La Quiniela is the name of a Spanish game of chance, managed by Loterías y Apuestas del Estado, which is based on the First and Second Divisions of football.
This program uses information from different sources (betting odds, market value, past results...) to obtain possible outcomes for the current week's fixtures.
Data sources for this project includes:
Models available:
- SVM model
- Random Forest model
- XGBoost model
- Gradient Boosting model
- Neural Network model (default configuration shows acceptable results)
from src.models import QuinielaFillerGBC, QuinielaFillerXGBoost
qf1 = QuinielaFillerXGBoost(liga=1, n_estimators=200, update_data=True)
qf2 = QuinielaFillerGBC(liga=2, n_estimators=200)
qf1.train()
qf2.train()
qf1.save()
# qf1.load("loquesea")
qf = Quiniela(qf1, qf2)
preds = qf.predict_quiniela()
print(preds)
From where we expect an output similar to:
1 08/10/2022 ALM RVA 2 -
2 08/10/2022 ATM GIR 1 -
3 08/10/2022 SEV ATH 2 1
4 08/10/2022 GET RMA 2 -
5 09/10/2022 VAD BET 2 -
6 09/10/2022 CAD ESP 2 -
7 09/10/2022 RSO VIL X -
8 09/10/2022 BAR CEL 1 X
9 08/10/2022 PON GRA 2 -
10 08/10/2022 HUE LUG X -
11 08/10/2022 LPA IBI 1 -
12 09/10/2022 ZAR OVI X -
13 09/10/2022 LEV RCG 1 -
14 09/10/2022 ALB TEN 1 -
15 10/10/2022 ELC MAL 2 -
Similarly to a real Quiniela:
A telegram bot has been deployed for public use: Telegram bot