Tuesday, October 6 · our forecast odds · issued Mon 9:00 AM ET · 6 nonstops

Tomorrow: AA 4670 at 09:58 is the safest bet, 5% chance of being 15+ min late; the others run 7–16%.

Safest bet that day AA 4670 JFK 09:58 → CLE 11:45 · 5% chance 15+ min late · usually 87% on time Riskiest B6 2768 JFK 20:45 → CLE 22:32 · 16% chance 15+ min late · usually 68% on time

Against a calm day 9% average chance a nonstop arrives 15+ min late; 9% 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.


AA 4670 American flown by Republic Flight history →	JFK 09:58	CLE 11:45	5%	1%	0.6%	87%
YX 4379 Republic	JFK 15:46	CLE 17:28	7%	2%	0.6%	no record
B6 2768 JetBlue Flight history →	JFK 20:45	CLE 22:32	16%	4%	0.7%	68%
DL 5018 Delta flown by Endeavor no forecast: 12-month record	JFK 09:05	CLE 11:06	13%	4%	3.2%	87%
DL 4975 Delta flown by Endeavor no forecast: 12-month record	JFK 14:30	CLE 16:35	21%	6%	4.8%	79%
DL 4946 Delta flown by Endeavor no forecast: 12-month record	JFK 21:30	CLE 23:43	31%	13%	7.8%	69%

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