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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 22–32% likely to arrive 15+ min late.

Safest bet that day AA 543 PHX 09:00 → RDU 16:24 · 22% chance 15+ min late · usually 58% on time Riskiest WN 706 PHX 12:30 → RDU 19:40 · 32% chance 15+ min late · usually 44% 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 543 American Flight history → PHX 09:00 RDU 16:24 22% 5% 0.7% 58%
AA 2332 American Flight history → PHX 15:41 RDU 22:58 31% 11% 0.8% 74%
WN 706 Southwest Flight history → PHX 12:30 RDU 19:40 32% 8% 0.6% 44%

Alternatives with one stop that day

All connections →
SouthwestDetails → PHX 07:50 → BNA 13:10WN 719 1h 10m Nashville BNA 14:20 → RDU 16:55WN 653 6h 05m 94% 76%
SouthwestDetails → PHX 06:15 → DEN 09:00WN 1706 1h 00m Denver DEN 10:00 → RDU 15:25WN 1691 6h 10m 96% 75%
DeltaDetails → PHX 07:15 → ATL 14:00DL 901 52m Atlanta ATL 14:52 → RDU 16:20DL 1550 6h 05m 88% 74%
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