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Monday, October 5 · our forecast odds · issued Sun 8:00 PM ET · 10 nonstops

Tomorrow: WN 1118 at 06:45 is the safest bet, 5% chance of being 15+ min late; evening flights run 19–23%.

Safest bet that day WN 1118 BWI 06:45 → PVD 08:08 · 5% chance 15+ min late Riskiest WN 2967 BWI 19:25 → PVD 20:48 · 23% chance 15+ min late
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 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.

WN 1118 Southwest BWI 06:45 PVD 08:08 5% 1% 0.5% no record
WN 4821 Southwest Flight history → BWI 07:10 PVD 08:30 6% 1% 0.5% 93%
WN 1119 Southwest BWI 10:28 PVD 11:51 8% 2% 0.6% no record
WN 4628 Southwest Flight history → BWI 10:45 PVD 12:05 9% 3% 0.6% 85%
WN 3260 Southwest BWI 11:35 PVD 12:58 12% 3% 0.6% no record
WN 1121 Southwest BWI 14:24 PVD 15:47 17% 4% 0.6% no record
WN 823 Southwest Flight history → BWI 13:15 PVD 14:35 18% 3% 0.6% 85%
WN 1062 Southwest Flight history → BWI 16:55 PVD 18:20 19% 5% 0.6% 77%
WN 1063 Southwest Flight history → BWI 19:25 PVD 21:00 21% 6% 0.6% 65%
WN 2967 Southwest BWI 19:25 PVD 20:48 23% 5% 0.6% no record
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