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Friday, October 9 · typical odds for a Friday (too early for a weather forecast) · issued Sun 4:00 PM ET · 3 nonstops

Fri, Oct 9: UA 2192 at 06:15 is the safest bet, 9% chance of being 15+ min late; the others run 25–34%.

Safest bet that day UA 2192 BWI 06:15 → SFO 09:05 · 9% chance 15+ min late · usually 94% on time Riskiest WN 1101 BWI 14:50 → SFO 17:30 · 34% chance 15+ min late · usually 22% on time

Every nonstop on Fri, Oct 9

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 2192 United Flight history → BWI 06:15 SFO 09:05 9% 2% 0.6% 94%
UA 504 United Flight history → BWI 18:59 SFO 21:50 25% 9% 0.6% 56%
WN 1101 Southwest Flight history → BWI 14:50 SFO 17:30 34% 11% 0.5% 22%

Alternatives with one stop that day

All connections →
DeltaDetails → BWI 06:20 → MSP 07:54DL 2872 1h 30m Minneapolis MSP 09:24 → SFO 11:32DL 2078 8h 12m 97% 78%
UnitedDetails → BWI 06:15 → ORD 07:30UA 709 1h 20m Chicago ORD 08:50 → SFO 11:38UA 2610 8h 23m 99% 77%
DeltaDetails → BWI 05:40 → ATL 07:31DL 2950 54m Atlanta ATL 08:25 → SFO 10:20DL 693 7h 40m 91% 77%
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 Fri, Oct 9 (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