In college basketball, the selection of teams and determining where they are placed once in there involves a mathematical calculation called the rate percentage index (RPI).
This calculation helps to compare the performance of teams against each other. It focuses mainly on the winning percentage. RPI’s formula deals with the winning percentage (WP), the Opponents Winning Percentage (OWP), and the Opponents of the Opponents Winning Percentage (OOWP). Bringing the formula to:
RPI = (WP x 0.25) + (OWP x 0.50) + (OOWP x 0.25)
Though getting the rate percentage index (RPI) is a complex procedure, it is accessible online, where hourly updates are available on some websites.
Making Use of the Numbers
Rate percentage index (RPI) can also help determine a really strong team. Even if a team has many wins, the RPI helps provide a better picture of a team’s performance. Its emphasis on the winning percentage not only of the team but also of its opponents and their winning percentage helps to identify flukes or wins due to a streak of matches with weak teams. The RPI is a useful tool, especially for bettors. Simply put, some strong teams incur losses from facing strong teams one after the other. In some cases, some teams that have more wins can be said to be lucky mainly because they went against weak teams. Given this, when the conference play starts, those who merely look at the wins are often surprised when the results are not what they expect.
The comparison of a team’s RPI against all other teams from Division 1 is also a good indicator of a team’s performance. This is called the RPI Rank. A team ranking of twelve is better compared to one whose rank is at a hundred.
The Unanswered Question
Though the rate percentage index (RPI) gives us a better reading of the tournament field, it still has its flaws. One of the crucial questions about a team’s performance but is unanswerable through the RPI concerns how exactly a team win. With this said, for a better, a team winning by ten points during each of its games compared to those teams that barely make it would be a better indicator of a team’s real performance. This, however, is seldom the case.