|
| 1 | +## APIs/Data Resources: |
| 2 | +1. https://collegefootballdata.com/ |
| 3 | +- advertises free data on NCAA football |
| 4 | +- not sure if it is just FBS or FCS also |
| 5 | +- not sure on its speed for updates or accuracy but seems like a starting place |
| 6 | +2. https://www.basketball-reference.com/ |
| 7 | +- another supposedly free site on NBA, ABA, G League, and WNBA |
| 8 | +- team, player, league information |
| 9 | +- not sure how the data is downloaded |
| 10 | +3. https://www.sports-reference.com/ |
| 11 | +- more general sports from basketball-reference |
| 12 | +- includes more sports include baseball, football pro and college, basketball pro and college |
| 13 | +- not sure on update time but has good historical data |
| 14 | +- not betting specific |
| 15 | +4. https://www.kaggle.com/datasets/ehallmar/nba-historical-stats-and-betting-data |
| 16 | +- money lines betting information for NBA games |
| 17 | +5. https://www.kaggle.com/datasets/scottfree/sports-lines |
| 18 | +- betting information for line, over/under, and game results for select seasons of select sports |
| 19 | +- offer variety and also an AlphaPy python model to analyze the trend data in the game results |
| 20 | + |
| 21 | +## High Level WorkFlow |
| 22 | +1. Collect data from APIs or data resources |
| 23 | +2. Filter and Clean Data into desired values and parameters |
| 24 | +3. Split the data into train and test |
| 25 | +4. Fit a linear regression model |
| 26 | +5. Evaluate accuracy --> RSME, MAE, R^2 |
| 27 | +6. Adjust and improve |
0 commit comments