Public release date: 7-Oct-2013
[ | E-mail Share ]

Contact: Tanya Klein
973-596-3433
New Jersey Institute of Technology

# NJIT professor offers math-based projections for MLB postseason

Now that Major League Baseball's regular season has ended with the exciting one-game tiebreaker that got the Rays to the next round, and with the Rays and the Pirates winning the one game playoff for the wild card team, NJIT math professor Bruce Bukiet has once again begun analyzing the probability of each team advancing through each round of baseball's postseason. "The Los Angeles Dodgers, who many thought were out of contention early in the season after a poor start, have the best chance to win their series (63%) against the Braves while the Detroit Tigers have a 59% chance to eliminate the Oakland A's. The Red Sox have a 55% chance of sending the Rays home and the Pirates have a 53% chance of defeating the St. Louis Cardinals in the best of 5 game Division Series round.

At the season's start, Bukiet used his mathematical model to project the number of wins each team should earn (see: http://m.njit.edu/~bukiet/baseball/SeasonProjections2013.html). Bukiet's model picked 2/3 of the ten post-season teams back in March (there were some ties in the original projections leading to the fraction), a result that beat nearly 90% of the experts (at Yahoo Sports, Sports Illustrated, ESPN and the Examiner) and that for the third year in four placed him first at Baseballphd.net's annual contest to pick the teams who would make it to the playoffs. Bukiet updates the probabilities of each team taking their series throughout the Major League Baseball post-season at http://m.njit.edu/~bukiet/baseball/playoffs13.htm.

On Bukiet's website, he provides the likelihood of each team taking the series in a given number of games. Going into the series, the most likely outcome (25%) is for the Dodgers to defeat the Braves win in four games. The Tigers' best chance (23%) is to win in 4, while the Red Sox' best chance (22%) is to win in 5 games. The Pirates' best chance (24%) is to win in four.

This is Bukiet's 13th year using his model to determine whether it is worthwhile to wager on games each day during the baseball season. His picks (posted on http://www.egrandslam.com) have led to positive results for 9 of the 13 years (counting 2013's thus far positive performance).

The method uses a Markov process approach which he originally published in the journal Operations Research. The method enables one to assess prospective trades and evaluate who should win the Most Valuable Player and Cy Young Awards among various other applications. Bukiet's MVP and Cy Young results and the updated method to produce them have appeared in the International Journal of Performance Analysis in Sports. The model computes the probability of a team with given hitters, bench, starting pitcher, lineup and relievers scoring any number of runs along with home field advantage to compute the chance each team has to win a game.

###

NJIT, New Jersey's science and technology university, enrolls 10,000 students pursuing bachelor's, master's and doctoral degrees in 120 programs. The university consists of six colleges: Newark College of Engineering, College of Architecture and Design, College of Science and Liberal Arts, School of Management, College of Computing Sciences and Albert Dorman Honors College. U.S. News & World Report's 2011 Annual Guide to America's Best Colleges ranked NJIT in the top tier of national research universities. NJIT is internationally recognized for being at the edge in knowledge in architecture, applied mathematics, wireless communications and networking, solar physics, advanced engineered particulate materials, nanotechnology, neural engineering and e-learning. Many courses and certificate programs, as well as graduate degrees, are available online through the Division of Continuing Professional Education.

[ | E-mail Share ]

AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.