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README.md
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# Podos v1 Baseline
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Podos is a small baseline transformer model for soccer match prediction.
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## Model Details
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### Model Description
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- **Developed by:** Bettensor | Nickel5
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- **Model type:** Pytorch Transformer
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- **Parameters** 276K parameters
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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Podos predicts soccer match outcomes based on 23 input parameters including sportsbook odds, recent team performance, win/loss streak, and more.
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### Direct Use
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### Downstream Use
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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Model is available to use with Bettensor at https://github.com/Bettensor/bettensor
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## Bias, Risks, and Limitations
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podos v1 presents some home team bias, and may provide overconfident scores to its predicted outcome.
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### Recommendations/Future work
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### Training Data
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Model was trained on 100,000 games with 569 individual teams.
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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## Model Card Authors
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# Podos v1 Baseline
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Podos is a small baseline transformer model for soccer match prediction.
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## Model Details
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### Model Description
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- **Developed by:** Bettensor | Nickel5
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- **Model type:** Pytorch Transformer
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- **Parameters** 276K parameters
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## Uses
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Podos predicts soccer match outcomes based on 23 input parameters including sportsbook odds, recent team performance, win/loss streak, and more.
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### Direct Use
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### Downstream Use
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Model is available to use with Bettensor at https://github.com/Bettensor/bettensor
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## Bias, Risks, and Limitations
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podos v1 presents some home team bias, and may provide overconfident scores to its predicted outcome.
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### Recommendations/Future work
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### Training Data
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Model was trained on 100,000 games with 569 individual teams.
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- data source: https://www.football-data.co.uk/downloadm.php
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## Model Card Authors
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