Tickets
Any day
Sunday, October 11 · typical odds for a Sunday (too early for a weather forecast) · issued Tue 4:00 PM ET · 3 nonstops

Sun, Oct 11 looks like a normal day here: all 3 nonstops are 23–29% likely to arrive 15+ min late.

Safest bet that day AS 483 SAN 18:55 → OGG 21:55 · 23% chance 15+ min late · usually 85% on time Riskiest WN 623 SAN 11:00 → OGG 13:56 · 29% chance 15+ min late

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.

AS 483 Alaska Flight history → SAN 18:55 OGG 21:55 23% 7% 0.8% 85%
AS 232 Alaska Flight history → SAN 11:00 OGG 13:50 27% 6% 0.8% 89%worse than usual
WN 623 Southwest SAN 11:00 OGG 13:56 29% 7% 0.6% no record

Alternatives with one stop that day

All connections →
UnitedDetails → SAN 11:01 → SFO 12:47UA 2309 1h 18m San Francisco SFO 14:05 → OGG 16:36UA 2623 8h 35m 85% 66%
AlaskaDetails → SAN 09:07 → HNL 12:18AS 815 1h 24m Honolulu HNL 13:42 → OGG 14:36AS 1126 8h 29m 87% 62%
UnitedDetails → SAN 07:10 → SFO 08:56UA 2274 1h 09m San Francisco SFO 10:05 → OGG 12:34UA 573 8h 24m 76% 61%
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