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Wednesday, October 7 · our forecast odds · issued Mon 10:00 AM ET · 8 nonstops

Wed, Oct 7 looks like a normal day here: all 7 nonstops are 7–16% likely to arrive 15+ min late.

Safest bet that day OH 5208 CLT 22:07 → CHS 23:24 · 7% chance 15+ min late Riskiest AA 1570 CLT 18:00 → CHS 19:09 · 16% chance 15+ min late
Against a calm day 11% average chance a nonstop arrives 15+ min late; 11% for the same flights on a calm-weather day

Every nonstop on Wed, Oct 7

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 5208 PSA CLT 22:07 CHS 23:24 7% 3% 0.9% no record
OH 5309 PSA CLT 10:34 CHS 11:44 9% 2% 0.7% no record
AA 1731 American Flight history → CLT 08:34 CHS 09:43 9% 2% 0.6% 81%
AA 5222 American flown by PSA Flight history → CLT 12:18 CHS 13:28 11% 3% 0.7% 89%
AA 3117 American Flight history → CLT 15:37 CHS 16:46 14% 4% 0.7% 59%
AA 3064 American Flight history → CLT 20:05 CHS 21:19 14% 4% 0.7% 73%
AA 1570 American CLT 18:00 CHS 19:09 16% 4% 0.7% no record
AA 5817 American flown by Piedmont no forecast: 12-month record CLT 07:10 CHS 08:23 13% 0% 0.0% 87%
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 Wed, Oct 7 (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