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We have to establish what we want our dataset to actually contain.
I have listed a number of potential data sources in the projects README.md.
I think that it is important that we rely on types of data that is up to date and/or can be easily collected in the future e.g.: weather information, or score progression during a match like the left-side panel here which shows play by play actions. In terms of historical and live betting odds I propose this website, for which there already seem to be scrappers we can take inspiration from.
So far I identified these types of data:
- Betting odds
- Match scores
- Play by play series
- Weather data (since it might affect each player differently)
- Player information (https://www.ultimatetennisstatistics.com/playerProfile?playerId=3819)
- Video recordings and live feeds of matches (future)
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