Peek into Chapter 5 from my Drafting Textbook. Clues for Drafting; Team Analysis and Distribution of PPR Points to each Position.

Chapter 5. Clues for Drafting; Team
Analysis and Distribution of PPR Points
to each Position.

In fantasy football, players are on teams, thus team analysis is a necessary backdrop for
our 2017 drafts. In figure 5-1, I present a team view of all 32 team's PPR points scored
from 2013 to 2016. The data is color coded each years' top and bottom PPR scoring

I have color coded the team names with a light red coloring to point out teams that have
been in the bottom in each of the 4 years. Those teams are BUF, JAC, LAR, MIN, and
SF. As a whole, these teams have been underperforming for years. Be aware of drafting
lower level players from these teams.

The opposite of the underperforming teams were those teams that have been performing
higher than most other teams across the 4 years. They are colorized in light green and are
NE, NO, PIT, SD, and SEA. Players from those teams need a deeper look for a sleepers.

Certainly,  teams doing well in the last year or 2 years must be considered as well.

Figure 5-1

Last year's data is the best look at the team PPR Scoring level going into 2017 drafts. Figure 5-2 presents the increased PPR scoring level from the 2015 season by the team. The list was sorted from the highest % PPR point increase to the lowest. Green colorization represents the most improved teams and red
colorization points out the teams with the worst performance from 2015 to 2016.

The scaled data column gives a more accurate improvement score for each team from 2015 to 2016. The average Team increase was 72.1%. That number was subtracted from the first column
improvement score and the resulting scores were color coded from blue (best) to red (worst). The top 7 teams are listed and are those whose players should be given extra credit in setting up your 2017 chest sheets.

Figure 5-2

A 4-year view of all NFL team's fantasy points gives us a grand look into team production.
The teams that have higher production of Fantasy Points will have players that score
more points than average. Expect lower ranked player could have a better chance of
being sleeper draft picks.

In Figure 5-3, the data includes total Fantasy Points over the 4
years, the % of the league grand league total, and the scaled league percentage of total
Fantasy Points. These data were color coded by red for team's below average and green
or blue to denote the teams that have scored the highest fantasy points.

These top group of teams should be noted in the 2017 drafts as have higher chances to generate
better draft picks on average. This finding is for sure a good tie or tier breaker between
similarly grouped players

Figure 5-3

In the complete Chapter 5 in my soon to be published 2017 Textbook,  I break out all the QB, RB, WR and TEs positions for more and finer tuned Action-Packed Data and Analysis for your drafting pleasure!

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