Category Archives: matplotlib

MLB Win Percentage vs Number of Games for One Run Games

August 27, 2016 viz0sdql Leave a comment

mlb_wins_games_for_1rungames_20160826.png
August 27, 2016

This scatter plot show winning percentage (vertical axis) vs number of game (of the horizontal axis) for each MLB team in 2016 through August 26.

The Mariners have the most (47);
The Rangers the highest win rate (77.78%)

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

S(1) as Number of One Run Games, A(W) as Winning Percentage of One Run Games, R(team) @ team and (math.fabs(runs-o:runs)=1 and season=2016) as ‘Winning Percentage of One Run Games v Number of One Run Games\nfor MLB teams through Aug 26, 2016’ ?ymin=0.2 &ymax=0.8 &polyfit=1

matplotlib, MLB, scatter, small multiple, Uncategorized

Cubs Historically Efficient

July 5, 2016 viz0sdql Leave a comment

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 matplotlib graphic was made at SportsDatabase.com
with the SDQL

A(runs),A(10*runs)/A(hits),Replace(team),R(season)@team and season|$1 as Runs,$2 as Runs Per 10 Hits,$3@$4 and ($4>2004) as ‘Runs per 10 Hits vs Runs\nMLB Teams since 2005’?marker_size=38&width=1600

fantasy, matplotlib, NBA, scatter, small multiple

Guard v Forward FanDuel Fantasy Points for Each NBA Team

November 24, 2015 viz0sdql Leave a comment

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.

How might this inform your Fantasy choices?

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=2015 and team and date|$1,$2@$3 as ‘Guard v Forward Fantasy Points\n all NBA teams in 2015’?polyfit=1&transparency=0.3&polyfit_show=0&marker_size=10&symmetric=1

matplotlib, NBA, scatter, small multiple, Uncategorized

Guard v Forward Fantasy Points for NBA teams in 2014

September 16, 2015 viz0sdql Leave a comment

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.

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|$0001,$2@$3 as ‘Guard v Forward Fantasy Points\n all NBA teams in 2014’?polyfit=2&transparency=0.3

matplotlib, MLB, scatter

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

March 2, 2015 admin Leave a comment

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