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| Sunday, 07/13/2025 6:00 PM (ET) | ||||||
|---|---|---|---|---|---|---|
| Gm# | Record | Open | Latest | ML | 1H | |
 CON | 625 | 3-17 | 161 | 162.5 | +600 | 82 |
 LAS | 626 | 6-14 | -11.5 | -12.5 | -950 | -7.5 |
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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 | ||||
|---|---|---|---|---|
| Teams | Rating | Estimate | Actual | Edge |
| CON | 71 | CON (+6.5) | ||
| LAS | 75 | -6 | -12.5 | |
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, Edges | Shooting | 3pt Shooting | Free Throws | Rebounding | |||||||||||
| Teams | Score | Edge | H1Score | Edge | 3FGM-A | Pct. | 3FGM-A | Pct. | FTM-A | Pct. | Tot. | OFF | TO | ||
| CON | 75 | CON (+2.5) | 38 | CON (+2.5) | 28-67 | 42.0% | 6-20 | 30.6% | 13-16 | 80.2% | 38 | 8 | 14 | ||
| LAS | 85 | Un (+1.7) | 43 | Un (+0.9) | 30-64 | 46.5% | 8-24 | 34.6% | 18-23 | 76.6% | 45 | 9 | 15 | ||
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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, Connecticut covered the spread 572 times, while Los Angeles covered the spread 428 times. Edge against the spread=Connecticut. |
| In 1000 simulated games, 551 games went under the total, while 449 games went over the total. No Edge. |
 | In 1000 simulated games, Los Angeles won the game straight up 738 times, while Connecticut won 234 times. Edge on the money line=Connecticut. |
 | In 1000 simulated games, Connecticut covered the first half line 596 times, while Los Angeles covered the first half line 404 times. Edge against the first half line=Connecticut. |
| In 1000 simulated games, 530 games went under the first half total, while 436 games went over the first half total. No Edge. |
 | In 1000 simulated games, Los Angeles covered the 4 point teaser line 541 times, and failed to cover 459 times. No Edge. |
| In 1000 simulated games, Connecticut covered the 4 point teaser line 675 times, and failed to cover 325 times. No Edge. |
| In 1000 simulated games, 578 games went over the 4 point teaser total, while 422 failed to go over. No Edge. |
| In 1000 simulated games, 648 games went under the 4 point teaser total, while 352 failed to go under. No Edge. |
Potential Trends Based On Simulator Projection |
| Trends Favoring Connecticut. | |
|---|---|
| Bet against Los Angeles in away games when they attempt 4 to 9 more free throws than opponents in a game. Los Angeles record since the 2024 season: 0-9 (0%) ATS with an average line of +2.9. (-9.9 unit$, ROI=-100.0%). The average score of these games was Sparks 72.7, Opponents 83.9. |
| Bet against Los Angeles in away games when they make 29% to 35% of their three point attempts in a game. Los Angeles record since the 2024 season: 0-7 (0%) ATS with an average line of +1.4. (-7.7 unit$, ROI=-100.0%). The average score of these games was Sparks 76.6, Opponents 89.4. |
| Bet against Los Angeles on the money line when they grab 8 to 12 offensive rebounds in a game. Los Angeles record during the 2025 season: 2-8 (20%) with an average money line of +133. (-10.8 unit$, ROI=-108.0%) The average score of these games was Sparks 80.9, Opponents 88.3. |
| Bet against Los Angeles on the money line when their opponents make 40% to 44% of their shots in a game. Los Angeles record during the 2025 season: 1-5 (17%) with an average money line of -170. (-11.5 unit$, ROI=-112.7%) The average score of these games was Sparks 82.0, Opponents 85.5. |
| Bet against Los Angeles in away games on the money line when they attempt 4 to 9 more free throws than opponents in a game. Los Angeles record since the 2024 season: 1-8 (11%) with an average money line of +164. (-10.3 unit$, ROI=-113.9%) The average score of these games was Sparks 72.7, Opponents 83.9. |
| Bet against Los Angeles on the money line when they make 29% to 35% of their three point attempts in a game. Los Angeles record during the 2025 season: 1-5 (17%) with an average money line of -134. (-10.7 unit$, ROI=-132.9%) The average score of these games was Sparks 80.8, Opponents 87.2. |
| Bet against Los Angeles on the money line in games where they commit 13 to 18 turnovers. Los Angeles record during the 2025 season: 2-10 (17%) with an average money line of -117. (-17.9 unit$, ROI=-127.5%) The average score of these games was Sparks 82.4, Opponents 88.1. |
| Bet against Los Angeles on the money line when they commit around the same number of turnovers as opponents. Los Angeles record since the 2024 season: 4-16 (20%) with an average money line of +146. (-21.6 unit$, ROI=-107.8%) The average score of these games was Sparks 78.2, Opponents 84.6. |
| Trends Favoring Los Angeles. | |
|---|---|
| Bet against Connecticut in home games on the 1st half line when they allow 82 to 87 points in a game. Connecticut record on the 1st half line since the 2024 season: 1-10 (9%) with an average 1st half line of +1.5. (-10.0 unit$, ROI=-82.6%) The average 1st half score of these games was Sun 38.0, Opponents 45.5. |
| Trends Favoring Over. | |
|---|---|
| Bet over the total in Los Angeles away games when they score 82 to 87 points in a game. The Over's record since the 2024 season: 7-0 (100%) with an average over/under of 162.8. (+7.0 unit$, ROI=90.9%) The average score of these games was Sparks 83.3, Opponents 89.1. |
| Bet over the total in Los Angeles games when they attempt 23 to 27 free throws in a game. The Over's record during the 2025 season: 8-1 (89%) with an average over/under of 163.6. (+6.9 unit$, ROI=69.7%) The average score of these games was Sparks 82.8, Opponents 88.1. |
| Bet over the 1st half total in Connecticut away games when they make 29% to 35% of their three point attempts in a game. The 1st half Over's record since the 2024 season: 10-1 (91%) with an average 1st half over/under of 79.5. (+8.9 unit$, ROI=73.6%) The average score of these games was Sun 40.5, Opponents 46.5. |
| Bet over the 1st half total in Los Angeles games when they attempt 23 to 27 free throws in a game. The 1st half Over's record since the 2024 season: 12-2 (86%) with an average 1st half over/under of 82.5. (+9.8 unit$, ROI=63.6%) The average score of these games was Sparks 44.9, Opponents 43.4. |
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.