MLB Baseball Predictions

Updated

Upcoming Games for May 27, 2022

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
San Francisco Giants (24-19)
Cincinnati Reds (14-30)
Carlos Rodon
Graham Ashcraft
68.9%
31.1%
-205
+190
-205
+193
-1½-130
+1½+110
-1½-132
+1½+120
5.04
3.11
8.15
o8-120
u8½-110
o8½+100
u8½-115
Colorado Rockies (20-24)
Washington Nationals (16-30)
Austin Gomber
Aaron Sanchez
48.6%
51.4%
+101
-111
+104
-108
+1½-190
-1½+170
+1½-190
-1½+175
4.28
4.42
8.70
o9½-110
u9½-105
o9-120
u9½-105
Volatility Bet Value Active
Philadelphia Phillies (21-24)
New York Mets (29-17)
Bailey Falter
Carlos Carrasco
43.6%
56.4%
+147
-155
+148
-152
+1½-150
-1½+130
+1½-144
-1½+135
4.44
5.12
9.56
o8½-105
u8½-115
o8-120
u8½-115
Overall Bet Value Active
Baltimore Orioles (18-27)
Boston Red Sox (21-23)
Kyle Bradish
Garrett Whitlock
38.2%
61.8%
+157
-167
+164
-170
+1½-125
-1½+110
+1½-120
-1½+105
4.46
5.70
10.16
o10-105
u10-115
o10-105
u10-115
Overall Bet Value Active
Cleveland Guardians (18-23)
Detroit Tigers (16-28)
Shane Bieber
Alex Faedo
59.9%
40.1%
-145
+136
-140
+141
-1½+115
+1½-131
-1½+117
+1½-130
4.79
3.75
8.54
o7-122
u7+105
o7-120
u7+105
Volatility Bet Value Active
New York Yankees (32-13)
Tampa Bay Rays (26-18)
Jameson Taillon
Jeffrey Springs
51.0%
49.0%
+110
-118
+112
-116
+1½-197
-1½+172
+1½-185
-1½+175
4.02
3.91
7.93
o7½+115
u7½-119
o7-120
u7½-120
Miami Marlins (18-24)
Atlanta Braves (21-24)
Trevor Rogers
Ian Anderson
43.9%
56.1%
+124
-134
+126
-132
+1½-165
-1½+148
+1½-165
-1½+150
3.64
4.27
7.91
o9-105
u9-112
o9-105
u9-105
Kansas City Royals (15-28)
Minnesota Twins (27-18)
Brad Keller
Bailey Ober
39.9%
60.1%
+165
-173
+165
-173
+1½-130
-1½+115
+1½-130
-1½+115
3.63
4.69
8.32
o8½-110
u8½-105
o8½-105
u8½-105
Milwaukee Brewers (29-16)
St. Louis Cardinals (24-20)
Brandon Woodruff
Dakota Hudson
52.3%
47.7%
-135
+128
-134
+130
-1½+120
+1½-135
-1½+120
+1½-138
3.93
3.68
7.61
o7-105
u7-102
o7-115
u7+100
Volatility Bet Value Active
Toronto Blue Jays (24-20)
Los Angeles Angels (27-19)
Alek Manoah
Chase Silseth
55.7%
44.3%
-119
+114
-119
+112
-1½+140
+1½-155
-1½+140
+1½-153
4.09
3.49
7.58
o8-105
u8-115
o8+100
u8-110
Los Angeles Dodgers (30-14)
Arizona Diamondbacks (23-23)
Ryan Pepiot
Madison Bumgarner
61.9%
38.1%
-143
+134
-145
+138
-1½+100
+1½-115
-1½+100
+1½-114
4.95
3.70
8.65
o10-115
u10-105
o10-110
u10+100
Pittsburgh Pirates (18-25)
San Diego Padres (28-16)
Jose Quintana
Sean Manaea
36.8%
63.2%
+189
-205
+193
-200
+1½-117
-1½+105
+1½-120
-1½+105
3.15
4.53
7.68
o7-115
u7-105
o7-105
u7-105
Volatility Bet Value Active
Texas Rangers (20-23)
Oakland Athletics (19-28)
Jon Gray
Cole Irvin
49.7%
50.3%
-122
+113
-118
+113
-1½+140
+1½-158
-1½+140
+1½-155
3.48
3.51
6.99
o7-114
u7+100
o7-115
u7+100
Houston Astros (29-16)
Seattle Mariners (18-27)
Justin Verlander
Chris Flexen
58.3%
41.7%
-191
+181
-199
+185
-1½-120
+1½+105
-1½-120
+1½+107
4.37
3.50
7.87
o7½+100
u7½-115
o7-120
u7½-120
Games for May 26, 2022

Completed Games

TimeTeamsWinBest
ML
Best
Spread
Final
Runs
Sportsbook
Log Loss
DRatings
Log Loss
Philadelphia Phillies
Atlanta Braves
49.0%
51.0%
-111
+102
-111
+105


4
1
-0.66322-0.65610-0.71290
Cleveland Guardians
Detroit Tigers
47.1%
52.9%
+122
-128
+125
-132
+1½-170
-1½+155
+1½-170
-1½+163
3
4
-0.58909-0.57725-0.63592
Colorado Rockies
Washington Nationals
52.6%
47.4%
+103
-109
+102
-107
+1½-198
-1½+173
+1½-200
-1½+176
3
7
-0.66503-0.67178-0.74689
New York Yankees
Tampa Bay Rays
58.8%
41.2%
-114
+105
-113
+105
-1½+145
+1½-160
-1½+146
+1½-160
7
2
-0.65009-0.65204-0.53050
Chicago Cubs
Cincinnati Reds
48.3%
51.7%
-109
+100
-106
+102
-1½+145
+1½-161
-1½+150
+1½-160
5
20
-0.71445-0.71266-0.66010
Texas Rangers
Los Angeles Angels
42.6%
57.4%
+156
-166
+160
-164
+1½-130
-1½+113
+1½-125
-1½+115
7
2
-0.95459-0.96131-0.85221
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
+/-
Sportsbooks106-4 (0.600)0-0.70503 
Sportsbooks106-4 (0.600)0-0.70563 
DRatings103-7 (0.300)0-0.70771
-0.00268
-0.00208

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.