KJ.
New member
And here are the statistics to prove it. A team's Pythagorean Record is what their record should be based on the number of runs they score and allow. It is a metric developed by Bill James, who was basically the founder of sabermetrics. It's fairly obvious that run differential is correlated to winning percentage, so it shouldn't come as any surprise that a solid relationship like this exists.
Anyway, this is how the B1G looks in terms of Pythagorean records:

The table includes the team's Pythagorean winning percentage (using an exponent of 2), as well as the team's expected record based on that percentage. From there, you can look at the last column and see how many wins a team is deviating from their expectation.
According to this, Nebraska should have 3.5 more wins than they do, which leads the conference. Also, Purdue has won 1.8 more wins than the numbers would expect.
What does this mean? Have we been unlucky so far this year? Or, is there a reason we're underacheiving? Are we "due" for a streak?
Anyway, this is how the B1G looks in terms of Pythagorean records:

The table includes the team's Pythagorean winning percentage (using an exponent of 2), as well as the team's expected record based on that percentage. From there, you can look at the last column and see how many wins a team is deviating from their expectation.
According to this, Nebraska should have 3.5 more wins than they do, which leads the conference. Also, Purdue has won 1.8 more wins than the numbers would expect.
What does this mean? Have we been unlucky so far this year? Or, is there a reason we're underacheiving? Are we "due" for a streak?