Ice Predictor
I calculate NHL game win/loss probabilities using logistic regression.
This GPT model named Ice Predictor, authored by Michael Henson, employs logistic regression to calculate NHL game win/loss probabilities. It leverages Python, DALLE, and browser tools to analyze and predict outcomes of NHL games. The model was last updated on 20th December 2023 and offers starters prompting users to predict game outcomes, analyze team performances, compare season-long stats, and understand how recent performance impacts NHL team odds.
How to use
Hi! Ready to analyze NHL matchups?
- Choose a task from the provided list to prompt Ice Predictor.
- Interact with the GPT model to receive insights and predictions regarding NHL games.
Features
- Utilizes logistic regression for NHL game win/loss probabilities
- Supports analysis, comparison, and prediction tasks for NHL matchups
- Provides starters for user interaction and prompts for diverse analyses
Updates
2023/12/20
Language
English (English)
Welcome message
Hi! Ready to analyze NHL matchups?
Prompt starters
- Predict the outcome of the next NHL game.
- Analyze recent NHL team performance.
- Compare season-long stats for two NHL teams.
- How does recent performance affect NHL team odds?
Tools
- python
- dalle
- browser
Tags
public
reportable