🏀Revolutionizing Hoops' Analysis: Announcing StatSharp’s New Advanced Stats
Advanced Sports Betting Analytics
Subscribe to our email list and stay ahead of the game with cutting-edge analytics, insider trends, and actionable stats you won’t find anywhere else.
SHARE
Advanced Player Statistics
FOR IMMEDIATE RELEASE January 8, 2025
StatSharp Unveils Powerful New Player Stats Coverage with Possession-Based Analytics for NBA and College Basketball
StatSharp, a leading sports analytics platform, is proud to announce the launch of its latest feature: Player Stats Coverage with Possession-Based Statistics. This groundbreaking addition offers sports handicappers, analysts, fantasy players, media, and basketball enthusiasts unparalleled access to performance metrics for both NBA and college basketball athletes. From advanced shot efficiencies to detailed matchup breakdowns, StatSharp’s new feature is set to revolutionize how basketball data is examined and utilized in real time.
Key Highlights:
Customizable Stats Search: Filter by home games, conference matchups, or multiple past seasons to pinpoint the scenarios you care about.
Flexible Views: Toggle between possession-based numbers, per-game averages, season totals, or per-minute figures.
Sorting Options: Organize data by metrics like PPG, Usage Percentage, Turnover Percentage, Offensive Rating, and more.
In-Depth Matchups: See opponents’ player stats for each upcoming game, highlighted to showcase top performers or struggling players.
About StatSharp
Since launching in September, StatSharp has been synonymous with innovative sports analytics, empowering sports handicappers, fantasy game participants, media professionals, and fans with actionable data they can trust. We continuously strive to expand and refine our platform, ensuring that basketball enthusiasts from every corner of the world have the tools they need to make informed decisions.
Traditional basketball box scores revolve around points, rebounds, and assists. While these can provide a general sense of a player’s performance, they often fall short in capturing overall impact and efficiency. Possession-based statistics aim to fill this gap by measuring contributions on a per-possession basis or by contextualizing individual actions within the flow of team offense and defense.
From a betting standpoint, advanced stats offer nuance that simple averages cannot match. Whether you are handicapping a full game or analyzing player prop bets, understanding usage rates, efficiency, and other advanced data points can give you an edge in predicting outcomes. Below, you will find descriptions of key stats, why they matter, how to interpret them, and strategies for applying them to game handicapping and player prop handicapping.