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Friday, October 9 · typical odds for a Friday (too early for a weather forecast) · issued Sun 4:00 PM ET · 8 nonstops

Fri, Oct 9: WN 1379 at 06:00 is the safest bet, 3% chance of being 15+ min late; evening flights run 36–40%.

Safest bet that day WN 1379 DAL 06:00 → PHX 06:30 · 3% chance 15+ min late · usually 97% on time Riskiest WN 3674 DAL 20:35 → PHX 21:05 · 40% chance 15+ min late · usually 32% 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.

WN 1379 Southwest Flight history → DAL 06:00 PHX 06:30 3% 1% 0.7% 97%
WN 4410 Southwest Flight history → DAL 08:50 PHX 09:20 11% 2% 0.7% 84%
WN 1166 Southwest Flight history → DAL 10:25 PHX 10:55 14% 3% 0.8% 64%
WN 1382 Southwest Flight history → DAL 12:10 PHX 12:35 24% 4% 0.8% 82%
WN 4129 Southwest Flight history → DAL 15:20 PHX 15:45 32% 7% 0.9% 50%
WN 4258 Southwest Flight history → DAL 18:50 PHX 19:15 36% 10% 0.8% 23%
WN 4972 Southwest Flight history → DAL 22:15 PHX 22:45 39% 10% 0.9% 67%
WN 3674 Southwest Flight history → DAL 20:35 PHX 21:05 40% 10% 0.9% 32%
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