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

Mon, Oct 12: AA 1753 at 08:07 is the safest bet, 12% chance of being 15+ min late; evening flights run 29–38%.

Safest bet that day AA 1753 CLT 08:07 → RDU 09:15 · 12% chance 15+ min late Riskiest AA 3178 CLT 22:37 → RDU 23:28 · 38% chance 15+ min late · usually 72% on time

Every nonstop on Mon, Oct 12

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 1753 American CLT 08:07 RDU 09:15 12% 3% 1.1% no record
AA 1768 American CLT 09:08 RDU 10:11 17% 4% 0.9% no record
AA 2688 American Flight history → CLT 11:04 RDU 12:07 19% 4% 0.9% 85%
AA 3072 American CLT 12:57 RDU 14:00 21% 6% 0.9% no record
AA 2704 American Flight history → CLT 14:38 RDU 15:46 24% 6% 0.9% 74%
AA 1904 American Flight history → CLT 18:46 RDU 19:57 29% 8% 1.0% 74%
AA 2799 American CLT 17:17 RDU 18:20 30% 8% 1.0% no record
AA 494 American Flight history → CLT 22:57 RDU 23:58 33% 8% 1.0% 74%
AA 3178 American Flight history → CLT 22:37 RDU 23:28 38% 8% 1.0% 72%
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 Mon, Oct 12 (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