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| Thursday, 07/24/2025 8:30 PM (ET) | ||||||
|---|---|---|---|---|---|---|
| Gm# | Record | Open | Latest | ML | 1H | |
 SEA | 631 | 15-10 | -6 | -11.5 | -750 | -6.5 |
 CHI | 632 | 7-17 | 161 | 154.5 | +500 | 78.5 |
Matchup Content Menu |
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WNBA Simulation & Power Ratings |
Power Rating Projections |
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| Power Rating | ||||
|---|---|---|---|---|
| Teams | Rating | Estimate | Actual | Edge |
| SEA | 82 | -11 | -11.5 | |
| CHI | 69 | CHI (+0.5) | ||
Game Simulation Results |
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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 | ||
| SEA | 82 | Ov (+2.1) | 41 | 31-70 | 44.6% | 8-23 | 35.1% | 12-15 | 77.2% | 40 | 7 | 11 | |||
| CHI | 75 | CHI (+4.5) | 38 | CHI (+3.5) | Un (+0.3) | 28-66 | 41.8% | 7-20 | 33.6% | 13-17 | 77.5% | 46 | 10 | 17 | |
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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, Chicago covered the spread 633 times, while Seattle covered the spread 367 times. Edge against the spread=Chicago. |
| In 1000 simulated games, 568 games went over the total, while 432 games went under the total. Edge against the total=Over. |
 | In 1000 simulated games, Seattle won the game straight up 663 times, while Chicago won 306 times. Edge on the money line=Chicago. |
 | In 1000 simulated games, Chicago covered the first half line 624 times, while Seattle covered the first half line 376 times. Edge against the first half line=Chicago. |
| In 1000 simulated games, 518 games went under the first half total, while 482 games went over the first half total. No Edge. |
 | In 1000 simulated games, Chicago covered the 4 point teaser line 717 times, and failed to cover 283 times. No Edge. |
| In 1000 simulated games, Seattle covered the 4 point teaser line 477 times, and failed to cover 523 times. No Edge. |
| In 1000 simulated games, 656 games went over the 4 point teaser total, while 344 failed to go over. No Edge. |
| In 1000 simulated games, 548 games went under the 4 point teaser total, while 452 failed to go under. No Edge. |
Potential Trends Based On Simulator Projection |
| Trends Favoring Seattle. | |
|---|---|
| Bet on Seattle in away games when they allow 70 to 75 points in a game. Seattle record since the 2023 season: 7-0 (100%) ATS with an average line of +2.6. (+7.0 unit$, ROI=90.9%). The average score of these games was Storm 80.7, Opponents 72.6. |
| Bet against Chicago when their opponents make 45% to 48% of their shots in a game. Chicago record during the 2025 season: 0-8 (0%) ATS with an average line of +9.1. (-8.8 unit$, ROI=-100.0%). The average score of these games was Sky 65.4, Opponents 86.5. |
| Trends Favoring Chicago. | |
|---|---|
| Bet on Chicago in home games when they grab 4 to 9 more rebounds than their opponents in a game. Chicago record since the 2024 season: 6-0 (100%) ATS with an average line of +0.2. (+6.0 unit$, ROI=90.9%). The average score of these games was Sky 87.7, Opponents 78.7. |
| Bet on Chicago in home games on the 1st half line when they grab 4 to 9 more rebounds than their opponents in a game. Chicago record on the 1st half line since the 2024 season: 6-0 (100%) with an average 1st half line of +0.0. (+6.0 unit$, ROI=90.9%) The average 1st half score of these games was Sky 44.2, Opponents 35.7. |
| Trends Favoring Under. | |
|---|---|
| Bet under the total in Seattle games when they allow 70 to 75 points in a game. The Under's record since the 2024 season: 12-0 (100%) with an average over/under of 161.8. (+12.0 unit$, ROI=90.9%) The average score of these games was Storm 78.5, Opponents 72.1. |
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.