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Sunday, 07/06/2025 7:00 PM (ET) 
 Gm#RecordOpenLatestML1H
 CHI
 Chicago
6195-1115716081
 MIN
 Minnesota
62015-3-14.5-14.5-8.5

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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
 CHI Chicago74 
 MIN Minnesota88-16-14.5MIN (+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
 CHI Chicago72 36CHI (+0.5) 27-6840.1%6-2031.9%11-1476.1%431116
 MIN Minnesota87MIN (+1.5)Un (+0.8)44Un (+1.3)32-6848.0%9-2538.1%13-1680.0%42712

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, Minnesota covered the spread 537 times, while Chicago covered the spread 463 times.
No Edge.
In 1000 simulated games, 514 games went under the total, while 466 games went over the total.
No Edge.
In 1000 simulated games, Minnesota won the game straight up 859 times, while Chicago won 126 times.
No Edge.
In 1000 simulated games, Chicago covered the first half line 527 times, while Minnesota covered the first half line 473 times.
No Edge.
In 1000 simulated games, 518 games went under the first half total, while 444 games went over the first half total.
No Edge.
In 1000 simulated games, Minnesota covered the 4 point teaser line 640 times, and failed to cover 360 times.
No Edge.
In 1000 simulated games, Chicago covered the 4 point teaser line 583 times, and failed to cover 417 times.
No Edge.
In 1000 simulated games, 565 games went over the 4 point teaser total, while 417 failed to go over.
No Edge.
In 1000 simulated games, 612 games went under the 4 point teaser total, while 360 failed to go under.
No Edge.

Potential Trends Based On Simulator Projection

Trends Favoring Chicago.
Bet against Minnesota on the 1st half line when they allow 70 to 75 points in a game.
Minnesota record on the 1st half line during the 2025 season: 0-6 (0%) with an average 1st half line of -6.0. (-6.6 unit$, ROI=-100.0%)
The average 1st half score of these games was Lynx 40.0, Opponents 41.8.
Trends Favoring Minnesota.
Bet against Chicago when their opponents make 45% to 48% of their shots in a game.
Chicago record during the 2025 season: 0-6 (0%) ATS with an average line of +8.5. (-6.6 unit$, ROI=-100.0%).
The average score of these games was Sky 66.0, Opponents 85.8.
Bet against Chicago in home games when they attempt 12 to 16 free throws in a game.
Chicago record since the 2024 season: 0-6 (0%) ATS with an average line of +7.8. (-6.6 unit$, ROI=-100.0%).
The average score of these games was Sky 71.7, Opponents 88.8.
Bet against Chicago when they commit 3 to 6 more turnovers than their opponents.
Chicago record since the 2024 season: 2-13 (13%) ATS with an average line of +5.6. (-12.3 unit$, ROI=-74.5%).
The average score of these games was Sky 71.7, Opponents 85.1.
Bet on Minnesota on the money line when they score 82 to 87 points in a game.
Minnesota record since the 2024 season: 14-3 (82%) with an average money line of -261. (+13.5 unit$, ROI=30.4%)
The average score of these games was Lynx 83.9, Opponents 74.9.
Bet on Minnesota in home games on the money line when they make 45% to 48% of their shots in a game.
Minnesota record since the 2024 season: 10-1 (91%) with an average money line of -420. (+10.1 unit$, ROI=21.8%)
The average score of these games was Lynx 82.7, Opponents 73.6.
Bet on Minnesota on the money line when they make 36% to 42% of their three point attempts in a game.
Minnesota record since the 2023 season: 27-6 (82%) with an average money line of -263. (+22.4 unit$, ROI=25.8%)
The average score of these games was Lynx 86.9, Opponents 80.6.
Bet on Minnesota on the money line when they commit 3 to 6 fewer turnovers than their opponents.
Minnesota record since the 2024 season: 13-1 (93%) with an average money line of -259. (+13.5 unit$, ROI=37.2%)
The average score of these games was Lynx 83.5, Opponents 75.4.
Trends Favoring Over.
Bet over the 1st half total in Minnesota games when they make 45% to 48% of their shots in a game.
The 1st half Over's record since the 2023 season: 26-5 (84%) with an average 1st half over/under of 81.0. (+20.5 unit$, ROI=60.1%)
The average score of these games was Lynx 44.5, Opponents 41.4.
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.