Fantasy Baseball with a Statistical Twist

2008 ◽  
Vol 102 (4) ◽  
pp. 264-271
Author(s):  
Lori Koban ◽  
Erin McNelis
Keyword(s):  
Statistical Inference ◽  
Exploratory Analysis ◽  
College Board ◽  
Entry Level ◽  
Batting Average ◽  
College Course ◽  
Level Statistics ◽  
Major League ◽  
Fantasy Baseball ◽  
Baseball Fans

Fantasy baseball, a game invented in 1980, allows baseball fans to become managers of pretend baseball teams. In most fantasy baseball leagues, participants choose teams consisting of major league players who they believe will do well in five offensive categories (batting average, home runs, runs batted in, stolen bases, and runs scored) or in five pitching categories. We bring a fantasy baseball activity into entry-level statistics classes. Each student drafts a team on the basis of nine offensive categories, most of which are statistical twists on the five categories above. The primary goal of this activity is to apply the material in an introductory one-semester, non-calculus-based college course in statistics. This is the type of course that AP Statistics courses are designed to emulate, so this project is appropriate for AP Statistics classes as well. Indeed, this project incorporates exploratory analysis, planning and conducting a study, probability, and statistical inference, the four major themes of an AP Statistics class (The College Board 2004).

scholarly journals The Impact of Temperature on Major League Baseball

2013 ◽  
Vol 5 (4) ◽  
pp. 359-366 ◽  
Author(s):  
Brandon Lee D. Koch ◽  
Anna K. Panorska
Keyword(s):  
United States ◽  
Major League Baseball ◽  
The United States ◽  
Cold Weather ◽  
Baseball Game ◽  
Batting Average ◽  
Warm Weather ◽  
Major League ◽  
National League ◽  
The Impact

Abstract Major League Baseball is played from the beginning of April through the end of October each year, encompassing three of the four meteorological seasons: spring, summer, and fall. The 30 teams play in cities across the United States and Canada in many types of weather. This work studies the impact of temperature on a Major League Baseball game by examining the association between temperature and several Major League Baseball game statistics, including runs scored, batting average, slugging percentage, on-base percentage, home runs, walks, strikeouts, hit-batsmen, stolen bases, and errors. Data from 22 215 games, spanning the 2000–11 regular seasons, were studied. Temperature was categorized as “cold,” “average,” and “warm.” Analyses were performed on the following populations: all Major League Baseball games, games played in the National League, games played in the American League, and games played in 23 different stadiums that are currently being used by Major League Baseball teams. Home and away teams' performances were analyzed separately for each population of games. The results of this study show that runs scored, batting average, slugging percentage, on-base percentage, and home runs significantly increase while walks significantly decrease in warm weather compared to cold weather.

3000 Hits Lesson Overview

2017 ◽  
Vol 110 (9) ◽  
pp. 720
Author(s):  
Matthew Whitney
Keyword(s):  
Data Sets ◽  
Batting Average ◽  
Major League ◽  
Variable Data ◽  
Using Data

My favorite lesson is a statistics exploration using data from Major League Baseball's (MLB) 3000-Hits Club. Students in my introductorystatistics course analyze two 1-variable data sets—career batting average and total career hits—that have significant differences in variability and distribution (Wikimedia Foundation 2017a).

scholarly journals The Prediction of Batting Averages in Major League Baseball

Stats ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 84-93 ◽  
Author(s):  
Sarah R. Bailey ◽  
Jason Loeppky ◽  
Tim B. Swartz
Keyword(s):  
Linear Regression ◽  
Major League Baseball ◽  
Difficult Problem ◽  
Standard Errors ◽  
Simple Linear Regression ◽  
Empirical Comparison ◽  
Batting Average ◽  
Major League ◽  
Test Algorithm

The prediction of yearly batting averages in Major League Baseball is a notoriously difficult problem where standard errors using the well-known PECOTA (Player Empirical Comparison and Optimization Test Algorithm) system are roughly 20 points. This paper considers the use of ball-by-ball data provided by the Statcast system in an attempt to predict batting averages. The publicly available Statcast data and resultant predictions supplement proprietary PECOTA forecasts. With detailed Statcast data, we attempt to account for a luck component involving batting averages. It is anticipated that the luck component will not be repeated in future seasons. The two predictions (Statcast and PECOTA) are combined via simple linear regression to provide improved forecasts of batting average.

