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Thursday, October 8 · typical odds for a Thursday (too early for a weather forecast) · issued Sun 12:00 PM ET · 10 nonstops

Thu, Oct 8: WN 396 at 06:01 is the safest bet, 3% chance of being 15+ min late; evening flights run 17–22%.

Safest bet that day WN 396 AUS 06:01 → PHX 06:34 · 3% chance 15+ min late Riskiest WN 2023 AUS 18:26 → PHX 19:00 · 22% chance 15+ min late

Every nonstop on Thu, Oct 8

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.

WN 396 Southwest AUS 06:01 PHX 06:34 3% 1% 0.6% no record
WN 397 Southwest AUS 08:38 PHX 09:14 6% 2% 0.6% no record
WN 4472 Southwest AUS 10:39 PHX 11:14 6% 2% 0.6% no record
AA 455 American Flight history → AUS 08:38 PHX 09:31 9% 4% 0.6% 90%
OO 3535 SkyWest AUS 08:05 PHX 08:46 11% 5% 0.6% no record
AA 2042 American Flight history → AUS 12:04 PHX 12:28 14% 8% 0.6% 83%
AA 1059 American AUS 14:25 PHX 15:07 14% 9% 0.6% no record
WN 399 Southwest AUS 13:49 PHX 14:26 15% 5% 0.6% no record
WN 3484 Southwest AUS 16:46 PHX 17:22 17% 7% 0.6% no record
WN 2023 Southwest AUS 18:26 PHX 19:00 22% 8% 0.6% no record
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 Thu, Oct 8 (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