This scatter plot shows runs v hits for MLB teams in 2015 through August 18th along with the shaded region on normalcy.

Teams to the upper left, led by the Blue Jays, have the greatest offensive efficiency while teams to the lower right get the most hits with fewest runs.

This matplotlib graphic was made at SportsDatabase.com
with the SDQL

A(hits),A(runs),Replace(team)@team and season=2015|$1 as Hits,$2 as Runs,$3@1 as ‘Hits v Runs\nMLB teams through Aug 18,2015’ ?marker_size=40&polyfit=2&polyfit_error_scale=0.000051

This set of small multiple scatter plots show the runs allowed vs. the run scored by each MLB team through Aug 15,2015. Teams to the right hand side of the graph, led by Toronto score more runs: teams towards the bottom, led by the Cardinals allow few runs.
This matplotlib graphic was made at SportsDatabase.com
with the SDQL

S(runs),S(o:runs),Replace(team)@team and season=2015|$1 as Runs Scored,$2 as Runs Allowed,$3@1 as ‘Runs Allowed v Runs Scored\nMLB teams through Aug 15,2015’ ?marker_size=40&polyfit=2&polyfit_error_scale=0.001&symmetric=1

This set of small multiples shows how many out each Yankee starter (with 3+ starts) achieved in 2015. Sabathia often goes 7 innings; Tanaka rarely gets pulled mid-inning; Eovaldi averages around 7 and is often pulled mid inning.

This matplotlib graphic was made at SportsDatabase.com
with the SDQL

int(3*innings pitched) as Outs @ name and (team=Yankees and season=2015 and order=1 and name[0] not in ‘BL’) as ‘How Long Yankees Starters Lasted (2015 season through August 11)’?height=540&columns=4

The number of outs achieved by starters for each team in 2015.

The Tigers and Yankees pull mid inning;

Padres and Pirates love to go 7.0

This matplotlib graphic was made at SportsDatabase.com
with the SDQL

int(Starter:innings pitched*3) as ‘Outs by Starter’,’Number of Games’@ team and (season=2015) as ‘How Long Did the Starter Last?\nMLB 2015’?transparency=0.5