sheastadium
Footballguy
This topic is in regards to the QB/WR combo that a lot of fantasy owners enjoy. There was a topic on this earlier in the forum, but it focused more on which combo was good and bad, instead of the theory behind using combos. I have a lot of questions with this model, but I wanted to throw it out there and see what you guys thought.
As I was reading the QB/WR thread, I was wondering if there was a way to quantify how viable a QB/WR combo is by using correlations and return/risk metrics. The first thing that came to mind is "diversification" to lessen the overall risk of your fantasy team. In finance, they call this mean-variance optimization, coined by Harry Markowitz who won a Nobel Prize for it.
Mean-variance optimization, in fantasy football terms, basically says, you prefer players with low correlations for fantasy points so you're more diversified. High correlation players would include QB/WR combos because they would share TDs/yards/catches most of the time and hence score a lot of fantasy points at the same time. Very highly correlated. This is a bad thing according to the model because it heightens your risk, risk defined as the volatility of your "portfolio" of players. So to lessen risk, you actually want to pick players that have little correlation to each other but still have high expected return and low volatility. This has some important implications during your draft.
For example, assume you drafted Drew Brees and now was thinking about a wide receiver. Also assume, for the sake of this post, that you expect Terrell Owens and Marques Colston to score the same number of points and they had the same "volatility". A lot of owners in this situation would say "Fantastic Colston/Brees combo that's awesome!". But in theory, it's better to pick TO.
What do you guys think?
As I was reading the QB/WR thread, I was wondering if there was a way to quantify how viable a QB/WR combo is by using correlations and return/risk metrics. The first thing that came to mind is "diversification" to lessen the overall risk of your fantasy team. In finance, they call this mean-variance optimization, coined by Harry Markowitz who won a Nobel Prize for it.
Mean-variance optimization, in fantasy football terms, basically says, you prefer players with low correlations for fantasy points so you're more diversified. High correlation players would include QB/WR combos because they would share TDs/yards/catches most of the time and hence score a lot of fantasy points at the same time. Very highly correlated. This is a bad thing according to the model because it heightens your risk, risk defined as the volatility of your "portfolio" of players. So to lessen risk, you actually want to pick players that have little correlation to each other but still have high expected return and low volatility. This has some important implications during your draft.
For example, assume you drafted Drew Brees and now was thinking about a wide receiver. Also assume, for the sake of this post, that you expect Terrell Owens and Marques Colston to score the same number of points and they had the same "volatility". A lot of owners in this situation would say "Fantastic Colston/Brees combo that's awesome!". But in theory, it's better to pick TO.
What do you guys think?
I believe that would be a RB/WR combo, which has a much lower correlation than WR/QB which was the discussion up to this point.
I believe that would be a RB/WR combo, which has a much lower correlation than WR/QB which was the discussion up to this point.