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Tuesday, October 6 · our forecast odds · issued Mon 2:00 PM ET · 4 nonstops

Tomorrow: UA 1257 at 08:00 is the safest bet, 10% chance of being 15+ min late; the others run 11–22%.

Safest bet that day UA 1257 MIA 08:00 → SFO 11:03 · 10% chance 15+ min late · usually 90% on time Riskiest AA 2347 MIA 21:01 → SFO 00:01 · 22% chance 15+ min late
Against a calm day 14% average chance a nonstop arrives 15+ min late; 14% for the same flights on a calm-weather day

Every nonstop on Tue, Oct 6

12-month record →

Ranked by the chance of arriving 15+ minutes late, 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 1257 United Flight history → MIA 08:00 SFO 11:03 10% 3% 0.6% 90%
AA 1934 American MIA 07:08 SFO 10:13 11% 4% 0.7% no record
AA 2753 American Flight history → MIA 09:17 SFO 12:00 13% 3% 0.6% 92%
AA 2347 American MIA 21:01 SFO 00:01 22% 7% 0.7% no record

Alternatives with one stop that day

All connections →
UnitedDetails → MIA 07:37 → DEN 10:00UA 2045 1h 21m Denver DEN 11:21 → SFO 13:04UA 1561 8h 27m 96% 84%
DeltaDetails → MIA 06:00 → ATL 08:01DL 1249 1h 39m Atlanta ATL 09:40 → SFO 11:33DL 672 8h 33m 97% 84%
AmericanDetails → MIA 05:25 → DFW 07:40AA 1226 1h 00m Dallas-Fort Worth DFW 08:40 → SFO 10:28AA 1849 8h 03m 92% 80%
How these are worked out. Each flight’s odds are our forecast for that day; 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 Tue, Oct 6 (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