Author(s)

Hengzhi Chen

Bashu Secondary School, Chongqing, China.

Nowadays, when people want to predict the result of a football match, most of them just refer to their own experience or some specialists’ opinions. However, since artificial intelligence is very good at analyzing big data, it is more and more used to predict the result instead of one’s experience in order to approach the accuracy. There are three typical algorithms—convolutional neural network (ANN), random forest (RF) and support vector machine (SVM). In this paper, these three algorithms are all applied to predict the result of a football match, and the accuracy of them is also compared.

Convolutional Neural Network, Football Match Prediction, FIFA

Chen, H. (2019) Neural Network Algorithm in Predicting Football Match Outcome Based on Player Ability Index. Advances in Physical Education, 9, 215-222. doi: 10.4236/ape.2019.94015.