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Thursday, October 8 · typical odds for a Thursday (too early for a weather forecast) · issued Sun 12:00 PM ET · connections flying that day

Thu, Oct 8: Delta via Atlanta, leaving 06:00, is the safest bet: 89% 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 06:00 → ATL 07:19DL 3162 1h 45m Atlanta ATL 09:04 → STL 09:43DL 1400 4h 43m 97% 89%
DeltaDetails → MYR 11:34 → DTW 13:31DL 1145 3h 14m Detroit DTW 16:45 → STL 17:24DL 2822 6h 50m 99% 85%
DeltaDetails → MYR 11:42 → ATL 13:04DL 3047 2h 13m Atlanta ATL 15:17 → STL 16:06DL 543 5h 24m 99% 84%
DeltaDetails → MYR 13:51 → ATL 15:14DL 3182 1h 56m Atlanta ATL 17:10 → STL 17:53DL 1393 5h 02m 95% 80%
AmericanDetails → MYR 11:19 → PHL 13:08AA 5848 · flown by Piedmont 2h 23m Philadelphia PHL 15:31 → STL 17:04AA 2571 6h 45m 96% 76%
AmericanDetails → MYR 06:51 → CLT 07:58AA 3296 49m Charlotte CLT 08:47 → STL 09:50AA 2497 3h 59m 83% 75%
AmericanDetails → MYR 12:09 → CLT 13:18AA 2431 3h 44m Charlotte CLT 17:02 → STL 18:04AA 2686 6h 55m 84% 64%
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 Thu, Oct 8 (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