Unlock Past Seasons with Historical Data
Access historical seasons of sports datasets that include game-by-game team & player stats with betting odds, DFS, and play-by-play data from major sports leagues. All organized and formatted for Excel which makes easy to spot trends, anomalies, and filter games by dates, spreads, totals, opponents, or any data point to your liking.Explore Sports Datasets
In-season Sports Data, Delivered Daily
In-season plans get updated every night and deliver the latest game data straight to your device each midnight. No need to spend time for collecting, cleaning data: Just open Excel and start your analysis.Access In-Season Data
Master Your Sports Schedule
Download a simple Excel spreadsheet with every game’s date, local start time, home/away tag and venue. Use it to mark key matchups, book tickets or plan watch parties.Get Schedule Spreadsheets
In 2010, we have begun our sports data journey by only covering the NBA data under our NBAstuffer brand for a small group of researchers who were in need of sports data. Throughout the years, our users have encouraged us to extend to other sports which led us to start a new spin-off project, “BigDataBall” in 2014.
After years of preparation, we have been able to add;
- WNBA datasets in 2017
- NFL data in 2017
- MLB datasets in 2018
- NHL data in 2019
- WTA & ATP tennis datasets in 2022
- NCAA Men’s basketball datasets in 2023
- European Football / soccer datasets in 2023, featuring English Premier League, German Bundesliga, Italian Serie A, French Ligue 1, and Spanish La Liga.
- NCAA Men’s football datasets in 2024
respectively.
How to Utilize Sports Data As An Individual
While professional analysts and teams can acquire a large amount of sports data using sophisticated software and databases, the average sports fan likely does not have access to these resources. But if you have a fundamental understanding of Excel, you can leverage BigDataBall’s cleaned-up and enriched data to gain valuable insights about the sports you’re interested in.
Finding the right dataset containing the data you wish to analyze is the initial step. With all BigDataBall datasets a small sample made available for free, open it in Excel and make sure that it contains all the columns you require before purchasing.
After that, you can manipulate the data and conduct analysis with the help of Excel, Google Spreadsheets, or R. For instance, you can use the SUM function to determine the total number of points scored by a player or team, or you can use the AVERAGE function to determine the average number of points scored throughout all games. You can also use the pivot tables in Excel to group data and summarize it, and you can use it to create charts and graphs to represent the data in a variety of different ways.
You will be able to begin exploring the data and searching for patterns, trends, and anomalies. Let’s say you might want to discover a particular player who has a high shooting percentage from the corners on the court, or a team typically allows more points when they play the second leg of play back-to-back. These insights can assist you in gaining a deeper comprehension of the players and teams, allowing you to make more educated projections on upcoming games.
The use of sports data in Excel can, all things considered, be an entertaining and rewarding approach to identifying the unseen.
Quick Responses
When you need help, BigDataBall customer support team offers a solution guarantee in 12 hours or less.