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Saturday, October 10 · typical odds for a Saturday (too early for a weather forecast) · issued Sun 12:00 AM ET · 9 nonstops

Sat, Oct 10: WN 1485 at 06:13 is the safest bet, 3% chance of being 15+ min late; the others run 7–17%.

Safest bet that day WN 1485 DCA 06:13 → BNA 07:05 · 3% chance 15+ min late Riskiest WN 546 DCA 17:57 → BNA 18:58 · 17% chance 15+ min late

Every nonstop on Sat, Oct 10

12-month record →

Ranked by the chance of arriving 15+ minutes late (typical odds: the weather this date has had in past years), 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 1485 Southwest DCA 06:13 BNA 07:05 3% 1% 0.6% no record
YX 4367 Republic DCA 00:54 BNA 01:50 7% 2% 0.7% no record
DL 5708 Delta flown by Republic Flight history → DCA 10:10 BNA 11:20 8% 2% 0.7% 89%
WN 580 Southwest DCA 10:17 BNA 11:18 8% 1% 0.6% no record
DL 5777 Delta flown by Republic Flight history → DCA 15:10 BNA 16:15 10% 3% 0.7% 76%
AA 5085 American flown by PSA Flight history → DCA 08:04 BNA 09:17 12% 4% 1.0% 64%
MQ 4276 Envoy DCA 13:42 BNA 14:41 14% 3% 0.9% no record
WN 1869 Southwest DCA 14:42 BNA 15:43 15% 4% 0.7% no record
WN 546 Southwest DCA 17:57 BNA 18:58 17% 5% 0.7% no record
How these are worked out. Each flight’s odds are our forecast for that day (typical odds until the weather forecast covers it); 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 Sat, Oct 10 (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