Winning Percentage v Number Played for in one runs games through Aug 19,2015

Winning Percentage v Number of Games\nin one runs games through Aug 19,2015
Winning Percentage v Number of Games in one runs games through Aug 19,2015

This scatter plot shows winning percentage in 1 run games vs number of such games through Aug 19,2015.

The Cardinals have the most one run games at 46. The Pirates and Royals have the best winning precentage at 63%. The Blue Jays have the lowest winning percentage at just 33%.

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

S(1),S(100*(W))/S(1),Replace(team)@team and season=2015 and abs(runs-o:runs)=1|$1 as Games,($2) as Wins,$3@1 as ‘Winning Percentage v Number of Games\nin one runs games through Aug 19,2015’ ?marker_size=40

Hits v Runs MLB teams through Aug 18,2015

Hits v Runs MLB teams through Aug 18,2015
Hits v Runs MLB teams through Aug 18,2015

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

Runs Allowed v Runs Scored for MLB teams through Aug 15,2015

Runs Allowed v Runs Scored\nMLB teams through Aug 15,2015
Runs Allowed v Runs Scored\nMLB teams through Aug 15,2015

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

How Long Yankees Starters Lasted (2015 season through August 11)

hist_yankee_starter_outs_xname_20150813

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