Saturday, October 10 · typical odds for a Saturday (too early for a weather forecast) · issued Sun 12:00 AM ET · 7 nonstops

Sat, Oct 10: YX 3532 at 10:43 is the safest bet, 11% chance of being 15+ min late; evening flights run 24–32%.

Safest bet that day YX 3532 ORD 10:43 → RIC 14:04 · 11% chance 15+ min late Riskiest AA 1288 ORD 19:12 → RIC 22:28 · 32% 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.


YX 3532 Republic	ORD 10:43	RIC 14:04	11%	3%	0.8%	no record
UA 3523 United flown by Republic Flight history →	ORD 14:30	RIC 17:49	14%	4%	0.8%	79%
AA 2737 American	ORD 08:56	RIC 12:05	21%	5%	1.0%	no record
OO 6249 SkyWest	ORD 16:54	RIC 20:10	24%	8%	1.2%	no record
UA 1583 United Flight history →	ORD 18:10	RIC 21:27	27%	10%	0.8%	66%
AA 1288 American	ORD 19:12	RIC 22:28	32%	8%	1.1%	no record
UA 4427 United flown by GoJet no forecast: 12-month record	ORD 07:43	RIC 11:02	16%	8%	0.0%	84%

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