MLB Baseball Predictions

Updated

Upcoming Games for August 1, 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
St. Louis Cardinals (61-58)
Toronto Blue Jays (63-56)
Quinn Mathews
Kevin Gausman
40.4%
59.6%
+124
-135
+123
-130
+1½-170
-1½+149
+1½-170
-1½+160
4.07
5.08
9.15
o8½+100
u8½-110
o8½+100
u8½-110
Miami Marlins (51-70)
New York Mets (60-60)
Tyler Phillips
Zach Thornton
42.4%
57.6%
+113
-125
+115
-125
+1½-183
-1½+165
+1½-180
-1½+165
4.37
5.16
9.53
o9-105
u9-115
o9-105
u9-115
Chicago White Sox (71-50)
Tampa Bay Rays (74-47)
Jordan Hicks
Drew Rasmussen
46.2%
53.8%
+143
-158
+150
-160
+1½-145
-1½+130
+1½-150
-1½+135
4.27
4.67
8.94
o8-115
u8-105
o8-120
u8+100
Minnesota Twins (54-67)
Seattle Mariners (65-56)
Connor Prielipp
Logan Gilbert
47.5%
52.5%
+145
-160
+150
-160
+1½-150
-1½+130
+1½-150
-1½+135
5.36
5.63
10.99
o8+100
u8-115
o8+100
u8-120
Pittsburgh Pirates (42-79)
Cincinnati Reds (65-57)
Braxton Ashcraft
Andrew Abbott
36.4%
63.6%
-118
+107
-120
+110
-1½+137
+1½-157
-1½+140
+1½-155
3.74
5.17
8.91
o8½-105
u8½-115
o8½-105
u8½-115
Philadelphia Phillies (61-59)
Baltimore Orioles (38-81)
Cristopher Sanchez
Shane Baz
57.5%
42.5%
-138
+125
-135
+125
-1½+125
+1½-142
-1½+130
+1½-140
5.29
4.51
9.80
o8-110
u8-105
o8-110
u8-105
Texas Rangers (42-78)
Houston Astros (70-50)
Jacob deGrom
Ronel Blanco
40.8%
59.2%
-125
+113
-125
+115
-1½+130
+1½-150
-1½+130
+1½-150
3.68
4.64
8.32
o8½+100
u8½-115
o8½+100
u8½-115
Washington Nationals (52-68)
Atlanta Braves (65-56)
Miles Mikolas
Reynaldo Lopez
40.8%
59.2%
+167
-185
+170
-180
+1½-125
-1½+105
+1½-125
-1½+110
4.09
5.05
9.14
o9½+100
u9½-115
o9½+100
u9½-120
Arizona Diamondbacks (40-81)
Cleveland Indians (58-61)
Kohl Drake
Parker Messick
41.1%
58.9%
+140
-155
+145
-155
+1½-152
-1½+135
+1½-155
-1½+135
3.89
4.83
8.72
o8-117
u8½-115
o8-115
u8½-115
New York Yankees (69-52)
Chicago Cubs (54-69)
Max Fried
David Peterson
56.0%
44.0%
-118
+107
-120
+111
-1½+155
+1½-165
-1½+145
+1½-165
4.54
3.92
8.46
o6½+100
u6½-120
o6½+100
u6½-120
Kansas City Royals (52-67)
Colorado Rockies (55-66)
Luinder Avila
Ryan Feltner
45.3%
54.7%
+104
-115
+105
-110
+1½-180
-1½+165

4.96
5.44
10.40
o12-105
u12-115
o12-105
u12-115
San Francisco Giants (78-43)
San Diego Padres (67-56)
Tyler Mahle
Walker Buehler
47.0%
53.0%
+122
-134
+122
-130
+1½-165
-1½+155
+1½-160
-1½+140
3.84
4.15
7.99
o8½-110
u8½+100
o8½-110
u8½-110
Boston Red Sox (69-54)
Los Angeles Dodgers (75-46)
Payton Tolle
Yoshinobu Yamamoto
40.0%
60.0%
+139
-153
+150
-155
+1½-155
-1½+135
+1½-150
-1½+140
4.44
5.50
9.94
o8-110
u8-105
o8-110
u8-105
Volatility Bet Value Active
Milwaukee Brewers (74-47)
Los Angeles Angels (61-61)
Robert Gasser
Jose Soriano
51.6%
48.4%
-120
+109
-118
+110
-1½+135
+1½-155
-1½+140
+1½-155
4.78
4.62
9.40
o9+100
u9-120
o9+100
u9-120
Detroit Tigers (58-64)
Oakland Athletics (68-53)
Framber Valdez
Jack Perkins
37.1%
62.9%
-134
+122
-130
+120
-1½+115
+1½-133
-1½+115
+1½-135
3.87
5.22
9.09
o10½-120
u10½+100
o10½-120
u10½+100
Games for Jul 31, 2026
Games for Aug 2, 2026

