Capping MLB
Our first article in this series covered the three most common bets that a punter can make: the spread, the money line, and totals (over/under). With our newly acquired understanding of these general betting principles we are now on the road to becoming proficient sports handicappers, and will move forward with a more specific, in depth study; focusing on baseball as a launching point.
One of the first and most vital concepts for a new handicapper to grasp is that when betting on sports, and especially with baseball, it is important to remember that the primary goal is to book long-term profits, and thus to not be overly concerned with the outcome of any one contest. Over the course of an MLB season, every sports bettor is going to have winning streaks and losing streaks — periods where things seemingly can’t go wrong and dry spells where you can’t catch a break. It’s all part of the territory. However, knowing this up front, we can set goals based on the long term return, and hopefully not be discouraged by short term losses. As the old adage goes, “It’s a marathon, not a sprint.”
To start the MLB season out on the right foot, the winning handicapper will capitalize early on one of the most rudimentary yet fundamental steps in successfully capping MLB: turnaround teams. The first assignment for the season is to sit back and take a good long look at last year’s teams, assess which teams appear to have improved over their previous season and which teams appear worse-off. Making this simple analysis can lead to finding great value in early season wagers and can ultimately translate into significant winnings right out of the gates; potentially padding the all important bank roll in preparation for the long and grueling MLB betting season. This winner’s perspective is best gained by analyzing statistics. How to do so, and how to make those statistics book a profit, is the focus of this article.
Major League Baseball produces a growing number of superfluous statistics every single year. The relevancy of all statistics should be evaluated by asking yourself three simple, yet important questions:
1. Is the topic covered by the statistic something vital enough to win a baseball game?
2. Does the statistic accurately measure actual ability that is significant enough to dictate the outcome of a game?
3. Is the statistic easy to understand?
If the information that you are analyzing doesn’t meet the aforementioned criteria, throw it out. There is no need for you to spend your time trying to determine how the Relief Efficiency Rate of the Padres is going to affect the scoring ability of the Giants, coupled against the Stolen Base Average of the Padres. Many stats are nothing more than fodder for the loquacious fans, announcers, and historians and are of little use in determining the outcome of a specific game. Don’t stress about not knowing how to implement these stats into your sports betting system; seriously, just forget about them.
There is an old adage that baseball is 90% pitching. The most important component which must be analyzed thoroughly to give the best possibility of predicting the outcome of a baseball game is the pitcher match-ups.
While compiling analytical comparisons of two pitchers, it is also important to not necessarily take statistics at face value. There are two sides to every story, and baseball statistics are no exception. Say, for example, the Yankees were to play the Mets and Derek Jeter bat .500 for the night. On a superficial level, just viewing the statistic at face value, it looks like Jeter’s got a hot bat and you might want to lay it on the Yanks for tomorrow’s game. But if we look at the reality of that night, we may see that Jeter went 1-2 with two walks. In his two at bats, he struck out when the bases were loaded and then on his next at bat he singled with 2 outs and no one on. That’s still a .500 average, but it did not help his team, and more importantly, he actually crumbled when it came time to perform. Determining a player’s ability to perform under pressure and in tight spots, especially pitchers, is a key point of importance when analyzing statistics.
For the purpose of this article, we are going to focus on two pretty basic stats: E.R.A. and WHIP, but we are going to learn to skeptically analyze them for real value.
The first and most obvious statistic to look at is a pitcher’s E.R.A., and doing so is generally thought to be the most valuable tool to determine a pitcher’s success. The E.R.A. tells you how many earned runs a pitcher has given up per nine innings pitched. So if a pitcher gives up one run and pitches nine innings his E.R.A. would be 1.00. If he pitches six innings and gives up two runs his E.R.A would be 3.00. Unearned runs do not affect a pitcher’s E.R.A. and once the official scorer deems that three outs should have been made, the pitcher’s E.R.A. cannot go up any more for the inning. But that is one of the holes in the statistic. Say, for example, pitcher A strikes out the side, while pitcher B gives up three hits and is the beneficiary of a lucky double play. Both pitchers’ E.R.A. for that inning is 0.00 but they achieved that in completely different ways. One pitcher dominated the other team while the other was on the receiving end of some good fortune. This results in the need for another statistic to be used in conjunction with the E.R.A., the WHIP.
WHIP stands for walks and hits per innings pitched. It is used to determine the effectiveness the pitcher has against each individual hitter. After each hitter faced, the pitcher’s WHIP will either go up or down. Taking the same preceding situation, pitcher A would have a WHIP of 0.00 and pitcher B who gave up three hits and no runs will have a WHIP of 3.00. Yet both pitchers’ E.R.A. for the inning is 0.00. Another thing that the WHIP tells you that the E.R.A does not is what happens to a pitcher after an error was made. If there are two outs in an inning and an error is made and the official scorer determines that it should have been an out, the E.R.A. is frozen and can only go down once the final out is made. In theory, the next five batters could all step up and hit home runs and the E.R.A. would remain the same. However, the WHIP will not. If the next five men reach base after the error, the WHIP for that inning will be 5.00 and the E.R.A. will stay at 0.00. Yes, the pitcher should have been out of the inning unharmed but giving up that many more hits demonstrates ineffectiveness and inability to bounce back under pressure.
These two statistics go hand in hand with each other. They are both very useful and when considered together can provide great insight into a pitcher’s overall performance ability. They also both satisfy our conditions for determining whether or not a statistic is important: they cover a topic that is vital enough to win a baseball game, accurately measure actual ability that is significant enough to dictate the outcome of a game, and are fairly easy to understand. Any and all data used in our handicapping endeavors must be looked at with this same discerning eye.
Analyzing statistics effectively is what provides a handicapper with his ability to determine recurring trends, which, if implemented properly can equate to healthy profits.