Search results page
Player's page (with prediction)
Player's page (without prediction)
Machine Learning Statistics page
We have two handball players in our team so we decided to take on this challenge.
What it does
"Handball Prediction" is about easing the life of betting enthusiasts and scouting managers, within one of the Europe's fastest growing sports, by allowing them to make bigger profit with less effort. So the web app predicts the possible performance of the players in each season and the user can see the comparison between the actual and the computed scores.
How we built it
Challenges we ran into
Two things that represented an issue in our team were: parsing the data efficiently and fast from the website, and using git without having merge conflicts. Through teamwork and communication, we managed to overcome these problems.
Accomplishments that we're proud of
We are proud because we worked so efficiently as a team, succeeding to build a completely functional and useful web application in only 24 hours.
What we learned
StudentHack has been a great opportunity to learn new things: some of us started to use Visual Studio Code for the first time, we learned how to work with GitKraken and also how to deal with git merge conflicts. We understood how helpful can Beautiful Soup be when parsing data from the internet. Also, some of us improved their Machine Learning skills.
What's next for Handball Prediction