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Monday, October 12 · typical odds for a Monday (too early for a weather forecast) · issued Tue 8:00 PM ET · 3 nonstops

Mon, Oct 12: DL 345 at 15:50 is the safest bet, 20% chance of being 15+ min late; the others run 26–35%.

Safest bet that day DL 345 SEA 15:50 → LIH 18:58 · 20% chance 15+ min late · usually 76% on time Riskiest AS 258 SEA 11:28 → LIH 14:40 · 35% chance 15+ min late · usually 69% 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 345 Delta Flight history → SEA 15:50 LIH 18:58 20% 7% 0.8% 76%
AS 237 Alaska Flight history → SEA 18:13 LIH 21:25 26% 6% 0.7% 76%
AS 258 Alaska Flight history → SEA 11:28 LIH 14:40 35% 7% 0.7% 69%

Alternatives with one stop that day

All connections →
AlaskaDetails → SEA 10:07 → HNL 12:48AS 626 2h 29m Honolulu HNL 15:17 → LIH 16:11AS 1113 9h 04m 97% 70%
AlaskaDetails → SEA 12:10 → HNL 14:58AS 899 2h 16m Honolulu HNL 17:14 → LIH 18:08AS 1143 8h 58m 92% 69%
AlaskaDetails → SEA 07:09 → HNL 10:00AS 821 1h 19m Honolulu HNL 11:19 → LIH 12:13AS 1073 8h 04m 86% 62%
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