Upcoming Games for May 30, 2025
Time | Teams | Pitchers | Win | Best ML | Best Spread | Runs | Total Runs | Best O/U | More Details | |
---|---|---|---|---|---|---|---|---|---|---|
Cincinnati Reds (28-29) Chicago Cubs (35-21) | Andrew Abbott Colin Rea | 42.0% 58.0% | +146 -153 +147 -160 | +1½-140 -1½+127 +1½-143 -1½+130 | 3.72 4.57 | 8.29 | o9-115 u9+102 o9-115 u9+102 | |||
Chicago White Sox (18-38) Baltimore Orioles (19-36) | Jared Shuster Zach Eflin | 32.5% 67.5% | +190 -210 +190 -197 | +1½-108 -1½-105 +1½-110 -1½+105 | 2.76 4.55 | 7.31 | o9-104 u9-108 o9-105 u9-110 | |||
Milwaukee Brewers (29-28) Philadelphia Phillies (36-20) | DL Hall Taijuan Walker | 43.7% 56.3% | +112 -120 +116 -122 | +1½-173 -1½+157 +1½-170 -1½+160 | 4.50 5.16 | 9.66 | o9½-113 u9½-103 o9½-110 u9½-105 | |||
Oakland Athletics (23-34) Toronto Blue Jays (28-28) | Jeffrey Springs Chris Bassitt | 39.8% 60.2% | +163 -171 +161 -170 | +1½-135 -1½+122 +1½-135 -1½+120 | 3.27 4.33 | 7.60 | o9+107 u9-115 o8½-120 u8½+105 | |||
Colorado Rockies (9-47) New York Mets (34-22) | Kyle Freeland David Peterson | 26.2% 73.8% | +273 -310 +290 -320 | +1½+130 -1½-143 +1½+130 -1½-145 | 2.75 5.23 | 7.98 | o7½-120 u8-113 o7½-120 u8-115 | |||
San Francisco Giants (31-25) Miami Marlins (22-32) | Kyle Harrison Cal Quantrill | 59.0% 41.0% | -162 +155 -165 +154 | -1½-103 +1½-113 -1½-105 +1½-110 | 4.75 3.81 | 8.56 | o8½-118 u8½+102 o8½-120 u8½+105 | |||
Los Angeles Angels (25-30) Cleveland Guardians (30-25) | Jose Soriano Luis Ortiz | 42.3% 57.7% | +129 -137 +129 -139 | +1½-163 -1½+147 +1½-160 -1½+150 | 3.47 4.29 | 7.76 | o8½-110 u8½-103 o8½-115 u8½-105 | |||
Boston Red Sox (27-31) Atlanta Braves (26-29) | Lucas Giolito Grant Holmes | 39.6% 60.4% | +146 -156 +150 -162 | +1½-138 -1½+125 +1½-140 -1½+120 | 3.96 5.06 | 9.02 | o9½+100 u9½-113 o9½+100 u9+110 | |||
St. Louis Cardinals (32-24) Texas Rangers (27-30) | Matthew Liberatore Jack Leiter | 54.7% 45.3% | -122 +117 -126 +116 | -1½+127 +1½-143 -1½+135 +1½-145 | 4.45 3.95 | 8.40 | o8½-108 u8½-108 o8½+100 u8½-110 | |||
Detroit Tigers (37-20) Kansas City Royals (30-27) | Casey Mize Seth Lugo | 51.4% 48.6% | -115 +106 -113 +108 | -1½+147 +1½-160 -1½+140 +1½-155 | 3.89 3.75 | 7.64 | o8½-108 u8½-105 o8½-110 u8½-105 | |||
Tampa Bay Rays (29-27) Houston Astros (30-26) | Ryan Pepiot Framber Valdez | 45.0% 55.0% | +137 -145 +137 -144 | +1½-158 -1½+142 +1½-160 -1½+150 | 3.39 3.92 | 7.31 | o7½-113 u7½-103 o7½-110 u7½-105 | |||
Washington Nationals (26-30) Arizona Diamondbacks (27-29) | Jake Irvin Merrill Kelly | 34.2% 65.8% | +193 -207 +190 -210 | +1½-108 -1½-108 +1½-110 -1½-110 | 3.29 4.93 | 8.22 | o9-115 u9+102 o9-115 u9+105 | |||
Pittsburgh Pirates (21-36) San Diego Padres (31-23) | Mitch Keller Nick Pivetta | 35.0% 65.0% | +176 -186 +175 -188 | +1½-133 -1½+117 +1½-130 -1½+115 | 2.61 4.17 | 6.78 | o7½+102 u7½-115 o7½-105 u7½-115 | |||
Minnesota Twins (30-25) Seattle Mariners (30-25) | Zebby Matthews Bryan Woo | 40.8% 59.2% | +126 -135 +125 -135 | +1½-178 -1½+160 +1½-180 -1½+170 | 3.05 4.02 | 7.07 | o7-105 u7-105 o7-110 u7-110 | |||
