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Sunday, October 11 · typical odds for a Sunday (too early for a weather forecast) · issued Mon 12:00 AM ET · 9 nonstops

Sun, Oct 11: AA 1418 at 05:10 is the safest bet, 6% chance of being 15+ min late; evening flights run 40–42%.

Safest bet that day AA 1418 BOS 05:10 → MIA 08:38 · 6% chance 15+ min late · usually 96% on time Riskiest AA 1184 BOS 18:14 → MIA 21:34 · 42% chance 15+ min late

Every nonstop on Sun, Oct 11

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 1418 American Flight history → BOS 05:10 MIA 08:38 6% 3% 0.9% 96%
AA 1865 American BOS 04:56 MIA 08:20 13% 4% 0.9% no record
AA 1259 American Flight history → BOS 08:00 MIA 11:34 15% 5% 3.7% 90%
DL 1399 Delta Flight history → BOS 07:05 MIA 10:35 15% 4% 1.6% 86%
AA 2980 American Flight history → BOS 10:59 MIA 14:23 25% 6% 6.1% 94%worse than usual
DL 776 Delta Flight history → BOS 15:15 MIA 18:58 32% 10% 1.2% 64%
AA 2145 American BOS 15:36 MIA 19:12 36% 10% 1.2% no record
AA 2143 American BOS 17:33 MIA 21:13 40% 12% 1.2% no record
AA 1184 American BOS 18:14 MIA 21:34 42% 12% 1.2% no record
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 Sun, Oct 11 (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