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Wednesday, October 7 · typical odds for a Wednesday (too early for a weather forecast) · issued Sat 12:00 PM ET · 10 nonstops

Wed, Oct 7: WN 356 at 07:34 is the safest bet, 9% chance of being 15+ min late; evening flights run 14–23%.

Safest bet that day WN 356 LAX 07:34 → AUS 12:30 · 9% chance 15+ min late Riskiest WN 4153 LAX 18:11 → AUS 23:05 · 23% chance 15+ min late

Every nonstop on Wed, Oct 7

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.

WN 356 Southwest LAX 07:34 AUS 12:30 9% 2% 0.5% no record
DL 946 Delta Flight history → LAX 07:35 AUS 12:38 9% 3% 0.7% 88%
UA 1625 United LAX 08:09 AUS 13:09 12% 4% 0.6% no record
OO 4945 SkyWest LAX 18:38 AUS 23:45 14% 6% 0.6% no record
OO 6243 SkyWest LAX 09:39 AUS 14:55 15% 6% 0.5% no record
DL 622 Delta Flight history → LAX 15:55 AUS 20:58 15% 5% 0.7% 78%
UA 1496 United LAX 10:52 AUS 16:03 16% 6% 0.6% no record
DL 986 Delta Flight history → LAX 10:05 AUS 15:20 16% 4% 0.7% 87%
DL 692 Delta Flight history → LAX 18:32 AUS 23:29 17% 6% 0.7% 73%
WN 4153 Southwest LAX 18:11 AUS 23:05 23% 7% 0.6% no record
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 Wed, Oct 7 (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