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Saturday, October 10 · typical odds for a Saturday (too early for a weather forecast) · issued Sun 12:00 AM ET · 9 nonstops

Sat, Oct 10: WN 4003 at 07:23 is the safest bet, 6% chance of being 15+ min late; evening flights run 16–29%.

Safest bet that day WN 4003 SNA 07:23 → PHX 08:48 · 6% chance 15+ min late Riskiest AA 2454 SNA 12:34 → PHX 14:06 · 30% chance 15+ min late · usually 72% on time

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 4003 Southwest SNA 07:23 PHX 08:48 6% 2% 0.6% no record
AA 628 American Flight history → SNA 06:46 PHX 08:16 11% 4% 0.9% 88%
WN 2185 Southwest SNA 18:49 PHX 20:11 16% 5% 0.7% no record
WN 4004 Southwest SNA 12:13 PHX 13:43 16% 5% 0.6% no record
AA 2360 American SNA 10:01 PHX 11:26 17% 5% 0.7% no record
WN 4006 Southwest SNA 16:38 PHX 18:08 18% 6% 0.6% no record
AA 2283 American SNA 13:23 PHX 14:55 23% 7% 0.7% no record
AA 2463 American Flight history → SNA 16:26 PHX 18:01 29% 8% 0.7% 77%
AA 2454 American Flight history → SNA 12:34 PHX 14:06 30% 8% 0.7% 72%
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