Sun vs. Wings prediction: Paige Bueckers projected to score 21 points in Sunday's WNBA game [8/2/2026]
Get Connecticut Sun vs Dallas Wings predictions for WNBA Sunday.
The Dallas Wings will face the Connecticut Sun in WNBA action at College Park Center on Sunday, beginning at 7:00 PM ET.
Dimers' proven WNBA model projects the Wings as the most likely winner in this Sun vs. Wings prediction.
The Wings, powered by Paige Bueckers, Arike Ogunbowale and Jessica Shepard, are set to take on the Sun, whose lineup includes Brittney Griner, Olivia Nelson-Ododa and Leila Lacan.
Bueckers, the young phenom making headlines with the Wings, is expected to shine with a projected 21 points and 1 three.
This article offers a closer look at Sunday's matchup, including best bets and player prop picks.
Sun vs. Wings prediction: Who will win and cover?
Our leading predictive model gives the Wings an 81.4% chance of defeating the Sun.
According to our model, the Sun (+10.5) have a 54.4% chance of covering the spread, while the 173.5-point over/under has a 56.5% chance of staying under,.
Sun vs. Wings odds
We have researched the best WNBA odds in America for this game, which are listed here:
| Bet Type | Sun | Wings |
|---|---|---|
| Spread | +10.5 (+100) | -10.5 (-102) |
| Moneyline | +506 | -525 |
| Total | o173.5 (+100) | u173.5 (+100) |
All odds are correct at the time of publication and are subject to change.
Sun 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 in this matchup. Plus, find our best bet for the game below:
| Bet Type | Pick | Bet Now |
|---|---|---|
| Spread | Sun +10.5 | +100 |
| Moneyline | Sun | +506 |
| Total | Under 173.5 | +100 |
According to our WNBA best bets, the top play to make on this game is Under 173.5 total points.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Sun vs. Wings player props
WNBA player props are a great way to wager on the Connecticut vs. Dallas 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.
Brittney Griner is expected to lead the Sun with 16 points, 6 rebounds and 2 assists, while Paige Bueckers is projected to have 21 points, 4 rebounds and 6 assists for the Wings.
For early game action, the data identifies Brittney Griner 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.
Sun prediction
Our model's projected player stats for the Sun are:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Brittney Griner | 16 | 6 | 2 | 0 | 31 |
| O. Nelson-Ododa | 13 | 6 | 2 | 0 | 28 |
| Leila Lacan | 12 | 2 | 5 | 1 | 28 |
| Diamond Miller | 11 | 3 | 2 | 1 | 21 |
| Kennedy Burke | 8 | 3 | 2 | 1 | 18 |
Wings prediction
Projected points, rebounds, assists and three-pointers made for the Wings:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Paige Bueckers | 21 | 4 | 6 | 1 | 40 |
| A. Ogunbowale | 16 | 3 | 4 | 2 | 30 |
| Jessica Shepard | 15 | 10 | 6 | 0 | 40 |
| Azzi Fudd | 15 | 2 | 3 | 2 | 28 |
| Awak Kuier | 7 | 3 | 1 | 1 | 17 |
Sun vs. Wings game-day updates and essential details
Sunday's matchup between the Wings and Sun at College Park Center is scheduled to commence at 7:00 PM ET.
- Who: Connecticut Sun vs. Dallas Wings
- Date: Sunday, August 2, 2026
- Time: 7:00 PM ET/4:00PM PT
- Venue: College Park Center
Conclusion
We predict the Wings, with an 81.4% win probability, will likely beat the Sun 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.
