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Tuesday, October 6 · our forecast odds · issued Sun 2:00 PM ET · 9 nonstops

Tue, Oct 6: AA 1103 at 07:20 is the safest bet, 8% chance of being 15+ min late; evening flights run 15–18%.

Safest bet that day AA 1103 DFW 07:20 → BNA 09:18 · 8% chance 15+ min late · usually 82% on time Riskiest AA 2244 DFW 15:45 → BNA 17:42 · 19% chance 15+ min late · usually 65% on time
Against a calm day 14% average chance a nonstop arrives 15+ min late; 15% 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 1103 American Flight history → DFW 07:20 BNA 09:18 8% 3% 0.6% 82%
AA 1396 American Flight history → DFW 10:08 BNA 12:16 9% 4% 0.6% 82%
AA 1084 American DFW 12:44 BNA 14:44 13% 6% 0.6% no record
AA 3230 American Flight history → DFW 20:24 BNA 22:23 15% 5% 0.7% 57%
AA 1181 American DFW 15:05 BNA 17:15 16% 6% 0.6% no record
AA 1076 American Flight history → DFW 18:18 BNA 20:17 16% 6% 0.7% 61%
AA 1500 American Flight history → DFW 21:50 BNA 23:50 16% 5% 0.7% 54%
AA 2979 American Flight history → DFW 19:33 BNA 21:32 18% 5% 0.7% 57%
AA 2244 American Flight history → DFW 15:45 BNA 17:42 19% 6% 0.6% 65%
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