Sunday, October 11 · typical odds for a Sunday (too early for a weather forecast) · issued Mon 12:00 AM ET · 6 nonstops

Sun, Oct 11: DL 3757 at 07:11 is the safest bet, 13% chance of being 15+ min late; evening flights run 23–29%.

Safest bet that day DL 3757 MKE 07:11 → DTW 09:30 · 13% chance 15+ min late · usually 76% on time Riskiest DL 3675 MKE 18:40 → DTW 20:57 · 29% chance 15+ min late · usually 61% on time

Every nonstop on Sun, Oct 11

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.


DL 3757 Delta flown by SkyWest Flight history →	MKE 07:11	DTW 09:30	13%	6%	0.7%	76%
OO 4044 SkyWest	MKE 09:35	DTW 11:50	15%	6%	0.6%	no record
OO 3981 SkyWest	MKE 13:39	DTW 16:03	19%	7%	0.6%	no record
DL 1343 Delta Flight history →	MKE 16:47	DTW 18:59	23%	6%	0.8%	79%
DL 3675 Delta flown by SkyWest Flight history →	MKE 18:40	DTW 20:57	29%	10%	0.7%	61%
DL 5476 Delta flown by Endeavor no forecast: 12-month record	MKE 13:22	DTW 15:37	33%	18%	0.0%	67%

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 Sun, Oct 11 (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