Recently, one of my students (an avid Marlin fan and knowing that I am also a baseball fan) asked me which teams were making the playoffs this year. Making the clarification that is too early to make such predictions, I chose the following teams: Phillies, Cubs, Dodgers, and Cardinals from the National League and Blue Jays, Indians, Athletics and Red Sox (this hurts since I am a Yankees' fan!). However, my predictions were based on gut instincts, but if I would have read professor Bruce Bukiet's mathematical model to make baseball predictions, I probably would feel more confident about my predictions. His mathematical model to make baseball predictions have been pretty much accurate every year. Predicting certain events or behaviors based on particular data is one of the most practical applications for learning mathematics. Learn more about Bukiet's mathematical model by clicking the science daily web site link below.
Tight Races In Major League Baseball's Eastern Divisions, Mathematician Predicts
The National League (NL) should see another very tight race in the Eastern
Division as has occurred in recent years.
Bukiet, an associate professor of mathematical sciences and associate dean of
the College of Science and Liberal Arts at NJIT, once again provides the number
of games each Major League Baseball team should win in 2009 based on the
mathematical model he developed in 2000.
His model computes the probability of a team winning a game against another team
with given hitters, bench, starting pitcher, relievers and home field advantage.
Bukiet, an avid Mets fan, has used this mathematical model to determine whether
it is worthwhile to wager on games during the baseball season.
These picks have produced positive results for six of the eight years he has