Home / Sports / Stats Don't Lie: Unpacking WNBA All-Star Selections
Stats Don't Lie: Unpacking WNBA All-Star Selections
5 Jul
Summary
- All-Star voting balances fan, player, and media input.
- Historical WNBA All-Star selections have been impacted by timing.
- Multiple statistical metrics offer insights into player impact.

The WNBA All-Star Game selection process navigates a complex balance between fan preferences and measurable player quality. A weighted voting system, comprising 50% fan votes and 25% each from players and media, aims to reconcile these differing viewpoints. However, this approach often leads to dissatisfaction, as fan favorites may overshadow statistically superior players.
Historically, WNBA All-Star selections have been affected by various factors. The league did not host an All-Star Game until 1999, and for several years, only fan voting determined starters. The introduction of weighted voting in 2018, and subsequent changes, have altered the selection criteria. Furthermore, Olympic years and the 2020 Wubble led to the cancellation of All-Star Games, impacting potential appearances for many players.
Statistical metrics such as Player Impact Estimate (PIE), total plus-minus, Player Efficiency Rating (PER), win shares, net points, and regularized adjusted plus-minus (wRAPM) offer objective insights into player performance. These metrics highlight players who consistently contribute to their teams' success, independent of popularity contests. A'ja Wilson, Breanna Stewart, and Natasha Howard frequently appear at the top of these statistical rankings, suggesting a strong case for their All-Star status.
While the current selection method, combining fan, player, and media votes, has elevated many deserving players, some notable snubs, like Rhyne Howard, Sonia Citron, and Jonquel Jones, highlight the ongoing debate. The discussion continues on whether All-Star selections should prioritize fan appeal or statistical merit, and which metrics best define a player's true impact.