Simple betting analytics with Python. It has two parts which are data-preprocessing(code/preprocess.ipynb) and exploratory data analysis(code/eda.ipynb).
Article - 1: https://medium.com/analytics-vidhya/sports-analytics-in-python-part-1-12e4907da227
Article - 2: https://medium.com/analytics-vidhya/exploratory-data-analysis-in-sports-analytics-part-2-5ba6aa50cd5
The list below contains the most popular type of bets on football.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|
| 0.5_under_half | 0.5_above_half | mutual_goal | MS_2_under_2_5 | MS_1_above_3_5 | MS_0_above_4_5 | away_goal_concede | win_half_full |
| 1.5_under_half | 1.5_above_half | MS_1_under_1_5 | MS_0_under_2_5 | MS_2_above_3_5 | win | sum_concede | win_half_full_home |
| 2.5_under_half | 2.5_above_half | MS_2_under_1_5 | MS_1_above_2_5 | MS_0_above_3_5 | draw | win_half | win_half_full_away |
| 0.5_under_final | 0.5_above_final | MS_0_under_1_5 | MS_2_above_2_5 | MS_1_under_4_5 | lose | draw_half | - |
| 1.5_under_final | 1.5_above_final | MS_1_above_1_5 | MS_0_above_2_5 | MS_2_under_4_5 | home_goal | lose_half | - |
| 2.5_under_final | 2.5_above_final | MS_2_above_1_5 | MS_1_under_3_5 | MS_0_under_4_5 | away_goal | one_zero | - |
| 3.5_under_final | 3.5_above_final | MS_0_above_1_5 | MS_2_under_3_5 | MS_1_above_4_5 | sum_goal | one_two | - |
| 4.5_under_final | 4.5_above_final | MS_1_under_2_5 | MS_0_under_3_5 | MS_2_above_4_5 | home_goal_concede | zero_two | - |
Use the package manager pip to install foobar.
pip install ipywidgets
pip install nbextensions
pip install plotly
When you run the code, you will see the sample dashboard like this.
