GitHub - nout-kleef/neural-net-football: Programmed a feedforward neural network in Javascript and Python to (attempt to) predict the outcome of football (soccer) matches.
![A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification | Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification | Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports](https://dl.acm.org/cms/asset/18f87d3f-6288-41e4-b025-835a3038a0ec/3552437.3555691.key.jpg)
A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification | Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports
![PDF] Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer | Semantic Scholar PDF] Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/527d9f5a2552421d9f83711a35823d563e287c9b/5-Figure4-1.png)
PDF] Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer | Semantic Scholar
![From left to right: input image, the ground truth, prediction of the... | Download Scientific Diagram From left to right: input image, the ground truth, prediction of the... | Download Scientific Diagram](https://www.researchgate.net/publication/337682234/figure/fig3/AS:831730034421761@1575311301238/From-left-to-right-input-image-the-ground-truth-prediction-of-the-neural-network-and.jpg)
From left to right: input image, the ground truth, prediction of the... | Download Scientific Diagram
![PDF] Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer | Semantic Scholar PDF] Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/527d9f5a2552421d9f83711a35823d563e287c9b/3-Figure1-1.png)
PDF] Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer | Semantic Scholar
GitHub - uditsharma29/soccer-result-prediction-using-rnn: This project investigates the use of Recurrent Neural Networks to predict the outcome of a soccer match. The problem is formulated as a time series problem and based on
![computer vision - How is it possible that deep neural networks are so easily fooled? - Artificial Intelligence Stack Exchange computer vision - How is it possible that deep neural networks are so easily fooled? - Artificial Intelligence Stack Exchange](https://i.stack.imgur.com/pBm48.png)
computer vision - How is it possible that deep neural networks are so easily fooled? - Artificial Intelligence Stack Exchange
![Predicting the Market Value of FIFA Soccer Players with Regression | by Tan Pengshi Alvin | Towards Data Science Predicting the Market Value of FIFA Soccer Players with Regression | by Tan Pengshi Alvin | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*CR0ec-gowB583cq4Ed2IrQ.jpeg)
Predicting the Market Value of FIFA Soccer Players with Regression | by Tan Pengshi Alvin | Towards Data Science
GitHub - jacekm-git/BetBoy: Artificial neural networks for predicting results of football(soccer) matches.
![The use of machine learning in sport outcome prediction: A review - Horvat - 2020 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library The use of machine learning in sport outcome prediction: A review - Horvat - 2020 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library](https://wires.onlinelibrary.wiley.com/cms/asset/68270e0c-15ca-4278-b15c-cadf470339bd/widm1380-toc-0001-m.jpg)
The use of machine learning in sport outcome prediction: A review - Horvat - 2020 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library
![Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data | Scientific Reports Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-022-19948-1/MediaObjects/41598_2022_19948_Fig1_HTML.png)