Sparks vs. Wings prediction: Paige Bueckers projected to score 23 points in Sunday's WNBA game [7/19/2026]
Get Los Angeles Sparks vs Dallas Wings predictions for WNBA Sunday.
The Dallas Wings will square off with the Los Angeles Sparks in WNBA action at College Park Center on Sunday, beginning at 1:00 PM ET.
Based on the latest simulation results, Dimers' advanced WNBA model projects the Wings as the most likely winner of the Sparks vs. Wings game.
The Wings, with the likes of Paige Bueckers, Azzi Fudd and Jessica Shepard, will face off against the Sparks, who feature Nneka Ogwumike, Dearica Hamby and Rae Burrell.
Bueckers, the star point guard for the Wings, is expected to shine with a projected 23 points and 2 threes.
This article offers a closer look at Sunday's matchup, including best bets and player prop picks.
Sparks vs. Wings prediction: Who will win and cover?
Our independent predictive model gives the Wings an 81.4% chance of defeating the Sparks.
According to our model, the Wings (-8.5) have a 51.7% chance of covering the spread, while the over/under total of 182.5 points has a 64.5% chance of staying under,.
Sparks vs. Wings odds
We have sourced the best WNBA odds in America for this game, which are listed here:
| Bet Type | Sparks | Wings |
|---|---|---|
| Spread | +8.5 (+102) | -8.5 (-125) |
| Moneyline | +355 | -388 |
| Total | o182.5 (-108) | u182.5 (-102) |
All odds are correct at the time of publication and are subject to change.
Sparks 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 | Sparks +8.5 | +102 |
| Moneyline | Wings | -388 |
| Total | Under 182.5 | -102 |
According to our WNBA best bets, the top play to make on this game is Under 182.5 total points.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Sparks vs. Wings player props
Betting on Sparks vs. Wings WNBA prop bets? We use the best information available to project how each team's leading players will perform at College Park Center.
Nneka Ogwumike is expected to lead the Sparks with 18 points, 7 rebounds and 3 assists, while Paige Bueckers is projected to have 23 points, 4 rebounds and 7 assists for the Wings.
Looking at the opening tip, the numbers point to Paige Bueckers striking first with a 14.5% probability.
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.
Sparks prediction
Our model's projected player stats for the Sparks are:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Nneka Ogwumike | 18 | 7 | 3 | 2 | 36 |
| Dearica Hamby | 18 | 8 | 3 | 0 | 37 |
| Rae Burrell | 13 | 3 | 2 | 1 | 23 |
| Ariel Atkins | 12 | 3 | 4 | 1 | 27 |
| Erica Wheeler | 10 | 2 | 5 | 2 | 24 |
Wings prediction
Projected points, rebounds, assists and three-pointers made for the Wings:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Paige Bueckers | 23 | 4 | 7 | 2 | 43 |
| Azzi Fudd | 17 | 2 | 3 | 3 | 31 |
| Jessica Shepard | 16 | 12 | 6 | 0 | 42 |
| A. Ogunbowale | 15 | 2 | 4 | 2 | 28 |
| Awak Kuier | 6 | 4 | 1 | 1 | 18 |
Sparks vs. Wings game-day updates and essential details
Sunday's action between the Wings and Sparks at College Park Center is scheduled to begin at 1:00 PM ET.
- Who: Los Angeles Sparks vs. Dallas Wings
- Date: Sunday, July 19, 2026
- Time: 1:00 PM ET/10:00AM PT
- Venue: College Park Center
Conclusion
We predict the Wings, with an 81.4% win probability, will likely beat the Sparks 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.
