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Saturday, October 10 · typical odds for a Saturday (too early for a weather forecast) · issued Sun 12:00 AM ET · 10 nonstops

Sat, Oct 10: WN 2458 at 06:04 is the safest bet, 5% chance of being 15+ min late; evening flights run 16–19%.

Safest bet that day WN 2458 LAX 06:04 → AUS 11:04 · 5% chance 15+ min late Riskiest WN 2460 LAX 14:52 → AUS 19:54 · 31% chance 15+ min late

Every nonstop on Sat, Oct 10

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 2458 Southwest LAX 06:04 AUS 11:04 5% 1% 0.6% no record
DL 946 Delta Flight history → LAX 07:35 AUS 12:38 11% 3% 0.6% 88%
UA 1625 United LAX 08:18 AUS 13:26 14% 5% 0.6% no record
OO 4945 SkyWest LAX 18:34 AUS 23:44 16% 7% 0.8% no record
UA 1496 United LAX 10:48 AUS 15:50 18% 8% 0.6% no record
WN 4842 Southwest LAX 09:22 AUS 14:29 18% 4% 0.6% no record
DL 622 Delta Flight history → LAX 16:00 AUS 20:59 19% 6% 0.6% 78%
DL 986 Delta Flight history → LAX 11:00 AUS 16:07 20% 5% 0.6% 87%
OO 6243 SkyWest LAX 09:35 AUS 14:50 20% 7% 0.5% no record
WN 2460 Southwest LAX 14:52 AUS 19:54 31% 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 Sat, Oct 10 (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