Overwatch League Score Predictor

A custom bayesian network model for predictions.

Predicts past and future matches based on the data parsed from the official overwatch league api (api.overwatchleague.com/).

Prediction Accuracy on OWL 2019 Stage 2 Games:

• Average Win/Lose Accuracy - 74%
• Average Match Score Accuracy - 42%

Requirement:

Python: Python 2.x
Packages: Numpy, Pillow
pip install -r requirements.txt

Usage:

python predict.py
Options:
 -c  --collect     Collect new data from OWL api
 -l  --list        Display a list of team names and abbrs
 -m  --manual      Run a single match prediction with maunal inputs
 -n  --new         Batch run match predictions on a future week's schedule
 -s  --stage       Specify Stage
 -w  --week        Specify Week
 -e  --eval        Evaluate output results
 -i  --image       Enable image output

Sample Output:

• Text:

  

• Image:

  

Bayesian Network Model: