StatSharp Logo

More WNBA Games

Left ArrowBy Time Current GamesLeft ArrowBy Game# 

Swipe left to see more →

Tuesday, 08/05/2025 10:00 PM (ET) 
 Gm#RecordOpenLatestML1H
 MIN
 Minnesota
60924-6157155.5+10079
 SEA
 Seattle
61016-13-2.5-1.5-120-1

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
 MIN Minnesota92-9 MIN (+10.5)
 SEA Seattle81-1.5

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.

Swipe left to see more →

Average projected scores and game statistics.
 Scores, EdgesShooting   3pt ShootingFree ThrowsRebounding 
TeamsScoreEdgeH1ScoreEdge3FGM-APct.3FGM-APct.FTM-APct.Tot.OFFTO
 MIN Minnesota82MIN (+5.5)Ov (+4.9)41MIN (+3)Ov (+1.8)31-6945.4%9-2735.3%11-1379.0%44814
 SEA Seattle78 39 30-7043.2%7-2331.9%11-1379.7%42813

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, Minnesota covered the spread 641 times, while Seattle covered the spread 359 times.
Edge against the spread=Minnesota.
In 1000 simulated games, 634 games went over the total, while 366 games went under the total.
Edge against the total=Over.
In 1000 simulated games, Minnesota won the game straight up 592 times, while Seattle won 388 times.
Edge on the money line=Minnesota.
In 1000 simulated games, Minnesota covered the first half line 602 times, while Seattle covered the first half line 371 times.
Edge against the first half line=Minnesota.
In 1000 simulated games, 531 games went over the first half total, while 435 games went under the first half total.
No Edge.
In 1000 simulated games, Seattle covered the 4 point teaser line 469 times, and failed to cover 531 times.
No Edge.
In 1000 simulated games, Minnesota covered the 4 point teaser line 742 times, and failed to cover 258 times.
No Edge.
In 1000 simulated games, 726 games went over the 4 point teaser total, while 274 failed to go over.
No Edge.
In 1000 simulated games, 484 games went under the 4 point teaser total, while 516 failed to go under.
No Edge.

Potential Trends Based On Simulator Projection

Trends Favoring Minnesota.
Bet against Seattle in away games in games where they force 13 to 18 turnovers.
Seattle record during the 2025 season: 0-9 (0%) ATS with an average line of -8.1. (-9.9 unit$, ROI=-100.0%).
The average score of these games was Storm 80.8, Opponents 82.1.
Bet on Minnesota in away games on the money line when their opponents make 29% to 35% of their 3 pointers in a game.
Minnesota record since the 2023 season: 14-2 (88%) with an average money line of -143. (+19.0 unit$, ROI=82.8%)
The average score of these games was Lynx 82.4, Opponents 76.8.
Bet on Minnesota on the money line when they make 45% to 48% of their shots in a game.
Minnesota record since the 2024 season: 21-4 (84%) with an average money line of -331. (+15.8 unit$, ROI=19.1%)
The average score of these games was Lynx 85.0, Opponents 77.9.
Bet against Seattle on the money line when their opponents make 45% to 48% of their shots in a game.
Seattle record during the 2025 season: 1-6 (14%) with an average money line of -243. (-15.7 unit$, ROI=-92.1%)
The average score of these games was Storm 83.0, Opponents 86.1.
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: 1-7 (13%) with an average money line of -295. (-20.5 unit$, ROI=-86.9%)
The average score of these games was Storm 80.6, Opponents 82.4.
Bet against Seattle in away games on the money line in games where they force 13 to 18 turnovers.
Seattle record during the 2025 season: 1-6 (14%) with an average money line of -288. (-13.5 unit$, ROI=-67.0%)
The average score of these games was Storm 80.8, Opponents 82.1.
Trends Favoring Seattle.
Bet against Minnesota on the 1st half line when they have the around same number of rebounds as their opponents in a game.
Minnesota record on the 1st half line during the 2025 season: 1-8 (11%) with an average 1st half line of -4.0. (-7.8 unit$, ROI=-78.8%)
The average 1st half score of these games was Lynx 43.3, Opponents 42.6.
Trends Favoring Over.
Bet over the total in Minnesota away games in games attempting around the same number of free throws as opponents.
The Over's record since the 2024 season: 10-1 (91%) with an average over/under of 160.8. (+8.9 unit$, ROI=73.6%)
The average score of these games was Lynx 87.3, Opponents 82.9.
Bet over the 1st half total in Minnesota away games when they make 45% to 48% of their shots in a game.
The 1st half Over's record since the 2024 season: 13-0 (100%) with an average 1st half over/under of 81.5. (+13.0 unit$, ROI=90.9%)
The average score of these games was Lynx 46.3, Opponents 44.8.
Trends Favoring Under.
Bet under the 1st half total in Seattle away games when they make 77% to 82% of their free throws in a game.
The 1st half Under's record during the 2025 season: 6-0 (100%) with an average 1st half over/under of 81.5. (+6.0 unit$, ROI=90.9%)
The average score of these games was Storm 36.5, Opponents 36.8.
Bet under the 1st half total in Seattle away games in games where they force 13 to 18 turnovers.
The 1st half Under's record during the 2025 season: 8-1 (89%) with an average 1st half over/under of 82.0. (+6.9 unit$, ROI=69.7%)
The average score of these games was Storm 35.7, Opponents 37.9.
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.