Toughest WNBA Schedule, 2026
The Schedule Difficulty Index scores every team on five equally-weighted measures of schedule tax — total travel miles, back-to-backs, 3-in-4 windows, time-zone crossings, and rest-disadvantage games — each normalized across the league. Higher is harder. Read the full travel board or how the travel data is calculated.
The difficulty board
Rank 1 = toughest · ties broken by miles
| # | Team | Difficulty | Miles | B2B | 3in4 | Zone | Rest disadv. | Longest trip |
|---|---|---|---|---|---|---|---|---|
| 1 | 33,919 | 3 | 3 | 17 | 3 | 5 gm · 4,069 mi | ||
| 2 | 29,999 | 3 | 3 | 16 | 3 | 4 gm · 4,232 mi | ||
| 3 | 25,971 | 3 | 2 | 16 | 3 | 5 gm · 4,448 mi | ||
| 4 | 38,651 | 1 | 1 | 24 | 1 | 4 gm · 2,519 mi | ||
| 5 | 30,245 | 3 | 1 | 11 | 3 | 5 gm · 5,854 mi | ||
| 6 | 33,893 | 1 | 1 | 25 | 1 | 4 gm · 5,033 mi | ||
| 7 | 31,714 | 2 | 2 | 13 | 2 | 4 gm · 4,678 mi | ||
| 8 | 26,253 | 2 | 2 | 16 | 2 | 5 gm · 5,703 mi | ||
| 9 | 33,483 | 2 | 0 | 13 | 2 | 4 gm · 4,018 mi | ||
| 10 | 35,100 | 1 | 1 | 15 | 1 | 5 gm · 4,202 mi | ||
| 11 | 27,919 | 1 | 1 | 14 | 1 | 6 gm · 5,644 mi | ||
| 12 | 27,534 | 1 | 1 | 13 | 1 | 4 gm · 5,141 mi | ||
| 13 | 26,676 | 1 | 1 | 13 | 1 | 5 gm · 5,526 mi | ||
| 14 | 26,358 | 1 | 1 | 12 | 1 | 6 gm · 5,623 mi | ||
| 15 | 24,543 | 0 | 0 | 21 | 0 | 4 gm · 4,221 mi |
The extremes
The season's heaviest single burdens
Longest road trip
The Golden State Valkyries' longest haul: 5 games, 5,854 miles, Aug 21 – Aug 30.
Longest single hop
The season's longest single hop: Boston to Los Angeles, 2,592 miles.
Worst 7-day stretch
The Dallas Wings' worst week: 4 games and 5,632 miles in seven days, Jun 9 – Jun 15.
Most back-to-backs
The Las Vegas Aces lead the league with 3 back-to-backs.
Most rest-disadvantage games
The Las Vegas Aces face the most rest-disadvantage games — 3 nights on zero rest against a rested opponent.
Per-team travel maps and month-by-month splits live on each team travel page.
The Schedule Difficulty Index is the mean of five metrics — travel miles, back-to-backs, 3-in-4 windows, time-zone crossings, and rest-disadvantage games — each min-max normalized to 0–100 across the league's teams, then averaged with equal weight. See travel data & methodology for definitions, sourcing, and machine-readable downloads.

