MLB Baseball Predictions

Updated

Upcoming Games for June 17, 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
Toronto Blue Jays (63-56)
Boston Red Sox (69-54)
Braydon Fisher
Jake Bennett
48.2%
51.8%
+104
-112
+105
-112
+1½-185
-1½+165
+1½-185
-1½+165
5.65
5.84
11.49
o10+100
u10-107
o10-110
u10-105
Chicago White Sox (71-50)
New York Yankees (69-52)
Anthony Kay
Carlos Rodon
46.0%
54.0%
+146
-161
+156
-168
+1½-133
-1½+125
+1½-135
-1½+120
4.69
5.11
9.80
o8½-105
u8½-115
o8½+100
u8½-115
San Francisco Giants (78-43)
Atlanta Braves (65-56)
Carson Whisenhunt
JR Ritchie
48.7%
51.3%
+120
-132
+125
-130
+1½-165
-1½+145
+1½-165
-1½+150
4.05
4.18
8.23
o9-119
u9½-120
o9-120
u9+100
Volatility Bet Value Active
Cleveland Indians (58-61)
Milwaukee Brewers (74-47)
Gavin Williams
Brandon Sproat
39.6%
60.4%
+109
-120
+112
-120
+1½-200
-1½+174
+1½-200
-1½+175
3.77
4.87
8.64
o7½-105
u7½-110
o7½-110
u7½-105
Colorado Rockies (55-66)
Chicago Cubs (54-69)
Sean Sullivan
Javier Assad
46.8%
53.2%
+180
-200
+180
-189
+1½-110
-1½-110
+1½-110
-1½+100
5.44
5.77
11.21
o10-110
u10-105
o10-110
u10-110
Baltimore Orioles (38-81)
Seattle Mariners (65-56)
Kyle Bradish
George Kirby
39.8%
60.2%
+114
-126
+120
-127
+1½-185
-1½+163
+1½-185
-1½+168
4.53
5.59
10.12
o7½-105
u7½-110
o7½-105
u7½-110
Pittsburgh Pirates (42-79)
Oakland Athletics (68-53)
Braxton Ashcraft
Aaron Civale
32.5%
67.5%
-122
+111
-116
+113
-1½+125
+1½-145
-1½+130
+1½-140
3.66
5.46
9.12
o10½-105
u10-105
o10-115
u10+100
Volatility Bet Value Active
Games for Jun 16, 2026

Completed Games

TimeTeamsWinBest
ML
Best
Spread
Final
Runs
Sportsbook
Log Loss
DRatings
Log Loss
Minnesota Twins
Detroit Tigers
51.3%
48.7%
+115
-127
+117
-122
+1½-181
-1½+160
+1½-175
-1½+160
0
11
-0.60506-0.60899-0.72046
Arizona Diamondbacks
Miami Marlins
43.6%
56.4%
+117
-129
+121
-120
+1½-183
-1½+160
+1½-180
-1½+165
0
2
-0.59776-0.60407-0.57302
St. Louis Cardinals
New York Mets
44.5%
55.5%
+134
-148
+135
-145
+1½-159
-1½+139
+1½-155
-1½+143
4
5
-0.54007-0.54173-0.58918
Houston Astros
Los Angeles Angels
53.8%
46.2%
+115
-126
+113
-115
+1½-180
-1½+165
+1½-175
-1½+170
2
3
-0.60664-0.63006-0.77161
Milwaukee Brewers
Oakland Athletics
51.1%
48.9%
+102
-110
-103
-103

-1½+135
+1½-145
3
4
-0.66532-0.69315-0.71564
Chicago Cubs
Colorado Rockies
46.8%
53.2%
-176
+159
-165
+156
-1½-122
+1½+105
-1½-115
+1½+105
2
3
-0.97517-0.95319-0.63175
Atlanta Braves
Chicago White Sox
45.5%
54.5%
-143
+130
-140
+137
-1½+120
+1½-135
-1½+117
+1½-125
1
2
-0.85590-0.86814-0.60719
Texas Rangers
Kansas City Royals
44.1%
55.9%
-113
+103
-110
+105
-1½+135
+1½-155
-1½+135
+1½-145
6
4
-0.65676-0.65817-0.81844
St. Louis Cardinals
New York Mets
44.5%
55.5%
+118
-130
+120
-129
+1½-177
-1½+155
+1½-175
-1½+155
9
2
-0.80298-0.80616-0.80919
Philadelphia Phillies
Toronto Blue Jays
43.0%
57.0%
-130
+118
-128
+130
-1½+122
+1½-140
-1½+125
+1½-130
7
4
-0.59419-0.57350-0.84364
Minnesota Twins
Detroit Tigers
51.5%
48.5%
+147
-163
+152
-155
+1½-135
-1½+117
+1½-130
-1½+130
6
4
-0.92854-0.92889-0.66291
Arizona Diamondbacks
Miami Marlins
42.2%
57.8%
-113
+103
-110
+105
-1½+145
+1½-165
-1½+150
+1½-165
0
8
-0.73091-0.72940-0.54754
Los Angeles Dodgers
Pittsburgh Pirates
66.4%
33.6%
-195
+175
-195
+178
-1½-127
+1½+115
-1½-115
+1½+115
8
9
-1.03595-1.04299-1.08999
Seattle Mariners
Baltimore Orioles
53.9%
46.1%
-106
-104
+100
+105

-1½+160
+1½-155
2
7
-0.69780-0.70558-0.77510
Cincinnati Reds
San Diego Padres
45.6%
54.4%
+140
-155
+141
-151
+1½-150
-1½+130
+1½-150
-1½+135
4
5
-0.52206-0.52457-0.60943
Washington Nationals
San Francisco Giants
38.9%
61.1%
-105
-105
+105
+101


10
11
-0.69315-0.68334-0.49325
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
+/-
Sportsbooks2213-9 (0.591)0-0.66836 
Sportsbooks2213-9 (0.591)0-0.66685 
DRatings2213-9 (0.591)0-0.64932
0.01904
0.01753

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.