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Saturday, October 10 · typical odds for a Saturday (too early for a weather forecast) · issued Sun 8:00 PM ET · 9 nonstops

Sat, Oct 10: UA 2306 at 07:00 is the safest bet, 11% chance of being 15+ min late; evening flights run 13–17%.

Safest bet that day UA 2306 PDX 07:00 → ORD 13:13 · 11% chance 15+ min late · usually 91% on time Riskiest AA 1713 PDX 11:50 → ORD 18:06 · 25% chance 15+ min late

Every nonstop on Sat, Oct 10

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.

UA 2306 United Flight history → PDX 07:00 ORD 13:13 11% 5% 0.7% 91%
AA 3329 American Flight history → PDX 06:03 ORD 12:09 12% 4% 0.7% 89%
UA 2094 United Flight history → PDX 22:40 ORD 04:45 13% 5% 0.6% 90%
UA 2822 United PDX 08:22 ORD 14:20 15% 6% 0.7% no record
UA 1923 United PDX 10:35 ORD 16:47 16% 8% 0.7% no record
AA 1094 American PDX 22:52 ORD 04:33 17% 7% 0.8% no record
AS 324 Alaska Flight history → PDX 07:08 ORD 12:52 19% 5% 1.0% 74%
UA 2266 United PDX 14:18 ORD 20:26 19% 7% 0.6% no record
AA 1713 American PDX 11:50 ORD 18:06 25% 8% 0.7% 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 Sat, Oct 10 (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