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Thursday, October 8 · typical odds for a Thursday (too early for a weather forecast) · issued Sun 12:00 PM ET · 3 nonstops

Thu, Oct 8 looks like a normal day here: all 3 nonstops are 11–16% likely to arrive 15+ min late.

Safest bet that day UA 462 PDX 07:13 → IAH 13:30 · 11% chance 15+ min late · usually 92% on time Riskiest UA 1927 PDX 13:02 → IAH 19:21 · 16% chance 15+ min late · usually 77% on time

Every nonstop on Thu, Oct 8

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 462 United Flight history → PDX 07:13 IAH 13:30 11% 4% 0.6% 92%
AS 1420 Alaska Flight history → PDX 07:05 IAH 13:35 12% 3% 0.7% 84%
UA 1927 United Flight history → PDX 13:02 IAH 19:21 16% 5% 0.7% 77%

Alternatives with one stop that day

All connections →
DeltaDetails → PDX 05:45 → SLC 08:33DL 1270 57m Salt Lake City SLC 09:30 → IAH 13:42DL 1532 5h 57m 95% 83%
DeltaDetails → PDX 09:45 → SLC 12:33DL 1203 1h 12m Salt Lake City SLC 13:45 → IAH 17:53DL 1299 6h 08m 94% 78%
UnitedDetails → PDX 08:50 → DEN 12:24UA 2375 1h 06m Denver DEN 13:30 → IAH 17:04UA 1829 6h 14m 94% 78%
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 Thu, Oct 8 (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