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Sunday, October 11 · typical odds for a Sunday (too early for a weather forecast) · issued Mon 12:00 AM ET · 4 nonstops

Sun, Oct 11: AS 707 at 07:24 is the safest bet, 19% chance of being 15+ min late; evening flights run 33–43%.

Safest bet that day AS 707 MCO 07:24 → SAN 09:23 · 19% chance 15+ min late Riskiest WN 352 MCO 18:20 → SAN 20:19 · 43% chance 15+ min late

Every nonstop on Sun, Oct 11

12-month record →

Ranked by the chance of arriving 15+ minutes late (typical odds: the weather this date has had in past years), 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.

AS 707 Alaska MCO 07:24 SAN 09:23 19% 3% 1.3% no record
WN 2311 Southwest MCO 09:00 SAN 11:00 27% 4% 0.8% no record
AS 397 Alaska Flight history → MCO 19:20 SAN 21:27 33% 9% 1.5% 74%
WN 352 Southwest MCO 18:20 SAN 20:19 43% 12% 1.1% no record

Alternatives with one stop that day

All connections →
DeltaDetails → MCO 05:30 → ATL 07:05DL 1548 1h 00m Atlanta ATL 08:05 → SAN 09:26DL 725 6h 56m 96% 79%
DeltaDetails → MCO 09:05 → ATL 10:45DL 1505 1h 05m Atlanta ATL 11:50 → SAN 13:08DL 540 7h 03m 91% 69%
UnitedDetails → MCO 09:10 → IAH 10:45UA 2611 1h 15m Houston IAH 12:00 → SAN 13:21UA 2399 7h 11m 92% 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