New York Yankees (35-20) Los Angeles Dodgers (34-22) | Max Fried Tony Gonsolin | 50.0% 50.0% | -115 +107 -115 +108 | -1½+140 +1½-153 -1½+145 +1½-158 | 4.30 4.31 | 8.61 | o9+100 u9-113 o9+100 u9-110 |
Completed Games
Time | Teams | Win | Best ML | Best Spread | Final Runs | Sportsbook Log Loss | DRatings Log Loss |
---|---|---|---|---|---|---|---|
New York Mets Washington Nationals | 51.1% 48.9% | +116 -126 +118 -120 | +1½-210 -1½+180 +1½-210 -1½+185 | 5 1 | -0.79039-0.78347 | -0.67193 | |
Tampa Bay Rays Seattle Mariners | 50.1% 49.9% | -105 -104 -101 -101 | 1 5 | -0.69549-0.69315 | -0.69445 | ||
Cincinnati Reds San Diego Padres | 40.3% 59.7% | +174 -186 +177 -186 | +1½-110 -1½-105 +1½-115 -1½+105 | 2 8 | -0.44544-0.44153 | -0.51651 | |
Philadelphia Phillies San Francisco Giants | 48.4% 51.6% | +138 -143 +134 -136 | +1½-155 -1½+146 +1½-165 -1½+150 | 3 5 | -0.53883-0.55479 | -0.66237 | |
Los Angeles Dodgers Arizona Diamondbacks | 71.3% 28.7% | -195 +185 -195 +185 | -1½-133 +1½+120 -1½-129 +1½+130 | 3 0 | -0.42580-0.42580 | -0.33794 | |
Detroit Tigers Los Angeles Angels | 38.9% 61.1% | +192 -210 +193 -205 | +1½+100 -1½-119 +1½+105 -1½-110 | 3 11 | -0.40916-0.41065 | -0.49310 | |
Milwaukee Brewers Colorado Rockies | 64.1% 35.9% | -185 +175 -181 +176 | -1½-124 +1½+115 -1½-125 +1½+120 | 5 6 | -1.02427-1.02165 | -1.02407 | |
Boston Red Sox Kansas City Royals | 57.0% 43.0% | -152 +142 -147 +141 | -1½-110 +1½-105 -1½+100 +1½-110 | 3 5 | -0.90002-0.88965 | -0.84413 | |
Chicago White Sox Houston Astros | 54.8% 45.2% | -104 -105 -103 +100 | -1½+150 +1½-165 -1½+150 +1½-160 | 1 2 | -0.69081-0.70051 | -0.79416 | |
Minnesota Twins Texas Rangers | 57.1% 42.9% | -154 +149 -152 +148 | -1½+105 +1½-113 -1½+100 +1½-115 | 7 5 | -0.50826-0.51194 | -0.56010 | |
Miami Marlins Chicago Cubs | 45.5% 54.5% | +150 -161 +150 -155 | +1½-132 -1½+125 +1½-135 -1½+125 | 10 2 | -0.93300-0.92410 | -0.78691 | |
St. Louis Cardinals Atlanta Braves | 39.8% 60.2% | +143 -153 +143 -150 | +1½-136 -1½+132 +1½-140 -1½+125 | 1 9 | -0.51909-0.52227 | -0.50818 | |
Cleveland Guardians Pittsburgh Pirates | 57.2% 42.8% | -130 +120 -126 +123 | -1½+117 +1½-130 -1½+125 +1½-135 | 10 11 | -0.80802-0.80793 | -0.84873 | |
Oakland Athletics New York Yankees | 45.4% 54.6% | +126 -136 +129 -137 | +1½-155 -1½+140 +1½-150 -1½+135 | 5 3 | -0.83393-0.84318 | -0.79069 | |
Toronto Blue Jays Baltimore Orioles | 60.6% 39.4% | -202 +185 -195 +185 | -1½-143 +1½+130 -1½-140 +1½+130 | 1 7 | -1.06688-1.05915 | -0.93123 | |
New York Mets Washington Nationals | 48.8% 51.2% | +120 -125 +119 -124 | +1½-175 -1½+160 +1½-175 -1½+165 | 0 1 | -0.59784-0.60150 | -0.66980 |
Season Prediction Results
Games | Record (Pct) | No Pick | +/- | ||
---|---|---|---|---|---|
Sportsbooks | 4 | 2-2 (0.500) | 0 | -0.64358 | |
Sportsbooks | 4 | 2-2 (0.500) | 0 | -0.64609 | |
DRatings | 4 | 2-2 (0.500) | 0 | -0.67627 | -0.03269 -0.03018 |
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.