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

Runs v Home Runs for MLB Teams in the 2014 regular season

Runs v Home Runs for MLB Teams in the 2014 regular season
Runs v Home Runs for MLB Teams in the 2014 regular season

This scatter plot shows Runs v Home Runs for MLB Teams in the 2014 regular season.

The Orioles homered the most; The Angels scored the most; The Padres scored the fewest runs with the 4th fewest homers.

The least squares fit shows a slope of 1.2 runs per hit. The Angles and Tigers are above of the shaded region of normalcy with their high run output with relatively few home runs. The Padres are below this region with few runs compared with homers.

This matplotlib graphic was made at SportsDatabase.com with the SDQL
S(runs),S(home runs),R(team)@team and season=2014 and playoffs=0|$2 as Home Runs,$1 as Runs,$3@1 as ‘Runs v Home Runs for MLB Teamsnin the 2014 regular season’?marker_size=40&polyfit=1&polyfit_show=1

Third Period Goals vs First Period Goals NHL teams through March 12, 2015

Third Period Goals vs First  Period Goals NHL teams through March 12, 2015
Third Period Goals vs First Period Goals NHL teams through March 12, 2015

This scatter plot shows the Third Period Goals vs First Period Goals NHL teams through March 12, 2015.

The Penguins score the most in the first; The Lightning score most in the third.

The six teams below the diagonal score more in the first than the third.

This matplotlib graphic was made at SportsDatabase.com
with the SDQL
S(period scores[0]),S(period scores[2]),R(team)@team and season=2014|int($1) as First Period Goals,int($2) as Third Period Goals,$3@1 as ‘Third Period Goals vs First Period GoalsnNHL teams through March 12, 2015’?marker_size=36&polyfit=1&polyfit_show=1&polyfit_error_scale=1&marker_size=60

Number of Wins vs Number of Times Winning After 5 Innings for MLB teams in the 2014 regular season

Number of Wins vs Number of Times Winning After 5 for MLB teams in the 2014 regular season
Number of Wins vs Number of Times Winning After 5 for MLB teams in the 2014 regular season

This scatter plot shows the Number of Wins vs Number of Times the Team was Winning After 5 innings for MLB teams in the 2014 regular season.

The linear fit and shaded region or normalcy are also shown.

Teams to the top won the most games;
Teams to the right were winning the most after 5 innings;
Teams to the lower right fade late;
Teams to the upper left comeback.

This matplotlib graphic was made at SportsDatabase.com
with the SDQL S(M5>0),S(margin>0),R(team)@team and season=2014 and playoffs=0|($1) as Winning after 5,($2) as Wins,$3@1 as ‘Number of Wins vs Number of Times Winning After 5nMLB teams 2014 regular season’?polyfit=1&marker_size=40&polyfit_error_scale=0.6&yticks=5

Goals Allowed vs First Period Goals Allowed for NHL teams through Feb 25, 2015

Devils Defend Early, Canadiens Later; Oilers Leak.

This icon-scatter-plot shows the Goals Allowed vs First Period Goals Allowed for NHL teams through Feb 25, 2015.

Also shown is the linear fit and the shaded region of normalcy.

Teams above the dashed line defend better in later periods.
Teams below the dashed line defend better in the first period.

While the Devils allow the fewest goals in the first period, by the end of the game they are about average.
The Canadiens allow the fewest goals overall, and are about sixth best in the first period.

This matplotlib graphic was made at SportsDatabase.com
with the SDQL S(o:period scores[0]),S(o:goals),R(team)@team and season=2014|int($1) as First Period Goals Allowed,int($2) as Goals Allowed,$3@1 as ‘Goals Allowed vs First Period Goals AllowednNHL teams through Feb 25, 2015’?marker_size=36&polyfit=1&polyfit_show=1&polyfit_error_scale=0.8&marker_size=60

Goals vs First Period Goals for NHL teams through Feb 24, 2015

Goals vs First  Period Goals for NHL teams through Feb 24, 2015
Goals vs First Period Goals for NHL teams through Feb 24, 2015

This scatter plot shows the Goals vs First Period Goals for NHL teams through Feb 24, 2015.

Also shown is the linear fit and shaded region of normalcy.

Teams towards the upper left do better later in the game.

Teams to the lower right score early and fade late.

The Penguins scored the most in first period with 62 goals.

The Lightning scored the most goals with 203, even though six teams outscored them in the first.

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

S(period scores[0]),S(goals),R(team)@team and season=2014|int($1) as First Period Goals,int($2) as Goals,$3@1 as ‘Goals vs First Period GoalsnNHL teams through Feb 24, 2015’?marker_size=36&polyfit=1&polyfit_show=1&polyfit_error_scale=1&marker_size=60