Lynx vs. Wings prediction: Paige Bueckers projected to score 19 points in Sunday's WNBA game [6/28/2026]
Get Minnesota Lynx vs Dallas Wings predictions for WNBA Sunday.
The Dallas Wings will face the Minnesota Lynx in WNBA action at College Park Center on Sunday, beginning at 2:00 PM ET.
Based on the latest simulation results, Dimers' advanced WNBA model predicts the Lynx as the most likely winner of the Lynx vs. Wings game.
The Wings, powered by Paige Bueckers, Arike Ogunbowale and Azzi Fudd, are set to take on the Lynx, whose lineup includes Kayla McBride, Courtney Williams and Natasha Howard.
Bueckers, the star point guard for the Wings, is expected to deliver a standout performance with a projected 19 points and 1 three.
This article offers an expanded analysis of Sunday's matchup, including best bets and player prop picks.
Lynx vs. Wings prediction: Who will win and cover?
Our leading predictive model currently gives the Lynx a 68.4% chance of beating the Wings.
According to our model, the Lynx (-3.5) have a 55.3% chance of covering the spread, while the 177.5-point over/under has a 65.3% chance of staying under,.
Lynx vs. Wings odds
We have researched the best WNBA odds in America for this game, which are listed here:
| Bet Type | Lynx | Wings |
|---|---|---|
| Spread | -3.5 (-110) | +3.5 (-108) |
| Moneyline | -168 | +155 |
| Total | o177.5 (-108) | u177.5 (-110) |
All odds are correct at the time of publication and are subject to change.
Lynx vs. Wings picks and best bet
After matching our predictions against the best current odds, we can reveal our picks for each of the major markets. Plus, find our best bet for the game below:
| Bet Type | Pick | Bet Now |
|---|---|---|
| Spread | Lynx -3.5 | -110 |
| Moneyline | Lynx | -168 |
| Total | Under 177.5 | -110 |
According to our WNBA best bets, the top play to make on this game is Under 177.5 total points.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Lynx vs. Wings player props
WNBA player props are an exciting way to wager on the Lynx vs. Wings game without necessarily betting on the outcome. We have crunched the numbers to project how each team's leading players will perform at College Park Center.
Kayla McBride is expected to lead the Lynx with 15 points, 3 rebounds and 3 assists, while Paige Bueckers is projected to have 19 points, 3 rebounds and 5 assists for the Wings.
For early game action, the data identifies Paige Bueckers as the most probable player to secure the first basket.
Check out our WNBA player projections for a full range of projected box scores, including points, assists, rebounds and a deeper look at today's WNBA first basket picks.
Lynx prediction
Our model's projected player stats for the Lynx are:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Kayla McBride | 15 | 3 | 3 | 3 | 30 |
| C. Williams | 15 | 5 | 6 | 1 | 36 |
| Natasha Howard | 15 | 8 | 3 | 0 | 34 |
| Olivia Miles | 14 | 5 | 5 | 1 | 32 |
| Nia Coffey | 10 | 7 | 3 | 2 | 28 |
Wings prediction
Projected points, rebounds, assists and three-pointers made for the Wings:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Paige Bueckers | 19 | 3 | 5 | 1 | 37 |
| A. Ogunbowale | 15 | 2 | 4 | 2 | 29 |
| Azzi Fudd | 13 | 2 | 2 | 2 | 25 |
| Jessica Shepard | 13 | 10 | 5 | 0 | 35 |
| Maddy Siegrist | 6 | 3 | 1 | 1 | 12 |
Lynx vs. Wings game-day updates and essential details
Sunday's matchup between the Wings and Lynx at College Park Center is scheduled to commence at 2:00 PM ET.
- Who: Minnesota Lynx vs. Dallas Wings
- Date: Sunday, June 28, 2026
- Time: 2:00 PM ET/11:00AM PT
- Venue: College Park Center
Conclusion
We predict the Lynx, with a 68.4% win probability, will likely beat the Wings in Sunday's WNBA matchup.
Additional tools and information for betting safely can be found in our Responsible Gambling hub.
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Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.
