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

Sat, Oct 10: AA 4049 at 05:39 is the safest bet, 10% chance of being 15+ min late; evening flights run 21–24%.

Safest bet that day AA 4049 LIT 05:39 → DFW 07:09 · 10% chance 15+ min late · usually 86% on time Riskiest MQ 3520 LIT 17:38 → DFW 19:07 · 24% chance 15+ min late

Every nonstop on Sat, Oct 10

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.

AA 4049 American flown by Envoy Flight history → LIT 05:39 DFW 07:09 10% 5% 1.1% 86%
AA 3641 American flown by Envoy Flight history → LIT 09:08 DFW 10:37 14% 6% 1.0% 79%
OH 5599 PSA LIT 11:45 DFW 13:14 15% 10% 2.2% no record
AA 3898 American flown by Envoy Flight history → LIT 13:35 DFW 14:55 17% 7% 1.0% 68%
AA 3589 American flown by Envoy Flight history → LIT 07:22 DFW 08:54 18% 6% 1.0% 77%
MQ 3505 Envoy LIT 18:51 DFW 20:25 21% 8% 1.8% no record
OH 5615 PSA LIT 16:08 DFW 17:42 22% 13% 2.8% no record
MQ 3520 Envoy LIT 17:38 DFW 19:07 24% 8% 1.4% no record
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