Search Results for:

Explanatory value of Exit Velocity data
Overview Beginning with the 2015 season, Major League Baseball began capturing and publishing Statcast data, which uses state...
Posted on February 20, 2018
R: Web Scraping NBA Statistics
This is my second project. A project focused on web scraping and producing models and insights too viewers...
Dev Dabbara
Posted on December 13, 2017
Analyzing and Predicting European Soccer Match Outcomes
Introduction Soccer, in my opinion,  is not only  the most popular but  the  best sport in the world....
Efezino Erome-Utunedi
Posted on October 18, 2017
ATP Data Visualization - Identifying the Great Players of Tomorrow
Introduction The Association of Tennis Professionals (ATP) is the premier professional men’s tennis league and is one of...
Henry Crosby
Posted on October 16, 2017
BEAT THE BOOKS | An Exploratory Data Analysis into NFL Statistics
INTRODUCTION The mission: making more informed, “better” decisions when placing wagers on NFL football games. In order to...
Andre Toujas
Posted on August 29, 2017
UFC Data Scrape using R (UFC Data Analysis Part I)
Introduction: As an amateeur martial artist, I’m interested in the various styles, like Wing Chun, Krav Maga, Jiu...
Jian Qiao
Posted on August 24, 2017
UFC Data Analysis - Shiny App ( UFC Data Analysis Part II)
Introduction: After successfully scraping and cleaning all the data I needed from my last post (UFC Data Scrape...
Jian Qiao
Posted on August 24, 2017
Scraping Mobafire for the best champion.
E-sports have gained a lot of popularity in the last few years. League of Legends (LOL) is one...
Posted on May 21, 2017
NBA Teams: How Do Eventual Conference Finalists Perform in the Regular Season?
Note: Please also check out my Shiny app which will have an interactive box plot on individual statistics, as well...
Kai Chan
Posted on May 1, 2017
Soccer Betting Analysis - How to use betting agencies odds to predict match results?
Introduction As a soccer fan with 3 years of work experience as a live soccer match analyst, I...
Chen Trilnik
Posted on April 29, 2017
Scraping NBA 3 Point Shooting Statistics
Motivation Previously, I wrote about the 3-point shooting trend in NBA in recent years, and showed statistical analysis...
Werner Chao
Posted on April 6, 2017
Predicting Player Performance for Daily Fantasy Sports
According to FanDuel and DraftKings, daily fantasy sports are games of skill and not luck. The outcome of...
Royce Ho
Posted on March 30, 2017
NBA Data Exploratory – Is 3-Point Shooting Just a Hype?
Introduction Over the past 3 years or so, because of one team, Golden State Warriors, and one man,...
Werner Chao
Posted on March 13, 2017
Hut, Hut, Hut, Scrape! Scraping 35 years of College Football Player Statistics
This serves as the next phase in building my NFL Draft Outcome Prediction Tool. Previously I collected 30...
Marc Fridson
Posted on February 21, 2017
Web Scraping NBA Stats
As the NBA season reaches the half-way point near the All Star break, I become more interested in...
Royce Ho
Posted on February 19, 2017
NFL Draft Analysis: 30 years of Player Outcomes
The best predictor of the future is the past. Thus the first step to building a tool that...
Marc Fridson
Posted on February 6, 2017
The Case of the Missing Offense
Contributed by Emil Parikh. He is currently in the NYC Data Science Academy 12-week, full-time Data Science Bootcamp program taking place...
Emil Parikh
Posted on February 1, 2017
NBA Stats (1947-2015)
Contributed by Taraqur Rahman. He is currently in the NYC Data Science Academy 12 week full time Data...
Posted on May 14, 2016
Dome Team Performance in the NFL
Contributed by Daniel Donohue.  Daniel was a student of the NYC Data Science Academy 12-week full-time data science bootcamp program...
Daniel Donohue
Posted on November 5, 2015