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Tuesday, 08/05/2025 7:00 PM (ET) 
 Gm#RecordOpenLatestML1H
 DAL
 Dallas
6018-21173.5173+37587.5
 NYL
 New York
60218-10-9.5-10-550-6

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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 Dallas77 DAL (+2)
 NYL New York83-8-10

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 Dallas80 41DAL (+1) 30-7241.8%7-2131.5%13-1681.1%451114
 NYL New York90Un (+2.4)46Un (+0.8)31-6746.2%10-2836.7%19-2284.1%42713

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, New York covered the spread 493 times, while Dallas covered the spread 483 times.
No Edge.
In 1000 simulated games, 557 games went under the total, while 405 games went over the total.
Edge against the total=Under.
In 1000 simulated games, New York won the game straight up 723 times, while Dallas won 246 times.
Edge on the money line=Dallas.
In 1000 simulated games, Dallas covered the first half line 535 times, while New York covered the first half line 430 times.
No Edge.
In 1000 simulated games, 554 games went under the first half total, while 446 games went over the first half total.
No Edge.
In 1000 simulated games, New York covered the 4 point teaser line 589 times, and failed to cover 389 times.
No Edge.
In 1000 simulated games, Dallas covered the 4 point teaser line 586 times, and failed to cover 385 times.
No Edge.
In 1000 simulated games, 536 games went over the 4 point teaser total, while 436 failed to go over.
No Edge.
In 1000 simulated games, 680 games went under the 4 point teaser total, while 297 failed to go under.
No Edge.

Potential Trends Based On Simulator Projection

Trends Favoring Dallas.
Bet against New York in away games on the 1st half line in games where they force 13 to 18 turnovers.
New York record on the 1st half line during the 2025 season: 0-6 (0%) with an average 1st half line of -5.0. (-6.6 unit$, ROI=-100.0%)
The average 1st half score of these games was Liberty 38.2, Opponents 41.5.
Trends Favoring New York.
Bet against Dallas when they allow 88 or more points in a game.
Dallas record since the 2024 season: 10-31 (24%) ATS with an average line of +5.0. (-24.1 unit$, ROI=-53.4%).
The average score of these games was Wings 86.1, Opponents 96.4.
Bet against Dallas in home games on the money line when they allow 88 or more points in a game.
Dallas record since the 2024 season: 1-17 (6%) with an average money line of +228. (-17.6 unit$, ROI=-97.8%)
The average score of these games was Wings 83.8, Opponents 96.9.
Bet against Dallas on the money line when they make 40% to 44% of their shots in a game.
Dallas record since the 2024 season: 2-18 (10%) with an average money line of +172. (-20.1 unit$, ROI=-100.5%)
The average score of these games was Wings 80.7, Opponents 89.8.
Bet against Dallas in home games on the money line when their opponents make 45% to 48% of their shots in a game.
Dallas record since the 2024 season: 1-12 (8%) with an average money line of +258. (-12.5 unit$, ROI=-96.2%)
The average score of these games was Wings 80.5, Opponents 90.3.
Bet against Dallas in home games on the money line when they attempt 4 to 9 less free throws than opponents in a game.
Dallas record since the 2024 season: 1-10 (9%) with an average money line of +195. (-10.5 unit$, ROI=-95.5%)
The average score of these games was Wings 84.8, Opponents 95.3.
Trends Favoring Over.
Bet over the total in Dallas games when they allow 88 or more points in a game.
The Over's record during the 2025 season: 13-2 (87%) with an average over/under of 168.4. (+10.8 unit$, ROI=65.5%)
The average score of these games was Wings 83.9, Opponents 94.3.
Bet over the total in Dallas games when they allow 88 to 92 points in a game.
The Over's record since the 2024 season: 12-2 (86%) with an average over/under of 168.4. (+9.8 unit$, ROI=63.6%)
The average score of these games was Wings 87.3, Opponents 90.0.
Bet over the total in New York games when they score 88 or more points in a game.
The Over's record since the 2023 season: 47-12 (80%) with an average over/under of 165.2. (+33.8 unit$, ROI=50.4%)
The average score of these games was Liberty 94.7, Opponents 82.3.
Bet over the 1st half total in New York games when they score 88 or more points in a game.
The 1st half Over's record since the 2023 season: 46-12 (79%) with an average 1st half over/under of 83.5. (+32.8 unit$, ROI=48.9%)
The average score of these games was Liberty 49.7, Opponents 42.1.
Bet over the 1st half total in New York games when they attempt 4 to 9 more free throws than opponents in a game.
The 1st half Over's record since the 2024 season: 20-3 (87%) with an average 1st half over/under of 83.0. (+16.7 unit$, ROI=66.0%)
The average score of these games was Liberty 45.7, Opponents 41.0.
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.