Order of operations:
- import summary json and:
- extract:
- gw to date map
- player id's
- id to name map
- name to id map
- generate:
- date to gw map
- extract:
- add canonical list of team names to check its a team we've seen in the DB before and have a mapping for
- look into the proportion of their team's goals/assists each player is getting and multiply by expected number of goals for the team to get an expected number of goals and assists for that player.
player_xG, player_xA = team_xG * [player_prop_team_G, player_prop_team_A]
player_xFPL = (
(player_xG * pts_G) +
(player_xA * pts_A) +
(player_xYellow * pts_Yellow) +
(player_xRed * pts_Red) +
)