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Tuesday, October 6 · our forecast odds · issued Sun 7:00 PM ET · 8 nonstops

Tue, Oct 6 looks like a normal day here: all 8 nonstops are 3–12% likely to arrive 15+ min late.

Safest bet that day AA 4257 AMA 05:04 → DFW 06:25 · 3% chance 15+ min late · usually 94% on time Riskiest AA 3383 AMA 15:06 → DFW 16:16 · 12% chance 15+ min late · usually 84% on time
Against a calm day 7% average chance a nonstop arrives 15+ min late; 7% for the same flights on a calm-weather day

Every nonstop on Tue, Oct 6

12-month record →

Ranked by the chance of arriving 15+ minutes late, 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 4257 American flown by Envoy Flight history → AMA 05:04 DFW 06:25 3% 3% 0.7% 94%
AA 4258 American flown by Envoy Flight history → AMA 07:22 DFW 08:46 4% 2% 0.7% 89%
AA 3198 American AMA 05:57 DFW 07:31 6% 5% 1.3% no record
AA 3920 American flown by Envoy Flight history → AMA 10:24 DFW 11:34 6% 2% 0.7% 90%
MQ 3337 Envoy AMA 12:46 DFW 13:56 9% 2% 0.7% no record
AA 3789 American flown by Envoy Flight history → AMA 19:18 DFW 20:28 9% 3% 0.8% 70%
AA 3613 American flown by Envoy Flight history → AMA 16:35 DFW 17:52 10% 3% 0.8% 68%
AA 3383 American flown by Envoy Flight history → AMA 15:06 DFW 16:16 12% 3% 0.7% 84%
How these are worked out. Each flight’s odds are our forecast for that day; 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 Tue, Oct 6 (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