Leveraging Food as the Context for Developing Computational Algorithmic Thinking in an Entry-Level College Course

2017 ◽  
pp. 113-130 ◽  
Author(s):  
Yolanda A. Rankin ◽  
Jakita O. Thomas
Keyword(s):  
African American ◽  
Computer Science ◽  
Stem Majors ◽  
Entry Level ◽  
Introductory Computer Science ◽  
College Course ◽  
Algorithmic Thinking

Over the course of three years, we have developed the It's All In The Mix module as part of an introductory Computer Science (CS) course that is a required course for all STEM majors. It's All In The Mix currently consists of a set of integrated food-focused activities that expose students to computational algorithmic thinking (CAT) – the ability to design, implement, adapt and assess algorithms. In the context of using recipes to prepare food, It's All In The Mix provides an anchoring experience for African American undergraduate STEM majors, bridging the gap between students' enactment of algorithms in everyday settings and algorithms in an introductory CS course. As a result of the integration of the It's All In The Mix, we achieve 100% retention of students in the introductory CS course. This chapter examines how this food module has influenced students' development of CAT and their perception of CS.

A Comprehensive Approach to Teaching Visual Basic Programming

2011 ◽  
pp. 228-234
Author(s):  
Yun Wang
Keyword(s):  
Graphical User Interface ◽  
Information Science ◽  
Visual Basic ◽  
Teaching Approach ◽  
Traditional Teaching ◽  
Entry Level ◽  
Academic Communities ◽  
College Course ◽  
Approach To Teaching ◽  
Teaching Programs

Visual Basic (VB), a graphical user interface (GUI) application and object-oriented program, has been adopted as an entry-level programming course in computer information science curricula at many colleges. Compared with “C,” Pascal, or other traditional teaching programs, VB is rather a new subject in the field. Correspondingly, studying effective approaches to teaching VB has brought tremendous interest in academic communities. The author has primarily taught VB as a college course for several terms, and he began his new comprehensive VB teaching approach described by this article in 1998. After a three-semester trial period, the VB course outcome is encouraging. This article is dedicated to documenting the comprehensive VB teaching approach and serves as a summary report for future improvement. This article first introduces the background of the VB course taught in the author’s institution. Secondly, it briefly outlines previous teaching approaches and describes the newly implemented one in detail. Then it examines existing course questions and proposes future revisions by studying the results of this new teaching approach. Finally, a summary is given to call for more research.

C.B.C. Distribution and Marketing, Inc., v. Major League Baseball Advanced Media, L.P., 505 F.3d 818 (8th Cir. 2007)

2008 ◽  
Vol 1 (2) ◽  
pp. 241-245 ◽  
Author(s):  
Anastasios Kaburakis
Keyword(s):  
Major League Baseball ◽  
Interactive Media ◽  
District Court ◽  
Fantasy Sports ◽  
Breach Of Contract ◽  
Major League ◽  
Fantasy Baseball ◽  
Summary Judgment ◽  
Internet Company

CBC Distribution and Marketing, Inc. (CBC), operator of CDMsports.com (CDM), offering fantasy-sports products and services, brought this action against Major League Baseball Advanced Media, L.P. (MLBAM), to establish its right to use without license the names and, inherently crucial for fantasy-sports operators, statistical records of Major League Baseball (MLB) players. MLBAM, the interactive media and Internet company of MLB, counterclaimed that CBC’s fantasy-baseball products violated MLB players’ rights of publicity, which were licensed through the MLB Players’ Association (MLBPA) to MLBAM. The MLBPA intervened in the suit, joining in MLBAM’s claims and further asserting a breach-of-contract claim against CBC. The district court granted summary judgment to CBC—see C.B.C. Distribution and Marketing, Inc. v. Major League Baseball Advanced Media, L.P., 443 F. Supp. 2d 1077 (E.D. Mo. 2006)—and MLBAM and the MLBPA appealed.

Major League Baseball Attendance and the Role of Fantasy Baseball

2011 ◽  
Vol 13 (5) ◽  
pp. 494-514 ◽  
Author(s):  
Todd M. Nesbit ◽  
Kerry A. King-Adzima
Keyword(s):  
Major League Baseball ◽  
Major League ◽  
Fantasy Baseball ◽  
The Impact ◽  
Game Attendance

Many explanations exist for the resurgence of the Major League Baseball (MLB) fan base following the 1994-1995 strike. The most prevalent explanations include the 1998 McGuire-Sosa homerun race and Cal Ripken Jr.’s consecutive games record. While such explanations certainly impacted fan interest in the sport, it is remiss to ignore the impact of online fantasy baseball leagues, which surfaced in 1997. This article examines the extent to which participating in a fantasy baseball league influences the MLB game attendance. The results strongly suggest that fantasy baseball participation positively influences MLB game attendance.

Achievement Differences between Black and White Professional Baseball Players in 1970

1972 ◽  
Vol 34 (1) ◽  
pp. 269-270 ◽  
Author(s):  
Morton Bloomberg
Keyword(s):  
Professional Baseball ◽  
Baseball Players ◽  
Black And White ◽  
Batting Average ◽  
Significant Difference ◽  
Major League

Major league black hitters compiled a significantly higher batting average during 1970 than white hitters. There was no significant difference between black pitchers and white pitchers in earned-run average.

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