02-11-2022, 05:00 PM
(02-11-2022, 04:24 PM)KillerGoose Wrote: I'd be interested in hearing what your ideas are. Theoretically, it could be a better approach given that the main issue with NFL analytics is that the sample size (I.E. season) is much more limited than other sports. Sabermetrics is pretty sharp, for instance, because the season is so damn long. The NFL only has 17 games, so it introduces a lot more variance. A team having a 33% chance of victory can still pull out that 33% even if they would theoretically lose a series, if it were a thing.
Great points. How do these algorithms account for variables such as injuries, home or away, weather.
