databurst MLB Power Rankings

Background

The databurst MLB power rankings are generated from a quantitative mathematical model constructed from the current season series win-loss records for each team. The model generates a ranking value for each team proportional to the strength of the team. The mathematical analysis is an iterative model which determines a best-fit prioritized ranking for each team that most accurately matches the overall results from the MLB season. The model determines the strength of each team, as well as a home field advantage factor.

Since each team in MLB plays all teams within their own league, and a number of cross-over inter-league games, the relative ranking of the teams is generated through head-to-head and relative performance versus common opponents. There are natural strength differences between the AL and NL, as well as within the different divisions, and these relative strength of schedule effects are implicitly included in the model.

Model Details

Base Model - all season series matchups and results are weighted equally in the model.

Momentum Model - increased weighting is place on recent series to capture short term trends.

Series Outcomes - series victories are weighted for differential in games won. Weighting factors = 1.3 for 3+ W differences, 1.2 for 2 W differences, and 1.0 for single W differences.

Home Field Advantage - determined as part of the overall model generation process, and currently has a value of 61 team rating points.

Predictive Accuracy - retrospectively the base model correctly predicts 71% of the series outcomes.

Rating

The rating for each team is a numerical value which can be used to determine the probability of a team winning a series matchup. Larger ranking numbers indicate stronger teams, and the difference in rankings between two teams is a measure of their strength disparity. The generic win probability is the is the probability of a given team winning a series against the mean level MLB team.

The win probability for the home team for any matchup is calculated by WP = 1 / (1 + 10^(dR)/400), where dR = home team ranking - away team ranking + homefield edge. The win probability of the visiting team is 1 - WP.

Updated Monday August 19, 2013

Team Abbrev Base Model Ranking Weekly Change Change Momentum Model Ranking Weekly Change Change Delta
Boston Red Sox BOS 1 - 0 7 3 -3 -6
Atlanta Braves ATL 2 2 2 2 1 1 0
St. Louis Cardinals STL 3 4 4 6 5 5 -3
Los Angeles Dodgers LAD 4 5 5 1 - 0 3
Baltimore Orioles BAL 5 3 -3 9 2 -2 -4
Pittsburgh Pirates PIT 6 1 -1 15 6 -6 -9
Detroit Tigers DET 7 1 -1 5 - 0 2
Texas Rangers TEX 8 5 -5 12 4 -4 -4
Tampa Bay Rays TAM 9 1 1 3 3 3 6
Kansas City Royals KAN 10 2 -2 4 2 -2 6
Oakland Athletics OAK 11 - 0 11 1 -1 0
New York Yankees NYY 12 - 0 13 4 4 -1
Cincinnati Reds CIN 13 - 0 10 3 3 3
Arizona Diamondbacks ARI 14 1 1 8 14 14 6
Cleveland Indians CLE 15 1 -1 16 2 -2 -1
Washington Nationals WAS 16 - 0 17 2 -2 -1
Toronto Blue Jays TOR 17 1 1 18 1 1 -1
Seattle Mariners SEA 18 1 1 19 4 4 -1
New York Mets NYM 19 1 1 14 2 -2 5
Colorado Rockies COL 20 4 4 22 3 3 -2
Los Angeles Angels LAA 21 4 -4 24 8 -8 -3
Chicago Cubs CHC 22 - 0 25 5 -5 -3
Philadelphia Phillies PHI 23 - 0 27 1 -1 -4
San Diego Padres SDG 24 1 1 23 2 -2 1
Milwaukee Brewers MIL 25 1 1 21 3 3 4
Minnesota Twins MIN 26 5 -5 26 8 -8 0
Chicago White Sox CWS 27 1 1 20 8 8 7
San Francisco Giants SFO 28 1 -1 29 - 0 -1
Miami Marlins MIA 29 - 0 28 1 -1 1
Houston Astros HOU 30 - 0 30 - 0 0