These scatter plots show the average runs per 10 hits vs average runs for MLB teams. Each of the small multiples represents a season starting with 2005 in the upper left through 2016 (through July 4) in the lower right.
The highest average runs per game was achieved by the Yankees in 2007.
The most outstanding team over this time period was the 2015 Blue Jays.
The scatter plot for 2016 at the lower right shows that the Cubs are on pace to set the highest runs per hit efficiency in more than 10 years and that Atlanta and the Royals are near the historic futility of the 2013 Marlins and the 2010 Mariners.
This set of small multiple scatter plots shows the guard’s v forward’s fantasy points for each NBA team through Nov 22, 2015. Each scatter plot show the performance of a team. The horizontal position of each dot gives the total fantasy points for that team’s starting forwards and the vertical position that for the starting guards.
The Hornets in the upper left show the most negative correlation: when the guards get a lot of fantasy points the forwards get few. At the other extreme in the lower right the Nuggets show the most positive correlation: when their guards do well so do their forwards.
Also notable is the relatively tight correlation (seen by the narrow shaded region of normalcy) for the Jazz, Thunder and Grizzlies and that the Wizard’s Forwards are most consistent in their Fantasy output.
These scatter plots show the combined fantasy points of the starting guards v combined fantasy points of the starting forward for each NBA player-game in 2014: that is, each dot represents player performance in a single game.
This matplotlib graphic was made at SportsDatabase.com
with the SDQL
S(FP@position=F and date and team) as Forwards,S(FP@position=G and date and team) as Guards,R(team) @ season =2014 and team and date|$1,$2@1 as ‘Guard v Forward Fantasy Points\n all NBA teams in 2014’?polyfit=3&transparency=0.3&polyfit_show=0
A small change of the SDQL breaks this relationship down by team.