|
|
|
|
|
- AOS is a metric created to measure a team's relative scoring efficiency. Most of the time, people simply look at points per game (PPG) when considering the best offenses, but that doesn't tell the whole story. How do you compare teams that feasted on weak defenses against teams that faced much stronger opposition? AOS attempts to provide some differentiation. Here's how it works: Take a team's average PPG and subtract the average points allowed by their opponents; the higher the number, the better the offense. For example, last season North Shore ranked 26th in raw PPG (36.4), but ranked 5th in AOS (+15.4), meaning that they scored, on average, 15.4 points per game more than their opponents allowed. That would indicate that North Shore faced tougher than average defenses and their offense was probably better than the raw numbers indicated. Of course, this stat (like most stats) is far from perfect. Teams that play really weak competition still have inflated numbers. Take the example where a team has a high AOS, and their opponents gave up a relatively low number of points on average....what if their opponents' opponents just had relatively poor offenses? The next step we'll take with this stat is to factor in the opponents' opponents numbers, probably in the same way it's handled in strength of schedule calculations. |
|
|
|
|
|
|
|
Starts Week 6 - As is the case for AOS, ADS can be unjustly swayed by an outlier of a result or two, favorably or unfavorably, and I haven't yet figured a way to account for that. There should be some sort of 'Consistency' measure with both numbers, but with so few data points, it may not matter. As I've said before, trying to assess or predict the consistency of a large group of 15-18 year olds borders on insanity, but it sure is fun to attempt. |
|
|
|
|