Booms, Busts and Emmanuel Sanders
Photo via flickr/denverjeffrey

This series started by introducing a new way of looking at weekly risk and then focused on WR1s.  Now the spotlight is on the WR2s. Within the WR2 tier, there are only three players who have played more than one season with their current team, and Julian Edelman is the only player who has been with his team for more than two years. For more...

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Understanding Win Rates: The Picks that Won MFL10s in 2017

The following looks at the win rates[1]Win rate is a ratio defined by the number of times a player was on a first place roster divided by the total number of times that player was drafted. This analysis encompasses players drafted in at least 500 MFL10, MFL25, MFL50 or MFL100 leagues. of players drafted in close to 5,000 MFL10 best-ball leagues in 2017.((“2X,” or double-up,…...

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MFL10 Optimization Part 2: Quarterback, Tight End and Defense

In part one of this project, we followed the evolution of a fictional 2016 MFL10 draft from an inefficient mess into a league full of optimized rosters. That first step provided us with some general guidelines for roster construction. Now we dig a bit deeper, in search of more detailed and more actionable conclusions. We’ve already learned, for example, that we want to roster either two or three…...

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MFL10 Optimization: Evolution of a Perfect Draft

What would an MFL10 draft look like if all twelve players knew exactly what they were doing? You may never have asked yourself that question, but I have spent more time thinking about roster construction than I care to admit, so I decided to find out how an “optimized” draft might play out…. Membership Required You must be a member to access this content.View Membership...

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Understanding Win Rates: The Picks that Won MFL10s in 2017

The following looks at the win rates[1]Win rate is a ratio defined by the number of times a player was on a first place roster divided by the total number of times that player was drafted. This analysis encompasses players drafted in at least 500 MFL10, MFL25, MFL50 or MFL100 leagues. of players drafted in close to 5,000 MFL10 best-ball leagues in 2017.((“2X,” or double-up,…...

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MFL10 Optimization Part 2: Quarterback, Tight End and Defense

In part one of this project, we followed the evolution of a fictional 2016 MFL10 draft from an inefficient mess into a league full of optimized rosters. That first step provided us with some general guidelines for roster construction. Now we dig a bit deeper, in search of more detailed and more actionable conclusions. We’ve already learned, for example, that we want to roster either two or three…...

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MFL10 Optimization: Evolution of a Perfect Draft

What would an MFL10 draft look like if all twelve players knew exactly what they were doing? You may never have asked yourself that question, but I have spent more time thinking about roster construction than I care to admit, so I decided to find out how an “optimized” draft might play out…. Membership Required You must be a member to access this content.View Membership...

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