The raw data behind the story "The Best MLB All-Star Teams Ever" https://fivethirtyeight.com/features/the-best-mlb-all-star-teams-ever/.
mlb_as_team_talent
A data frame with 172 rows representing Major League Baseball seasons and 16 variables:
The season in question
Order of All-Star Game for the season (in years w/ multiple ASGs; set to 0 when only 1 per year)
Game ID at Baseball-Reference.com
League of All-Star team
Total runs of offensive talent above average per game (36 plate appearances)
Total runs of fielding talent above average per game (36 plate appearances)
Total runs of pitching talent above average per game (9 innings)
MLB average runs scored/game that season
Expected runs scored per game based on talent (MLB R/G + team OFF talent)
Expected runs allowed per game based on talent (MLB R/G - team DEF talent- team PIT talent)
Unadjusted Pythagorean talent rating; PYTH =(RSPG^1.83)/(RSPG^1.83+RAPG^1.83)
Estimate of relative league quality where 2015 MLB = 1.00
Strength of schedule faced; adjusts an assumed .500 SOS downward based on timeline adjustment
Adjusted Pythagorean record; =(SOS*unadj_Pyth)/((2*unadj_Pyth*SOS)-SOS-unadj_Pyth+1)
Best player according to combo of actual PA/IP and talent
2nd-best player according to combo of actual PA/IP and talent
http://baseball-reference.com , http://chadwick-bureau.com, Fangraphs