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What is more important is knowing which is the better bet, the over or under. In the 19,008 games in the sample, the over won 46.71% of the time, the under 48.33%, and the actual total fell on the line 4.96%. Flat betting every game, laying 110, which is standard, you would have lost 5.87% on overs, and 2.77% on unders. Laying 105, you would have lost 2.82% on overs, and 0.68% on unders. It does not surprise me that the unders did better. In any sport, square bettors tend to favor betting the over, creating value the other way. I should give the caveat that I assumed the bettor laid the same price on every game. In reality, one way or the other is usually favored, resulting in unbalanced lines on the total, for example under +110 and over -130. My data did not show the specific lines on each side of the total. However, I assume that over 19,000 games the imbalances would average out.
Money LinesOver the 2003-2008 period studied, home teams won 54.5% of the time. They also scored 0.16 more runs, despite often not finishing the last inning. If you had bet every road team over the five-year period, betting one unit when getting odds, and betting to win one unit when laying odds, you would have lost 3.09% of money bet. Betting the home teams, you would have done much better, losing only 0.96%. Not surprisingly, underdogs did better than favorites. It is no secret that the square public likes betting favorites in any sport, creating value the other way. Overall, the house edge on favorites (laying 106 or more) was 2.48%. On "pick" games (laying 105) the house edge was 2.38%. On underdogs (laying 104 or less, or getting odds), the house edge was a low 1.04%. That begs the question; if home teams and underdogs are only slightly bad bets, what if you combined them, and looked at just home underdogs. The following table shows all six ways of crossing the road vs. home team and underdog, pick, or favorite, as well as the larger groupings.
I would not read much into the 6.10% advantage on home picks, due to the small sample size. However, the home underdogs show an advantage of 1.10% over 6025 bets. The standard deviation on that average is about 1.5%, so it could just be that the home underdogs were lucky.
Run LinesUnfortunately, I don't have any data on historical run lines. However, I have done analysis on what a fair run line should be, according to the money line, and whether it is on a road or home team. What I found is that the run lines are pretty well set, at least at the off-shore sports book Pinnacle. Sometimes you will see what looks like a good bet laying the 1.5 runs, but it always seems to be on a game with a low total. A low-scoring game is more likely to end in a margin of victory of 1, which makes a -1.5 spread lose on both sides, and +1.5 win on both. The following table shows the probability of a margin of victory of 1, according to the total.
ConclusionTo conclude, here is my basic strategy for betting baseball:
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