MLB Baseball Predictions

Updated

Upcoming Games for July 7, 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
Chicago Cubs (54-69)
Baltimore Orioles (38-81)
Matthew Boyd
Shane Baz
52.8%
47.2%
-109
-101
-105
+102
-1½+145
+1½-162
-1½+140
+1½-155
5.08
4.78
9.86
o9-120
u9½-120
o9½+100
u9½-120
Volatility Bet Value Active
Volatility Bet Value Active
Atlanta Braves (65-56)
Pittsburgh Pirates (42-79)
Hurston Waldrep
Paul Skenes
59.8%
40.2%
+129
-142
+143
-140
+1½-153
-1½+135
+1½-145
-1½+140
5.00
3.96
8.96
o8-110
u8-110
o8-105
u8-110
Volatility Bet Value Active
Oakland Athletics (68-53)
Detroit Tigers (58-64)
JT Ginn
Tarik Skubal
58.1%
41.9%
+186
-207
+180
-190
+1½-120
-1½+100
+1½-120
-1½+118
5.06
4.21
9.27
o8-110
u8-105
o8-110
u8-105
Volatility Bet Value Active
New York Yankees (69-52)
Tampa Bay Rays (74-47)
Will Warren
Ian Seymour
47.1%
52.9%
+105
-116
+107
-117
+1½-202
-1½+175

4.35
4.66
9.01
o8+100
u7½+100
o7½-115
u8-110
Seattle Mariners (65-56)
Miami Marlins (51-70)
Bryan Woo
Max Meyer
48.1%
51.9%
+108
-119
+110
-115
+1½-200
-1½+177

4.55
4.74
9.29
o8-104
u8-115
o8-105
u8-110
Houston Astros (70-50)
Washington Nationals (52-68)
Tatsuya Imai
Andrew Alvarez
56.3%
43.7%
+104
-115
+106
-112
+1½-190
-1½+165
+1½-190
-1½+170
4.87
4.22
9.09
o9-123
u9½-120
o9-115
u9+105
Volatility Bet Value Active
Philadelphia Phillies (61-59)
Cincinnati Reds (65-57)
Zack Wheeler
Andrew Abbott
46.8%
53.2%
-165
+149
-165
+152
-1½-105
+1½-110
-1½+100
+1½-115
4.53
4.86
9.39
o9-104
u9-115
o9+100
u8½+100
Volatility Bet Value Active
Kansas City Royals (52-67)
New York Mets (60-60)
Seth Lugo
UNDECIDED UNDECIDED
41.0%
59.0%
+129
-142
+131
-141
+1½-165
-1½+145
+1½-160
-1½+145
3.93
4.87
8.80
o8½-105
u8½-110
o8-110
u8½-115
Boston Red Sox (69-54)
Chicago White Sox (71-50)
Payton Tolle
Noah Schultz
45.7%
54.3%
-118
+107
-118
+111
-1½+135
+1½-155
-1½+135
+1½-155
4.90
5.35
10.25
o8½-110
u8½-110
o8½+100
u8½-115
Cleveland Indians (58-61)
Minnesota Twins (54-67)
Joey Cantillo
Taj Bradley
45.9%
54.1%
-101
-109
+102
-106
+1½-205
-1½+180
+1½-200
-1½+175
4.75
5.17
9.92
o8½-115
u8½-103
o8½-110
u8½-105
Milwaukee Brewers (74-47)
St. Louis Cardinals (61-58)
Robert Gasser
Hunter Dobbins
53.0%
47.0%
-116
+105
-116
+110
-1½+135
+1½-155
-1½+135
+1½-145
4.43
4.12
8.55
o8-117
u8-103
o8-120
u8+100
Los Angeles Angels (61-61)
Texas Rangers (42-78)
Jose Soriano
Jacob deGrom
46.0%
54.0%
+142
-157
+141
-151
+1½-160
-1½+140
+1½-155
-1½+140
4.35
4.76
9.11
o7-113
u7-105
o7-105
u7+100
Arizona Diamondbacks (40-81)
San Diego Padres (67-56)
Zac Gallen
German Marquez
38.5%
61.5%
+104
-115
+110
-115
+1½-195
-1½+170
+1½-187
-1½+170
3.19
4.40
7.59
o9-105
u8½+105
o9+100
u8½+105
Volatility Bet Value Active
Volatility Bet Value Active
Toronto Blue Jays (63-56)
San Francisco Giants (78-43)
Spencer Miles
Trevor McDonald
46.4%
53.6%
-115
+104
-110
+100
-1½+145
+1½-165
-1½+150
+1½-165
4.43
4.81
9.24
o8-105
u8-115
o7½-120
u8-115
Colorado Rockies (55-66)
Los Angeles Dodgers (75-46)
Michael Lorenzen
Justin Wrobleski
33.3%
66.7%
+236
-265
+240
-267
+1½+120
-1½-135
+1½+115
-1½-125
4.26
5.98
10.24
o9½-110
u9½-110
o9½-110
u9½-105
Games for Jul 6, 2026

