MLB Baseball Predictions

Updated

Upcoming Games for July 16, 2026

TimeTeamsPitchersWinBest
ML
Best
Spread
RunsTotal
Runs
Best
O/U

Bet Value

We use three different graphics to describe Bet Value within a matchup.

More on Bet Value
More Details
New York Mets (60-60)
Philadelphia Phillies (61-59)
Christian Scott
Aaron Nola
46.4%
53.6%
+112
-123
+118
-128
+1½-177
-1½+155
+1½-175
-1½+158
4.32
4.70
9.02
o9½-108
u9½-105
o9½-110
u9½-105
Games for Jul 15, 2026

Completed Games

TimeTeamsWinBest
ML
Best
Spread
Final
Runs
Sportsbook
Log Loss
DRatings
Log Loss
Colorado Rockies
Philadelphia Phillies
42.1%
57.9%
+157
-167
+160
-163
+1½-125
-1½+110
+1½-125
-1½+115
3
4
-0.48373-0.48279-0.54695
Los Angeles Dodgers
Chicago Cubs
60.8%
39.2%
-118
+112
-120
+114
-1½+130
+1½-145
-1½+132
+1½-140
9
4
-0.62672-0.61880-0.49794
Washington Nationals
Minnesota Twins
45.9%
54.1%
+275
-305
+270
-290
+1½+135
-1½-145
+1½+135
-1½-140
10
4
-1.34132-1.32208-0.77914
Toronto Blue Jays
New York Yankees
46.2%
53.8%
+155
-165
+160
-169
+1½-135
-1½+125
+1½-130
-1½+126
2
3
-0.48848-0.47760-0.61997
New York Mets
San Francisco Giants
42.2%
57.8%
+110
-115
+106
-105
+1½-190
-1½+168
+1½-195
-1½+185
7
0
-0.75294-0.72033-0.86171
St. Louis Cardinals
Seattle Mariners
47.7%
52.3%
+111
-117
+112
-120
+1½-190
-1½+166
+1½-185
-1½+170
2
5
-0.63074-0.62315-0.64758
San Diego Padres
Arizona Diamondbacks
60.3%
39.7%
-107
+100
-105
+100
-1½+145
+1½-165
-1½+150
+1½-164
0
9
-0.70991-0.70528-0.92344
Kansas City Royals
Los Angeles Angels
41.9%
58.1%
+230
-240
+227
-250
+1½+115
-1½-125
+1½+120
-1½-125
0
2
-0.35718-0.35636-0.54369
Boston Red Sox
Milwaukee Brewers
45.8%
54.2%
+152
-161
+155
-168
+1½-140
-1½+120
+1½-138
-1½+125
5
3
-0.93785-0.95493-0.78128
Washington Nationals
Minnesota Twins
45.9%
54.1%
+210
-225
+208
-230
+1½-105
-1½-115
+1½-105
-1½-109
3
2
-1.14618-1.14633-0.77914
Oakland Athletics
Texas Rangers
58.1%
41.9%
+210
-220
+200
-220
+1½+110
-1½-122
+1½+110
-1½-120
5
4
-1.14144-1.11923-0.54239
Houston Astros
Atlanta Braves
50.2%
49.8%




6
4
-0.68999
Toronto Blue Jays
New York Yankees
46.2%
53.8%




6
1
-0.77210
Detroit Tigers
Baltimore Orioles
50.1%
49.9%




1
2
-0.69487
Colorado Rockies
Philadelphia Phillies
42.1%
57.9%




3
4
-0.54695
Chicago White Sox
Tampa Bay Rays
46.2%
53.8%




7
8
-0.62047
Load More Games

Season Prediction Results

 GamesRecord (Pct)No Pick

Log Loss

Log loss is used to determine the accuracy of a model.

More on Log Loss
+/-
Sportsbooks00-0 (0.000)0 
Sportsbooks00-0 (0.000)0 
DRatings00-0 (0.000)0

Season Simulation

 Regular SeasonPostseason
#TeamWLMake PlayoffsWin DivisionWin Conf.Conf. Champ.World Series

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.