{"id":26762119,"url":"https://github.com/quicksilvershanks/ipl-cricpred","last_synced_at":"2025-03-28T18:34:20.622Z","repository":{"id":283807560,"uuid":"952516675","full_name":"quickSilverShanks/IPL-CricPred","owner":"quickSilverShanks","description":"A sports(cricket) analytics project that aims to analyze and predict performance of participating teams in IPL.","archived":false,"fork":false,"pushed_at":"2025-03-22T09:33:18.000Z","size":3,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-22T10:27:05.964Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/quickSilverShanks.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-21T12:10:17.000Z","updated_at":"2025-03-22T09:33:31.000Z","dependencies_parsed_at":"2025-03-22T10:37:25.134Z","dependency_job_id":null,"html_url":"https://github.com/quickSilverShanks/IPL-CricPred","commit_stats":null,"previous_names":["quicksilvershanks/ipl-cricpred"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/quickSilverShanks%2FIPL-CricPred","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/quickSilverShanks%2FIPL-CricPred/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/quickSilverShanks%2FIPL-CricPred/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/quickSilverShanks%2FIPL-CricPred/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/quickSilverShanks","download_url":"https://codeload.github.com/quickSilverShanks/IPL-CricPred/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246081661,"owners_count":20720743,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":"2025-03-28T18:34:20.019Z","updated_at":"2025-03-28T18:34:20.612Z","avatar_url":"https://github.com/quickSilverShanks.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# IPL-CricPred\n\n## Overview\n\nThis is a sports analytics project that aims to analyze past data in order to predict future performance of participating teams in IPL(a format of cricket).\n\u003cbr\u003e\nThe prediction attempts to answer below queries(as motivated from a specific competition, hence the points system):\n\n| Query | Points | Misc. |\n| --- | --- | --- |\n| Winning Team | 20 | Streak: N*5 points |\n| Winner of Toss | 5 | |\n| Player of the match | 10 | |\n| Target Runs | 10 | * |\n| Win Margin | 10 | * |\n| Total Boundaries (4s and 6s) | 10 | Buckets: \u003c20, 20-30, 30-40, \u003e40 |\n| Player # 1 | 2x | * |\n| Player # 2 | 1.5x | * |\n| Player # 3 | 1x | * |\n| Winner of tournament | 100 | |\n\n\n\u003chr\u003e\n\n\n## Task List\n\n- [ ] Use kaggle data to develop a rough baseline model (and few alternatives)\n- [ ] Web scrape past data\n- [ ] Prepare tableau visualizations\n- [ ] Data cleaning\n- [ ] Improved baseline model to predict match winner\n- [ ] Add mlflow based model tracking\n- [ ] Add news analysis/NLP\n\n\u003chr\u003e\n\n\n## Useful Links\n\n- IPL all matches and ball by ball data (2008-2024) : https://www.kaggle.com/datasets/patrickb1912/ipl-complete-dataset-20082020\n- Auction Data \n- Auction Data 2025 : https://www.kaggle.com/datasets/souviksamanta1053/ipl-2025-mega-auction-dataset\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquicksilvershanks%2Fipl-cricpred","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquicksilvershanks%2Fipl-cricpred","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquicksilvershanks%2Fipl-cricpred/lists"}