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Tuesday, October 6 · our forecast odds · issued Mon 5:00 AM ET · 7 nonstops

Tomorrow: MQ 3651 at 06:04 is the safest bet, 9% chance of being 15+ min late; the others run 10–21%.

Safest bet that day MQ 3651 CHA 06:04 → ORD 07:10 · 9% chance 15+ min late Riskiest MQ 3901 CHA 17:48 → ORD 18:52 · 21% chance 15+ min late
Against a calm day 13% average chance a nonstop arrives 15+ min late; 11% for the same flights on a calm-weather day

Every nonstop on Tue, Oct 6

12-month record →

Ranked by the chance of arriving 15+ minutes late, 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.

MQ 3651 Envoy CHA 06:04 ORD 07:10 9% 3% 0.7% no record
OO 4680 SkyWest CHA 10:07 ORD 11:00 10% 5% 0.7% no record
MQ 3901 Envoy CHA 17:48 ORD 18:52 21% 6% 0.8% no record
UA 4540 United flown by GoJet no forecast: 12-month record CHA 06:00 ORD 06:59 14% 5% 0.0% 86%
UA 4407 United flown by GoJet no forecast: 12-month record CHA 10:27 ORD 11:29 20% 9% 1.3% 80%
UA 4571 United flown by GoJet no forecast: 12-month record CHA 13:53 ORD 14:55 31% 9% 2.8% 69%
UA 4434 United flown by GoJet no forecast: 12-month record CHA 19:07 ORD 20:12 33% 7% 12.9% 67%
How these are worked out. Each flight’s odds are our forecast for that day; 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 Tue, Oct 6 (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