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Lesser-Known Topics in Major League Baseball Betting
Introduction
This section serves as a supplementary material to my primary page regarding Betting Major League Baseball When I initially designed that page, it utilized data from the MLB seasons spanning 2000 to 2009. In September 2018, I made revisions that took into account the information from the 2016 and 2017 seasons. However, there were some intricate tables I hadn't updated. I had invested a significant amount of time on them, so I decided to transfer that information to this separate page instead of discarding it.
Source of Data
The foundation of this analysis stems from the games played in Major League Baseball from 2000 to 2009. I had to eliminate a few games due to issues with incomplete or corrupted data.
Run Line Bets
Regrettably, my analysis does not cover run line bets. Nevertheless, I have prepared tables that can help you identify the fair run line based on the fair money line (F.M.L.) and the total. I applied logistic regression to develop these tables, which was quite a challenging process.
The initial table focuses on away underdogs receiving +1.5 runs. To obtain the fair money line for a home favorite with -1.5 runs, simply take the opposing line by multiplying it by -1.
Fair Run Lines for Away Underdogs +1.5
F.M.L. | Total | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
7 | 7.5 | 8 | 8.5 | 9 | 9.5 | 10 | 10.5 | 11 | 11.5 | 12 | |
100 | -212 | -207 | -203 | -199 | -195 | -191 | -187 | -183 | -180 | -176 | -173 |
105 | -203 | -199 | -195 | -191 | -187 | -183 | -179 | -176 | -172 | -169 | -165 |
110 | -195 | -191 | -187 | -183 | -180 | -176 | -172 | -169 | -165 | -162 | -159 |
115 | -188 | -184 | -180 | -176 | -173 | -169 | -166 | -163 | -159 | -156 | -153 |
120 | -181 | -177 | -174 | -170 | -167 | -163 | -160 | -157 | -154 | -150 | -147 |
125 | -175 | -171 | -168 | -164 | -161 | -158 | -154 | -151 | -148 | -145 | -142 |
130 | -169 | -165 | -162 | -159 | -156 | -152 | -149 | -146 | -143 | -140 | -138 |
135 | -164 | -160 | -157 | -154 | -151 | -148 | -145 | -142 | -139 | -136 | -133 |
140 | -159 | -155 | -152 | -149 | -146 | -143 | -140 | -137 | -135 | -132 | -129 |
145 | -154 | -151 | -148 | -145 | -142 | -139 | -136 | -133 | -131 | -128 | -125 |
150 | -150 | -147 | -144 | -141 | -138 | -135 | -132 | -130 | -127 | -124 | -122 |
155 | -146 | -143 | -140 | -137 | -134 | -131 | -129 | -126 | -124 | -121 | -119 |
160 | -142 | -139 | -136 | -133 | -131 | -128 | -125 | -123 | -120 | -118 | -116 |
165 | -138 | -136 | -133 | -130 | -127 | -125 | -122 | -120 | -117 | -115 | -113 |
170 | -135 | -132 | -130 | -127 | -124 | -122 | -119 | -117 | -115 | -112 | -110 |
175 | -132 | -129 | -127 | -124 | -122 | -119 | -117 | -114 | -112 | -110 | -108 |
180 | -129 | -126 | -124 | -121 | -119 | -116 | -114 | -112 | -109 | -107 | -105 |
185 | -126 | -124 | -121 | -119 | -116 | -114 | -112 | -109 | -107 | -105 | -103 |
190 | -124 | -121 | -119 | -116 | -114 | -112 | -109 | -107 | -105 | -103 | -101 |
195 | -121 | -119 | -116 | -114 | -112 | -109 | -107 | -105 | -103 | -101 | 101 |
200 | -119 | -116 | -114 | -112 | -109 | -107 | -105 | -103 | -101 | 101 | 103 |
210 | -114 | -112 | -110 | -108 | -105 | -103 | -101 | 101 | 103 | 105 | 107 |
