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Sunday, October 11 · typical odds for a Sunday (too early for a weather forecast) · issued Mon 12:00 AM ET · 8 nonstops

Sun, Oct 11: UA 1553 at 05:57 is the safest bet, 7% chance of being 15+ min late; evening flights run 46–51%.

Safest bet that day UA 1553 TYS 05:57 → ORD 06:53 · 7% chance 15+ min late Riskiest MQ 4105 TYS 16:55 → ORD 18:00 · 51% chance 15+ min late

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. Dimmed: airlines we don’t forecast yet, shown with their 12-month record if they usually fly that weekday.

UA 1553 United TYS 05:57 ORD 06:53 7% 5% 1.0% no record
MQ 3716 Envoy TYS 07:59 ORD 08:55 21% 5% 1.5% no record
UA 1577 United TYS 10:38 ORD 11:34 24% 10% 1.1% no record
MQ 4102 Envoy TYS 11:36 ORD 12:32 31% 7% 1.6% no record
OO 6344 SkyWest TYS 20:16 ORD 21:12 46% 18% 4.6% no record
OO 5869 SkyWest TYS 18:09 ORD 19:10 49% 20% 4.0% no record
MQ 4105 Envoy TYS 16:55 ORD 18:00 51% 16% 3.4% no record
UA 4584 United flown by GoJet no forecast: 12-month record TYS 10:18 ORD 11:23 6% 3% 0.0% 94%
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