UA1686 United Airlines - Flight Status

Which is the frequency of flight UA1686?
The flight UA1686 is scheduled to flight on Tuesday, Wednesday, Saturday on a weekly basis.

Which is the distance of flight UA1686?
The distance between the two airports is 627 miles.

Which is the flight time of flight UA1686?
The scheduled flight time gate to gate is: 02:00 hours.
The real flight time gate to gate on average is: 01:54 hours.

Are the departure airport and arrival airport at the same Time Zone?
No, each airport is in a different timezone. The times shown above, are presented in the local time of each respective airport.
Current Time in Las Vegas: 2025-10-25 17:47:18
Current Time in Denver: 2025-10-25 18:47:18

The following airlines serves the same route between Las Vegas and Denver:

Frontier Airlines
- Flight Number: F91994. (On Time performance: 87 - Average Delay: 8 minutes)
- Flight Number: F92016. (On Time performance: 84 - Average Delay: 16 minutes)
- Flight Number: F92350. (On Time performance: 71 - Average Delay: 12 minutes)
- Flight Number: F93540. (On Time performance: 57 - Average Delay: 45 minutes)
- Flight Number: F94612. (On Time performance: 65 - Average Delay: 41 minutes)

United Airlines
- Flight Number: UA1291. (On Time performance: 59 - Average Delay: 27 minutes)
- Flight Number: UA1511. (On Time performance: 89 - Average Delay: 4 minutes)
- Flight Number: UA1642. (On Time performance: 100 - Average Delay: 2 minutes)
- Flight Number: UA1704. (On Time performance: 79 - Average Delay: 19 minutes)
- Flight Number: UA1715. (On Time performance: 86 - Average Delay: 7 minutes)
- Flight Number: UA1987. (On Time performance: 100 - Average Delay: 1 minutes)
- Flight Number: UA2108. (On Time performance: 58 - Average Delay: 27 minutes)
- Flight Number: UA529. (On Time performance: 56 - Average Delay: 16 minutes)
- Flight Number: UA596. (On Time performance: 98 - Average Delay: 2 minutes)

Southwest Airlines
- Flight Number: WN1532.
- Flight Number: WN1699. (On Time performance: 71 - Average Delay: 26 minutes)
- Flight Number: WN1873. (On Time performance: 61 - Average Delay: 17 minutes)
- Flight Number: WN1981. (On Time performance: 100 - Average Delay: 1 minutes)
- Flight Number: WN2124. (On Time performance: 78 - Average Delay: 9 minutes)
- Flight Number: WN2295. (On Time performance: 60 - Average Delay: 31 minutes)
- Flight Number: WN2618. (On Time performance: 81 - Average Delay: 9 minutes)
- Flight Number: WN2820. (On Time performance: 78 - Average Delay: 8 minutes)
- Flight Number: WN2862.
- Flight Number: WN3042. (On Time performance: 50 - Average Delay: 47 minutes)
- Flight Number: WN3068. (On Time performance: 20 - Average Delay: 30 minutes)
- Flight Number: WN3147. (On Time performance: 36 - Average Delay: 48 minutes)
- Flight Number: WN3149. (On Time performance: 58 - Average Delay: 19 minutes)
- Flight Number: WN3229. (On Time performance: 89 - Average Delay: 5 minutes)
- Flight Number: WN3258. (On Time performance: 65 - Average Delay: 20 minutes)
- Flight Number: WN3302.
- Flight Number: WN3512. (On Time performance: 93 - Average Delay: 5 minutes)
- Flight Number: WN3889. (On Time performance: 47 - Average Delay: 31 minutes)
- Flight Number: WN4613. (On Time performance: 57 - Average Delay: 51 minutes)
- Flight Number: WN4936. (On Time performance: 86 - Average Delay: 11 minutes)
- Flight Number: WN513. (On Time performance: 88 - Average Delay: 4 minutes)
- Flight Number: WN563. (On Time performance: 48 - Average Delay: 19 minutes)
- Flight Number: WN765. (On Time performance: 65 - Average Delay: 25 minutes)
- Flight Number: WN874. (On Time performance: 33 - Average Delay: 40 minutes)

We have gathered data from recent months and present below an analysis of how timely the flights have been.

Delays analyzed by Week: It is not possible to calculate the On-Time Performance for this flight accurately by weekday due to insufficient or non-representative data, as doing so could lead to misleading conclusions
Delays analyzed by Month: It is not possible to calculate the On-Time Performance for this flight accurately by month due to insufficient or non-representative data, as doing so could lead to misleading conclusions