It didn’t take long for the Ivy League to make a big splash nationally. After months and months of endless hype, Cornell was faced with the unenviable task of having to back it all up and did so admirably, staving off a late Alabama charge to hold on for a 71-67 road victory over the […]
Here are the team-by-team breakdowns of the data featured in this week’s By the Numbers. We graded the teams on overall performance, offense, defense, and rebounding using the data against non-major opponents. There’s no grade inflation, no curve, and if you have complaints, take them up with the data.
Harvard and Dartmouth already have opened Ivy League play and there still are four non-league games to be played, but the timing for a non-league statistical breakdown doesn’t get any better than this. Because of difference in schedule difficulty and the skewed nature of games against major conference opposition, the following statistics are taken only from games against teams outside of BCS conferences. In addition to adjusting for strength of schedule, a non-major statistical filter also should provide a more meaningful idea of what to expect against Ivy opposition.
Different coaches take very different approaches to non-conference play, and this season’s schedules are no exception. Rather than just looking at names, these are the average Pomeroy ratings of non-conference opponents for each of the Ivy League schools.
As promised, here are the team-by-team breakdowns of the data featured in this week’s By the Numbers. Rather than penning eight paragraphs that all start to sound similar after you’ve read four or five of them, we graded the teams on overall performance, offense, defense, and rebounding using the data. Letter grades from non-league games against non-major opponents are included as well, for the sake of comparison. There’s no grade inflation, no curve, and if you have complaints, take them up with the data.