Abstract. It has been noted that in many professional sports leagues a good predictor of a team’s end of season won-loss percentage is Bill James ’ Pythagorean Formula RSobs γ RSobs γ+RAobs γ, where RSobs (resp. RAobs) is the observed average number of runs scored (allowed) per game and γ is a constant for the league; for baseball the best agreement is when γ is about 1.82. This formula is often used in the middle of a season to determine if a team is performing above or below expectations, and estimate their future standings. We provide a theoretical justification for this formula and value of γ by modeling the number of runs scored and allowed in baseball games as independent random variables drawn from Weibull distributions with the same...
Sabermetrics are the application of statistical analysis to baseball records, especially in order to...
The purpose of this paper is to use various baseball statistics available at the beginning of each b...
NOTE: This is an interactive visualization. Statistical documentation in sports is important for ...
Abstract. It has been noted that in many professional sports leagues a good predictor of a team’s en...
ABSTRACT. Bill James invented the Pythagorean expectation in the late 70’s to predict a baseball tea...
We mathematically prove that an existing linear predictor of baseball teams’ winning percentages (Jo...
The Pythagorean Expectation is widely used in the field of sabermetrics to estimate a baseball team...
Originally devised for baseball, the Pythagorean Won-Loss formula estimates the percentage of games ...
The Pythagorean Expectation Formula was the impetus for the statistical revolution of Major League B...
The so-called Pythagorean Theorem of Baseball presumes a relationship between a team’s wins and loss...
Can one understand the statistics of wins and losses of baseball teams? Are their consecutive-game ...
The nature of the relationship Bill James found between the win/loss percentage of a Major League Ba...
This thesis is designed to explore whether a team’s success in any given season can be predicted or ...
Abstract. George Lindsey was one of the first to present run scoring distributions of teams of Major...
In this paper, we will discuss a method of building a predictive model for Major League Baseball Gam...
Sabermetrics are the application of statistical analysis to baseball records, especially in order to...
The purpose of this paper is to use various baseball statistics available at the beginning of each b...
NOTE: This is an interactive visualization. Statistical documentation in sports is important for ...
Abstract. It has been noted that in many professional sports leagues a good predictor of a team’s en...
ABSTRACT. Bill James invented the Pythagorean expectation in the late 70’s to predict a baseball tea...
We mathematically prove that an existing linear predictor of baseball teams’ winning percentages (Jo...
The Pythagorean Expectation is widely used in the field of sabermetrics to estimate a baseball team...
Originally devised for baseball, the Pythagorean Won-Loss formula estimates the percentage of games ...
The Pythagorean Expectation Formula was the impetus for the statistical revolution of Major League B...
The so-called Pythagorean Theorem of Baseball presumes a relationship between a team’s wins and loss...
Can one understand the statistics of wins and losses of baseball teams? Are their consecutive-game ...
The nature of the relationship Bill James found between the win/loss percentage of a Major League Ba...
This thesis is designed to explore whether a team’s success in any given season can be predicted or ...
Abstract. George Lindsey was one of the first to present run scoring distributions of teams of Major...
In this paper, we will discuss a method of building a predictive model for Major League Baseball Gam...
Sabermetrics are the application of statistical analysis to baseball records, especially in order to...
The purpose of this paper is to use various baseball statistics available at the beginning of each b...
NOTE: This is an interactive visualization. Statistical documentation in sports is important for ...