Construction
27 Feb 2017

MFL10 Roster Construction: What Worked in 2016?

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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.

davidjohnson
06 Jan 2017

How the Best(ball) was Won: Player Win Rates in 2016 MFL10s

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The following looks at the win rates1 of players drafted 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 250 MFL10

dougmartin
11 Aug 2016

Hyper-Fragility: Your Answer to Zero-RB in MFL10s

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Is there a way to beat MFL10s without relying on player evaluation and nailing late-round sleepers? I think there is.

Photo via flickr/denverjeffrey
20 Jul 2015

Booms, Busts and Emmanuel Sanders

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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

antoniobrown
02 Jul 2015

Antonio Brown – Buy the Boom, Skip the Bust

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The first article of this series introduced the concept of using High Floor and Boom/Bust “prototypes” to better understand the week-to-week risk a player brings to your roster. The rest of the series will step through the wide receiver tiers, WR1 down to WR4. The following focuses on

RuebenRandle2
23 Jun 2015

Using Historical Data to Identify Boom/Bust Receivers

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While gearing up for the 2015 fantasy football season, you will inevitably see the terms High Floor and Boom/Bust in reference to particular players.  Which type of player you are drafting can be useful information as you build your roster.  Two players with the same total points over a season