This tool queries LaLiga Fantasy's API for historical data on players, prices, scored points and other metadata to build dashboards and insights around the game.
Required ENV vars are: DATABASE_URL, USERNAME (email), PASSWORD,
LEAGUE_ID and MANAGER_ID.
A config map (named config.edn) under the resources folder in the
classpath can also be specified.
Username and password refer to LaLiga Fantasy credentials, and the database URL is a JDBC type URL.
LaLiga Fantasy access tokens are valid for 24 hours.
Run the REPL.
Call another entrypoint, via :exec-fn:
$ clojure -X:healthcheck
Run the project directly, via :main-opts (-m laliga-fantasy.main):
$ clojure -M:run-m
Run the project's tests:
$ clojure -T:build test
Run the project's CI pipeline and build an uberjar:
$ clojure -T:build ci
Run that uberjar:
$ java -jar target/laliga-fantasy-tool-0.1.0-SNAPSHOT.jar
If you remove version from build.clj, the uberjar will become
target/laliga-fantasy-tool-standalone.jar.
The main idea is to fetch and analyse metrics of all of LaLiga's players to determine their value (price vs performance) and their market trend (buy low, sell high). LaLiga's market dynamics are quite simple and it is easy to estimate trends and fitting curves for any given player's market value.
Lineup picker (using pyomo)
clojure -X:picker
Using constraint programming and taking into account the current available players in the squad, the lineup picker will yield the most efficient lineup. The objective function is to maximise the sum of average points across players, with the following constraints:
- 11 players
- No injured or suspended players
- One goalkeeper
- One of the following formations:
- 3-4-3
- 3-5-2
- 4-3-3
- 4-4-2
- 4-5-1
- 5-3-2
- 5-4-1
Premium formations such as 5-2-3, 4-6-0, etc are not supported.
Obviously, sometimes players can simply sit one out and rest and there is no way of knowing in advance, but this lineup picker would always choose the best players in the long run.
Buyout clauses expiration times are clearly visible, down to the minute. Hours and minutes are not shown in the UI, but they're present in the JSON response.
A direct product of buyouts and line up analysis.
This shows the number of players per position for each manager. The goal is to find available players (without buyout clause lock) that would leave out their manager with an invalid line up (and therefore without the possibility of scoring any points in that particular fixture).
In any case, the manager will always have a minimum of 24h to find a substitute (either from the League's market, or by buying out a player from another manager).
This part is crucial to determine the other players' cash amount and things like your own profit margins.