Expanding Plus- Minus for Visual and Statistical Analysis of NBA Box-Score Data IEEE VIS 2013 Workshop on Sports Data Visualization Rob Sisneros, Mark.

Slides:



Advertisements
Similar presentations
1 Unit F: Effectively Managing Business Transactions Lesson 1: Understanding Business Expenses.
Advertisements

UNIT 8: Statistical Measures
Unit 1.1 Investigating Data 1. Frequency and Histograms CCSS: S.ID.1 Represent data with plots on the real number line (dot plots, histograms, and box.
Splash Screen. Lesson Menu Five-Minute Check (over Lesson 11–1) CCSS Then/Now New Vocabulary Key Concept: Symmetric and Skewed Distributions Example 1:
Live by the Three, Die by the Three? The Price of Risk in the NBA Matthew Goldman, UCSD Dept. of Justin M. Rao, Microsoft Research,
Optimization of Batting Order Frank R. Zheng. A Quick Introduction to Baseball  Two teams alternate batting and fielding.  Batting team tries to score.
GameRank: Ranking and Analyzing Baseball Network Zifei Shan, Shiyingxue Li, Yafei Dai
Stages of Team Development “Pro Sports Style” Created by The University of North Texas in partnership with the Texas Education Agency.
BASKETBALL. Basketball  Basic Rules  Offense  Defense  Court and Positions  Techniques  Red is input.
Using the Literature to Make Decisions. Objectives The student will identify information based questions from a clinical scenario. The student will classify.
Unit 6B Measures of Variation.
Games we Play.
MSS 905 Methods of Missiological Research
Proposed Curriculum: Math, Science and Sports Hunter and Aaron Education 200 ‘06 Spring Curriculum Project Trinity College.
SECONDARY: GAMES AND ACTIVITIES. SECONDARY: GAMES GAMES WERE DEVELOPED TO PRACTICE ON FUNDAMENTAL MOTOR SKILLS GAMES WERE DEVELOPED TO PRACTICE ON FUNDAMENTAL.
Statistics: Use Graphs to Show Data Box Plots.
Leadership Playbook. “I. “ TOGETHER EVERYONE ACHIEVES MORE” -----Author Unknown What Makes a Great Team? 1. Knowledge 2. Cooperation 3. Flexibility 4.
1.  Experiential learning  Sports Day preparation  Reflection  Workshop 1  Extracting the Topic  Organizing the Idea  Workshop 2  Delivery  Presentations.
Enterprise Risk Management in Insurance Groups July 11, Enterprise Risk Management in Insurance Groups: Measuring Risk Concentration and Default.
SOCIAL FACTORS Lesson 5. Teamwork involves working confidently within a group, contributing your own ideas effectively, taking a share of the responsibility.
Bring your TCAP foldable and your comp book each day to class. TCAP QUIZ ON FRIDAY!!!!!
Leadership Play Book Copyright © Texas Education Agency, All rights reserved.
Lecture 12 Statistical Inference (Estimation) Point and Interval estimation By Aziza Munir.
UNIT 8:Statistical Measures Measures of Central Tendency: numbers that represent the middle of the data Mean ( x ): Arithmetic average Median: Middle of.
 Tsung-Sheng Fu, Hua-Tsung Chen, Chien-Li Chou, Wen-Jiin Tsai, and Suh-Yin Lee Visual Communications and Image Processing (VCIP), 2011 IEEE, 6-9 Nov.
Name: Angelica F. White WEMBA10. Teach students how to make sound decisions and recommendations that are based on reliable quantitative information During.
Research & Statistics Looking for Conclusions. Statistics Mathematics is used to organize, summarize, and interpret mathematical data 2 types of statistics.
STATISTICS Kyle Javos. DEFINITION  Mathematical statistics is using probability theory, algebra and analysis to determine a set of data  Mathematical.
Basketball History, Technique, and Rules. Basketball History In 1891, Dr. James Naismith, a Canadian minister on the faculty of a college for YMCA professionals.
Basketball Stats Jeremy Lin is a point guard. And a point guard plays an important role on the basketball team. In some ways, the point guard is like.
Chapter 21 Basic Statistics.
Sports Communication Introduction Sports communication is very important in a game, especially in a basketball game. Without communication each team.
QUANTITATIVE RESEARCH AND BASIC STATISTICS. TODAYS AGENDA Progress, challenges and support needed Response to TAP Check-in, Warm-up responses and TAP.
Summary Five numbers summary, percentiles, mean Box plot, modified box plot Robust statistic – mean, median, trimmed mean outlier Measures of variability.
Parent Leadership Team Meeting Intro to RtI.  RtI Overview  Problem Solving Process  What papers do I fill out?  A3 documenting the story.
REVIEW OF UNIT 1 1) The table displays the number of videos rented. Number of Videos Rented Number of Families a. How many families.
Piedmont Girls Soccer “There is no “I” in team but there is in win” ~ Michael Jordan.
By: Jim Ogle Charles Henkel Kyle Marcangelo.  We are trying to find what team would win in a hypothetical game based on their stats for the
Basketball It was invented in 1891 by an American teacher because his students were bored. Maybe it looked a bit strange:
The use of statistics in psychology. statistics Essential Occasionally misleading.
Basketball History, Technique, and Rules. Basketball History In 1891, Dr. James Naismith, a Canadian minister on the faculty of a college for YMCA professionals.
Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology Advisor : Dr. Hsu Graduate : Yu Cheng Chen Author: Manoranjan.
Leadership Play Book Copyright © Texas Education Agency, All rights reserved.
The Boston Celtic’s current star, Paul Pierce versus the Boston Celtic’s legend Larry Bird. Which player is the greatest pure scorer in Celtics history?
Unit 4 Lesson 5 Demonstrating Mastery M.8.SP.1 To demonstrate mastery of the objectives in this lesson you must be able to:  Construct and interpret.
An essential part of workplace success!
Leadership Play Book Copyright © Texas Education Agency, All rights reserved.
Offensive Strategy BASKETBALL.
Culminating Project EDUC 3200 Instructional Tech-Media Instructor Brown Presented by: DeShone O. Watson.
Controlling for Context S. Burtch © Traditional Points Plus/Minus Faceoffs Real Time Stats (hits, blocked shots, takeaways/giveaways) Ice Time.
Leadership Play Book Copyright © Texas Education Agency, All rights reserved.
With Raymond Dougherty  The major worldwide sports include:  Soccer  Football  Basketball  Baseball  Hockey  Lacrosse  Field Hockey.
Collecting and Processing Information Foundations of Technology Collecting and Processing Information © 2013 International Technology and Engineering Educators.
YOUR MISSION AS A FOOTBALL COACH. Vision 100 players on the Varsity/JV Team and another 50 on the Freshman Team All players are highly motivated to excel.
Warm up. 1.3 Five number summaries and Box Plots I can calculate quartiles, interquartile, range and 5 number summary of a data set. Note: Quartiles.
Chapter 3: Describing Relationships
The inference and accuracy We learned how to estimate the probability that the percentage of some subjects in the sample would be in a given interval by.
Experience the Common Core Math Classroom Common Core Summer Institute August 7, 2013.
He was born on June 7, 1975 in Hampton, Virginia. Allen grew up in the projects as the son of a 15 year old single mother.
Lopez – MA 276 MA 276: Sports and statistics Lecture 2: Statistics in baseball 0.
Report on the sport: Student work: Grade: ubmit to the teacher:
Splash Screen.
Splash Screen.
Leadership Play Book.
Relative Standing and Boxplots
Multilevel Modeling in Hockey Analytics: Untangling Individual and Team Performance In Even-Strength, Power Play, and Short Handed Situations Sophie Jablansky.
Introduction - Sports Day?
School of Computing Science
Tukey Box Plots Review.
Presentation transcript:

