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Today: only flights still to leave (it’s 6:00 am at Memphis)
Monday, October 5 · our forecast odds · issued Mon 5:00 AM ET · 9 nonstops

Today: WN 2860 at 06:10 is the safest bet, 4% chance of being 15+ min late; evening flights run 18–26%.

Safest bet today WN 2860 MEM 06:10 → DEN 07:55 · 4% chance 15+ min late Riskiest WN 4024 MEM 17:10 → DEN 18:40 · 26% chance 15+ min late · usually 34% on time
Against a calm day 15% average chance a nonstop arrives 15+ min late; 12% for the same flights on a calm-weather day

Every nonstop today

12-month record →

Ranked by the chance of arriving 15+ minutes late, 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 2860 Southwest MEM 06:10 DEN 07:55 4% 2% 0.2% no record
WN 579 Southwest Flight history → MEM 09:40 DEN 11:05 9% 2% 0.2% 86%
UA 526 United MEM 08:44 DEN 10:31 9% 4% 0.3% no record
UA 472 United Flight history → MEM 08:51 DEN 10:35 11% 4% 0.2% 88%
UA 498 United Flight history → MEM 15:25 DEN 17:09 17% 4% 0.2% 72%
UA 1347 United MEM 16:10 DEN 17:39 18% 6% 0.2% no record
F9 4625 Frontier Flight history → MEM 19:48 DEN 21:41 19% 8% 0.8% 78%
WN 3016 Southwest MEM 14:50 DEN 16:35 20% 4% 0.2% no record
WN 4024 Southwest Flight history → MEM 17:10 DEN 18:40 26% 5% 0.2% 34%
How these are worked out. Each flight’s odds are our forecast for that day; 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 Mon, Oct 5 (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