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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 looks like a normal day here: all 3 nonstops are 15–21% likely to arrive 15+ min late.

Safest bet that day UA 1071 SAN 08:00 → IAD 16:08 · 15% chance 15+ min late · usually 88% on time Riskiest AS 506 SAN 10:46 → IAD 18:57 · 21% chance 15+ min late · usually 86% 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 1071 United Flight history → SAN 08:00 IAD 16:08 15% 3% 0.6% 88%
UA 444 United Flight history → SAN 12:57 IAD 21:05 19% 6% 0.6% 87%
AS 506 Alaska Flight history → SAN 10:46 IAD 18:57 21% 4% 0.7% 86%

Alternatives with one stop that day

All connections →
UnitedDetails → SAN 08:45 → DEN 12:17UA 2476 1h 36m Denver DEN 13:53 → IAD 19:22UA 347 7h 37m 94% 79%
DeltaDetails → SAN 06:15 → DTW 13:48DL 754 59m Detroit DTW 14:47 → IAD 16:22DL 1787 7h 07m 90% 76%
UnitedDetails → SAN 10:11 → IAH 15:39UA 1980 56m Houston IAH 16:35 → IAD 20:46UA 2388 7h 35m 83% 67%
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