Sparks vs. Wings prediction sees Paige Bueckers projected to score 19 points in Thursday's WNBA game [9/17/2026]
Dimers' simulation model projects a 73.4% win probability for the Wings at College Park Center.

The Dallas Wings will face the Los Angeles Sparks in WNBA action at College Park Center on Thursday, commencing at 8:00 PM ET.
Dimers' advanced WNBA model projects the Wings as the most likely winner in this Sparks vs. Wings prediction.
The Wings, powered by Paige Bueckers, Arike Ogunbowale and Jessica Shepard, are set to take on the Sparks, whose lineup includes Nneka Ogwumike, Rae Burrell and Dearica Hamby.
Bueckers, the young phenom making headlines with the Wings, is expected to deliver a standout performance with a projected 19 points and 2 threes.

This article offers further insights into Thursday's matchup, including best bets and player prop picks.
Sparks vs. Wings prediction and odds
Our leading predictive model currently gives the Wings a 73.4% chance of beating the Sparks. According to our model, the Sparks (+8.5) have a 57.0% chance of covering the spread, while the over/under total of 177.5 points has a 50.9% chance of going over.
Latest betting odds
We have researched the best WNBA odds in America for this game, which are listed here:
- Spread: Sparks +8.5 (+117) / Wings -8.5 (-105)
- Moneyline: Sparks +400, Wings -335
- Total: Over/Under 177.5 (-110/+117)
All odds are correct at the time of publication and are subject to change.
Model picks and best bet
After matching our predictions against the best available odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:
- Spread: Sparks +8.5 @ 46¢ via Polymarket
- Moneyline: Sparks @ 20¢ via Polymarket
- Total: Under 177.5 @ 46¢ via Polymarket
According to our WNBA best bets, the top play to make on this game is Sparks +8.5 at the spread.
These picks are based on our probabilities matched against the implied probabilities from the current available odds.
Top player props
WNBA player props are a popular way to wager on Thursday's Los Angeles vs. Dallas matchup without necessarily betting on the outcome. 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 16 points, 8 rebounds and 3 assists, while Paige Bueckers is projected to have 19 points, 4 rebounds and 6 assists for the Wings.
Shifting focus to the first basket market, our projections highlight Paige Bueckers as the most likely player to open the scoring.
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 player props
Our model's projected player stats for the Sparks are:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Nneka Ogwumike | 16 | 8 | 3 | 1 | 35 |
| Rae Burrell | 14 | 3 | 3 | 2 | 26 |
| Dearica Hamby | 13 | 7 | 2 | 0 | 29 |
| Ariel Atkins | 9 | 3 | 3 | 1 | 24 |
| Erica Wheeler | 9 | 2 | 4 | 2 | 23 |
Wings player props
Projected points, rebounds, assists and three-pointers made for the Wings:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Paige Bueckers | 19 | 4 | 6 | 2 | 38 |
| A. Ogunbowale | 16 | 3 | 3 | 2 | 29 |
| Jessica Shepard | 13 | 10 | 4 | 0 | 34 |
| Aziaha James | 9 | 4 | 2 | 1 | 20 |
| Odyssey Sims | 9 | 2 | 2 | 1 | 18 |
Game info & tip-off details
Thursday's action between the Wings and Sparks at College Park Center is scheduled to begin at 8:00 PM ET.
- Who: Los Angeles Sparks vs. Dallas Wings
- Date: Thursday, September 17, 2026
- Time: 8:00 PM ET/5:00PM PT
- Venue: College Park Center
Conclusion
We predict the Wings, with a 73.4% win probability, will likely beat the Sparks in Thursday's WNBA matchup.
Additional tools and information for betting safely can be found in our Responsible Gambling hub.
This article's predictions and probabilities are generated by Dimers' proprietary WNBA prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.



