https://github.com/cair/sports-prediction
https://github.com/cair/sports-prediction
Last synced: 29 days ago
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- Host: GitHub
- URL: https://github.com/cair/sports-prediction
- Owner: cair
- Created: 2017-12-14T11:09:10.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-12-18T20:08:15.000Z (over 7 years ago)
- Last Synced: 2025-02-04T21:45:10.206Z (3 months ago)
- Language: Python
- Size: 413 KB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# README #
A $$$$$$ maker machine
### Main repository for a get rich NN / Naive Bayes Machine. ###
* Nobody knows how it works
* It divides something by something and gets a number or some other fancy math stuff. Something about probability and neurons or something.
* It is advised to use this number to bet on a tippeliga match, to make money.
### DATABASE ###
**MATCH_SETUP**
Key | Val
------------- | -------------
matcid | A unique key matching a specific match present in *db.match*
home_team | A json-string (dictionary) containing the home players and their respective individual rank (integer) at the present time (matchday)
away_team | Same as above, for the away team.
*Each player-id is queriable to the *db.players* table, with additional player information.*
**season_breakdown**
Key | Val
------------- | -------------
year | The current season year
sum_matches | Number of matches played this season
home_victory | How many in percentage was won by the home-team decimal-percentage.
tied_victory | How many of the matches was a tie, decimal percentage.
away_victory | Hoe many of the matches was won by the away-team decimal percentage.
total_goals | How many goals was scored this season
total_self_goals | How many of these goals was self-goals decimal percentage.
home_goal_percentage | How many of the goals belongs to the home-team.
away_goal_percentage | How many of the goals belongs to away team.
goals_average | How many goals is average each match.
home_team_goal_breakdown | How many goals did the home-team score (avg) in decimal percentage py-list serialized json.
away_team_goal_breakdown| How many goals did the away team score (avg) in decimal percentage py-list serialized json.
### Who do I talk to? ###
* Ser helst du lar vær og snakke med noen.