Tickets
Any day
Sunday, October 11 · typical odds for a Sunday (too early for a weather forecast) · issued Mon 12:00 AM ET · connections flying that day

Sun, Oct 11: WN 311 at 06:54 is the safest bet, 5% chance of being 15+ min late; the others run 32%.

Nonstops that day

All 2 nonstops →
WN 311 Southwest Flight history → DAL 06:54 ECP 08:57 5% 1% 0.6% 80%
WN 493 Southwest DAL 20:35 ECP 22:37 32% 10% 0.9% no record

Best connections that day, one ticket

Ranked by chance you reach Panama City Beach on time, from each leg’s forecast for the day. Total trip = scheduled departure to arrival. Layovers up to 4 hours. Pick a connection for its 12-month details.

DeltaDetails → DAL 06:05 → ATL 09:17DL 516 1h 24m Atlanta ATL 10:41 → ECP 10:48DL 3045 4h 43m 96% 87%
DeltaDetails → DAL 10:07 → ATL 13:16DL 441 2h 45m Atlanta ATL 16:01 → ECP 16:12DL 3094 6h 05m 98% 79%
SouthwestDetails → DAL 12:30 → HOU 13:45WN 25 3h 50m Houston HOU 17:35 → ECP 19:29WN 2529 6h 59m 99% 76%
DeltaDetails → DAL 12:19 → ATL 15:31DL 1115 2h 14m Atlanta ATL 17:45 → ECP 17:55DL 3053 5h 36m 95% 75%
DeltaDetails → DAL 18:39 → ATL 22:00DL 2780 1h 27m Atlanta ATL 23:27 → ECP 23:37DL 3131 4h 58m 83% 67%
DeltaDetails → DAL 15:59 → ATL 19:14DL 512 1h 21m Atlanta ATL 20:35 → ECP 20:46DL 2494 4h 47m 83% 66%
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 Sun, Oct 11 (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