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| Wednesday, 07/16/2025 3:00 PM (ET) | ||||||
|---|---|---|---|---|---|---|
| Gm# | Record | Open | Latest | ML | 1H | |
 GS | 609 | 10-11 | 158.5 | 158.5 | +180 | 80.5 |
 SEA | 610 | 13-9 | -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 | ||||
|---|---|---|---|---|
| Teams | Rating | Estimate | Actual | Edge |
| GS | 85 | -2 | GS (+7.5) | |
| SEA | 81 | -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, Edges | Shooting | 3pt Shooting | Free Throws | Rebounding | |||||||||||
| Teams | Score | Edge | H1Score | Edge | 3FGM-A | Pct. | 3FGM-A | Pct. | FTM-A | Pct. | Tot. | OFF | TO | ||
| GS | 76 | GS (+1.5) | 38 | GS (+1) | 27-67 | 40.1% | 9-30 | 30.7% | 13-17 | 79.4% | 46 | 9 | 16 | ||
| SEA | 80 | Un (+2.1) | 40 | Un (+1.8) | 30-69 | 43.1% | 8-22 | 34.3% | 13-16 | 78.2% | 42 | 7 | 11 | ||
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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, Golden State covered the spread 551 times, while Seattle covered the spread 449 times. No Edge. |
| In 1000 simulated games, 559 games went under the total, while 441 games went over the total. Edge against the total=Under. |
 | In 1000 simulated games, Seattle won the game straight up 588 times, while Golden State won 387 times. Edge on the money line=Golden State. |
 | In 1000 simulated games, Golden State covered the first half line 519 times, while Seattle covered the first half line 433 times. No Edge. |
| In 1000 simulated games, 577 games went under the first half total, while 423 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 556 times, and failed to cover 444 times. No Edge. |
| In 1000 simulated games, Golden State covered the 4 point teaser line 657 times, and failed to cover 343 times. No Edge. |
| In 1000 simulated games, 549 games went over the 4 point teaser total, while 451 failed to go over. No Edge. |
| In 1000 simulated games, 670 games went under the 4 point teaser total, while 330 failed to go under. No Edge. |
Potential Trends Based On Simulator Projection |
| Trends Favoring Golden State. | |
|---|---|
| Bet on Golden State when their opponents make 29% to 35% of their 3 pointers in a game. Golden State record during the 2025 season: 6-0 (100%) ATS with an average line of +4.4. (+6.0 unit$, ROI=90.9%). The average score of these games was VALKYRIES 83.5, Opponents 77.5. |
| Bet against Seattle in away games when they make 77% to 82% of their free throws in a game. Seattle record since the 2024 season: 0-6 (0%) ATS with an average line of -8.9. (-6.6 unit$, ROI=-100.0%). The average score of these games was Storm 79.7, Opponents 83.0. |
| Bet against Seattle in away games in games where they force 13 to 18 turnovers. Seattle record during the 2025 season: 0-6 (0%) ATS with an average line of -9.3. (-6.6 unit$, ROI=-100.0%). The average score of these games was Storm 80.7, Opponents 77.7. |
| Bet against Seattle in away games on the money line when they make 77% to 82% of their free throws in a game. Seattle record since the 2024 season: 0-5 (0%) with an average money line of -357. (-17.9 unit$, ROI=-100.0%) The average score of these games was Storm 79.7, Opponents 83.0. |
| Bet on Golden State on the 1st half line when they grab 8 to 12 offensive rebounds in a game. Golden State record on the 1st half line during the 2025 season: 11-1 (92%) with an average 1st half line of +3.0. (+9.9 unit$, ROI=69.2%) The average 1st half score of these games was VALKYRIES 41.0, Opponents 38.5. |
| Bet on Golden State on the 1st half line when their opponents make 29% to 35% of their 3 pointers in a game. Golden State record on the 1st half line during the 2025 season: 6-0 (100%) with an average 1st half line of +2.0. (+6.0 unit$, ROI=90.9%) The average 1st half score of these games was VALKYRIES 45.3, Opponents 36.5. |
| Bet on Golden State on the 1st half line when they make 29% to 35% of their three point attempts in a game. Golden State record on the 1st half line during the 2025 season: 8-1 (89%) with an average 1st half line of +3.5. (+6.9 unit$, ROI=69.7%) The average 1st half score of these games was VALKYRIES 41.1, Opponents 37.6. |
| Trends Favoring Over. | |
|---|---|
| Bet over the 1st half total in Seattle away games when they commit 3 to 6 fewer turnovers than their opponents. The 1st half Over's record since the 2024 season: 8-0 (100%) with an average 1st half over/under of 80.5. (+8.0 unit$, ROI=90.9%) The average score of these games was Storm 46.3, Opponents 39.8. |
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.