https://github.com/miozilla/bqmlsoccer

bqmlsoccer :soccer::brain::books: : Soccer Data BigQuery ML | BQML, Data-driven Performance Evaluation & Player Ranking in Soccer via Machine Learning Approach |
https://github.com/miozilla/bqmlsoccer

aggregate analytics angle auc bq distance evaluation exponentiation goal insight inverse-cosine logistic-regression loss metrics ml model predict roc shot square-root

Last synced: 9 days ago
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bqmlsoccer :soccer::brain::books: : Soccer Data BigQuery ML | BQML, Data-driven Performance Evaluation & Player Ranking in Soccer via Machine Learning Approach |

• Host: GitHub
• URL: https://github.com/miozilla/bqmlsoccer
• Owner: miozilla
• Created: 2026-05-07T10:07:46.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2026-05-07T10:10:49.000Z (about 1 month ago)
• Last Synced: 2026-05-07T12:16:24.086Z (about 1 month ago)
• Topics: aggregate, analytics, angle, auc, bq, distance, evaluation, exponentiation, goal, insight, inverse-cosine, logistic-regression, loss, metrics, ml, model, predict, roc, shot, square-root
• Homepage:
• Size: 1.95 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# bqmlsoccer ⚽🧠📚

bqmlsoccer : Soccer Data BigQuery ML | BQML, Data-driven Performance Evaluation & Player Ranking in Soccer via Machine Learning Approach |

## Objectives

- Write functions in BigQuery to help with calculations to be performed on soccer shot data.

- Create & evaluate "expected goals" models using BigQuery ML.

- Apply expected goals model to "new" data using BigQuery ML.

## BigQuery Machine Learning using Soccer Data