220 | -110 | -108 | -106 | -104 | -102 | 100 | 102 | 104 | 107 | 109 | 111 |
230 | -107 | -105 | -103 | -101 | 102 | 104 | 106 | 108 | 110 | 112 | 115 |
240 | -104 | -102 | 101 | 103 | 105 | 107 | 109 | 111 | 114 | 116 | 118 |
250 | -101 | 101 | 103 | 106 | 108 | 110 | 112 | 115 | 117 | 119 | 122 |
260 | 102 | 104 | 106 | 109 | 111 | 113 | 115 | 118 | 120 | 123 | 125 |
270 | 105 | 107 | 109 | 111 | 114 | 116 | 118 | 121 | 123 | 126 | 129 |
280 | 107 | 110 | 112 | 114 | 117 | 119 | 121 | 124 | 127 | 129 | 132 |
290 | 110 | 112 | 115 | 117 | 119 | 122 | 124 | 127 | 130 | 132 | 135 |
300 | 112 | 115 | 117 | 120 | 122 | 125 | 127 | 130 | 132 | 135 | 138 |
310 | 115 | 117 | 120 | 122 | 125 | 127 | 130 | 133 | 135 | 138 | 141 |
320 | 117 | 120 | 122 | 125 | 127 | 130 | 132 | 135 | 138 | 141 | 144 |
330 | 119 | 122 | 124 | 127 | 130 | 132 | 135 | 138 | 141 | 144 | 147 |
340 | 122 | 124 | 127 | 129 | 132 | 135 | 138 | 140 | 143 | 146 | 149 |
350 | 124 | 126 | 129 | 132 | 134 | 137 | 140 | 143 | 146 | 149 | 152 |
360 | 126 | 128 | 131 | 134 | 137 | 139 | 142 | 145 | 148 | 151 | 154 |
370 | 128 | 131 | 133 | 136 | 139 | 142 | 145 | 148 | 151 | 154 | 157 |
380 | 130 | 133 | 135 | 138 | 141 | 144 | 147 | 150 | 153 | 156 | 159 |
390 | 132 | 135 | 137 | 140 | 143 | 146 | 149 | 152 | 155 | 159 | 162 |
400 | 134 | 136 | 139 | 142 | 145 | 148 | 151 | 154 | 158 | 161 | 164 |
Let's go through an example to understand how to utilize the table properly. On April 6, 2010, the Las Vegas Hilton provided betting options for the Yankees against the Red Sox. As is customary, the home team is noted last in the matchup.
Yankees vs. Red Sox
Team | Money Line | Total | Run Line |
---|---|---|---|
Yankees | 125 | 9.5 | -170 |
Red Sox | -135 | 150 |
The fair money line for the Yankees would be +130, which is determined by evenly distributing the juice between the two clubs. Then, you would need to look up the corresponding value for +130 and 9.5 in the table, which shows -152. Consequently, the fair run line wagers would be:
Yankees +1.5 -152
Red Sox -1.5 +152
The actual run lines recorded were -170 and +150. Based on my analysis, the house edge for the Yankees' run line would be 4.20%, while for the Red Sox it would be 0.79%.
By the way, the final score of the game was Yankees 6, Red Sox 4 .
The next table reflects the fair run lines for home underdogs. The notable disparity with the away underdog table arises because gaining an extra 1.5 runs is significantly more advantageous for an away team. This is because the game concludes after any decisive play from the home team in the 9th inning or later, leading to numerous instances where the home team wins by just one run.
Fair Run Lines for Home Underdogs +1.5
F.M.L. | Total | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
7 | 7.5 | 8 | 8.5 | 9 | 9.5 | 10 | 10.5 | 11 | 11.5 | 12 | |
100 | -171 | -169 | -168 | -166 | -165 | -163 | -162 | -160 | -159 | -157 | -156 |
105 | -164 | -162 | -161 | -159 | -158 | -156 | -155 | -153 | -152 | -150 | -149 |
110 | -157 | -156 | -154 | -153 | -151 | -150 | -148 | -147 | -146 | -144 | -143 |
115 | -151 | -150 | -148 | -147 | -145 | -144 | -143 | -141 | -140 | -139 | -137 |
120 | -145 | -144 | -143 | -141 | -140 | -139 | -137 | -136 | -135 | -134 | -132 |
125 | -140 | -139 | -138 | -136 | -135 | -134 | -133 | -131 | -130 | -129 | -128 |
