Tuesday, October 6 · our forecast odds · issued Mon 10:00 AM ET · 6 nonstops

Tomorrow looks like a normal day here: all 2 nonstops are 11–13% likely to arrive 15+ min late.

Safest bet that day OH 5019 CLT 12:32 → HSV 13:00 · 11% chance 15+ min late Riskiest AA 5485 CLT 19:50 → HSV 20:12 · 13% chance 15+ min late · usually 79% on time

Against a calm day 12% average chance a nonstop arrives 15+ min late; 13% for the same flights on a calm-weather day

Every nonstop on Tue, Oct 6

12-month record →

Ranked by the chance of arriving 15+ minutes late, 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.


OH 5019 PSA	CLT 12:32	HSV 13:00	11%	3%	0.7%	no record
AA 5485 American flown by PSA Flight history →	CLT 19:50	HSV 20:12	13%	3%	0.7%	79%
AA 5806 American flown by Piedmont no forecast: 12-month record	CLT 13:30	HSV 14:12	16%	3%	1.4%	84%
AA 5811 American flown by Piedmont no forecast: 12-month record	CLT 17:55	HSV 18:37	23%	8%	2.9%	77%
AA 5810 American flown by Piedmont no forecast: 12-month record	CLT 10:02	HSV 10:42	25%	3%	1.4%	75%
AA 5807 American flown by Piedmont no forecast: 12-month record	CLT 15:27	HSV 16:09	35%	14%	0.0%	65%

How these are worked out. Each flight’s odds are our forecast for that day; 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 Tue, Oct 6 (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