About Matchstat.com
Welcome to Matchstat.com, your ultimate destination for insightful sports predictions and head to head stats analysis. Our journey began in 2001, born from a passion for sports and a knack for accurate tennis predictions. Our award winning website serves sports enthusiasts, bettors, and fans around the globe, offering unmatched predictions and insights into the world of sports.
Our Mission
Matchstat.com was founded by a group of sports analysts and enthusiasts who believed in the power of reliable data-driven predictions. We started with a simple mission: to provide our members with the most accurate, insightful, and comprehensive sports analyses, backed up by over 60 years of data.
Our Services
- Daily Predictions & Picks: We provide daily predictions across a variety of sports, including football, basketball, tennis, and more. Our predictions are backed by detailed analysis and statistical data to give you the edge.
- In-depth Analyses: Beyond predictions, we delve deep into game analyses, player performances, and strategic insights, helping fans understand the nuances of each match.
- Betting Tips: For those interested in sports betting, our expert betting tips are invaluable. We analyze odds, track historical performance, and offer strategies to maximize your betting success.
- Custom Alerts: Stay ahead of the game with our custom alert system. Receive notifications for upcoming matches, prediction updates, and breaking news in your favorite sports.
- All the tennis head to head stats on our website are available to use on your own website or application. Check out the tennis API here.
Our Awards
Our commitment to excellence for over 20 years has not gone unnoticed. Matchstat.com has been honored with several website awards, and we are always in the conversation when sports predictions are being discussed:
- Best Tennis Prediction Blog: Recognized for our accurate predictions and comprehensive coverage across multiple sports but particularly tennis.
- Innovation in Sports Analytics: Awarded for our use of advanced analytics and machine learning techniques to improve prediction accuracy.