130 | -136 | -134 | -133 | -132 | -130 | -129 | -128 | -127 | -126 | -124 | -123 |
135 | -131 | -130 | -129 | -127 | -126 | -125 | -124 | -123 | -122 | -120 | -119 |
140 | -127 | -126 | -125 | -123 | -122 | -121 | -120 | -119 | -118 | -117 | -116 |
145 | -123 | -122 | -121 | -120 | -119 | -118 | -116 | -115 | -114 | -113 | -112 |
150 | -120 | -119 | -117 | -116 | -115 | -114 | -113 | -112 | -111 | -110 | -109 |
155 | -116 | -115 | -114 | -113 | -112 | -111 | -110 | -109 | -108 | -107 | -106 |
160 | -113 | -112 | -111 | -110 | -109 | -108 | -107 | -106 | -105 | -104 | -103 |
165 | -110 | -109 | -108 | -107 | -106 | -105 | -104 | -103 | -102 | -101 | -100 |
170 | -108 | -107 | -106 | -105 | -104 | -103 | -102 | -101 | 100 | 101 | 102 |
175 | -105 | -104 | -103 | -102 | -101 | -100 | 101 | 102 | 103 | 104 | 105 |
180 | -103 | -102 | -101 | 100 | 101 | 102 | 103 | 104 | 105 | 106 | 107 |
185 | -100 | 100 | 101 | 102 | 103 | 104 | 105 | 106 | 107 | 108 | 109 |
190 | 102 | 103 | 104 | 105 | 106 | 107 | 108 | 109 | 110 | 111 | 112 |
195 | 104 | 105 | 106 | 107 | 108 | 109 | 110 | 111 | 112 | 113 | 114 |
200 | 106 | 107 | 108 | 109 | 110 | 111 | 112 | 113 | 114 | 115 | 117 |
210 | 110 | 111 | 112 | 113 | 114 | 115 | 117 | 118 | 119 | 120 | 121 |
220 | 114 | 115 | 116 | 117 | 119 | 120 | 121 | 122 | 123 | 124 | 126 |
230 | 118 | 119 | 120 | 121 | 123 | 124 | 125 | 126 | 127 | 129 | 130 |
240 | 122 | 123 | 124 | 125 | 127 | 128 | 129 | 130 | 132 | 133 | 134 |
250 | 126 | 127 | 128 | 129 | 130 | 132 | 133 | 134 | 136 | 137 | 138 |
260 | 129 | 130 | 132 | 133 | 134 | 136 | 137 | 138 | 139 | 141 | 142 |
270 | 133 | 134 | 135 | 137 | 138 | 139 | 141 | 142 | 143 | 145 | 146 |
280 | 136 | 137 | 139 | 140 | 141 | 143 | 144 | 145 | 147 | 148 | 150 |
290 | 139 | 141 | 142 | 143 | 145 | 146 | 148 | 149 | 150 | 152 | 153 |
300 | 143 | 144 | 145 | 147 | 148 | 150 | 151 | 152 | 154 | 155 | 157 |
310 | 146 | 147 | 149 | 150 | 151 | 153 | 154 | 156 | 157 | 159 | 160 |
320 | 149 | 150 | 152 | 153 | 155 | 156 | 158 | 159 | 161 | 162 | 164 |
330 | 152 | 153 | 155 | 156 | 158 | 159 | 161 | 162 | 164 | 165 | 167 |
340 | 155 | 156 | 158 | 159 | 161 | 162 | 164 | 165 | 167 | 169 | 170 |
350 | 158 | 159 | 161 | 162 | 164 | 165 | 167 | 168 | 170 | 172 | 173 |
360 | 160 | 162 | 163 | 165 | 167 | 168 | 170 | 171 | 173 | 175 | 176 |
370 | 163 | 165 | 166 | 168 | 169 | 171 | 173 | 174 | 176 | 178 | 179 |
380 | 166 | 167 | 169 | 170 | 172 | 174 | 175 | 177 | 179 | 180 | 182 |
390 | 168 | 170 | 171 | 173 | 175 | 176 | 178 | 180 | 181 | 183 | 185 |
400 | 171 | 172 | 174 | 175 | 177 | 179 | 181 | 182 | 184 | 186 | 188 |
Alternate Totals
It's common to encounter different totals when you plan to place an over or under bet in baseball, such as 7.5 and 8. Naturally, a higher cost is associated with securing the half-point in your favor. The cost varies depending on whether you are buying or selling an odd or even number, as odd totals tend to be more frequent in baseball. During the zeros decade (a term waiting to be coined), 59.2% of Major League Baseball games wrapped up with an odd total. I trust the reasons for this are clear. The subsequent tables outline the fair price to pay for purchasing an additional half-point on either an over or under wager.
