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Tuesday, October 13 · typical odds for a Tuesday (too early for a weather forecast) · issued Wed 12:00 AM ET · 8 nonstops

Tue, Oct 13: AA 2781 at 05:52 is the safest bet, 8% chance of being 15+ min late; evening flights run 23–35%.

Safest bet that day AA 2781 RDU 05:52 → PHL 07:25 · 8% chance 15+ min late · usually 82% on time Riskiest AA 1441 RDU 17:50 → PHL 19:22 · 35% chance 15+ min late · usually 55% on time

Every nonstop on Tue, Oct 13

12-month record →

Ranked by the chance of arriving 15+ minutes late (typical odds: the weather this date has had in past years), with each flight’s on-time record over Aug 2025 – Jul 2026 beside it. Times are local. Pick a flight for its forecast. Click a column to sort.

AA 2781 American Flight history → RDU 05:52 PHL 07:25 8% 3% 1.4% 82%
AA 896 American Flight history → RDU 07:00 PHL 08:32 10% 4% 1.5% 80%
AA 1759 American RDU 10:38 PHL 12:11 16% 5% 1.0% no record
YX 4752 Republic RDU 19:26 PHL 21:17 23% 9% 1.8% no record
F9 2060 Frontier Flight history → RDU 11:52 PHL 13:30 23% 9% 3.0% 75%
AA 3152 American RDU 12:55 PHL 14:27 26% 7% 1.6% no record
AA 5663 American flown by PSA Flight history → RDU 15:27 PHL 17:07 28% 14% 2.6% 84%worse than usual
AA 1441 American Flight history → RDU 17:50 PHL 19:22 35% 14% 1.1% 55%
How these are worked out. Each flight’s odds are our forecast for that day (typical odds until the weather forecast covers it); flights of airlines we don’t forecast yet use their 12-month record and are marked. Makes the connection: the first flight’s 12-month lateness curve, scaled so its chance of arriving 15+ min late matches the day’s forecast, at the layover minus the 45-minute minimum (90 on separate tickets). Arrives on time: first flight not cancelled × connection made × second flight not cancelled × second flight within 15 minutes, each from the day’s forecast.

About this data: forecast odds from our model for Tue, Oct 13 (newest published update); 12-month records from US DOT on-time data, Aug 2025 – Jul 2026, all US airlines; regional flights count under the airline that sells them. JSON