Below is a table showing each teams actual park factor (runs) and the Vegas park factor which is calculated by reverse engineering their over/unders for each game and using that as a proxy for actual runs scored for each game. The table is sorted by which actual park factor is closest to the Vegas park factor. The teams at the top of the list are playing in a run environment at home close to where the betting public is predicting it to be. The teams at the bottom of the list are having a lot of random variation when it comes to their home park run environment so far in this young season. Small sample sizes and regression to the mean are at play here but it is interesting to see how things are shaping up so far with the empirical data.
Team | Actual PF | Vegas PF | Delta |
---|---|---|---|
Dodgers | 0.992 | 0.998 | 0.005 |
Reds | 1.118 | 1.082 | 0.036 |
Padres | 0.945 | 0.908 | 0.037 |
Twins | 0.941 | 0.978 | 0.037 |
Mets | 0.791 | 0.847 | 0.056 |
Rangers | 1.009 | 1.065 | 0.056 |
DBacks | 1.013 | 1.071 | 0.058 |
Braves | 0.922 | 0.981 | 0.059 |
White Sox | 1.035 | 0.962 | 0.073 |
Phillies | 0.827 | 0.910 | 0.083 |
Marlins | 1.136 | 1.034 | 0.103 |
Giants | 0.849 | 0.951 | 0.103 |
A's | 0.783 | 0.888 | 0.106 |
Indians | 0.907 | 1.014 | 0.106 |
Blue Jays | 1.219 | 1.103 | 0.116 |
Tigers | 0.930 | 1.060 | 0.130 |
Pirates | 1.047 | 0.912 | 0.136 |
Rockies | 1.473 | 1.321 | 0.152 |
Yankees | 0.872 | 1.037 | 0.165 |
Cubs | 1.167 | 0.993 | 0.174 |
Mariners | 0.738 | 0.931 | 0.192 |
Rays | 1.123 | 0.927 | 0.195 |
Nats | 0.773 | 0.988 | 0.215 |
Red Sox | 1.248 | 1.021 | 0.227 |
Royals | 1.285 | 1.052 | 0.233 |
Astros | 1.261 | 1.020 | 0.241 |
Angels | 1.253 | 0.964 | 0.288 |
Orioles | 0.694 | 1.017 | 0.324 |
Brewers | 0.667 | 1.056 | 0.388 |
Cardinals | 1.375 | 0.974 | 0.402 |
2 comments:
Just curious: how did you calculate the actual park factors?
Actual park factors were calculated the simple way.
(Home RS + Home RA)
divided by
(Away RS + Away RA)
The exercise was to compare empirical data vs Vegas data.
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