StatSharp Logo

More WNBA Games

Left ArrowBy TimeRight ArrowCurrent GamesLeft ArrowBy Game#Right Arrow

Swipe left to see more →

Sunday, 08/03/2025 1:00 PM (ET) 
 Gm#RecordOpenLatestML1H
 NYL
 New York
62117-10-7-13-1050-7.5
 CON
 Connecticut
6225-21166.5171+65086.5

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
 NYL New York83-7-13
 CON Connecticut74 CON (+6)

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
 NYL New York87 43 30-6546.4%9-2734.6%17-2082.9%43714
 CON Connecticut75CON (+2)Un (+9.1)38CON (+1.5)Un (+5.4)28-6940.4%7-2230.2%13-1780.8%41914

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, Connecticut covered the spread 544 times, while New York covered the spread 435 times.
Edge against the spread=Connecticut.
In 1000 simulated games, 712 games went under the total, while 261 games went over the total.
Edge against the total=Under.
In 1000 simulated games, New York won the game straight up 770 times, while Connecticut won 209 times.
Edge on the money line=Connecticut.
In 1000 simulated games, Connecticut covered the first half line 564 times, while New York covered the first half line 436 times.
Edge against the first half line=Connecticut.
In 1000 simulated games, 707 games went under the first half total, while 293 games went over the first half total.
Edge against the first half total=Under.
In 1000 simulated games, Connecticut covered the 4 point teaser line 647 times, and failed to cover 334 times.
No Edge.
In 1000 simulated games, New York covered the 4 point teaser line 536 times, and failed to cover 435 times.
No Edge.
In 1000 simulated games, 346 games went over the 4 point teaser total, while 624 failed to go over.
No Edge.
In 1000 simulated games, 802 games went under the 4 point teaser total, while 185 failed to go under.
Edge against the 4 point teaser total=Under.

Potential Trends Based On Simulator Projection

Trends Favoring New York.
Bet on New York in away games when they allow 70 to 75 points in a game.
New York record since the 2024 season: 6-0 (100%) ATS with an average line of -7.9. (+6.0 unit$, ROI=90.9%).
The average score of these games was Liberty 89.3, Opponents 73.3.
Trends Favoring Connecticut.
Bet against New York on the 1st half line when they make 29% to 35% of their three point attempts in a game.
New York record on the 1st half line during the 2025 season: 1-8 (11%) with an average 1st half line of -2.5. (-7.8 unit$, ROI=-78.8%)
The average 1st half score of these games was Liberty 40.6, Opponents 47.1.
Trends Favoring Over.
Bet over the total in Connecticut games when they have the around same number of rebounds as their opponents in a game.
The Over's record during the 2025 season: 6-0 (100%) with an average over/under of 159.7. (+6.0 unit$, ROI=90.9%)
The average score of these games was Sun 85.7, Opponents 84.5.
Bet over the 1st half total in New York away games when they grab 42 to 46 rebounds in a game.
The 1st half Over's record since the 2024 season: 6-0 (100%) with an average 1st half over/under of 82.5. (+6.0 unit$, ROI=90.9%)
The average score of these games was Liberty 46.7, Opponents 42.7.
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.