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Sunday, October 11 · typical odds for a Sunday (too early for a weather forecast) · issued Mon 8:00 PM ET · 7 nonstops

Sun, Oct 11: UA 4674 at 10:05 is the safest bet, 16% chance of being 15+ min late; evening flights run 25–38%.

Safest bet that day UA 4674 DEN 10:05 → RAP 11:30 · 16% chance 15+ min late · usually 81% on time Riskiest UA 2781 DEN 21:10 → RAP 22:25 · 38% chance 15+ min late · usually 37% on time

Every nonstop on Sun, Oct 11

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.

UA 4674 United flown by SkyWest Flight history → DEN 10:05 RAP 11:30 16% 5% 0.8% 81%
UA 1585 United DEN 11:08 RAP 12:26 18% 6% 0.6% no record
UA 5556 United flown by SkyWest Flight history → DEN 13:25 RAP 14:46 20% 7% 0.8% 81%
UA 5891 United flown by SkyWest Flight history → DEN 14:53 RAP 16:29 25% 10% 0.8% 74%
UA 5303 United flown by SkyWest Flight history → DEN 21:16 RAP 22:52 25% 11% 1.3% 81%
UA 5225 United flown by SkyWest Flight history → DEN 17:55 RAP 19:24 33% 16% 1.1% 53%
UA 2781 United Flight history → DEN 21:10 RAP 22:25 38% 17% 0.7% 37%
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 Sun, Oct 11 (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