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Sunday, October 11 · typical odds for a Sunday (too early for a weather forecast) · issued Mon 12:00 AM ET · 8 nonstops

Sun, Oct 11: AA 2072 at 07:16 is the safest bet, 13% chance of being 15+ min late; evening flights run 31–35%.

Safest bet that day AA 2072 CLT 07:16 → ORF 08:39 · 13% chance 15+ min late · usually 82% on time Riskiest AA 5622 CLT 20:24 → ORF 21:45 · 35% chance 15+ min late · usually 68% on time

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 2072 American Flight history → CLT 07:16 ORF 08:39 13% 5% 1.0% 82%
AA 1323 American Flight history → CLT 11:30 ORF 12:52 18% 6% 1.9% 92%
OH 5659 PSA CLT 09:07 ORF 10:34 19% 5% 1.1% no record
AA 2911 American Flight history → CLT 13:02 ORF 14:24 22% 8% 1.1% 78%
AA 2674 American Flight history → CLT 22:29 ORF 23:45 31% 9% 1.3% 70%
AA 2651 American CLT 16:05 ORF 17:27 31% 8% 1.3% no record
AA 2519 American Flight history → CLT 18:23 ORF 19:49 34% 11% 1.5% 46%
AA 5622 American flown by PSA Flight history → CLT 20:24 ORF 21:45 35% 10% 1.7% 68%
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