cache3–13-0.0215%24 Sept →
ancient13–30.0923%24 Sept →
inferno5–90.0832%24 Sept →
mirage11–20.0523%23 Sept →
ancient13–50.1131%23 Sept →
anubis13–80.0511%23 Sept →
inferno5–9-0.1017%23 Sept →
overpass3–9-0.0122%21 Sept →
cache13–90.1529%21 Sept →
anubis13–70.0619%21 Sept →
eldorado9–30.3429%21 Sept →
inferno3–9-0.0128%21 Sept →
inferno9–20.3046%20 Sept →
eldorado8–80.0518%20 Sept →
eldorado5–90.0117%19 Sept →
inferno9–70.0325%19 Sept →
debris8–80.0613%19 Sept →
inferno7–130.0229%19 Sept →
mirage9–8-0.0215%19 Sept →
cache4–130.0530%19 Sept →
eldorado2–9-0.2317%19 Sept →
anubis5–130.0115%19 Sept →
inferno8–80.1248%19 Sept →
anubis3–130.0822%18 Sept →
ancient22–180.0710%18 Sept →
cache13–110.0618%18 Sept →
inferno1–9-0.1325%18 Sept →
anubis8–130.0917%18 Sept →
inferno9–60.1310%18 Sept →
inferno8–130.1525%16 Sept →
eldorado5–90.0326%16 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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