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Wednesday, 07/09/2025 8:00 PM (ET) 
 Gm#RecordOpenLatestML1H
 DAL
 Dallas
6076-14
 CHI
 Chicago
6085-12NLNLNL

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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.

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 Power Rating
TeamsRatingEstimateActualEdge
 DAL Dallas76
 CHI Chicago75-1 

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.

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Average projected scores and game statistics.
 Scores, EdgesShooting   3pt ShootingFree ThrowsRebounding 
TeamsScoreEdgeH1ScoreEdge3FGM-APct.3FGM-APct.FTM-APct.Tot.OFFTO
 DAL Dallas84 43 31-7144.2%7-2034.0%15-1882.1%44913
 CHI Chicago82 41 30-6943.1%7-2036.4%15-2075.8%441014

Simulation Line Covers

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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, Chicago covered the spread 0 times, while Dallas covered the spread 0 times.
No Edge.
In 1000 simulated games, 0 games went over the total, while 0 games went under the total.
No Edge.
In 1000 simulated games, Dallas won the game straight up 553 times, while Chicago won 422 times.
No Edge.
In 1000 simulated games, Chicago covered the first half line 0 times, while Dallas covered the first half line 0 times.
No Edge.
In 1000 simulated games, 0 games went over the first half total, while 0 games went under the first half total.
No Edge.
In 1000 simulated games, Chicago covered the 4 point teaser line 0 times, and failed to cover 0 times.
No Edge.
In 1000 simulated games, Dallas covered the 4 point teaser line 0 times, and failed to cover 0 times.
No Edge.
In 1000 simulated games, 0 games went over the 4 point teaser total, while 0 failed to go over.
No Edge.
In 1000 simulated games, 0 games went under the 4 point teaser total, while 0 failed to go under.
No Edge.

Potential Trends Based On Simulator Projection

Trends Favoring Chicago.
Bet against Dallas in home games on the money line when they grab 8 to 12 offensive rebounds in a game.
Dallas record since the 2024 season: 1-17 (6%) with an average money line of +268. (-17.3 unit$, ROI=-95.8%)
The average score of these games was Wings 82.1, Opponents 91.8.
Bet against Dallas on the money line when they make 40% to 44% of their shots in a game.
Dallas record since the 2024 season: 2-15 (12%) with an average money line of +171. (-17.1 unit$, ROI=-100.6%)
The average score of these games was Wings 80.8, Opponents 90.1.
Bet against Dallas in home games on the money line in up-tempo games where they attempt 69 or more shots.
Dallas record since the 2024 season: 2-16 (11%) with an average money line of +237. (-15.5 unit$, ROI=-86.1%)
The average score of these games was Wings 83.5, Opponents 91.8.
Bet against Dallas in home games on the money line when they attempt 17 to 22 free throws in a game.
Dallas record since the 2024 season: 1-9 (10%) with an average money line of +199. (-9.1 unit$, ROI=-91.0%)
The average score of these games was Wings 83.0, Opponents 92.5.
Bet against Dallas in home games on the money line in games where they force 13 to 18 turnovers.
Dallas record since the 2024 season: 1-12 (8%) with an average money line of +256. (-12.3 unit$, ROI=-94.2%)
The average score of these games was Wings 80.0, Opponents 89.3.
Trends Favoring Over.
Bet over the total in Dallas games when they score 82 to 87 points in a game.
The Over's record since the 2024 season: 14-0 (100%) with an average over/under of 166.6. (+14.0 unit$, ROI=90.9%)
The average score of these games was Wings 84.7, Opponents 91.3.
Bet over the 1st half total in Dallas games when they score 82 to 87 points in a game.
The 1st half Over's record since the 2024 season: 12-1 (92%) with an average 1st half over/under of 84.0. (+10.9 unit$, ROI=70.8%)
The average score of these games was Wings 43.9, Opponents 47.7.
Bet over the 1st half total in Chicago away games when they make 36% to 42% of their three point attempts in a game.
The 1st half Over's record since the 2024 season: 6-0 (100%) with an average 1st half over/under of 83.5. (+6.0 unit$, ROI=90.9%)
The average score of these games was Sky 43.7, Opponents 42.2.
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.