Valkyries vs. Wings prediction sees Paige Bueckers projected to score 19 points in Wednesday's WNBA game [9/30/2026]
Dimers' simulation model projects a 65.1% win probability for the Valkyries at College Park Center.

The Dallas Wings and Golden State Valkyries will lock horns in the WNBA Playoffs at College Park Center on Wednesday, starting at 9:00 PM ET.
Dimers' advanced WNBA model projects the Valkyries as the most likely winner in this Valkyries vs. Wings prediction.
The Wings, who have the likes of Paige Bueckers, Arike Ogunbowale and Jessica Shepard, will face off against the Valkyries, featuring Gabby Williams, Janelle Salaun and Veronica Burton.
Bueckers, the Wings' No. 1 pick in the 2025 WNBA draft, is expected to deliver a standout performance with a projected 19 points and 3 threes.

This article offers further insights into Wednesday's matchup, including best bets and player prop picks.
Valkyries vs. Wings prediction and odds
Our famous predictive model currently gives the Valkyries a 65.1% chance of defeating the Wings. According to our model, the Wings (+3.5) have a 54.9% chance of covering the spread, while the 157.5-point over/under has a 64.5% chance of going over.
Latest betting odds
We have sourced the best WNBA odds in America for this game, which are listed here:
- Spread: Valkyries -3.5 (-116) / Wings +3.5 (-103)
- Moneyline: Valkyries -167, Wings +152
- Total: Over/Under 157.5 (+100/-104)
All odds are correct at the time of publication and are subject to change.
Model picks and best bet
After matching our probabilities 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:
- Spread: Wings +3.5 @ 51¢ via Kalshi
- Moneyline: Valkyries @ 63¢ via Novig
- Total: Over 157.5 @ 50¢ via Novig
According to our WNBA best bets, the top play to make on this game is Over 157.5 total points.
These picks are based on our probabilities matched against the implied probabilities from the current available odds.
Top player props
WNBA prop bets are an enjoyable way to wager on the Valkyries vs. Wings game 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.
Gabby Williams is expected to lead the Valkyries with 13 points, 3 rebounds and 2 assists, while Paige Bueckers is projected to have 19 points, 4 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.
Valkyries player props
Our model's projected player stats for the Valkyries are:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Gabby Williams | 13 | 3 | 2 | 2 | 25 |
| Janelle Salaun | 12 | 4 | 1 | 2 | 22 |
| Veronica Burton | 10 | 3 | 5 | 1 | 26 |
| Tiffany Hayes | 9 | 2 | 3 | 1 | 20 |
| C. Zandalasini | 9 | 2 | 2 | 2 | 18 |
Wings player props
Projected points, rebounds, assists and three-pointers made for the Wings:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Paige Bueckers | 19 | 4 | 5 | 3 | 38 |
| A. Ogunbowale | 14 | 3 | 4 | 2 | 28 |
| Jessica Shepard | 13 | 10 | 8 | 0 | 41 |
| Maddy Siegrist | 8 | 4 | 1 | 1 | 17 |
| Awak Kuier | 7 | 5 | 1 | 2 | 23 |
Game info & tip-off details
Wednesday's matchup between the Wings and Valkyries at College Park Center is scheduled to begin at 9:00 PM ET.
- Who: Golden State Valkyries vs. Dallas Wings
- Date: Wednesday, September 30, 2026
- Time: 9:00 PM ET/6:00PM PT
- Venue: College Park Center
Conclusion
We predict the Valkyries, with a 65.1% win probability, will likely beat the Wings in Wednesday'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.