Games In Progress

TimeTeamsOrig.
Win %
Closing
ML
Closing
Spread
Orig. Total
Runs
Closing
O/U
PeriodCurrent
Score
Milwaukee Brewers (74-47)
St. Louis Cardinals (61-58)
53.0%
47.0%
-214
+192
-190
+190
-1½-129
+1½+109
-1½-105
+1½+110
8.49
o7½-105
u7½-115
o7½-105
u7½-105
1st
BOT
0
0

Completed Games

TimeTeamsWinBest
ML
Best
Spread
Final
Runs
Sportsbook
Log Loss
DRatings
Log Loss
San Francisco Giants
Colorado Rockies
54.4%
45.6%
-156
+143
-147
+146
-1½-105
+1½-110
-1½+100
+1½-110
5
0
-0.51601-0.52059-0.60884
New York Mets
St. Louis Cardinals
49.1%
50.9%
+108
-118
+112
-120
+1½-195
-1½+170
+1½-190
-1½+170
7
5
-0.75417-0.76841-0.71080
Milwaukee Brewers
Kansas City Royals
56.6%
43.4%
+119
-129
+115
-122
+1½-170
-1½+155
+1½-175
-1½+165
6
5
-0.80365-0.78001-0.56994
Seattle Mariners
Minnesota Twins
46.1%
53.9%
+144
-157
+148
-153
+1½-150
-1½+130
+1½-150
-1½+136
10
6
-0.91250-0.91619-0.77345
San Diego Padres
Chicago Cubs
55.5%
44.5%
+150
-164
+160
-165
+1½-140
-1½+125
+1½-135
-1½+125
2
3
-0.49707-0.48102-0.81038
Boston Red Sox
Atlanta Braves
51.0%
49.0%
+164
-179
+170
-175
+1½-130
-1½+111
+1½-125
-1½+115
2
4
-0.46399-0.45869-0.71257
Houston Astros
New York Yankees
56.2%
43.8%
+109
-119
+113
-119
+1½-180
-1½+165
+1½-178
-1½+170
3
10
-0.63156-0.62273-0.82659
Los Angeles Angels
Pittsburgh Pirates
53.1%
46.9%
+124
-135
+122
-127
+1½-175
-1½+160
+1½-175
-1½+160
9
0
-0.82716-0.80737-0.63360
Chicago White Sox
Tampa Bay Rays
46.2%
53.8%
+232
-263
+233
-250
+1½+115
-1½-125
+1½+110
-1½-123
1
5
-0.34764-0.35095-0.62047
Baltimore Orioles
Washington Nationals
53.0%
47.0%
-208
+188
-210
+193
-1½-135
+1½+115
-1½-130
+1½+120
0
3
-1.08008-1.09354-0.75413
Toronto Blue Jays
Philadelphia Phillies
50.3%
49.7%
+101
-111
+107
-112
+1½-210
-1½+180
+1½-200
-1½+185
1
10
-0.66563-0.64942-0.69860
Arizona Diamondbacks
Cincinnati Reds
41.7%
58.3%
-130
+120
-126
+118
-1½+125
+1½-140
-1½+127
+1½-145
6
2
-0.59012-0.60037-0.87565
Detroit Tigers
Cleveland Indians
43.3%
56.7%
+126
-137
+130
-135
+1½-170
-1½+150
+1½-170
-1½+155
11
7
-0.83570-0.84211-0.83792
Texas Rangers
Oakland Athletics
35.8%
64.2%
-119
+109
-117
+110
-1½+138
+1½-158
-1½+140
+1½-148
15
8
-0.63156-0.63297-1.02678
Miami Marlins
Los Angeles Dodgers
33.4%
66.6%
+275
-317
+290
-325
+1½+140
-1½-154
+1½+145
-1½-155
3
6
-0.30069-0.28916-0.40614
Texas Rangers
Oakland Athletics
37.5%
62.5%
-135
+124
-134
+130
-1½+127
+1½-145
-1½+131
+1½-145
4
2
-0.57499-0.56488-0.98016
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
+/-
Sportsbooks74-3 (0.571)0-0.65035 
Sportsbooks74-3 (0.571)0-0.65142 
DRatings73-4 (0.429)0-0.74969
-0.09934
-0.09827

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.