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Monday, October 12 · typical odds for a Monday (too early for a weather forecast) · issued Tue 12:00 AM ET · 3 nonstops

Mon, Oct 12: DL 375 at 21:55 is the safest bet, 12% chance of being 15+ min late; the others run 18–27%.

Safest bet that day DL 375 LIH 21:55 → SEA 06:40 · 12% chance 15+ min late · usually 89% on time Riskiest AS 234 LIH 12:31 → SEA 21:21 · 27% chance 15+ min late · usually 79% 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.

DL 375 Delta Flight history → LIH 21:55 SEA 06:40 12% 5% 0.9% 89%
AS 213 Alaska Flight history → LIH 22:28 SEA 07:12 18% 6% 0.9% 82%
AS 234 Alaska Flight history → LIH 12:31 SEA 21:21 27% 8% 0.9% 79%

Alternatives with one stop that day

All connections →
AlaskaDetails → LIH 09:54 → OGG 11:01AS 1150 1h 54m Kahului OGG 12:55 → SEA 21:25AS 930 8h 31m 97% 69%
AlaskaDetails → LIH 09:04 → HNL 09:42AS 1034 1h 55m Honolulu HNL 11:37 → SEA 20:32AS 267 8h 28m 98% 66%
AlaskaDetails → LIH 09:46 → HNL 10:24AS 1044 2h 02m Honolulu HNL 12:26 → SEA 20:57AS 9577 8h 11m 98% 59%
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