Upcoming Games for May 17, 2025
| Time | Teams | Pitchers | Win | Best ML | Best Spread | Runs | Total Runs | Best O/U | More Details | |
|---|---|---|---|---|---|---|---|---|---|---|
| New York Mets (28-16) New York Yankees (25-18) | Griffin Canning Clarke Schmidt | 43.2% 56.8% | +117 -125 +122 -127 | +1½-170 -1½+150 +1½-165 -1½+150 | 4.40 5.11 | 9.51 | o9½-113 u9½-103 o9½-105 u9½+100 | |||
| Chicago White Sox (14-29) Chicago Cubs (25-19) | Sean Burke Matthew Boyd | 27.9% 72.1% | +232 -258 +235 -260 | +1½+115 -1½-135 +1½+120 -1½-140 | 2.93 5.21 | 8.14 | o10½-105 u10½-115 o10-120 u10½-110 | |||
| Detroit Tigers (29-15) Toronto Blue Jays (21-21) | Reese Olson UNDECIDED UNDECIDED | 52.9% 47.1% | 4.38 4.08 | 8.46 | ||||||
| Washington Nationals (18-26) Baltimore Orioles (15-26) | Jake Irvin Kyle Gibson | 42.9% 57.1% | +139 -149 +140 -150 | +1½-145 -1½+125 +1½-140 -1½+130 | 4.35 5.10 | 9.45 | o10-107 u10-108 o9½-125 u10-105 | |||
| Tampa Bay Rays (19-23) Miami Marlins (16-26) | Drew Rasmussen Sandy Alcántara | 58.3% 41.7% | -138 +131 -136 +130 | -1½+120 +1½-135 -1½+125 +1½-140 | 3.94 3.08 | 7.02 | o8+100 u8-113 o8+100 u8-115 | |||
| Pittsburgh Pirates (15-29) Philadelphia Phillies (25-18) | Carmen Mlodzinski Zack Wheeler | 29.1% 70.9% | +240 -270 +245 -275 | +1½+115 -1½-135 +1½+115 -1½-130 | 3.16 5.31 | 8.47 | o8½-108 u8½-108 o8½-105 u8½-110 | |||
| Cleveland Guardians (25-18) Cincinnati Reds (20-24) | Slade Cecconi Brent Suter | 52.7% 47.3% | -118 +111 -123 +113 | -1½+130 +1½-140 -1½+122 +1½-140 | 4.81 4.53 | 9.34 | o10+102 u10-115 o10-105 u10-115 | |||
| Houston Astros (22-20) Texas Rangers (23-21) | Ronel Blanco Tyler Mahle | 39.1% 60.9% | +124 -132 +125 -135 | +1½-170 -1½+155 +1½-170 -1½+155 | 2.76 3.91 | 6.67 | o8½+102 u8+100 o8-115 u8+100 | |||
| St. Louis Cardinals (24-20) Kansas City Royals (25-20) | Miles Mikolas UNDECIDED UNDECIDED | 40.2% 59.8% | +109 -120 +102 -114 | +1½-190 -1½+170 +1½-200 -1½+175 | 3.93 4.96 | 8.89 | o8½-120 u9-120 o8½-120 u8½+100 | |||
| Atlanta Braves (21-22) Boston Red Sox (22-23) | Grant Holmes Lucas Giolito | 50.6% 49.4% | +107 -116 +108 -118 | +1½-190 -1½+174 +1½-185 -1½+170 | 4.79 4.72 | 9.51 | o9-115 u9+102 o9-115 u9½-120 | |||
| Minnesota Twins (23-20) Milwaukee Brewers (21-23) | Pablo Lopez Tobias Myers | 50.8% 49.2% | -107 -101 -107 +100 | -1½+157 +1½-170 | 4.25 4.18 | 8.43 | o8+105 u7½+100 o7½-110 u7½-105 | |||
| Colorado Rockies (7-36) Arizona Diamondbacks (23-21) | Germán Márquez Zac Gallen | 21.4% 78.6% | +277 -310 +288 -330 | +1½+141 -1½-160 +1½+150 -1½-150 | 2.96 5.99 | 8.95 | o9-105 u9-103 o9-110 u9-105 | Volatility Bet Value Active | ||
| Seattle Mariners (23-19) San Diego Padres (27-15) | Emerson Hancock Nick Pivetta | 32.6% 67.4% | +154 -164 +153 -165 | +1½-140 -1½+130 +1½-145 -1½+140 | 3.09 4.88 | 7.97 | o8-113 u8+100 o8-115 u8+100 | |||
| Oakland Athletics (22-21) San Francisco Giants (25-19) | Luis Severino Landen Roupp | 44.7% 55.3% | +117 -124 +115 -120 | +1½-185 -1½+165 +1½-185 -1½+175 | 3.76 4.32 | 8.08 | o8-113 u8-103 o8-110 u8-105 | |||
| Los Angeles Angels (17-25) Los Angeles Dodgers (28-15) | Tyler Anderson Clayton Kershaw | 29.0% 71.0% | +210 -227 +210 -230 | +1½+106 -1½-120 +1½+100 -1½-115 | 3.25 5.41 | 8.66 | o9-113 u9-102 o9-115 u9+105 |
Completed Games
| Time | Teams | Win | Best ML | Best Spread | Final Runs | Sportsbook Log Loss | DRatings Log Loss |
|---|---|---|---|---|---|---|---|
