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Sunday, 07/06/2025 1:00 PM (ET) 
 Gm#RecordOpenLatestML1H
 SEA
 Seattle
61511-7167.5167+18084.5
 NYL
 New York
61612-5-5.5-5.5-220-3

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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
 SEA Seattle83 SEA (+0.5)
 NYL New York86-5-5.5

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 Seattle78 39 31-7043.5%7-2233.9%9-1279.3%40713
 NYL New York86NYL (+2.5)Un (+3.5)43NYL (+1)Un (+2.1)30-6745.6%10-2835.6%15-1883.8%45814

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 561 times, while Seattle covered the spread 439 times.
Edge against the spread=New York.
In 1000 simulated games, 583 games went under the total, while 392 games went over the total.
Edge against the total=Under.
In 1000 simulated games, New York won the game straight up 697 times, while Seattle won 288 times.
No Edge.
In 1000 simulated games, New York covered the first half line 526 times, while Seattle covered the first half line 446 times.
No Edge.
In 1000 simulated games, 590 games went under the first half total, while 410 games went over the first half total.
Edge against the first half total=Under.
In 1000 simulated games, New York covered the 4 point teaser line 670 times, and failed to cover 330 times.
No Edge.
In 1000 simulated games, Seattle covered the 4 point teaser line 544 times, and failed to cover 456 times.
No Edge.
In 1000 simulated games, 483 games went over the 4 point teaser total, while 485 failed to go over.
No Edge.
In 1000 simulated games, 696 games went under the 4 point teaser total, while 279 failed to go under.
No Edge.

Potential Trends Based On Simulator Projection

Trends Favoring Seattle.
Bet against New York when they grab 42 to 46 rebounds in a game.
New York record since the 2024 season: 2-12 (14%) ATS with an average line of -9.3. (-11.2 unit$, ROI=-72.7%).
The average score of these games was Liberty 86.4, Opponents 83.1.
Trends Favoring New York.
Bet on New York on the money line when they allow 76 to 81 points in a game.
New York record since the 2024 season: 11-1 (92%) with an average money line of -528. (+9.9 unit$, ROI=15.6%)
The average score of these games was Liberty 85.4, Opponents 78.4.
Trends Favoring Over.
Bet over the total in Seattle away games when their opponents make 36% to 42% of their 3 pointers in a game.
The Over's record since the 2023 season: 13-1 (93%) with an average over/under of 163.1. (+11.9 unit$, ROI=77.3%)
The average score of these games was Storm 86.9, Opponents 91.7.
Bet over the 1st half total in New York games when they grab 42 to 46 rebounds in a game.
The 1st half Over's record since the 2024 season: 13-1 (93%) with an average 1st half over/under of 83.0. (+11.9 unit$, ROI=77.3%)
The average score of these games was Liberty 46.3, Opponents 42.0.
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: 18-3 (86%) with an average 1st half over/under of 83.0. (+14.7 unit$, ROI=63.6%)
The average score of these games was Liberty 45.9, Opponents 40.6.
Trends Favoring Under.
Bet under the 1st half total in Seattle away games when they commit around the same number of turnovers as opponents.
The 1st half Under's record since the 2024 season: 11-1 (92%) with an average 1st half over/under of 82.5. (+9.9 unit$, ROI=75.0%)
The average score of these games was Storm 34.3, Opponents 38.5.
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.