{ "info": { "author": "Andrew Schechtman-Rook", "author_email": "footballastronomer@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7" ], "description": "NFLWin\n===============\n\n|Build Status| |Doc Status|\n\n\nEstimate Win Probability (WP) for plays in NFL games:\n\n.. code-block:: python\n\n >>> import pandas as pd\n >>> from nflwin.model import WPModel\n >>> standard_model = WPModel.load_model()\n >>> plays = pd.DataFrame({\n ... \"quarter\": [\"Q1\", \"Q2\", \"Q4\"],\n ... \"seconds_elapsed\": [0, 0, 600],\n ... \"offense_team\": [\"NYJ\", \"NYJ\", \"NE\"],\n ... \"yardline\": [-20, 20, 35],\n ... \"down\": [1, 3, 3],\n ... \"yards_to_go\": [10, 2, 10],\n ... \"home_team\": [\"NYJ\", \"NYJ\", \"NYJ\"],\n ... \"away_team\": [\"NE\", \"NE\", \"NE\"],\n ... \"curr_home_score\": [0, 0, 21],\n ... \"curr_away_score\": [0, 0, 10]\n ... })\n >>> standard_model.predict_wp(plays)\n array([ 0.58300397, 0.64321796, 0.18195466])\n\nFor full documentation, including information about methods and accuracy, click `here `_.\n\nLicense\n---------------\nMIT. See `license file `_.\n\n.. |Build Status| image:: https://travis-ci.org/AndrewRook/NFLWin.svg?branch=master\n :target: https://travis-ci.org/AndrewRook/NFLWin\n :alt: Build Status\n.. |Doc Status| image:: https://readthedocs.org/projects/nflwin/badge/?version=latest\n :target: http://nflwin.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/AndrewRook/NFLWin", "keywords": "NFL", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "nflwin", "package_url": "https://pypi.org/project/nflwin/", "platform": "", "project_url": "https://pypi.org/project/nflwin/", "project_urls": { "Homepage": "https://github.com/AndrewRook/NFLWin" }, "release_url": "https://pypi.org/project/nflwin/1.0.1/", "requires_dist": null, "requires_python": "", "summary": "A Python implementation of NFL Win Probability (WP)", "version": "1.0.1" }, "last_serial": 6005089, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "4c7f158c815d4a3c71de6e92ce0b4781", "sha256": "27676e964ed7c3508695d87c7480a26cb9656e20758b44bfe8b5f4ca9158896f" }, "downloads": -1, "filename": "nflwin-0.0.1.tar.gz", "has_sig": false, "md5_digest": "4c7f158c815d4a3c71de6e92ce0b4781", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1673200, "upload_time": "2016-08-07T02:50:31", "url": "https://files.pythonhosted.org/packages/5a/9e/90609d301acb517c32f8f936f35ea321fe6a127533b2e8403a6c22540c4c/nflwin-0.0.1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "1f14243e4f9a7a0bc4fbde94398c9857", "sha256": "b8dde8723eedd918ab8398a757e7141655e7e29cad8bc9562a1c6d15159e302f" }, "downloads": -1, "filename": "nflwin-0.0.2.tar.gz", "has_sig": false, "md5_digest": "1f14243e4f9a7a0bc4fbde94398c9857", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1673206, "upload_time": "2016-08-07T02:56:17", "url": "https://files.pythonhosted.org/packages/4a/07/26a5284a89cad5d2eacf0deb95ff4df05d4fce239638dff788496fa1e245/nflwin-0.0.2.tar.gz" } ], "0.1.0": [ { "comment_text": "", "digests": { "md5": "712af9eaf16e060caae53217e1b6c988", "sha256": "8678f8ea7b9b806a2a683f7bb9d02384b931544560672d741b0d5838b81ee46d" }, "downloads": -1, "filename": "nflwin-0.1.0.tar.gz", "has_sig": false, "md5_digest": "712af9eaf16e060caae53217e1b6c988", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1673202, "upload_time": "2016-08-07T19:39:49", "url": "https://files.pythonhosted.org/packages/d9/33/122953693672c400e9def3c070f72d2f3cc1ab55b58a9dc45f0609c4cb03/nflwin-0.1.0.tar.gz" } ], "0.2.0": [ { "comment_text": "", "digests": { "md5": "9b985e1b649843708f4bd145aca69704", "sha256": "809ec8fee7dcac70e99265a8353c9c50420edbaecdb45df06f8a28640d45ec5a" }, "downloads": -1, "filename": "nflwin-0.2.0.tar.gz", "has_sig": false, "md5_digest": "9b985e1b649843708f4bd145aca69704", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1673400, "upload_time": "2016-08-14T02:45:43", "url": "https://files.pythonhosted.org/packages/25/4d/2b3652cfdd67980c960ebb2fbe15831451dbc618e7fc112c0311e356d8c6/nflwin-0.2.0.tar.gz" } ], "1.0.0": [ { "comment_text": "", "digests": { "md5": "d79c6d477ad94f222a3223a5d64f1745", "sha256": "43e58cace0240d82665c33188007f66093615a2134c60a6d43354387ab3a973e" }, "downloads": -1, "filename": "nflwin-1.0.0.tar.gz", "has_sig": false, "md5_digest": "d79c6d477ad94f222a3223a5d64f1745", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1673392, "upload_time": "2016-08-17T01:40:08", "url": "https://files.pythonhosted.org/packages/9e/8a/4833074b7a1d9abaa2b82fb149d724dd10ca2e3e5563f7a1f309b9d71ab7/nflwin-1.0.0.tar.gz" } ], "1.0.1": [ { "comment_text": "", "digests": { "md5": "fc34b2d99df15b082d05477a2717d8aa", "sha256": "4150000168a704bdadc46f5bf5ff78da5a5b973fb1845fd3c091de1e874abe8d" }, "downloads": -1, "filename": "nflwin-1.0.1.tar.gz", "has_sig": false, "md5_digest": "fc34b2d99df15b082d05477a2717d8aa", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 16997, "upload_time": "2019-10-21T00:53:40", "url": "https://files.pythonhosted.org/packages/b4/7e/3560eca964829d67909f8fcb5cc2636a17b28aa243b3d1b2c9d0f08d4007/nflwin-1.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "fc34b2d99df15b082d05477a2717d8aa", "sha256": "4150000168a704bdadc46f5bf5ff78da5a5b973fb1845fd3c091de1e874abe8d" }, "downloads": -1, "filename": "nflwin-1.0.1.tar.gz", "has_sig": false, "md5_digest": "fc34b2d99df15b082d05477a2717d8aa", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 16997, "upload_time": "2019-10-21T00:53:40", "url": "https://files.pythonhosted.org/packages/b4/7e/3560eca964829d67909f8fcb5cc2636a17b28aa243b3d1b2c9d0f08d4007/nflwin-1.0.1.tar.gz" } ] }