NFL Draftnikology: Euclidean Metrics and Other Approaches to Scoring Ranking Predictions |
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Authors: | Steven B. Caudill Franklin G. Mixon JR. C. Paul Mixon |
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Affiliation: | 1. Department of Economics , Rhodes College , Memphis , Tennessee , USA;2. Columbus State University , Columbus , Georgia , USA;3. TSYS, Inc. , Columbus , Georgia , USA |
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Abstract: | With viewership of NFL (National Football League) football in the US rising above 20 million, interest in the NFL Draft has also been at all-time highs in recent years. Much of this interest is directed toward the “NFL draftniks” who provide draft predictions—so-called “mock drafts”—leading up to the NFL Draft. Despite increasing interest in “NFL draftnikology,” the scoring methodology used to evaluate mock NFL drafts lags far behind. This study offers a few alternative approaches, including a Euclidean metrics approach to evaluating mock NFL drafts. The usefulness of our methodologies extends to evaluation of economic and financial analysts. |
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Keywords: | Euclidean distance Ranking accuracy Regression analysis |
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