Understanding Win Rates: The Picks that Won MFL10s in 2017

The following looks at the win rates[1] of players drafted in close to 5,000 MFL10 best-ball leagues in 2017.[2] This analysis follows the same format used in last year’s win-rate article.

Footnotes

Footnotes
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.
2 “2X,” or double-up, leagues have been excluded.

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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…...

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…....

MFL10 Roster Construction: What Worked in 2016?

In January, I took at look at the players with the best and worst win rates across 2016 MFL10 best-ball leagues. Here, the focus shifts to roster construction. Roster construction is defined by the number of players a team drafts at each position…....

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…...

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…....

MFL10 Roster Construction: What Worked in 2016?

In January, I took at look at the players with the best and worst win rates across 2016 MFL10 best-ball leagues. Here, the focus shifts to roster construction. Roster construction is defined by the number of players a team drafts at each position…....

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