Fever vs. Aces prediction: Caitlin Clark projected to score 19 points in Sunday's WNBA game [7/12/2026]
Get Indiana Fever vs Las Vegas Aces predictions for WNBA Sunday.
The Las Vegas Aces and Indiana Fever will meet in the WNBA at Michelob ULTRA Arena on Sunday, with tipoff at 9:00 PM ET.
Based on updated simulations, Dimers' advanced WNBA model predicts the Aces as the most likely winner of the Fever vs. Aces game.
The Aces, led by A'ja Wilson, Jackie Young and Chelsea Gray, are set to take on the Fever, featuring Kelsey Mitchell, Caitlin Clark and Aliyah Boston.
Clark, the hoops superstar making headlines with the Fever, is expected to deliver a standout performance with a projected 19 points and 2 threes.
This article offers an expanded analysis of Sunday's matchup, including best bets and player prop picks.
Fever vs. Aces prediction: Who will win and cover?
Our leading predictive model currently gives the Aces a 70.3% chance of beating the Fever.
According to our model, the Aces (-4.5) have a 53.3% chance of covering the spread, while the 181.5-point over/under has a 67.8% chance of staying under,.
Fever vs. Aces odds
We have researched the best WNBA odds in America for this game, which are listed here:
| Bet Type | Fever | Aces |
|---|---|---|
| Spread | +4.5 (-110) | -4.5 (-105) |
| Moneyline | +158 | -184 |
| Total | o181.5 (-110) | u181.5 (-105) |
All odds are correct at the time of publication and are subject to change.
Fever vs. Aces picks and best bet
After matching our predictions against the best available 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 | Aces -4.5 | hard_rock-105 |
| Moneyline | Aces | -184 |
| Total | Under 181.5 | -105 |
According to our best WNBA bets, the top play to make on this game is Under 181.5 total points.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Fever vs. Aces player props
WNBA player props are a common way to wager on Sunday's Fever vs. Aces game without necessarily betting on the outcome. We use the best information available to project how each team's leading players will perform at Michelob ULTRA Arena.
Kelsey Mitchell is expected to lead the Fever with 21 points, 1 rebounds and 3 assists, while A'ja Wilson is projected to have 26 points, 9 rebounds and 3 assists for the Aces.
For early game action, the data identifies A'ja Wilson 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.
Fever prediction
Our model's projected player stats for the Fever are:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| Kelsey Mitchell | 21 | 1 | 3 | 3 | 32 |
| Caitlin Clark | 19 | 4 | 7 | 2 | 41 |
| Aliyah Boston | 16 | 9 | 4 | 1 | 39 |
| S. Cunningham | 7 | 3 | 1 | 1 | 15 |
| M. Billings | 7 | 5 | 1 | 0 | 17 |
Aces prediction
Projected points, rebounds, assists and three-pointers made for the Aces:
| Player | PTS | REB | AST | 3PM | DFS |
|---|---|---|---|---|---|
| A'ja Wilson | 26 | 9 | 3 | 1 | 52 |
| Jackie Young | 18 | 4 | 6 | 2 | 37 |
| Chelsea Gray | 11 | 3 | 6 | 1 | 31 |
| NaLyssa Smith | 10 | 5 | 1 | 0 | 20 |
| Jewell Loyd | 10 | 2 | 1 | 2 | 19 |
Fever vs. Aces game-day updates and essential details
Sunday's action between the Aces and Fever at Michelob ULTRA Arena is scheduled to start at 9:00 PM ET.
- Who: Indiana Fever vs. Las Vegas Aces
- Date: Sunday, July 12, 2026
- Time: 9:00 PM ET/6:00PM PT
- Venue: Michelob ULTRA Arena
Conclusion
We predict the Aces, with a 70.3% win probability, will likely beat the Fever 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.
