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Friday, October 9 · typical odds for a Friday (too early for a weather forecast) · issued Sun 4:00 PM ET · 8 nonstops

Fri, Oct 9: AA 1977 at 08:00 is the safest bet, 11% chance of being 15+ min late; evening flights run 28–32%.

Safest bet that day AA 1977 CLT 08:00 → DCA 09:33 · 11% chance 15+ min late · usually 93% on time Riskiest AA 3263 CLT 16:47 → DCA 18:22 · 32% chance 15+ min late · usually 52% on time

Every nonstop on Fri, Oct 9

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 1977 American Flight history → CLT 08:00 DCA 09:33 11% 3% 0.8% 93%
AA 2825 American Flight history → CLT 09:21 DCA 10:50 15% 4% 0.8% 77%
AA 5527 American flown by PSA Flight history → CLT 11:15 DCA 12:59 15% 6% 0.7% 77%
AA 2839 American Flight history → CLT 14:34 DCA 16:13 27% 8% 0.7% 66%
AA 1269 American Flight history → CLT 22:27 DCA 23:53 28% 7% 0.9% 64%
AA 2386 American Flight history → CLT 18:22 DCA 20:00 28% 10% 0.8% 58%
AA 527 American Flight history → CLT 20:49 DCA 22:20 31% 9% 0.8% 57%
AA 3263 American Flight history → CLT 16:47 DCA 18:22 32% 10% 0.8% 52%
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 Fri, Oct 9 (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