Tickets
Any day
Sunday, October 11 · typical odds for a Sunday (too early for a weather forecast) · issued Mon 12:00 AM ET · 9 nonstops

Sun, Oct 11: AA 3329 at 05:55 is the safest bet, 10% chance of being 15+ min late; evening flights run 18–21%.

Safest bet that day AA 3329 PDX 05:55 → ORD 11:58 · 10% chance 15+ min late · usually 89% on time Riskiest AA 1713 PDX 11:42 → ORD 17:46 · 37% 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.

AA 3329 American Flight history → PDX 05:55 ORD 11:58 10% 6% 0.9% 89%
UA 2306 United Flight history → PDX 07:00 ORD 13:13 11% 5% 0.8% 91%
AS 324 Alaska Flight history → PDX 07:00 ORD 13:13 17% 5% 1.0% 74%
UA 2094 United Flight history → PDX 22:40 ORD 04:45 18% 8% 0.9% 90%
UA 2822 United PDX 08:23 ORD 14:20 20% 11% 1.1% no record
AA 1818 American PDX 23:04 ORD 05:11 21% 11% 1.0% no record
UA 1923 United PDX 10:41 ORD 16:58 30% 16% 1.1% no record
UA 2266 United PDX 14:24 ORD 20:37 35% 18% 1.0% no record
AA 1713 American PDX 11:42 ORD 17:46 37% 18% 1.1% no record
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