Games In Progress

TimeTeamsOrig.
Win %
Closing
ML
Closing
Spread
Orig. Total
Runs
Closing
O/U
PeriodCurrent
Score
Minnesota Twins (54-67)
Seattle Mariners (65-56)
47.5%
52.5%
+152
-168
+158
-160
+1½-145
-1½+128
+1½-135
-1½+130
10.32
o7½-112
u7½-105
o7½-115
u8-115
8th
BOT
5
3
Boston Red Sox (69-54)
Los Angeles Dodgers (75-46)
40.0%
60.0%
+121
-133
+120
-115
+1½-185
-1½+161

9.94
o8-105
u8-107
o8-110
u8½+100
8th
TOP
8
4

Completed Games

TimeTeamsWinBest
ML
Best
Spread
Final
Runs
Sportsbook
Log Loss
DRatings
Log Loss
Boston Red Sox
Philadelphia Phillies
42.6%
57.4%
+114
-123
+118
-125
+1½-192
-1½+170
+1½-185
-1½+175
2
6
-0.61367-0.60195-0.55532
Chicago White Sox
New York Yankees
41.3%
58.7%
+139
-149
+140
-146
+1½-145
-1½+130
+1½-148
-1½+135
4
5
-0.53018-0.53184-0.53276
Oakland Athletics
Los Angeles Angels
61.1%
38.9%
-129
+120
-128
+125
-1½+120
+1½-135
-1½+120
+1½-130
6
2
-0.59162-0.58315-0.49315
Seattle Mariners
San Diego Padres
30.6%
69.4%
+182
-198
+179
-190
+1½-115
-1½+110
+1½-125
-1½+116
4
6
-0.42768-0.43635-0.36599
Tampa Bay Rays
Toronto Blue Jays
56.0%
44.0%
+105
-114
+108
-113
+1½-180
-1½+162
+1½-180
-1½+164
3
1
-0.73814-0.74360-0.57900
Boston Red Sox
Philadelphia Phillies
49.9%
50.1%
-128
+120
-124
+120
-1½+124
+1½-140
-1½+120
+1½-134
4
3
-0.59314-0.59946-0.69443
Chicago Cubs
St. Louis Cardinals
50.5%
49.5%
-116
+109
-118
+111
+1½-220
-1½+190

1
2
-0.75256-0.76179-0.70314
Los Angeles Dodgers
San Francisco Giants
67.5%
32.5%
-148
+139
-144
+142
-1½+112
+1½-130
-1½+110
+1½-125
6
3
-0.53128-0.53074-0.39369
Detroit Tigers
Kansas City Royals
43.3%
56.7%
+138
-148
+138
-145
+1½-150
-1½+140
+1½-148
-1½+140
5
7
-0.53302-0.53645-0.56657
Minnesota Twins
Cleveland Indians
43.3%
56.7%
+150
-163
+152
-162
+1½-145
-1½+130
+1½-140
-1½+130
3
5
-0.49799-0.49579-0.56826
New York Mets
Miami Marlins
54.7%
45.3%
+146
-156
+146
-150
+1½-153
-1½+135
+1½-150
-1½+135
1
3
-0.51108-0.51730-0.79228
Milwaukee Brewers
Cincinnati Reds
46.0%
54.0%
+143
-153
+145
-152
+1½-145
-1½+130
+1½-140
-1½+130
4
3
-0.90402-0.90736-0.77679
Pittsburgh Pirates
Atlanta Braves
28.5%
71.5%
+188
-205
+200
-200
+1½-107
-1½-109
+1½-103
-1½-105
1
6
-0.41647-0.40546-0.33490
Baltimore Orioles
Washington Nationals
36.9%
63.1%
+145
-155
+140
-147
+1½-140
-1½+125
+1½-140
-1½+125
9
12
-0.51371-0.53071-0.46020
Houston Astros
Texas Rangers
62.5%
37.5%
-163
+153
-170
+160
-1½-112
+1½-105
-1½-110
+1½+100
4
8
-0.94312-0.96964-0.98102
Arizona Diamondbacks
Colorado Rockies
56.1%
43.9%
-113
+105
-113
+105
-1½+135
+1½-155
-1½+135
+1½-145
6
7
-0.73601-0.73601-0.82296
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
+/-
Sportsbooks137-6 (0.538)0-0.67233 
Sportsbooks137-6 (0.538)0-0.67736 
DRatings138-5 (0.615)0-0.66746
0.00487
0.00990

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.