StatSharp Logo

More WNBA Games

 By TimeRight ArrowCurrent Games By Game#Right Arrow

Swipe left to see more →

Thursday, 07/24/2025 7:00 PM (ET) 
 Gm#RecordOpenLatestML1H
 LAS
 Los Angeles
6279-14-5.5-6-250-3
 CON
 Connecticut
6283-19166.5170+20086

Matchup Content Menu

Swipe left to see more →

Tip SheetSimulation & Ratings🔒Betting Systems🔒Team Trends🔒Team StatsSchedule & ResultsHead-to-Head🔒Coaches🔒

WNBA Simulation & Power Ratings

This page features detailed power rating line projections alongside StatSharp's advanced game simulations, each offering precise projected scores and game statistics, estimated fair market lines, positive expected value percentages, and projected hit rates against both the side and total lines. Both sections clearly identify potential betting advantages by highlighting significant value edges when they occur. Use this comprehensive analysis to confidently identify the strongest wagering opportunities available.

Power Rating Projections

Compare team strength with power ratings based on recent results versus expectations. Identify potential advantages where ratings differ from the actual line.

Swipe left to see more →

 Power Rating
TeamsRatingEstimateActualEdge
 LAS Los Angeles78-5-6
 CON Connecticut71 CON (+1)

Game Simulation Results

This table shows projected scores and stats from simulations, including shooting, free throws, and rebounding. Edges highlight potential advantages versus the current line.

Swipe left to see more →

Average projected scores and game statistics.
 Scores, EdgesShooting   3pt ShootingFree ThrowsRebounding 
TeamsScoreEdgeH1ScoreEdge3FGM-APct.3FGM-APct.FTM-APct.Tot.OFFTO
 LAS Los Angeles86LAS (+2) 43 30-6447.4%9-2535.8%16-2275.9%44915
 CON Connecticut78Un (+5.6)40Un (+3.5)29-6742.7%6-2030.5%15-1880.7%38813

Simulation Line Covers

Swipe left to see more →

The number of simulations in which each team covered the current spread, won the game straight up, and number of simulations which went over or under the current total are listed below. Edges are indicated where one side enjoyed a significant advantage against the line or total.
In 1000 simulated games, Los Angeles covered the spread 530 times, while Connecticut covered the spread 448 times.
No Edge.
In 1000 simulated games, 640 games went under the total, while 333 games went over the total.
Edge against the total=Under.
In 1000 simulated games, Los Angeles won the game straight up 686 times, while Connecticut won 295 times.
No Edge.
In 1000 simulated games, Los Angeles covered the first half line 501 times, while Connecticut covered the first half line 468 times.
No Edge.
In 1000 simulated games, 608 games went under the first half total, while 366 games went over the first half total.
Edge against the first half total=Under.
In 1000 simulated games, Connecticut covered the 4 point teaser line 541 times, and failed to cover 427 times.
No Edge.
In 1000 simulated games, Los Angeles covered the 4 point teaser line 632 times, and failed to cover 342 times.
No Edge.
In 1000 simulated games, 431 games went over the 4 point teaser total, while 538 failed to go over.
No Edge.
In 1000 simulated games, 725 games went under the 4 point teaser total, while 252 failed to go under.
No Edge.

Potential Trends Based On Simulator Projection

Trends Favoring Los Angeles.
Bet on Los Angeles in away games when they grab 4 to 9 more rebounds than their opponents in a game.
Los Angeles record since the 2024 season: 7-0 (100%) ATS with an average line of +9.8. (+7.0 unit$, ROI=79.5%).
The average score of these games was Sparks 82.0, Opponents 86.4.
Bet on Los Angeles in away games when they make 36% to 42% of their three point attempts in a game.
Los Angeles record since the 2024 season: 6-0 (100%) ATS with an average line of +6.5. (+6.0 unit$, ROI=90.9%).
The average score of these games was Sparks 86.3, Opponents 84.5.
Bet on Los Angeles in away games on the 1st half line when their opponents make 29% to 35% of their 3 pointers in a game.
Los Angeles record on the 1st half line since the 2024 season: 9-1 (90%) with an average 1st half line of +3.0. (+7.9 unit$, ROI=71.8%)
The average 1st half score of these games was Sparks 42.9, Opponents 40.7.
Trends Favoring Connecticut.
Bet against Los Angeles on the money line when they attempt 17 to 22 free throws in a game.
Los Angeles record since the 2024 season: 4-23 (15%) with an average money line of +199. (-24.0 unit$, ROI=-88.9%)
The average score of these games was Sparks 78.8, Opponents 86.0.
Bet against Los Angeles on the money line in games where they commit 13 to 18 turnovers.
Los Angeles record during the 2025 season: 3-10 (23%) with an average money line of -114. (-16.7 unit$, ROI=-112.5%)
The average score of these games was Sparks 83.2, Opponents 87.9.
Glossary of Terms

Teams: The names and logos of the basketball teams being compared in the simulation.

Rating: The power rating assigned to the team, indicating its overall strength based on various factors like performance, statistics, and other metrics.

Score: The average projected final score for each team based on the simulation.

Estimate: The estimated point spread or line based on the power rating comparison between the two teams.

Edge: Indicates a potential betting advantage if the estimated score or line differs significantly from the actual betting line.

H1Score: The average projected score for each team at the end of the first half.

3FGM-A: The average number of three-point field goals made and attempted by the team.

Pct. (3pt Shooting): The average shooting percentage for three-point field goals.

FTM-A: The average number of free throws made and attempted by the team.

Pct. (Free Throws): The average free throw shooting percentage.

Tot. (Rebounding): The average total number of rebounds (both offensive and defensive) secured by the team.

OFF (Rebounding): The average number of offensive rebounds secured by the team.

TO: The average number of turnovers committed by the team.