AA4486 American Airlines - Flight Status

Which is the frequency of flight AA4486?
The flight AA4486 is scheduled to flight on daily basis.

Which is the distance of flight AA4486?
The distance between the two airports is 864 miles.

Which is the flight time of flight AA4486?
The scheduled flight time gate to gate is: 03:08 hours.
The real flight time gate to gate on average is: 03:01 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 Boston: 2026-04-26 11:57:49
Current Time in Chicago: 2026-04-26 10:57:49

The following airlines serves the same route between Boston and Chicago:

American Airlines
- Flight Number: AA1009. (On Time performance: 61 - Average Delay: 23 minutes)
- Flight Number: AA1040. (On Time performance: 72 - Average Delay: 12 minutes)
- Flight Number: AA1245. (On Time performance: 83 - Average Delay: 17 minutes)
- Flight Number: AA1328. (On Time performance: 92 - Average Delay: 5 minutes)
- Flight Number: AA1385. (On Time performance: 50 - Average Delay: 47 minutes)
- Flight Number: AA1509. (On Time performance: 94 - Average Delay: 8 minutes)
- Flight Number: AA2114. (On Time performance: 89 - Average Delay: 9 minutes)
- Flight Number: AA2390. (On Time performance: 72 - Average Delay: 24 minutes)
- Flight Number: AA2489. (On Time performance: 73 - Average Delay: 61 minutes)
- Flight Number: AA2815. (On Time performance: 50 - Average Delay: 48 minutes)
- Flight Number: AA2976. (On Time performance: 100 - Average Delay: 1 minutes)
- Flight Number: AA3209. (On Time performance: 67 - Average Delay: 10 minutes)
- Flight Number: AA3711. (On Time performance: 76 - Average Delay: 23 minutes)
- Flight Number: AA425. (On Time performance: 46 - Average Delay: 48 minutes)
- Flight Number: AA4358. (On Time performance: 81 - Average Delay: 19 minutes)
- Flight Number: AA4413. (On Time performance: 70 - Average Delay: 42 minutes)
- Flight Number: AA4628. (On Time performance: 69 - Average Delay: 32 minutes)

JetBlue
- Flight Number: B6311. (On Time performance: 78 - Average Delay: 11 minutes)
- Flight Number: B6811. (On Time performance: 61 - Average Delay: 36 minutes)

Delta Air Lines
- Flight Number: DL2570. (On Time performance: 85 - Average Delay: 8 minutes)
- Flight Number: DL2646. (On Time performance: 60 - Average Delay: 35 minutes)
- Flight Number: DL2804. (On Time performance: 25 - Average Delay: 86 minutes)
- Flight Number: DL2816. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: DL5606. (On Time performance: 76 - Average Delay: 15 minutes)
- Flight Number: DL5858. (On Time performance: 62 - Average Delay: 32 minutes)

United Airlines
- Flight Number: UA1015. (On Time performance: 63 - Average Delay: 39 minutes)
- Flight Number: UA1349. (On Time performance: 88 - Average Delay: 5 minutes)
- Flight Number: UA1414. (On Time performance: 92 - Average Delay: 4 minutes)
- Flight Number: UA1732. (On Time performance: 89 - Average Delay: 26 minutes)
- Flight Number: UA2040. (On Time performance: 56 - Average Delay: 23 minutes)
- Flight Number: UA2744. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: UA285. (On Time performance: 67 - Average Delay: 21 minutes)
- Flight Number: UA503. (On Time performance: 80 - Average Delay: 31 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: We have gathered available data from last twelve closed months, spanning from April 04, 2025 to June 04, 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.