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Saturday, October 10 · typical odds for a Saturday (too early for a weather forecast) · issued Sun 8:00 PM ET · connections flying that day

Sat, Oct 10: Delta via Atlanta, leaving 07:00, is the safest bet: 85% chance of reaching St Louis on time.

Best connections that day, one ticket

Ranked by chance you reach St Louis on time, from each leg’s forecast for the day. Total trip = scheduled departure to arrival (St Louis is 1 h behind Myrtle Beach). Layovers up to 4 hours. Pick a connection for its 12-month details.

DeltaDetails → MYR 07:00 → ATL 08:23DL 3162 3h 29m Atlanta ATL 11:52 → STL 12:30DL 566 6h 30m 98% 85%
DeltaDetails → MYR 11:37 → ATL 12:59DL 3047 2h 53m Atlanta ATL 15:52 → STL 16:39DL 543 6h 02m 99% 83%
AmericanDetails → MYR 08:09 → CLT 09:11AA 3296 3h 02m Charlotte CLT 12:13 → STL 13:10AA 3096 6h 01m 98% 79%
DeltaDetails → MYR 11:34 → DTW 13:31DL 1145 1h 02m Detroit DTW 14:33 → STL 15:17DL 1371 4h 43m 90% 79%
DeltaDetails → MYR 15:50 → ATL 17:15DL 3182 2h 39m Atlanta ATL 19:54 → STL 20:37DL 2833 5h 47m 96% 77%
AmericanDetails → MYR 19:23 → CLT 20:29AA 1417 2h 27m Charlotte CLT 22:56 → STL 23:58AA 459 5h 35m 94% 75%
AmericanDetails → MYR 13:01 → CLT 14:17AA 5883 · flown by Piedmont 2h 19m Charlotte CLT 16:36 → STL 17:38AA 2686 5h 37m 100% 74%
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 Sat, Oct 10 (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