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Friday, October 9 · typical odds for a Friday (too early for a weather forecast) · issued Sat 8:00 PM ET · 8 nonstops

Fri, Oct 9: WN 4935 at 07:00 is the safest bet, 3% chance of being 15+ min late; evening flights run 23–34%.

Safest bet that day WN 4935 SNA 07:00 → OAK 08:40 · 3% chance 15+ min late · usually 100% on time Riskiest WN 3853 SNA 18:35 → OAK 20:00 · 34% chance 15+ min late · usually 45% on time

Every nonstop on Fri, Oct 9

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 4935 Southwest Flight history → SNA 07:00 OAK 08:40 3% 1% 0.6% 100%
WN 3848 Southwest Flight history → SNA 08:00 OAK 09:25 4% 1% 0.6% 100%
WN 3849 Southwest Flight history → SNA 10:05 OAK 11:30 8% 2% 0.6% 91%
WN 4986 Southwest Flight history → SNA 12:20 OAK 13:45 17% 5% 0.6% 65%
WN 312 Southwest Flight history → SNA 20:30 OAK 22:00 23% 6% 0.6% 94%worse than usual
WN 170 Southwest Flight history → SNA 16:15 OAK 17:35 31% 6% 0.6% 60%
WN 375 Southwest Flight history → SNA 14:30 OAK 15:50 31% 6% 0.6% 54%
WN 3853 Southwest Flight history → SNA 18:35 OAK 20:00 34% 7% 0.6% 45%
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 Fri, Oct 9 (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