In my model I only use the current season's data. I'm always looking for ways to improve it.
One thought I've had is incorporating historic data, mainly for totals.
Lets say my model spits out a total of 50 using the current season's data, but 20 years of matchup data shows an average of 40 points in this matchup. Do you think that is statistically significant?
One way to potentially validate this would be to compare the matchup total against league average for every season. If the total is regularly below league average then that would suggest it is statistically significant.
Also, I'm betting on small leagues. Obviously if this was NFL it would already be baked in, if statistically significant.
Input would be much appreciated, thanks!