Strength-of-Schedule means that your performance depends on WHO you play
Problems when Measuring Sports Performance
Sports performance has been very difficult to quantify because your performance depends on who you play. Players will get more hits against a weak pitcher and more rushing yards against a weak rushing defense. As a result, players and teams don’t know how well they play when they walk off the court. Did we rebound well or just face a weak rebounding team?
Furthermore, teams and players don’t fully understand their strengths and weaknesses because they can’t really compare their season statistics since teams play different schedules. Is our perimeter defense poor or do we just face good 3 Pt shooting teams? As a result, coaches have the monumental task of improving something that they can’t measure.
This strength-of-schedule (SOS) dilemma also affects the ranking of sports teams. Since a win over Bowling Green is not the same as a win over Ohio State, a 9-3 team could be better than an 11-1 team if it played a tougher schedule. It matters WHO you play.
SportsMetriX Provides a Solution to These Problems
GeneMetriX is a process improvement company that has applied advanced engineering concepts to solve these SOS problems. SportsMetriX is a new technology that measures and predicts sports performance by accounting for strength-of-schedule. The productivity measurement technology has been applied to evaluate in-depth basketball productivity … and other sports will soon follow.
Turnover rate of Utah Jazz rises and falls depending on who they play
SportsMetriX provides a unique perspective to see a clearer picture of performance to rapidly develop players, better prepare teams, and find their recipe for success. The team ranking technology can be applied to any sport from high school to the pros. This objective team ranking system essentially predicts how teams should perform against other team’s schedules to ultimately determine which team has the “best season”. Below is an example that demonstrates the power of this new approach.
In the 2003 NCAA football season, how many teams would have performed better than Georgia with their tough schedule? Prior to their bowl win, SportsMetriX ranked them #4 with 3 losses while the BCS ranked them #12. Two of their losses were to #1 LSU and another loss to Florida (who beat LSU). Other polling and ranking systems rated Georgia lower because of their three losses. This cost Georgia a major bowl berth. Instead of automatically assuming that an undefeated team is better than a one-loss team … and a one-loss team is better than a two-loss team… and so on, the SportsMetriX system considers how other teams would have performed with Georgia’s schedule. Every team on the planet would have lost both those games to LSU. With this in mind, Georgia was worthy of a #4 ranking because they only had three losses with their extremely difficult schedule. By the way, SportsMetriX correctly picked LSU and USC as #1 and #2. Oklahoma should not have played in the Championship game.
This demonstrates that your interpretation changes dramatically if you account for the strength of your opponent. If you don’t account for SOS, Georgia’s 3 losses are considered “bad”. If you account for who they played, Georgia’s 3 losses are considered “good”. Productivity metrics can be misinterpreted too. You may think you O rebounded well, but you actually just shot poorly and faced a weak rebounding opponent. Your interpretation affects the development of your players, preparation of your team, and the game plan tailored for each opponent. The difference between winning and losing is just a matter of interpretation.
The SportsMetriX team ranking system is available for any sport in NCAA Div. I, II, III, NJCAA, and high schools across the country. SportsMetriX’ basketball productivity measurement system will be available for the NBA, as well as the men’s and women’s NCAA Div. I, II, and III for the 2010 – 2011 season.