# A study on Machine Learning Approaches for Player Performance and Match Results Prediction

arXiv: https://arxiv.org/abs/2108.10125 · HTML: https://mlsanity.com/paper/2108.10125/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 31 references that are in the map.
- First posted on arXiv 23 Aug 2021.

## Builds on (most cited first, 1 of 1)

- [A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre](https://mlsanity.com/paper/2107.13502/) (2021)

## Built on by (most cited first, 2 of 2)

- [A Privacy-Preserving Outsourced Data Model in Cloud Environment](https://mlsanity.com/paper/2211.13542/) (2022)
- [A smart resource management mechanism with trust access control for cloud computing environment](https://mlsanity.com/paper/2212.05319/) (2022)

## Abstract (arXiv)

Cricket is unarguably one of the most popular sports in the world. Predicting the outcome of a cricket match has become a fundamental problem as we are advancing in the field of machine learning. Multiple researchers have tried to predict the outcome of a cricket match or a tournament, or to predict the performance of players during a match, or to predict the players who should be selected as per their current performance, form, morale, etc. using machine learning and artificial intelligence techniques keeping in mind extensive detailing, features, and parameters. We discuss some of these techniques along with a brief comparison among these techniques.