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Saturday, October 10 · typical odds for a Saturday (too early for a weather forecast) · issued Sun 8:00 PM ET · 8 nonstops

Sat, Oct 10: UA 1553 at 05:58 is the safest bet, 6% chance of being 15+ min late; evening flights run 27–29%.

Safest bet that day UA 1553 TYS 05:58 → ORD 06:51 · 6% chance 15+ min late Riskiest MQ 4105 TYS 16:52 → ORD 17:51 · 29% chance 15+ min late

Every nonstop on Sat, Oct 10

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 05:58 ORD 06:51 6% 4% 0.9% no record
UA 1577 United TYS 10:40 ORD 11:33 20% 8% 0.9% no record
MQ 3716 Envoy TYS 08:04 ORD 09:01 26% 5% 1.5% no record
MQ 4102 Envoy TYS 11:24 ORD 12:14 27% 6% 1.3% no record
OO 5869 SkyWest TYS 18:08 ORD 19:00 27% 8% 1.5% no record
OO 6344 SkyWest TYS 20:20 ORD 21:19 27% 8% 1.6% no record
MQ 4105 Envoy TYS 16:52 ORD 17:51 29% 6% 2.0% 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 Sat, Oct 10 (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