Using the conventional draft value point chart, we can evaluate the relative weight that teams place on each position. By summing the draft points "spent" on players at certain positions we can rank the relative importance of each position in the draft. Here is a list of each position and how many total draft points have been spent on them based on the '99-'06 drafts for all 7 rounds.
It's an interesting list because high-profile positions such as QB or RB are not at the top of the list as we'd expect. Many other analysts make a chart like this each year, but there is a flaw with ranking positions this way.
A far better measure of the relative value placed on each position in the draft would be one that takes into account the number of players needed at each position. We can allow for the difference in the number of players needed in two ways. First, we can divide total points by the number of players of each position typically on a roster. Alternatively, we can divide by the number of players of each position typically on the field.
Here is the table of position draft pick value per player on the field: Here is the table of position draft pick value per player on a typical roster:
Expectedly, "singular" positions such as QB and RB move up the lists because there are fewer of them required and "multiple" positions such as WR or CB move down the list. A lot of conclusions can be drawn from these tables, but what surprises me most is that RBs are valued as highly as QBs. Conventional wisdom says that solid QBs are so much harder to find than solid RBs, but it appears teams choose to spend roughly the same amount of draft points on those positions.
Perhaps the "typical" roster has more than 3 RBs or less than 3 QBs, but I'd suspect the true average number of roster spots isn't that far off. Plus, we get the same result when accounting for players on the field, and it's been a long time since we've seen 2 RBs on the field simultaneously.
There are some exceptions, but we see generally successful teams at the top of the list and generally unsuccessful teams at the bottom. It's a rough analysis, but it leads me to believe there is some level of correlation between maneuvering for M-T surplus value and team success on the field. Keep in mind, bottom-feeder teams with the top picks have more M-T surplus value than winning teams with the later picks. Therefore, if there truly is a significant correlation between wins and M-T value, the direction of causation would be from M-T value to wins, not vice-versa.
One team does stand out at the top. Tennessee is certainly an outlier at the top of the list with a difference of 20. Admittedly, this is not a sophisticated statistical test. Ordinal rankings are rarely as powerful as proportional continuous values, but they are still very useful.










