Who is ‘Most Valuable’

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Who is ‘Most Valuable’ Tyler Schatz Lawrence Mulcahy

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Who is ‘Most Valuable’. Tyler Schatz Lawrence Mulcahy. There have been 53 MVPs in the NBA with the first being Bob Pettit in the 1956-57 season Since 1980, the selection of the MVP has been determined by sportswriters and broadcasters Before that, it was determined by the NBA players - PowerPoint PPT Presentation

Transcript of Who is ‘Most Valuable’

Page 1: Who is ‘Most Valuable’

Who is ‘Most Valuable’

Tyler SchatzLawrence Mulcahy

Page 2: Who is ‘Most Valuable’

• There have been 53 MVPs in the NBA with the first being Bob Pettit in the 1956-57 season

• Since 1980, the selection of the MVP has been determined by sportswriters and broadcasters

• Before that, it was determined by the NBA players

• Both of these methods are subjective and Berri’s article tries to take a more objective approach to determine the MVP

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The IBM MVP Award Formula• [(PTS - FGA + RBO + RBD + AST + STL + BLK - PF - TO + (t Wins x 10)) x 250]

• [tPTS - tFGA + tRBO + tRBD + tAST + tSTL + tBLK - tPF - tTO]

• This formula is a proportion of a players statistics vs. his team’s statistics to show the impact he has on his team

• The IBM Award was last given out to Tim Duncan in after the 2001-2002 season and is no longer given out to NBA players

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Activity• Use this formula to determine who should win

the MVP this year: LeBron or D-Wade.• [(PTS - FGA + RBO + RBD + AST + STL + BLK - PF - TO + (t Wins x 10)) x 250]

• [tPTS - tFGA + tRBO + tRBD + tAST + tSTL + tBLK - tPF - tTO]• P:\temp\IBM Award Formula.doc

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MVP by Position

• Does a certain position receive more MVP awards than the other positions?

• To test this we will use frequency tables and the Chi-square goodness of fit test.

• This statistic is the sum of the observed counts minus expected counts squared divided by the expected counts

• H0: The data are consistent with a specified distribution. (observed counts = expected counts)Ha: The data are not consistent with a specified distribution.

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Results

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Analysis/Further Research

• The χ2 stat gives a p-value<.0001, so we can conclude that a significantly higher number of centers have been selected

• To investigate this further, we decided to separate the years the

players(1956-1979) voted for the MVP vs. the years sportswriters

determined(1980-Present) the MVP

• It should be noted that the year sportswriters started choosing the MVP was also the year the three-point line was introduced

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Selected by the Players

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Selected by Sports writers

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MVP by Conference

• Have the two conferences received a significantly different number of MVP awards

• To test this we will again use the Chi-square goodness of fit test

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Results

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MVP by Conference continued

• We determined that there is no significant difference in the number of MVPs chosen in the conferences, but is this true when the players determined the MVP?

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Results when the players choose

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Results when sportswriters choose

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Conclusions• The players determining the NBA MVP lead to a

significantly higher number of centers being selected

• a significantly higher number of players from the eastern conference were selected during this time period

• The decision to switch to sportswriters has improved the selection process

• A model to determine the MVP could work, but it’s hard to determine a players ‘value’ to a team solely through numbers.

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Resources

• Who is Most Valuable? Measuring the players production of wins in the National Basketball Association

• www.basketball-reference.com• http://www.itl.nist.gov/div898/software/

dataplot/refman1/auxillar/chsqgood.htm