DataSpace Creation
This guide will walk you through the steps required to create a basic DataSpace in SportWise. The example used will result in a DataSpace that displays NHL Player Info with NHL Player Injuries.
- Data selection
- Join creation
- DataSpace use
- Add, hide, filter and sort columns
- CSV export
- Create and save DataSpace views
Yahoo Fantasy Integration
Integrating your Yahoo Fantasy Sports account with SportWise provides access to daily updated data sets, which can be customized and filtered to gain valuable insights into your fantasy league. This can give you a competitive edge in tracking player trends, analyzing team performance, and identifying sleeper picks.
Historical Data
SportWise offers data sets dating back to 2017 for NFL, NBA, MLB, and NHL. These historical data sets can provide valuable insights into past performances and trends for fantasy league enthusiasts and sports analysts alike.
Advanced Join Guide
Joining your data in SportWise is super useful to get hard-to-find information about players, teams, and you fantasy rosters. Once you build the Joins for your DataSpace once, you can return to the DataSpace daily for the latest information. This guide will explain what a join is, the factors that go into a join, and will walk you through an example so you can successful build a DataSpace utilizing Joins.
Calculated Columns
Custom Calculated Columns in SportWise allow you to easily create min, max, sum, mean, median and standard deviation using values from multiple or single columns.
Player Injury Analysis
Combining Joins and player stats data sets within SportWise can be an effective strategy for identifying replacement players in your fantasy league. By filtering and analyzing this data, you can pinpoint potential replacements who have the potential to outperform their current projections and gain a competitive advantage.
Finding Fantasy Sleepers
Using Joins and Custom Calculated Columns within SportWise can help you find Sleepers in your Fantasy League by merging data sets and performing advanced analysis to identify undervalued players who may outperform their projections.