Betting Baseball Mission Statement 

Upon completion of reading this, you should be able to see why baseball is by far the best sport to invest your money. With the house edge being significantly smaller compared to other sports, and the ability to predict future outcomes, baseball can quite easily and most definitely become your most profitable sport to bet.

The Largest Sample Size Wins

What statistic do you think is more reliable – Aaron Rodgers’ completion percentage in 16 games, or Juan Soto’s batting average in 162 games? If you have taken any kind of statistics course, you know that larger sample sizes are much more predictive. With so many measurable skills and outcomes, with consistently improving analytics readily available to anyone, over a long 162 game season, it’s relatively easy to create a predictive model for baseball (relative to other sports). And it’s not hard to convince anyone of the logic that this is very true and the reason that Sportsbooks place betting limits on baseball but not on football. Out of all the major American sports, baseball is by far the leader in analytics, research, and advanced statistics. Now popularly known as sabermetrics, this phenomenon has allowed front offices and sports bettors alike to more accurately project a game’s outcome. It comes with more bang for your buck. The only risk the players may have occasionally is less action but more profits to the bankroll to make up that shortcoming. 

Point Spread vs Money Line Betting

Football and basketball regularly make up about two-thirds of all bets placed in the United States. In these sports, most bets are made on the point spread. Instead of simply betting who will win the game, most bettors bet HOW MUCH a team will win (or lose) by in football and basketball. Let’s look to understand the difference of laying points vs betting money lines. In football, if you lay -7 points and bet the favorite and the score is 20-17 with 1:45 to play, the favorite will simply play to use up the clock, maybe kick a field goal and win by by six points. You lose your bet even tho the favorite won the game 23-17. Has the following happened to you betting a top 25 team in hoops? In basketball, you bet the favorite to cover a -12 point spread. With 1:25 to play and up 70-55, the home team favorite calls time out and sends in the second team substitutes. Final score is 72-62. You lose your bet even tho the favorite won the game. Does that sound all too familiar? Two favorites lose and the bettor goes 0-2. 

Batter Up…Bet Baseball 

In baseball, it’s who wins the game. If the LA Dodgers are playing the Colorado Rockies and you bet the Dodgers, all the Dodgers have to do is win the game…period. A game where you don’t have to win by a set amount. Just win the game and get paid. Additionally, in baseball, no matter who I pick though, I know that either team will try to “win” the game. Players will try to score runs on offense, prevent runs on defense, and managers will use strategies to optimize the team’s chance of winning – thus enhancing the chances of my bet winning. This doesn’t happen when betting point “spreads” in football or basketball.

Why To Consider The House Edge

The house edge for baseball is typically half that of point spread odds. Because baseball betting doesn’t have the same draw and popularity of football and basketball, sportsbooks cut their odds prices a long time ago to attract more action. Instead of the traditional -110 odds for even match-ups, -105 is now the norm for baseball. This drops the house edge from 4.55% to 2.44% using the same calculations as above. However, the price advantage doesn’t stop there. For each dollar bet, there is always a ten-cent difference between the amount required to win $1 with a bet on the favorite and the payout a $1 bet on the underdog will win. This difference, or spread, is where the term “dime line” comes from and is the number one reason why one definitely needs to concentrate on baseball.

The Bottom Line

Assuming you have created a model that gives you a positive expected value, the longer season is an incredible benefit. Compare this to owning a roulette table which has a positive expected value of 5.26%. Would you rather own it for one hour, one day or one month? A lot of variance can happen in one hour and you might not make a profit despite the 5.26% edge. HOWEVER, this variance should smooth out, or regress to the mean over a longer period of time (such as 24 hours or 30 days). Compare this example to the difference between an NFL season and MLB season. There are 256 football games versus 2430 total baseball games. Even if you built an NFL model with a positive expected value, there’s a decent chance you will lose money with such a small sample. By stretching this advantage over 2430 games, you are much more likely to make a profit. So lastly, are you in this for action or in this to make a profit? The baseball is in your hand; throw some strikes and and then hit it 

out of the ballpark.