A $$$$$$ maker 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.
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. |
- Ser helst du lar vær og snakke med noen.