| Oakland Athletics San Francisco Giants | 32.6% 67.4% | +172 -180 +175 -190 | +1½-128 -1½+120 +1½-130 -1½+120 | 1 9 | -0.45229-0.44150 | -0.39453 | |
| Los Angeles Angels Los Angeles Dodgers | 28.1% 71.9% | +265 -285 +275 -300 | +1½+145 -1½-153 +1½+155 -1½-155 | 6 2 | -1.30885-1.33827 | -1.26776 | |
| Seattle Mariners San Diego Padres | 42.6% 57.4% | +158 -163 +156 -159 | +1½-133 -1½+117 +1½-135 -1½+130 | 5 1 | -0.95514-0.94451 | -0.85372 | |
| Colorado Rockies Arizona Diamondbacks | 25.9% 74.1% | +320 -350 +330 -355 | +1½+160 -1½-175 +1½+170 -1½-190 | 0 8 | -0.26707-0.26088 | -0.29953 | |
| Pittsburgh Pirates Philadelphia Phillies | 34.9% 65.1% | +220 -225 +220 -235 | +1½+102 -1½-115 +1½+105 -1½-120 | 4 8 | -0.37251-0.36844 | -0.42960 | |
| Minnesota Twins Milwaukee Brewers | 51.9% 48.1% | -108 +103 -111 +104 | -1½+150 +1½-163 -1½+150 +1½-165 | 3 0 | -0.66719-0.65846 | -0.65497 | |
| Houston Astros Texas Rangers | 39.6% 60.4% | +179 -185 +180 -190 | +1½-118 -1½+105 +1½-125 -1½+110 | 6 3 | -1.03356-1.04185 | -0.92563 | |
| St. Louis Cardinals Kansas City Royals | 41.1% 58.9% | +135 -143 +142 -147 | +1½-153 -1½+137 +1½-155 -1½+145 | 10 3 | -0.86833-0.89211 | -0.88824 | |
| Washington Nationals Baltimore Orioles | 46.8% 53.2% | +113 -121 +112 -122 | +1½-188 -1½+170 +1½-190 -1½+175 | 4 3 | -0.77297-0.77245 | -0.75845 | |
| Atlanta Braves Boston Red Sox | 46.0% 54.0% | +101 -107 +109 -109 | +1½-200 -1½+190 | 4 2 | -0.71245-0.73716 | -0.77720 | |
| Tampa Bay Rays Miami Marlins | 48.1% 51.9% | -120 +113 -117 +114 | -1½+140 +1½-153 -1½+140 +1½-150 | 4 9 | -0.77096-0.76725 | -0.65493 | |
| Detroit Tigers Toronto Blue Jays | 54.8% 45.2% | -110 +101 -114 +104 | -1½+142 +1½-158 -1½+140 +1½-155 | 5 4 | -0.66771-0.65243 | -0.60175 | |
| New York Mets New York Yankees | 43.9% 56.1% | +132 -142 +129 -138 | +1½-158 -1½+150 +1½-165 -1½+150 | 2 6 | -0.55076-0.56140 | -0.57819 | |
| Cleveland Guardians Cincinnati Reds | 53.2% 46.8% | -116 +107 -117 +108 | -1½+137 +1½-150 -1½+135 +1½-145 | 4 5 | -0.74748-0.75211 | -0.75974 | |
| Chicago White Sox Chicago Cubs | 33.7% 66.3% | +199 -215 +200 -220 | +1½+107 -1½-110 +1½+110 -1½-115 | 3 13 | -0.39878-0.39531 | -0.41139 | |
| Oakland Athletics Los Angeles Dodgers | 33.9% 66.1% | +222 -235 +220 -240 | +1½+120 -1½-113 +1½+110 -1½-125 | 2 19 | -0.36652-0.36652 | -0.41331 |
Season Prediction Results
| Games | Record (Pct) | No Pick | +/- | ||
|---|---|---|---|---|---|
| Sportsbooks | 15 | 7-8 (0.467) | 0 | -0.70307 | |
| Sportsbooks | 15 | 7-8 (0.467) | 0 | -0.70561 | |
| DRatings | 15 | 8-7 (0.533) | 0 | -0.68371 | 0.01936 0.02190 |
Predictions Methodology
Here we use computer estimates from the Inference Index to predict future Major League baseball games. We use previous score and pitcher data to best attempt to estimate the results of each game. The predictions do not account for injuries, or any other factors that may cause the outcome to be swayed in one direction or another. There is a lot of randomness, particularly in baseball, so there will always be some error in the prediction.
Beginning in the 2014 season, we have begun including probable starting pitcher into the calculation. If there is a late change in the starting pitcher for a team and it is not reflected below then the projections will not be an accurate assessment on the game. The current projection system for Major League Baseball games is at Level 3, our highest level of analysis. The Predictor should be used for entertainment purposes only.