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Tuesday, October 6 · our forecast odds · issued Sun 9:00 PM ET · 9 nonstops

Tue, Oct 6: UA 6029 at 08:00 is the safest bet, 7% chance of being 15+ min late; evening flights run 10–18%.

Safest bet that day UA 6029 DEN 08:00 → OKC 10:49 · 7% chance 15+ min late · usually 97% on time Riskiest WN 4731 DEN 18:02 → OKC 20:37 · 18% chance 15+ min late
Against a calm day 12% average chance a nonstop arrives 15+ min late; 12% for the same flights on a calm-weather day

Every nonstop on Tue, Oct 6

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.

UA 6029 United flown by SkyWest Flight history → DEN 08:00 OKC 10:49 7% 3% 0.5% 97%
UA 5324 United flown by SkyWest Flight history → DEN 10:05 OKC 13:01 7% 4% 0.5% 90%
WN 167 Southwest DEN 11:14 OKC 13:52 10% 2% 0.4% no record
UA 4727 United flown by SkyWest Flight history → DEN 20:44 OKC 23:26 10% 4% 0.5% 76%
UA 1656 United DEN 13:23 OKC 16:07 13% 5% 0.5% no record
UA 1184 United Flight history → DEN 17:31 OKC 20:11 15% 5% 0.5% 70%
F9 1928 Frontier Flight history → DEN 15:54 OKC 18:31 15% 6% 0.7% 83%
WN 484 Southwest DEN 15:47 OKC 18:18 16% 3% 0.4% no record
WN 4731 Southwest DEN 18:02 OKC 20:37 18% 5% 0.5% no record
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 Tue, Oct 6 (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