If the grading is in 0.5 increments, how did Smith get 0.3 and Free get 2.3? No matter how many categories they graded, the average would always end in either .0 or .5.
I would think when the "normalize" the grades that causes grades to end with something other than a 0 or 5.
Explanation of "Normalization"...
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5) Normalization and What the Grades Mean
Once we’ve got the raw grades we could leave it there, but this would lead to a number of problems.
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For example, because an offensive lineman can only be negatively graded in pass protection, the perfect score in the raw data is 0. However, what if a lineman plays half the number of passing plays of another guy and they both score 0? What allows you to understand the second has done the better job? This is where Player Participation comes in: To fully understand how a player has performed, we need to know how many plays he’s participated in and what role he performed.
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So when we look at, say, a TE, we need to know how many plays he spent out in pass routes, how many times he blocked for the run and how many times he stayed in to block for the pass. To this number we then apply a normalization factor to set the AVERAGE player in that facet of the game to 0.
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If, however, you look at the “By Position” tab, you will notice that not all of the averages are 0 for every season. This is because we applied the average of 0 to our first season and have retained those “normalization factors” throughout the subsequent seasons to allow a comparison of how the average performance has shifted over seasons. This demonstrates how the standard of play in the league changes through time.
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Normalization gives the grades their full setting as a performance indicator for an individual over his full body of work on a per-game, per-season and per-play basis.
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