MLB Baseball Predictions

Updated

Upcoming Games for March 31, 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
Texas Rangers (42-78)
Baltimore Orioles (38-81)
Undecided Undecided
Zach Eflin
48.5%
51.5%
-125
+105
-120
+108
-1½+135
+1½-160
-1½+140
+1½-160
6.30
6.46
12.76
o8-110
u8-110
o8-115
u8-105
Overall Bet Value Active
Pittsburgh Pirates (42-79)
Cincinnati Reds (65-57)
Bubba Chandler
Brandon Williamson
36.4%
63.6%
-109
-101
-113
+105
-1½+145
+1½-160
-1½+140
+1½-155
3.83
5.26
9.09
o9-110
u8½+107
o8½-115
u8½+105
Volatility Bet Value Active
Washington Nationals (52-68)
Philadelphia Phillies (61-59)
PJ Poulin
Andrew Painter
43.0%
57.0%
+162
-180
+159
-178
+1½-130
-1½+115
+1½-130
-1½+115
4.40
5.13
9.53
o9-105
u9-111
o9-105
u9+100
Chicago White Sox (71-50)
Miami Marlins (51-70)
Erick Fedde
Janson Junk
55.2%
44.8%
+131
-145
+130
-135
+1½-165
-1½+145
+1½-160
-1½+145
4.90
4.35
9.25
o8½-115
u8½+100
o8½-115
u8½-105
Colorado Rockies (55-66)
Toronto Blue Jays (63-56)
Ryan Feltner
Max Scherzer
38.4%
61.6%
+227
-255
+230
-258
+1½+105
-1½-120
+1½+115
-1½-125
4.63
5.84
10.47
o8½+101
u8+100
o8½-110
u8½-105
Oakland Athletics (68-53)
Atlanta Braves (65-56)
Aaron Civale
Jose Suarez
53.9%
46.1%
+130
-143
+127
-141
+1½-160
-1½+140
+1½-160
-1½+140
4.90
4.50
9.40
o9-117
u9½-120
o9-110
u9-110
Volatility Bet Value Active
Los Angeles Angels (61-61)
Chicago Cubs (54-69)
Jose Soriano
Jameson Taillon
50.2%
49.8%
+129
-142
+135
-145
+1½-165
-1½+145
+1½-165
-1½+145
4.58
4.56
9.14
o7-110
u7-110
o7-115
u7-105
Tampa Bay Rays (74-47)
Milwaukee Brewers (74-47)
Shane McClanahan
Brandon Woodruff
47.5%
52.5%
+123
-136
+125
-134
+1½-180
-1½+160
+1½-180
-1½+165
4.08
4.33
8.41
o7½+100
u7½-115
o7½-110
u7½-110
New York Mets (60-60)
St. Louis Cardinals (61-58)
Kodai Senga
Andre Pallante
49.1%
50.9%
-158
+143
-157
+150
-1½+105
+1½-115
-1½+105
+1½-115
4.50
4.59
9.09
o8-115
u8½-116
o8½-105
u8½-110
Boston Red Sox (69-54)
Houston Astros (70-50)
Brayan Bello
Hunter Brown
43.7%
56.3%
+125
-138
+135
-143
+1½-175
-1½+153
+1½-165
-1½+150
4.40
5.05
9.45
o7½-110
u7½-110
o7½-115
u7½-105
San Francisco Giants (78-43)
San Diego Padres (67-56)
Logan Webb
German Marquez
45.4%
54.6%
-132
+120
-130
+125
-1½+125
+1½-145
-1½+125
+1½-145
3.85
4.34
8.19
o7½-110
u7½-105
o7½-115
u7½+100
New York Yankees (69-52)
Seattle Mariners (65-56)
Max Fried
Logan Gilbert
54.8%
45.2%
-110
+100
-113
+105
-1½+160
+1½-180
-1½+160
+1½-170
5.25
4.75
10.00
o7-115
u7-105
o7-115
u7-105
Detroit Tigers (58-64)
Arizona Diamondbacks (40-81)
Casey Mize
Brandon Pfaadt
47.4%
52.6%
-105
-105
-108
+101

-1½+150
+1½-160
4.17
4.44
8.61
o9-120
u9½-120
o9½+100
u9½-115
Volatility Bet Value Active
Cleveland Indians (58-61)
Los Angeles Dodgers (75-46)
Tanner Bibee
Shohei Ohtani
34.1%
65.9%
+201
-224
+215
-233
+1½-115
-1½-105
+1½-105
-1½-110
3.63
5.28
8.91
o8-105
u8-115
o8-105
u8-110
Games for Mar 30, 2026
Games for Apr 1, 2026

