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| Friday, 08/01/2025 10:00 PM (ET) | ||||||
|---|---|---|---|---|---|---|
| Gm# | Record | Open | Latest | ML | 1H | |
 LAS | 617 | 12-15 | 166 | 169 | +175 | 85.5 |
 SEA | 618 | 16-12 | -5.5 | -5 | -210 | -2.5 |
Matchup Content Menu |
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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 |
| LAS | 80 | LAS (+2) | ||
| SEA | 81 | -3 | -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 | ||
| LAS | 79 | 40 | 29-64 | 44.7% | 8-24 | 34.3% | 14-18 | 74.5% | 42 | 8 | 17 | ||||
| SEA | 86 | SEA (+2) | Un (+3.5) | 43 | SEA (+0.5) | Un (+3) | 33-70 | 47.1% | 8-23 | 34.2% | 12-15 | 78.6% | 40 | 7 | 12 |
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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, Seattle covered the spread 551 times, while Los Angeles covered the spread 424 times. Edge against the spread=Seattle. |
| In 1000 simulated games, 588 games went under the total, while 388 games went over the total. Edge against the total=Under. |
 | In 1000 simulated games, Seattle won the game straight up 667 times, while Los Angeles won 310 times. No Edge. |
 | In 1000 simulated games, Seattle covered the first half line 527 times, while Los Angeles covered the first half line 473 times. No Edge. |
| In 1000 simulated games, 618 games went under the first half total, while 382 games went over the first half total. Edge against the first half total=Under. |
 | In 1000 simulated games, Seattle covered the 4 point teaser line 646 times, and failed to cover 333 times. No Edge. |
| In 1000 simulated games, Los Angeles covered the 4 point teaser line 545 times, and failed to cover 440 times. No Edge. |
| In 1000 simulated games, 498 games went over the 4 point teaser total, while 475 failed to go over. No Edge. |
| In 1000 simulated games, 685 games went under the 4 point teaser total, while 291 failed to go under. No Edge. |
Potential Trends Based On Simulator Projection |
| Trends Favoring Los Angeles. | |
|---|---|
| Bet against Seattle in away games in games where they force 13 to 18 turnovers. Seattle record during the 2025 season: 0-7 (0%) ATS with an average line of -9.3. (-7.7 unit$, ROI=-100.0%). The average score of these games was Storm 78.1, Opponents 79.0. |
| Bet against Seattle in away games on the money line when they make 77% to 82% of their free throws in a game. Seattle record since the 2024 season: 1-5 (17%) with an average money line of -333. (-16.9 unit$, ROI=-84.5%) The average score of these games was Storm 77.9, Opponents 79.4. |
| Trends Favoring Seattle. | |
|---|---|
| Bet against Los Angeles on the money line when they score 76 to 81 points in a game. Los Angeles record since the 2024 season: 1-13 (7%) with an average money line of +247. (-14.7 unit$, ROI=-105.0%) The average score of these games was Sparks 79.4, Opponents 88.5. |
| Bet against Los Angeles on the money line when they attempt 17 to 22 free throws in a game. Los Angeles record since the 2024 season: 5-24 (17%) with an average money line of +202. (-21.3 unit$, ROI=-73.4%) The average score of these games was Sparks 79.3, Opponents 86.5. |
| 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$, ROI=-132.9%) The average score of these games was Sparks 80.8, Opponents 87.2. |
| Bet against Los Angeles on the money line in games where they commit 13 to 18 turnovers. Los Angeles record during the 2025 season: 4-10 (29%) with an average money line of -124. (-15.7 unit$, ROI=-90.5%) The average score of these games was Sparks 84.5, Opponents 87.8. |
| Trends Favoring Over. | |
|---|---|
| Bet over the total in Los Angeles games in games where they force 12 or fewer turnovers. The Over's record during the 2025 season: 12-0 (100%) with an average over/under of 164.7. (+12.0 unit$, ROI=90.9%) The average score of these games was Sparks 83.9, Opponents 92.8. |
| Bet over the 1st half total in Los Angeles games in games where they force 12 or fewer turnovers. The 1st half Over's record during the 2025 season: 11-1 (92%) with an average 1st half over/under of 83.0. (+9.9 unit$, ROI=75.0%) The average score of these games was Sparks 43.2, Opponents 45.8. |
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.