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

Tue, Oct 6 looks like a normal day here: all 3 nonstops are 14–19% likely to arrive 15+ min late.

Safest bet that day OH 5232 CLT 21:47 → TYS 22:54 · 14% chance 15+ min late Riskiest OH 5368 CLT 20:12 → TYS 21:00 · 19% chance 15+ min late
Against a calm day 16% average chance a nonstop arrives 15+ min late; 17% 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. Dimmed: airlines we don’t forecast yet, shown with their 12-month record if they usually fly that weekday.

OH 5232 PSA CLT 21:47 TYS 22:54 14% 4% 0.8% no record
OH 5584 PSA CLT 16:22 TYS 17:31 16% 4% 0.7% no record
OH 5368 PSA CLT 20:12 TYS 21:00 19% 5% 0.7% no record
AA 5953 American flown by Piedmont no forecast: 12-month record CLT 11:11 TYS 12:34 10% 7% 0.0% 90%
AA 5950 American flown by Piedmont no forecast: 12-month record CLT 09:15 TYS 10:38 12% 6% 0.0% 88%
AA 5831 American flown by Piedmont no forecast: 12-month record CLT 14:24 TYS 15:42 18% 11% 0.0% 82%
AA 5909 American flown by Piedmont no forecast: 12-month record CLT 20:35 TYS 21:58 35% 14% 0.0% 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