To utilize the table effectively, check the lower line if you're betting on the under and the higher line if you're wagering on the over. The usage of the second or third column will depend on whether you're examining an over or under bet and whether the base line is odd, even, odd +0.5, or even +0.5. Specifically, for under bets, refer to the second column for an odd or even +0.5 base number; otherwise, consult the third column. In contrast, for over bets, use the second column for an odd or odd +0.5 base number; otherwise, refer to the third column.
Alternative Totals for Purchasing a Half Point
Market Line | Off the Under | |
---|---|---|
Odd, Even +0.5 | Even, Odd +0.5 | |
Off the Over | ||
Odd or Odd +0.5 | Even or Even +0.5 | |
-140 | -177 | -165 |
-135 | -170 | -159 |
-130 | -164 | -153 |
-125 | -157 | -147 |
-120 | -151 | -141 |
-115 | -144 | -135 |
-110 | -138 | -129 |
-105 | -131 | -123 |
100 | -125 | -117 |
105 | -119 | -111 |
110 | -114 | -106 |
115 | -109 | -102 |
120 | -104 | 103 |
125 | -100 | 107 |
130 | 104 | 111 |
135 | 108 | 115 |
140 | 112 | 119 |
Let’s consider an example of applying the table. For instance, during the Astros vs. Marlins game today (August 20, 2010), the Hilton has an under option at 7.5 for -105 while the MGM offers under 8 at -135. Which bet is more advantageous? The figure 7.5 is categorized as an 'odd +0.5' number. The row for -105 and the column for 'even, odd +0.5' converge at -123. This implies that there is no significant preference between betting under 7.5 at -105 and under 8 at -123. As the actual MGM price stands at -135, the better bet in this case would be under 7.5 at -105 offered by the Hilton.
The next table illustrates the fair price to consider if you wish to purchase a half-point on an over wager. For example, in the context of the same Astros vs. Marlins game, you have the option to bet over 7.5 at -115 at the Hilton and over 8 at +115 at the MGM. Which option is superior? We should base our evaluation on the line of 8, as the alternative of 7.5 is half a point more favorable. By examining the +115 row along with the 'even or even +0.5' column, we find that the fair equivalent is -102. The Hilton's price for over 7.5 being -115 is less favorable than the -102, thus making over 8 at +115 from the MGM the preferable bet.
Let’s explore a few additional examples for clarity. Here are betting lines from the Braves vs. Cubs game.
Hilton: Over 10 -115, Under 10 -105
MGM: Over 10.5 EV, Under 10.5 -120
If we assume under 10 at -105 to be reasonable, then the equivalent line would be under 10.5 at -123. Thus, the under 10.5 at -120 at the MGM would be the better option. Conversely, if we consider over 10.5 to be fair, the correlated line would be over 10 at -117, making the over 10 at -115 from the Hilton the better choice.
Next, let's take a look at the lines from the Blue Jays vs. Red Sox game.
Stations: Over 8.5 -105, Under 8.5 -115
Hilton: Over 8 -125, Under 8 +105
Assuming under 8 at +105 to be fair would mean the equivalent price is under 8.5 at -111. Since under 8.5 at -115 found at Stations is less attractive, under 8 at +105 is the more favorable bet. Similarly, if we decide that over 8.5 at -105 is fair, then the equivalent line would be over 8 at -123, leading us to conclude that the over 8 at -125 from the Hilton is not as favorable, with the over 8 at -105 being the better choice.
Total Runs, Hits, and Errors
During the post-season, betting establishments may provide a combined over/under prop on the total runs, hits, and errors combined. I have observed a relatively linear correlation between project totals and the actual results of runs, hits, and errors. The least-squares regression line representing the estimated total runs, hits, and errors can be expressed as 12.45 + 1.817 × t, with t symbolizing the projected total.
The table that follows presents the estimates for total runs, hits, and errors in accordance with the forecasted total runs.
