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Friday, October 9 · typical odds for a Friday (too early for a weather forecast) · issued Sun 4:00 PM ET · 7 nonstops

Fri, Oct 9: UA 3425 at 06:45 is the safest bet, 6% chance of being 15+ min late; evening flights run 17–26%.

Safest bet that day UA 3425 ORD 06:45 → ROC 09:37 · 6% chance 15+ min late · usually 92% on time Riskiest AA 6438 ORD 17:14 → ROC 20:12 · 26% chance 15+ min late · usually 59% 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.

UA 3425 United flown by Republic Flight history → ORD 06:45 ROC 09:37 6% 2% 0.7% 92%
AA 3775 American flown by Envoy Flight history → ORD 08:05 ROC 11:00 8% 2% 0.8% 93%
UA 3629 United flown by Republic Flight history → ORD 11:52 ROC 14:49 9% 2% 0.7% 93%
AA 4219 American flown by Envoy Flight history → ORD 21:23 ROC 00:16 17% 4% 1.2% 75%
UA 1239 United Flight history → ORD 13:55 ROC 16:45 20% 6% 0.6% 71%
UA 1568 United Flight history → ORD 18:29 ROC 21:22 24% 7% 0.7% 63%
AA 6438 American flown by SkyWest Flight history → ORD 17:14 ROC 20:12 26% 11% 1.8% 59%
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