Author: Kris
Version: 2.0.0
These files scrape weekly matchup data and scores from the weekly NFL schedule and enter the information into an Excel spreadsheet.
These scripts use the following libraries:
requests for fetching data from the internet
bs4 for parsing html response data
openpyxl for editing excel spreadsheets
dotenv for enironment variables
-
Install dependencies with the requirements.txt file:
pip install -r requirements.txt -
Create a .env file in root of project. The .env file must contain the following variables:
PATH={ Name of path }
EXCEL_FILE={ Name of excel file }
EXCEL_FILE_NEW={ Name of new excel file }
An excel file should be created first prior to running the scripts - a header reading the next week to be recorded should be in Column A - for example Week 1 if your next action will be adding the schedule for Week 1.
The PATH is the location on your computer from which to load and save the excel files. The EXCEL FILE is the name of an existing excel file that will be edited. EXCEL_FILE_NEW is the name of a new file that will be saved after editing.
Core functionality has been tested with Python's unittest library. Run tests with: python -m unittest
teaminfo.py - a dictionary of team names and abbreviations, which is imported by nflgames.py and used throughout the app.
nflteams.py - scrapes Vegas Insider for weekly game matchup information and betting lines. This file is imported by nflgames.py.
byeteams.py - scrapes ESPN to find the teams on bye during that week, if any. Imported by nflgames.py.
nflgames.py - Finds all matchup data for the upcoming week and enters it into an excel spreadsheet. For the data to be entered, there must be a cell in a column of the spreadsheet that says 'Week X', where X is the integer of the upcoming week.
nflscores.py - Records all scores from the previous week and enters them into the spreadsheet beside the matchup columns (entered by nflgames.py).
tallyscores.py - Analyzes scores and user picks and color codes cells depending on correct/incorrect picks. Is run when invoking nflscores.py (see above)
There are five potential actions to take.
- Schedule
Ex. Running the following will enter the schedule and betting lines for Week 2:
python nfl.py schedule 'Week 2'
OR
python nfl.py schedule 2
- Scores
Ex. Running the following will enter the scores from Week 1:
python nfl.py scores 'Week 1'
OR
python nfl.py scores 1
- Scores (with pick tally) and Schedule
Ex. Running the following will enter scores from Week 1 and schedule for Week 2:
python nfl.py scores++ 'Week 1'
OR
python nfl.py scores+ 1
- Scores with pick tally
Ex. The following will enter scores from Week 1 and tally user picks
python nfl.py scores+ 'Week 1'
OR
python nfl.py scores+ 1
- Power Rankings
This command does not touch the spreadsheet, but prints an ordered list of teams from best to worst records:
python nfl.py teams
For best results dependent on how Vegas Insider is structured, the Schedule action should be run after the previous week is complete and before the next week begins (Tuesday or Wednesday on usual weeks). The Scores action should be run similarly - after all games have completed for the week and before the next week's games begin.
This is an example spreadsheet formatted for the application.
Columns A and B are where matchups and betting lines are entered through the Schedule action.
Column C is for final scores. Columns E-H are for user picks and are color coded depending on game results. This is accomplished with the Scores action.