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"...Freakonomics meets ESPN." —Alan
Schwarz, author, The Numbers Game
Taking Measure of the Many Myths
in Modern Sport
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Reviews | What's Inside | Where to Order | Stanford University Press |
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Chapter
Excerpts
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Chapter Six: Shaq and Kobe from The Accuracy of Our Methods, pp. 109-110 How
accurate is this approach? We have already said that our model explains 95%
of team wins. Unfortunately, this basic statement has little meaning for
those not versed in regression analysis. To put the accuracy of our methods
in perspective, we measured the wins produced by each player employed by the
NBA for the 2003–04 season. We then summed wins
produced by each player for each team. How does our summation of player wins
produced compare to actual team wins? The
answer is reported in Table 6.8. The average difference between the summation
of player wins produced and team totals is 1.67 wins. How does it do for the
Lakers? The team won 56 games, yet our model predicts only 51.7 victories.
The difference of 4.3 wins is actually one of the largest we observe. The
team the Lakers played in the finals, the Pistons, had a predicted win total
equal to 56.7. Remember our model is based on offensive and defensive
efficiency. Given these results, perhaps people should not have been
surprised when the Pistons defeated the Lakers in five games. Although
playoffs are not a perfect test for determining the identity of the best
team, our analysis of player production indicates that contrary to popular
perception, the Lakers were not necessarily better than the Pistons in the
regular season and should not have been heavy favorites prior to the 2004 NBA
Finals. Table 6.8 Evaluating
the Accuracy of Wins Produced, 2003–04 Regular Season
Excerpts (c) 2006 by the Board of Trustees of the Leland
Stanford Jr. University. No further
use, reproduction or distribution of this material is allowed without the
written permission of the publisher. |
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