Live cricket scores and win probability dashboard. Built using Django and CricketData API, featuring dynamic polling, key rotation, and a custom WASP algorithm.
-
Updated
Apr 18, 2026 - Python
#
win-probability
Here are 7 public repositories matching this topic...
Possession-level live win probability model for football using LSTM and GRU on StatsBomb La Liga data, with Poisson goal conversion and proper probabilistic evaluation.
python deep-learning lstm gru poisson time-series-prediction la-liga football-analytics win-probability statsbombpy
-
Updated
Apr 25, 2026 - Jupyter Notebook
Bayesian player ability model for predicting golf win probabilities — time-varying ratings, Bradley-Terry/Glicko, historical PGA Tour data
-
Updated
May 7, 2026 - Python
🏏 IPL T20 Win Probability Predictor - ML-powered live match analytics built with Scikit-learn & Streamlit
python data-science machine-learning scikit-learn sports cricket ipl sports-analytics streamlit t20 win-probability
-
Updated
Mar 29, 2026 - Python
Elo, logistic win probability, Kelly helpers for NBA-style models (PyPI: nba-edge). Pairs with nba-clv-dashboard.
-
Updated
Jun 11, 2026 - Python
Machine learning dashboard for NBA win probability, covering pre-game predictions, live replay, model evaluation, and automated Finals refreshes with Google Cloud.
python nba data-science machine-learning dashboard scikit-learn plotly classification data-pipeline play-by-play sports-analytics cloud-scheduler google-cloud-run streamlit win-probability
-
Updated
Jun 12, 2026 - Python
Improve this page
Add a description, image, and links to the win-probability topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the win-probability topic, visit your repo's landing page and select "manage topics."