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NO6873 Flight Status ( Marsa Alam to Milano )

ARRIVED 12 HOUR 41 MINUTES AGO
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Departure (NO6873 Flight Schedule)

Marsa Alam Intl ()

flag Marsa Alam, Egypt

22:40 EEST

Sat 11-Oct-2025

 ON TIME
EEST 00:00:00 DAY
arr   

Arrival (NO6873 Flight Schedule)

Malpensa ()

flag Milano, Italy

02:30 CEST

Sun 12-Oct-2025

 EARLY 29 min
CEST 00:00:00 DAY

Flight Radar Checker NO 6873

Live Flight Tracker Map

Flight NO6873 from Marsa Alam to Milano is operated by Neos. Scheduled time of departure from Marsa Alam Intl is 22:40 EEST and scheduled time of arrival in Malpensa is 02:30 CEST. The duration of the flight is 4 hours 50 minutes.
 

 

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Flight Finder
from Milano to Marsa Alam

Flight Departure Arrival

00:00
Malpensa
()
Marsa Alam Intl
()

01:45
Malpensa
()
Marsa Alam Intl
()

11:04
Malpensa
()
Marsa Alam Intl
()

12:30
Malpensa
()
Marsa Alam Intl
()

13:35
Malpensa
()
Marsa Alam Intl
()

19:05
Malpensa
()
Marsa Alam Intl
()

19:15
Malpensa
()
Marsa Alam Intl
()

21:42
Malpensa
()
Marsa Alam Intl
()

21:50
Malpensa
()
Marsa Alam Intl
()

History Flight Information for NO6873 from Flight Scanner System

Date Flight Departure Airport Arrival Airport Scheduled Plane Estimated
Departure Arrival Departure Arrival
Sat, 11 Oct NO6873 Marsa Alam Intl () Malpensa () 22:40 EEST 02:30 CEST 00:47 EEST 01:59 CEST
Sat, 04 Oct NO6873 Marsa Alam Intl () Malpensa () 23:30 EEST 03:20 CEST 23:58 EEST 03:00 CEST
Sun, 28 Sep NO6873 Marsa Alam Intl () Malpensa () 00:40 EEST 04:30 CEST 01:52 EEST 04:35 CEST
Sat, 20 Sep NO6873 Marsa Alam Intl () Malpensa () 14:45 EEST 18:15 CEST 16:35 EEST 17:47 CEST
Sat, 13 Sep NO6873 Marsa Alam Intl () Malpensa () 14:45 EEST 18:15 CEST 16:38 EEST 17:44 CEST
Sat, 06 Sep NO6873 Marsa Alam Intl () Malpensa () 14:50 EEST 18:40 CEST 17:18 EEST 18:33 CEST

Disclaimer for NO6873 Flight Radar Data

Flight NO6873 from Marsa Alam Intl to Malpensa data is collected from different sources. The data is for informational purposes only and PlaneMapper is not responsible for the accuracy and reliability of flight NO6873 data.