Expanding Plus- Minus for Visual and Statistical Analysis of NBA Box-Score Data IEEE VIS 2013 Workshop on Sports Data Visualization Rob Sisneros, Mark Van Moer, National Center for Supercomputing Applications

A player’s plus-minus is calculated as the difference of his team’s and the opposing team’s points while he is on the floor. Player efficiency rating (PER) is a single-number measure of how many “good” things a player does minus the “bad” things a player does per unit of playing time. Undervalue defensive specialists or other players whose presence is valuable but unaccounted. Motivation System Overview Future Work Conclusion

1/MP, all contributions are divided by a player’s minutes played. Unfairly toward players with low playing time, though rankings are only provided for those with some minimum amount of minutes. Plus-minus is not normalized, and maybe shouldn’t be. Motivation System Overview Future Work Conclusion

Does plus-minus reflect a player’s contribution, or those of his teammates? Does a talented sixth-man have an unfair advantage given that he plays against the opposing team’s second unit? How much does “trash time” skew plus-minus? (trash time: when the game is a rout, and any action on the court has little impact on the game’s outcome) Motivation System Overview Future Work Conclusion

PLUMP: The Plus-Minus Plot Games with the same point margin are binned together. Vertical range for the assists is then the highest and lowest assist totals for these bins. Motivation System Overview Future Work Conclusion

(i)these are the players contributing the stats that matter most to a team, but if a team is terrible, these may be the wrong stats. (ii) probabilities in our calculations may be outside of the range [0, 1]. (iii) the best player on a bad team is not necessarily and is unlikely to be “better” than several of the best players on the best teams. Motivation System Overview Future Work Conclusion

The Win-Contribution Metric Ranks defensive players considerably higher. All-Defensive First Team member Tony Allen is widely considered a great perimeter defender and is a perfect example. His win-contributions rank him 61st versus 167th and 197th via his ESPN rating and PER. Motivation System Overview Future Work Conclusion

Analyze dependencies among box-score statistics would increase the mathematical robustness of our techniques and could lead to better results. The core concepts be directly applicable to other sports. Extend analysis of NBA data to incorporate more complicated data. For instance, by tracking statistics for distinct sets of five man units we can adjust calculations to better represent a player’s true contribution. Motivation System Overview Future Work Conclusion

(i) A specialized tool for visualizing the plus-minus of team statistics (PluMP) (ii) A new metric for evaluating the win- contribution of a player based on statistics most relevant at the team level (WC). Motivation System Overview Future Work Conclusion