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Saturday, 05/17/2025 10:00 PM (ET) 
 Gm#RecordOpenLatestML1H
 SEA
 Seattle
611162.5162.5+10082
 PHO
 Phoenix
612-1.5-1.5-120-1

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Tip SheetSimulation & Ratings🔒Betting Systems🔒Team Trends🔒Team StatsPlayers Stats & InjuriesSchedule & 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
 SEA Seattle83-6 SEA (+7.5)
 PHO Phoenix75-1.5

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
 SEA Seattle82SEA (+1.5)Ov (+0.2)41SEA (+1) 31-7243.4%6-2226.9%13-1585.7%431010
 PHO Phoenix81 41Un (+0.7)29-6544.9%8-2532.2%14-1880.2%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, Seattle covered the spread 555 times, while Phoenix covered the spread 445 times.
Edge against the spread=Seattle.
In 1000 simulated games, 507 games went under the total, while 493 games went over the total.
No Edge.
In 1000 simulated games, Seattle won the game straight up 495 times, while Phoenix won 480 times.
No Edge.
In 1000 simulated games, Seattle covered the first half line 554 times, while Phoenix covered the first half line 417 times.
Edge against the first half line=Seattle.
In 1000 simulated games, 501 games went under the first half total, while 456 games went over the first half total.
No Edge.
In 1000 simulated games, Phoenix covered the 4 point teaser line 552 times, and failed to cover 448 times.
No Edge.
In 1000 simulated games, Seattle covered the 4 point teaser line 664 times, and failed to cover 336 times.
No Edge.
In 1000 simulated games, 605 games went over the 4 point teaser total, while 395 failed to go over.
No Edge.
In 1000 simulated games, 616 games went under the 4 point teaser total, while 384 failed to go under.
No Edge.

Potential Trends Based On Simulator Projection

Trends Favoring Under.
Bet under the 1st half total in Seattle road games when they grab 8 to 12 offensive rebounds in a game.
The 1st half Under's record since the 2024 season: 9-0 (100%) with an average 1st half over/under of 82.0. (+9.0 unit$, ROI=90.9%)
The average score of these games was Storm 37.1, Opponents 38.3.
Bet under the 1st half total in Seattle road games when they grab 42 to 46 rebounds in a game.
The 1st half Under's record since the 2024 season: 6-0 (100%) with an average 1st half over/under of 82.0. (+6.0 unit$, ROI=90.9%)
The average score of these games was Storm 35.8, Opponents 37.5.
Bet under the 1st half total in Seattle road games when they make 40% to 44% of their shots in a game.
The 1st half Under's record since the 2024 season: 6-0 (100%) with an average 1st half over/under of 82.5. (+6.0 unit$, ROI=90.9%)
The average score of these games was Storm 36.0, Opponents 40.7.
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.