Tuesday, October 6 · our forecast odds · issued Sun 8:00 PM ET · 9 nonstops

Tue, Oct 6: AA 1618 at 05:02 is the safest bet, 6% chance of being 15+ min late; evening flights run 15–16%.

Safest bet that day AA 1618 DFW 05:02 → DCA 09:03 · 6% chance 15+ min late · usually 88% on time Riskiest AA 472 DFW 17:15 → DCA 21:31 · 16% chance 15+ min late · usually 65% on time

Against a calm day 11% average chance a nonstop arrives 15+ min late; 11% 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.


AA 1618 American Flight history →	DFW 05:02	DCA 09:03	6%	2%	0.6%	88%
AA 1623 American Flight history →	DFW 07:02	DCA 10:59	7%	2%	0.6%	86%
AA 1177 American Flight history →	DFW 08:40	DCA 12:42	7%	3%	0.6%	85%
AA 2399 American	DFW 09:38	DCA 13:49	8%	3%	0.6%	no record
AA 1414 American Flight history →	DFW 11:54	DCA 15:59	11%	3%	0.6%	70%
AA 2520 American	DFW 14:53	DCA 18:53	15%	5%	0.6%	no record
AA 2077 American Flight history →	DFW 20:00	DCA 23:59	15%	3%	0.7%	64%
AA 2752 American Flight history →	DFW 18:52	DCA 22:59	16%	5%	0.7%	62%
AA 472 American Flight history →	DFW 17:15	DCA 21:31	16%	5%	0.6%	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