Tickets
Any day
Saturday, October 10 · typical odds for a Saturday (too early for a weather forecast) · issued Sun 8:00 PM ET · connections flying that day

Sat, Oct 10: one nonstop, WN 1490 at 13:28, with a 16% chance of arriving 15+ min late.

Nonstops that day

All 1 nonstop →
WN 1490 Southwest ELP 13:28 SAN 14:35 16% 5% 0.6% no record

Best connections that day, one ticket

Ranked by chance you reach San Diego on time, from each leg’s forecast for the day. Total trip = scheduled departure to arrival (San Diego is 1 h behind El Paso). Layovers up to 4 hours. Pick a connection for its 12-month details.

UnitedDetails → ELP 07:00 → IAH 10:02UA 6163 · flown by Mesa 1h 58m Houston IAH 12:00 → SAN 13:21UA 2399 7h 21m 98% 76%
UnitedDetails → ELP 07:00 → DEN 08:53UA 724 2h 22m Denver DEN 11:15 → SAN 12:41UA 1940 6h 41m 94% 72%
UnitedDetails → ELP 14:32 → DEN 16:38UA 1728 2h 42m Denver DEN 19:20 → SAN 20:46UA 540 7h 14m 96% 70%
AmericanDetails → ELP 12:21 → PHX 12:56AA 4889 · flown by SkyWest 1h 14m Phoenix PHX 14:10 → SAN 15:31AA 1951 4h 10m 92% 66%
FrontierDetails → ELP 19:26 → DEN 21:38F9 4418 50m Denver DEN 22:28 → SAN 00:03 +1F9 2711 5h 37m 76% 59%
AmericanDetails → ELP 07:05 → DFW 10:00AA 2029 3h 11m Dallas-Fort Worth DFW 13:11 → SAN 14:19AA 1769 8h 14m 95% 54%
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