Games In Progress

TimeTeamsOrig.
Win %
Closing
ML
Closing
Spread
Orig. Total
Runs
Closing
O/U
PeriodCurrent
Score
New York Yankees (69-52)
Seattle Mariners (65-56)
53.2%
46.8%
-115
+104
-110
+113
-1½+150
+1½-167

9.16
o7½-106
u7½-110
o7½-110
u7½+100
8th
BOT
1
1
Detroit Tigers (58-64)
Arizona Diamondbacks (40-81)
49.0%
51.0%
+109
-120
+110
-118
+1½-180
-1½+165
+1½-175
-1½+162
8.42
o9-115
u9+100
o9-115
u9-105
6th
BOT
0
8
Cleveland Indians (58-61)
Los Angeles Dodgers (75-46)
34.1%
65.9%
+160
-177
+167
-175
+1½-132
-1½+120
+1½-125
-1½+127
8.85
o8½-112
u8½+100
o9+105
u8½+100
7th
BOT
4
0

Completed Games

TimeTeamsWinBest
ML
Best
Spread
Final
Runs
Sportsbook
Log Loss
DRatings
Log Loss
Houston Astros
Seattle Mariners
56.0%
44.0%
+144
-159
+145
-158
+1½-161
-1½+141
+1½-160
-1½+140
3
4
-0.51139-0.51073-0.82080
Texas Rangers
Chicago Cubs
42.6%
57.4%
+109
-120
+112
-120
+1½-215
-1½+185
+1½-215
-1½+190
0
7
-0.62978-0.62315-0.55492
Minnesota Twins
Kansas City Royals
50.2%
49.8%
+100
-110
+105
-107
+1½-200
-1½+175
+1½-200
-1½+200
2
4
-0.67015-0.66458-0.69701
Miami Marlins
New York Mets
42.4%
57.6%
+234
-263
+238
-270
+1½+108
-1½-125
+1½+110
-1½-125
0
2
-0.34589-0.34035-0.55146
Toronto Blue Jays
Boston Red Sox
47.8%
52.2%
+112
-123
+115
-125
+1½-180
-1½+160
+1½-175
-1½+160
6
2
-0.77442-0.78592-0.73777
Los Angeles Dodgers
Washington Nationals
60.0%
40.0%
-173
+156
-172
+160
-1½-120
+1½+100
-1½-115
+1½+100
4
6
-0.96404-0.97233-0.91674
St. Louis Cardinals
Pittsburgh Pirates
54.9%
45.1%
-111
+101
-104
+101
-1½+150
+1½-170
-1½+165
+1½-165
4
8
-0.72144-0.70542-0.79533
New York Yankees
Detroit Tigers
60.1%
39.9%
-145
+131
-144
+142
-1½+106
+1½-120
-1½+110
+1½-120
2
6
-0.86168-0.88714-0.91917
St. Louis Cardinals
Boston Red Sox
41.7%
58.3%
+113
-115
+115
-120
+1½-173
-1½+170
+1½-180
-1½+165
7
18
-0.63006-0.61667-0.53969
Cleveland Indians
Los Angeles Angels
44.3%
55.7%
-102
-108
-102
-105
-1½+147
+1½-167
-1½+150
+1½-160
2
6
-0.67930-0.68605-0.58576
Seattle Mariners
San Francisco Giants
39.2%
60.8%
+101
-111
+104
-113
+1½-211
-1½+181
+1½-210
-1½+190
4
5
-0.66563-0.65441-0.49737
Oakland Athletics
Colorado Rockies
53.9%
46.1%
+108
-119
+111
-120
+1½-185
-1½+165
+1½-180
-1½+160
5
12
-0.63380-0.62534-0.77518
Tampa Bay Rays
Texas Rangers
59.9%
40.1%
-102
-108
-107
+100

-1½+155
+1½-170
3
4
-0.67930-0.70991-0.91320
San Diego Padres
Chicago Cubs
55.5%
44.5%
+126
-139
+131
-135
+1½-180
-1½+160
+1½-169
-1½+160
8
7
-0.83914-0.84460-0.58823
Houston Astros
Minnesota Twins
56.2%
43.8%
-102
-108
+104
-111
+1½-205
-1½+175
+1½-190
-1½+180
9
7
-0.70719-0.72909-0.57625
Baltimore Orioles
Kansas City Royals
42.4%
57.6%
-101
-109
+103
-107


1
4
-0.67472-0.66935-0.55239
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
+/-
Sportsbooks125-7 (0.417)0-0.74842 
Sportsbooks125-7 (0.417)0-0.74402 
DRatings124-8 (0.333)0-0.69617
0.05225
0.04784

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.