AS3428 Alaska Airlines - Flight Status

Which is the frequency of flight AS3428?
The flight AS3428 is currently not scheduled at San Diego Airport.

Which is the distance of flight AS3428?
The distance between the two airports is 259 miles.

Are the departure airport and arrival airport at the same Time Zone?
Yes, both airports are in the same timezone.

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

Alaska Airlines
- Flight Number: AS2017. (On Time performance: 73 - Average Delay: 14 minutes)
- Flight Number: AS2019. (On Time performance: 55 - Average Delay: 38 minutes)
- Flight Number: AS2034. (On Time performance: 79 - Average Delay: 19 minutes)
- Flight Number: AS2046. (On Time performance: 87 - Average Delay: 17 minutes)
- Flight Number: AS2054. (On Time performance: 70 - Average Delay: 24 minutes)
- Flight Number: AS2194. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: AS2263. (On Time performance: 91 - Average Delay: 10 minutes)
- Flight Number: AS3011. (On Time performance: 65 - Average Delay: 21 minutes)
- Flight Number: AS3012. (On Time performance: 78 - Average Delay: 8 minutes)
- Flight Number: AS3028. (On Time performance: 78 - Average Delay: 15 minutes)
- Flight Number: AS3058. (On Time performance: 80 - Average Delay: 9 minutes)
- Flight Number: AS3067. (On Time performance: 72 - Average Delay: 16 minutes)
- Flight Number: AS3314. (On Time performance: 63 - Average Delay: 19 minutes)

Delta Air Lines
- Flight Number: DL3741. (On Time performance: 79 - Average Delay: 15 minutes)

Frontier Airlines
- Flight Number: F91469. (On Time performance: 69 - Average Delay: 27 minutes)

Southwest Airlines
- Flight Number: WN1081. (On Time performance: 80 - Average Delay: 9 minutes)
- Flight Number: WN1546. (On Time performance: 14 - Average Delay: 24 minutes)
- Flight Number: WN170. (On Time performance: 90 - Average Delay: 4 minutes)
- Flight Number: WN1827. (On Time performance: 92 - Average Delay: 2 minutes)
- Flight Number: WN2165. (On Time performance: 69 - Average Delay: 14 minutes)
- Flight Number: WN2224. (On Time performance: 100 - Average Delay: 2 minutes)
- Flight Number: WN2226. (On Time performance: 66 - Average Delay: 14 minutes)
- Flight Number: WN2233. (On Time performance: 71 - Average Delay: 21 minutes)
- Flight Number: WN2514. (On Time performance: 84 - Average Delay: 8 minutes)
- Flight Number: WN2546. (On Time performance: 72 - Average Delay: 11 minutes)
- Flight Number: WN2676. (On Time performance: 46 - Average Delay: 16 minutes)
- Flight Number: WN2690. (On Time performance: 62 - Average Delay: 42 minutes)
- Flight Number: WN2761.
- Flight Number: WN2799. (On Time performance: 86 - Average Delay: 8 minutes)
- Flight Number: WN3105. (On Time performance: 64 - Average Delay: 279 minutes)
- Flight Number: WN4031. (On Time performance: 46 - Average Delay: 213 minutes)
- Flight Number: WN4038. (On Time performance: 29 - Average Delay: 34 minutes)
- Flight Number: WN4254. (On Time performance: 56 - Average Delay: 23 minutes)
- Flight Number: WN4346. (On Time performance: 36 - Average Delay: 31 minutes)

It is not possible to calculate the On-Time Performance for this flight accurately due to insufficient or non-representative data, as doing so could lead to misleading conclusions.

Delays analyzed by Weekday: We have gathered available data from last six months, spanning from August 31, 2025 to December 01, 2025. Next, you can observe the results broken down by day of the week: number of flights analyzed, on-time performance per day, and average delay per day.

Note: We have excluded some days from the graph, since the quantity and quality of the data is not representative enough.

Delays analyzed by Month: We have gathered available data from last twelve closed months, spanning from May 15, 2025 to December 01, 2025. Next, you can observe the results broken down by month: number of flights analyzed, on-time performance per month, and average delay per month.

Note: We have excluded some months from the graph, since the quantity and quality of the data is not representative enough.