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Today: only flights still to leave (it’s 12:39 am at Chicago)
Tuesday, October 6 · our forecast odds · issued Tue 12:00 AM ET · 9 nonstops

Today looks like a normal day here: all 9 nonstops are 9–16% likely to arrive 15+ min late.

Safest bet today MQ 3660 ORD 15:21 → XNA 17:21 · 9% chance 15+ min late Riskiest G7 4428 ORD 20:30 → XNA 22:19 · 16% chance 15+ min late
Against a calm day 13% average chance a nonstop arrives 15+ min late; 13% for the same flights on a calm-weather day

Every nonstop today

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.

MQ 3660 Envoy ORD 15:21 XNA 17:21 9% 3% 0.7% no record
G7 4498 GoJet ORD 09:01 XNA 10:58 11% 4% 0.6% no record
AA 3941 American flown by Envoy Flight history → ORD 21:26 XNA 23:13 11% 3% 0.7% 87%
AA 3595 American flown by Envoy Flight history → ORD 08:00 XNA 09:46 12% 2% 0.3% 90%
AA 3578 American flown by Envoy Flight history → ORD 18:57 XNA 20:44 13% 3% 0.7% 96%
AA 4028 American flown by Envoy Flight history → ORD 11:47 XNA 13:40 15% 4% 0.4% 78%
G7 4601 GoJet ORD 12:25 XNA 14:13 16% 6% 0.6% no record
G7 4399 GoJet ORD 15:50 XNA 17:38 16% 3% 0.9% no record
G7 4428 GoJet ORD 20:30 XNA 22:19 16% 4% 0.9% no record
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