![]() Now diving in raw to the year-to-year comparisons. However, using fantasy sports to activate involvement among self-described non-fans of a particular sport remains a relatively unexplored area. If a player misses or plays say 5 more games than the year prior, it’s not exactly a good comparison.įrom 2015 to 2019, there were a total of 47 players that met the above criteria. We exclude greater than +/-2 because the intent is to identify how the RACR metric translates to future fantasy point performance the following year. If he would have missed two games in 2018, he would be included with the data. Cooper Kupp finished with 5th highest RACR in 2017, but missed 7 games in 2018, which excludes him from the data. The sample only includes WRs that played a max difference of 2 games (+/-) year-to-year The sample of data is only for WRs that had annual receptions => 45įor the WRs that had => 45 receptions, the sample of data only includes the WRs that finished with a top 18 RACR ranking The model compares base year performance to following year performance, so it is a four year sample One exception is fantasy points (.5 Point PPR) is from pff.com The data identifies year-to-year consistency, but also highlights what could be potential league winners for 2020. A mild low mood or greater was reported by 44 of those who spent more than 45 minutes playing, more than 60 minutes researching and more than 120 minutes thinking about fantasy football a day. The intent of this post is to breakdown a defined player pool sample of RACR data that compares RACR to future fantasy point performance. My thought at this point was, if Michael Thomas who is one of the best WRs in the league is ranked at the top for RACR, how do other top performing RACR WRs perform in fantasy?
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