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Friday, October 9 · typical odds for a Friday (too early for a weather forecast) · issued Mon 12:00 PM ET · 3 nonstops

Fri, Oct 9 looks like a normal day here: all 3 nonstops are 11–15% likely to arrive 15+ min late.

Safest bet that day AA 1847 SJU 05:45 → DFW 10:00 · 11% chance 15+ min late · usually 72% on time Riskiest F9 2219 SJU 06:32 → DFW 10:41 · 15% chance 15+ min late · usually 65% 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.

AA 1847 American Flight history → SJU 05:45 DFW 10:00 11% 4% 0.9% 72%
AA 2742 American Flight history → SJU 00:58 DFW 05:00 14% 6% 0.9% 91%
F9 2219 Frontier Flight history → SJU 06:32 DFW 10:41 15% 6% 1.4% 65%

Alternatives with one stop that day

All connections →
AmericanDetails → SJU 06:00 → MIA 08:55AA 2817 1h 10m Miami MIA 10:05 → DFW 12:17AA 3081 7h 17m 95% 74%
DeltaDetails → SJU 17:50 → ATL 21:49DL 1946 1h 05m Atlanta ATL 22:54 → DFW 00:13 +1DL 818 7h 23m 91% 73%
JetBlueDetails → SJU 05:01 → FLL 07:40B6 754 55m Fort Lauderdale FLL 08:35 → DFW 10:44B6 979 6h 43m 86% 72%
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