In the previous post I described a simple MLB data fie for
2017. In this post, I will use this data to test a potential system for
identifying wagers with positive expectations of return. I am going to look at
run line wagers. In these one team gets +1.5 runs added to their score and the
other has -1.5 combined with their score. The odds for these alternatives vary
quite a bit from game to game.
The underlying system being used is one that has over 300
potential scores for each game based on scores of previous similar games. This
system will be discussed in some future posts. The process involves looking at
each of the previous scores, apply the run line, and determine a win or a loss.
This is done for both teams in the current game. The resulting probability of
each team covering is combined with each team’s odds to assign an expected
return. The expected return is stated in return per dollar wagered.
There were potentially 4,932 run line wagers on the 2,466
games in the 2017 file. The following table summarizes the results grouped by
expected return ranges. (Note: The overall win percentage of the wagers with
expected return above 1.00 was 51.3%. But this is a meaningless number since it
didn’t account for the odds.)
The above results indicate that there does appear to be some
value in using this system and wagering on those with expected returns above $1.00.
If you made all these wagers, you would be making about 9 per day. That’s an
awful lot. Wagering on those with expected returns above $1.05 would lower the
number to about 3 per day and raise the expected return to $1.04.
The are other ways at looking at these wagers to better improve
the results rather than expected return groups. Will betting those with favorite
odds be better than those with dog odds? Would using the team’s location, visit
or home, improve the results? And probably most significant, what would looking
at other seasons show?
I’ll open a topic on Sports Book Review in the Handicappers
Think Tank forum (“Run Line Wager Analysis”) to deal with some of these
questions. You are welcome to make comments, raise questions, or criticisms
there. Follow me on Twitter, @ole44bill, to know when I post further analysis.
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