Wednesday, October 7 · typical odds for a Wednesday (too early for a weather forecast) · issued Sat 12:00 PM ET · 3 nonstops

Wed, Oct 7 looks like a normal day here: all 3 nonstops are 8–16% likely to arrive 15+ min late.

Safest bet that day DL 1574 JFK 08:30 → PDX 11:36 · 8% chance 15+ min late · usually 87% on time Riskiest AS 19 JFK 09:59 → PDX 12:41 · 16% chance 15+ min late · usually 75% on time

Every nonstop on Wed, Oct 7

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.


DL 1574 Delta Flight history →	JFK 08:30	PDX 11:36	8%	2%	0.7%	87%
DL 684 Delta Flight history →	JFK 17:59	PDX 21:13	15%	5%	0.7%	68%
AS 19 Alaska Flight history →	JFK 09:59	PDX 12:41	16%	3%	0.8%	75%

Alternatives with one stop that day

All connections →


Delta Details →	JFK 07:15 → MSP 09:25DL 2390	1h 33m Minneapolis	MSP 10:58 → PDX 12:39DL 1661	8h 24m	95%	89%
Delta Details →	JFK 11:14 → SLC 14:21DL 917	56m Salt Lake City	SLC 15:17 → PDX 16:09DL 1244	7h 55m	84%	76%
Alaska Details →	JFK 16:29 → SEA 20:09AS 31	57m Seattle	SEA 21:06 → PDX 22:02AS 1867	8h 33m	78%	62%

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 Wed, Oct 7 (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