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Monday, October 12 · typical odds for a Monday (too early for a weather forecast) · issued Tue 12:00 AM ET · 9 nonstops

Mon, Oct 12: UA 488 at 07:02 is the safest bet, 17% chance of being 15+ min late; evening flights run 26–31%.

Safest bet that day UA 488 BUR 07:02 → SFO 08:30 · 17% chance 15+ min late · usually 80% on time Riskiest UA 1453 BUR 13:45 → SFO 15:13 · 34% chance 15+ min late · usually 66% on time

Every nonstop on Mon, Oct 12

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 488 United Flight history → BUR 07:02 SFO 08:30 17% 7% 1.2% 80%
WN 914 Southwest BUR 12:31 SFO 13:57 25% 10% 1.9% no record
WN 1313 Southwest BUR 16:44 SFO 18:10 26% 10% 2.0% no record
UA 2386 United Flight history → BUR 11:39 SFO 13:04 28% 12% 1.0% 52%
UA 520 United BUR 09:52 SFO 11:22 28% 13% 1.2% no record
WN 1146 Southwest BUR 08:19 SFO 09:45 29% 9% 2.1% no record
UA 1066 United BUR 16:08 SFO 17:37 30% 12% 0.9% no record
UA 1508 United Flight history → BUR 18:42 SFO 20:10 31% 13% 1.0% 41%
UA 1453 United Flight history → BUR 13:45 SFO 15:13 34% 13% 1.0% 66%
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 Mon, Oct 12 (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