Expanding the usage of aeRatio |
| After you tackle the basic application of what aeRatio measures, there are other areas where you can apply the data involved. With aeRatio being a rate, it can be transferred over to other situations and still hold the same relevance. If we sort the 2008 data by eRBI, it shows that Justin Morneau was presented with the best opportunity to earn RBIs with a value of 99.372. If we do a sort in 2008 for aeRatio, we see that Ryan Howard took advantage of his situations more than anyone else with a rate of 1.718. |
| So now we can make the claim that in 2008, the most ideal situation in baseball would be for Ryan Howard to take each of Justin Morneau’s at bats. Here is the calculation you would use to find out how many RBIs that most ideal situation would generate. |
| Howard’s aeRatio(1.718) * Morneau’s
eRBI(99.372) = ~171 aRBI That is 27 extra RBIs that Howard would be expected to have. |
| What makes this little experiment even better is that both Howard and Morneau are first baseman who bat cleanup, so imagining a straight swap between the two is more realistic in a general sense than most other cases. To help show that this calculation can be done for all non teammates, let’s do the reverse by putting Morneau on the Phillies. |
| Morneau’s aeRatio(1.288) * Howard’s
eRBI(83.805) = ~108 aRBI This is 20 less RBIs that Morneau was able to drive in last season. |
| Another time we can discuss why Morneau's eRBI is higher than Howard's, along with every other player in the league for 2008. A quick hint: It rhymes with Low Power. |