Uncommon Subjects Related to Wagering on Major League Baseball
Total | Sample Size | Estimated | Actual |
---|---|---|---|
6 | 1 | 23.35 | 14.00 |
6.5 | 71 | 24.26 | 24.46 |
7 | 610 | 25.17 | 24.81 |
7.5 | 1635 | 26.08 | 26.36 |
8 | 2393 | 26.98 | 26.74 |
8.5 | 4122 | 27.89 | 27.80 |
9 | 5337 | 28.80 | 28.88 |
9.5 | 4472 | 29.71 | 29.92 |
10 | 2395 | 30.62 | 30.53 |
10.5 | 1736 | 31.53 | 31.42 |
11 | 747 | 32.43 | 32.22 |
11.5 | 285 | 33.34 | 33.75 |
12 | 131 | 34.25 | 33.80 |
12.5 | 102 | 35.16 | 33.61 |
13 | 77 | 36.07 | 35.97 |
13.5 | 55 | 36.98 | 36.73 |
14 | 47 | 37.89 | 35.96 |
14.5 | 35 | 38.79 | 40.29 |
15 | 15 | 39.70 | 45.33 |
Run Scored in First Inning
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Run Scored in First Inning Data
Total | RSFI | Total Games | Ratio |
---|---|---|---|
5 | 0 | 1 | 0.00% |
5.5 | 13 | 17 | 76.47% |
6 | 30 | 68 | 44.12% |
6.5 | 134 | 335 | 40.00% |
7 | 537 | 1127 | 47.65% |
7.5 | 1093 | 2313 | 47.25% |
8 | 1544 | 3109 | 49.66% |
8.5 | 2603 | 5039 | 51.66% |
9 | 3054 | 5859 | 52.12% |
9.5 | 2415 | 4403 | 54.85% |
10 | 1199 | 2163 | 55.43% |
10.5 | 811 | 1358 | 59.72% |
11 | 313 | 516 | 60.66% |
11.5 | 128 | 206 | 62.14% |
12 | 72 | 112 | 64.29% |
12.5 | 64 | 103 | 62.14% |
13 | 47 | 68 | 69.12% |
13.5 | 26 | 41 | 63.41% |
14 | 10 | 16 | 62.50% |
14.5 | 8 | 12 | 66.67% |
15 | 1 | 1 | 100.00% |
Total | 14102 | 26867 | 52.49% |
Calculator for Lottery Jackpot Ticket Sales

This section serves as a supplementary resource to my primary webpage on
When I initially developed that webpage, it utilized information from the seasons spanning from 2000 to 2009. In September 2018, I refreshed it to incorporate stats from the 2016 and 2017 seasons. Yet, there were some obscure statistics that I didn't get around to updating. Since I had invested significant time into them, I decided to store the content on this separate page instead of discarding it.
p = 0.2554 + 0.0304×t + 0.000724×f , where
p = Probability of first-inning run
t = Projected game total
f = Favoritism points on the over
The insights in this analysis derive from Major League Baseball games conducted between 2000 and 2009. Some games had to be excluded from my study due to incomplete or corrupted data.
Favoritism Points on the Over
Money Line on Over |
Favoritism Points |
---|---|
130 | -40 |
125 | -35 |
120 | -30 |
115 | -25 |
110 | -20 |
105 | -15 |
100 | -10 |
-105 | -5 |
-110 | 0 |
-115 | 5 |
-120 | 10 |
-125 | 15 |
-130 | 20 |
-135 | 25 |
-140 | 30 |
-145 | 35 |
-150 | 40 |
Sadly, my data doesn't provide insights into run line bets. However, I’ve created tables that can assist in calculating the fair run line based on the fair money line (F.M.L.) and total. Compiling these tables required the application of logistic regression, which was quite challenging.
The initial table pertains to away underdogs with a spread of +1.5 runs. To find the fair money line for a home favorite with a spread of -1.5 runs, simply take the opposite line by multiplying by -1.
Let’s consider an example to illustrate how to utilize the table. On April 6, 2010, the Las Vegas Hilton provided betting options for the match between the Yankees and the Red Sox, with the home team being listed last.
The equitable line for the Yankees stands at +130, calculated by splitting the juice evenly between the two teams. Next, check the table for the +130 and 9.5 values, resulting in -152. Consequently, the fair run line bets would be:
In reality, the run lines were -170 and +150. If my analysis holds true, the house edge for the Yankees run line would be 4.20%, while for the Red Sox, it would be 0.79%.
By the way, the final score of the match was
The subsequent table outlines the fair run lines for home underdogs. The significant variation compared to the prior table for away underdogs stems from the extra 1.5 runs being of greater utility for an away side. This is because the home team's winning play in the 9th inning or later can conclude the game, resulting in many instances where the home team prevails by a single run.
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