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Thursday, October 8 · typical odds for a Thursday (too early for a weather forecast) · issued Sun 12:00 PM ET · 6 nonstops

Thu, Oct 8: UA 3417 at 08:24 is the safest bet, 14% chance of being 15+ min late; the others run 18–34%.

Safest bet that day UA 3417 EWR 08:24 → CVG 10:36 · 14% chance 15+ min late · usually 83% on time Riskiest YX 3623 EWR 18:13 → CVG 20:18 · 34% chance 15+ min late

Every nonstop on Thu, Oct 8

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. Dimmed: airlines we don’t forecast yet, shown with their 12-month record if they usually fly that weekday.

UA 3417 United flown by Republic Flight history → EWR 08:24 CVG 10:36 14% 3% 2.0% 83%
UA 3455 United flown by Republic Flight history → EWR 13:54 CVG 15:58 18% 4% 1.3% 85%
G4 364 Allegiant EWR 10:01 CVG 11:56 31% 9% 1.0% no record
YX 3623 Republic EWR 18:13 CVG 20:18 34% 10% 1.5% no record
DL 5026 Delta flown by Endeavor no forecast: 12-month record EWR 09:45 CVG 11:53 14% 5% 1.4% 86%
DL 5065 Delta flown by Endeavor no forecast: 12-month record EWR 20:15 CVG 22:27 27% 15% 8.8% 73%
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 Thu, Oct 8 (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