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Saturday, October 10 · typical odds for a Saturday (too early for a weather forecast) · issued Sun 12:00 AM ET · 3 nonstops

Sat, Oct 10: UA 1613 at 06:30 is the safest bet, 10% chance of being 15+ min late; the others run 13–30%.

Safest bet that day UA 1613 EWR 06:30 → PDX 09:28 · 10% chance 15+ min late · usually 93% on time Riskiest UA 560 EWR 20:03 → PDX 23:01 · 30% chance 15+ min late · usually 74% on time

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 1613 United Flight history → EWR 06:30 PDX 09:28 10% 2% 1.0% 93%
AS 1399 Alaska EWR 06:28 PDX 09:35 13% 2% 1.2% no record
UA 560 United Flight history → EWR 20:03 PDX 23:01 30% 10% 0.8% 74%

Alternatives with one stop that day

All connections →
DeltaDetails → EWR 11:42 → MSP 13:41DL 2864 2h 17m Minneapolis MSP 15:58 → PDX 17:35DL 2008 8h 53m 96% 87%
DeltaDetails → EWR 06:00 → DTW 07:50DL 2596 1h 04m Detroit DTW 08:54 → PDX 10:36DL 2171 7h 36m 94% 84%
DeltaDetails → EWR 07:05 → ATL 09:20DL 1673 1h 40m Atlanta ATL 11:00 → PDX 12:58DL 2206 8h 53m 94% 82%
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