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Monday, October 5 · our forecast odds · issued Sun 11:00 AM ET · 9 nonstops

Tomorrow: AA 1412 at 05:34 is the safest bet, 8% chance of being 15+ min late; the others run 9–28%.

Safest bet that day AA 1412 ONT 05:34 → DFW 10:41 · 8% chance 15+ min late · usually 89% on time Riskiest AA 2239 ONT 14:15 → DFW 19:30 · 28% chance 15+ min late · usually 57% on time
Against a calm day 16% average chance a nonstop arrives 15+ min late; 15% for the same flights on a calm-weather day

Every nonstop on Mon, Oct 5

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 1412 American Flight history → ONT 05:34 DFW 10:41 8% 3% 2.1% 89%
AA 2893 American Flight history → ONT 07:00 DFW 12:09 9% 3% 2.1% 87%
AA 1578 American ONT 07:06 DFW 12:23 10% 3% 2.1% no record
AA 1112 American ONT 00:09 DFW 05:06 13% 4% 2.6% no record
AA 2238 American Flight history → ONT 10:25 DFW 15:37 15% 5% 1.3% 81%
F9 4690 Frontier Flight history → ONT 08:17 DFW 13:31 20% 5% 1.0% 76%
AA 3006 American Flight history → ONT 23:59 DFW 05:00 20% 5% 1.8% 70%
AA 2242 American Flight history → ONT 12:35 DFW 17:50 22% 5% 1.3% 75%
AA 2239 American Flight history → ONT 14:15 DFW 19:30 28% 7% 1.2% 57%
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 Mon, Oct 5 (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