Quote from: Dave 'd-mac' McHugh on March 10, 2018, 03:54:00 PM
Scranton with one loss and .589 SOS was going to host over a 4-loss and .658 SOS from Tufts (at some point, the SOS number is just too... gaudy when you have multiple losses).
This is 2018. We are in the era of data science. Evaluating teams based on SOS and winning percentage is not only old fashioned, but it is prone to bias and confusion.
NCAA decision-making should never be based on these metrics.
Mathematically, these metrics have big problems, including:
- When an elite team beats a low-quality team, the elite team's SOS goes down although the win tells us nothing new about the team. What if Bowdoin played another 30 games this season against teams that never won a game? Suddenly, its SOS would drop, and its near-perfect record would lose its meaning -- for no good reason.
- Another problem with using SOS and winning percentage is that doing so requires analyzing two numbers. There is no good way to compare a team with a high SOS and low winning percentage to a team with a low SOS and a high winning percentage.