{"id":20196361,"url":"https://github.com/gpavanb1/cricketworldcup19_ml","last_synced_at":"2026-06-04T18:31:39.763Z","repository":{"id":35586398,"uuid":"190853403","full_name":"gpavanb1/CricketWorldCup19_ML","owner":"gpavanb1","description":"Machine learning on Cricket World Cup 2019 data","archived":false,"fork":false,"pushed_at":"2022-12-08T05:14:19.000Z","size":13,"stargazers_count":1,"open_issues_count":5,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-03T08:14:08.278Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gpavanb1.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-06-08T06:23:50.000Z","updated_at":"2020-01-11T05:11:57.000Z","dependencies_parsed_at":"2023-01-16T00:18:06.103Z","dependency_job_id":null,"html_url":"https://github.com/gpavanb1/CricketWorldCup19_ML","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/gpavanb1/CricketWorldCup19_ML","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gpavanb1%2FCricketWorldCup19_ML","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gpavanb1%2FCricketWorldCup19_ML/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gpavanb1%2FCricketWorldCup19_ML/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gpavanb1%2FCricketWorldCup19_ML/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gpavanb1","download_url":"https://codeload.github.com/gpavanb1/CricketWorldCup19_ML/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gpavanb1%2FCricketWorldCup19_ML/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33916320,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-04T02:00:06.755Z","response_time":64,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-14T04:23:37.909Z","updated_at":"2026-06-04T18:31:39.742Z","avatar_url":"https://github.com/gpavanb1.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CricketWorldCup_ML\n\n![Made with Love in India](https://madewithlove.org.in/badge.svg)\n\nThis repository contains codes where \ndifferent predictive techniques \nhave been applied to the Cricket World Cup\n2019 data\n\n## Modules \n\n* Predicting pool stage outcome using \nMonte Carlo method - the prior is based \non the performance of teams in the last \n10 matches against each other\n\n## How to install and execute\nInstall the requirements using `pip install -r requirements.txt`\n\nOnce completed successfully, just run `main.py`\n\n## Sample Output\n\nThis section outlines the sample outputs\nfrom various modules in the repository\n\n### Pool Stage Monte-Carlo\n\nFollow the discussion on [Reddit](https://www.reddit.com/r/Cricket/comments/bzss0o/semis_prediction_table/?utm_source=share\u0026utm_medium=web2x)\n\n```\n+--------+---------------+\n| Team   |   Probability |\n|--------+---------------|\n| IND    |     0.9725    |\n| ENG    |     0.9296    |\n| NZ     |     0.850033  |\n| AUS    |     0.583133  |\n| PAK    |     0.2924    |\n| WI     |     0.1317    |\n| RSA    |     0.0997333 |\n| SL     |     0.0813    |\n| BAN    |     0.0596    |\n+--------+---------------+\n```\n\n## Whom to contact?\n\nPlease direct your queries to either [gpavanb1](http://github.com/gpavanb1)\nfor any questions. Credits to [ABK](), [Cricbuzz](http://cricbuzz.com) \nand [Cricinfo](http://cricinfo.com) for the web-scraping.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgpavanb1%2Fcricketworldcup19_ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgpavanb1%2Fcricketworldcup19_ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgpavanb1%2Fcricketworldcup19_ml/lists"}