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Tuesday, 07/22/2025 10:00 PM (ET) 
 Gm#RecordOpenLatestML1H
 DAL
 Dallas
6216-17165.5165.5+32583.5
 SEA
 Seattle
62214-9-9-9-450-5

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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 Dallas74 
 SEA Seattle82-10-9SEA (+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 Dallas78 39 29-7041.4%7-2032.2%13-1780.7%451015
 SEA Seattle87Un (+1.2)44Un (+0.6)32-6946.0%8-2237.0%15-1978.0%42711

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, Dallas covered the spread 489 times, while Seattle covered the spread 487 times.
No Edge.
In 1000 simulated games, 557 games went under the total, while 443 games went over the total.
Edge against the total=Under.
In 1000 simulated games, Seattle won the game straight up 731 times, while Dallas won 242 times.
No Edge.
In 1000 simulated games, Seattle covered the first half line 492 times, while Dallas covered the first half line 476 times.
No Edge.
In 1000 simulated games, 536 games went under the first half total, while 464 games went over the first half total.
No Edge.
In 1000 simulated games, Seattle covered the 4 point teaser line 602 times, and failed to cover 365 times.
No Edge.
In 1000 simulated games, Dallas covered the 4 point teaser line 610 times, and failed to cover 363 times.
No Edge.
In 1000 simulated games, 572 games went over the 4 point teaser total, while 428 failed to go over.
No Edge.
In 1000 simulated games, 650 games went under the 4 point teaser total, while 350 failed to go under.
No Edge.

Potential Trends Based On Simulator Projection

Trends Favoring Dallas.
Bet against Seattle in away games in games where they force 13 to 18 turnovers.
Seattle record during the 2025 season: 0-6 (0%) ATS with an average line of -9.3. (-6.6 unit$, ROI=-100.0%).
The average score of these games was Storm 80.7, Opponents 77.7.
Bet against Seattle in away games on the money line when they make 77% to 82% of their free throws in a game.
Seattle record since the 2024 season: 1-5 (17%) with an average money line of -333. (-16.9 unit$, ROI=-84.5%)
The average score of these games was Storm 77.9, Opponents 79.4.
Trends Favoring Seattle.
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: 1-19 (5%) with an average money line of +264. (-19.3 unit$, ROI=-96.5%)
The average score of these games was Wings 81.9, Opponents 92.0.
Bet against Dallas on the money line when they make 40% to 44% of their shots in a game.
Dallas record since the 2024 season: 2-16 (11%) with an average money line of +173. (-18.1 unit$, ROI=-100.6%)
The average score of these games was Wings 81.1, Opponents 90.1.
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$, ROI=-96.2%)
The average score of these games was Wings 80.5, Opponents 90.3.
Bet against Dallas in home games on the money line in up-tempo games where they attempt 69 or more shots.
Dallas record since the 2024 season: 2-18 (10%) with an average money line of +236. (-17.6 unit$, ROI=-87.7%)
The average score of these games was Wings 83.1, Opponents 92.1.
Bet against Dallas in home games on the money line in games where they commit 13 to 18 turnovers.
Dallas record since the 2024 season: 2-22 (8%) with an average money line of +244. (-22.0 unit$, ROI=-91.5%)
The average score of these games was Wings 82.1, Opponents 92.4.
Bet against Dallas in home games on the money line in games where they force 12 or fewer turnovers.
Dallas record since the 2024 season: 2-13 (13%) with an average money line of +221. (-12.2 unit$, ROI=-81.3%)
The average score of these games was Wings 82.7, Opponents 93.3.
Bet against Dallas on the 1st half line when they make 40% to 44% of their shots in a game.
Dallas record on the 1st half line during the 2025 season: 0-6 (0%) with an average 1st half line of +1.5. (-6.6 unit$, ROI=-85.7%)
The average 1st half score of these games was Wings 40.7, Opponents 46.1.
Trends Favoring Over.
Bet over the 1st half total in Dallas games in games where they commit 13 to 18 turnovers.
The 1st half Over's record since the 2024 season: 29-9 (76%) with an average 1st half over/under of 85.0. (+19.1 unit$, ROI=44.5%)
The average score of these games was Wings 42.6, Opponents 45.7.
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.