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Monday, October 12 · typical odds for a Monday (too early for a weather forecast) · issued Tue 12:00 AM ET · 3 nonstops

Mon, Oct 12: UA 2423 at 07:35 is the safest bet, 12% chance of being 15+ min late; the others run 29–35%.

Safest bet that day UA 2423 EWR 07:35 → SNA 10:44 · 12% chance 15+ min late · usually 94% on time Riskiest UA 1690 EWR 17:00 → SNA 20:06 · 35% chance 15+ min late · usually 87% on time

Every nonstop on Mon, Oct 12

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.

UA 2423 United Flight history → EWR 07:35 SNA 10:44 12% 3% 0.9% 94%
UA 2477 United EWR 14:27 SNA 17:15 29% 8% 0.9% no record
UA 1690 United Flight history → EWR 17:00 SNA 20:06 35% 10% 1.1% 87%worse than usual

Alternatives with one stop that day

All connections →
UnitedDetails → EWR 07:42 → DEN 09:58UA 1758 1h 22m Denver DEN 11:20 → SNA 12:51UA 1320 8h 09m 96% 80%
DeltaDetails → EWR 06:00 → DTW 07:50DL 2596 46m Detroit DTW 08:36 → SNA 10:15DL 1857 7h 15m 91% 72%
DeltaDetails → EWR 07:05 → ATL 09:20DL 1673 1h 40m Atlanta ATL 11:00 → SNA 12:31DL 329 8h 26m 94% 72%
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 Mon, Oct 12 (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