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Friday, October 9 · typical odds for a Friday (too early for a weather forecast) · issued Sun 4:00 PM ET · 3 nonstops

Fri, Oct 9: DL 1090 at 07:16 is the safest bet, 15% chance of being 15+ min late; the others run 20–43%.

Safest bet that day DL 1090 TPA 07:16 → SEA 10:10 · 15% chance 15+ min late · usually 88% on time Riskiest AS 326 TPA 18:54 → SEA 21:59 · 43% chance 15+ min late · usually 62% 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.

DL 1090 Delta Flight history → TPA 07:16 SEA 10:10 15% 3% 12.9% 88%
AS 640 Alaska Flight history → TPA 07:08 SEA 10:13 20% 3% 15.0% 73%
AS 326 Alaska Flight history → TPA 18:54 SEA 21:59 43% 11% 17.3% 62%

Alternatives with one stop that day

All connections →
DeltaDetails → TPA 07:45 → MSP 10:02DL 2263 1h 08m Minneapolis MSP 11:10 → SEA 13:00DL 889 8h 15m 96% 75%
DeltaDetails → TPA 05:15 → ATL 06:45DL 2330 55m Atlanta ATL 07:40 → SEA 09:54DL 444 7h 39m 95% 74%
SouthwestDetails → TPA 05:00 → DEN 06:40WN 4018 1h 05m Denver DEN 07:45 → SEA 09:45WN 1713 7h 45m 97% 70%
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