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Player and Team Context Ratings

National Statistical's Team and Player Context Ratings are logical, flexible, extensible, and simple enough for non-stat geeks to understand -- so much so that the entire methodology fits in one paragraph. Whether a criterion is measuring a team's road win percentage or player efficiency, the best value gets 100 points, the worst value gets zero, and values in between are assigned on a percentile basis. The league average is always 50. Some measurements are more significant than others, so each column is multiplied by a value from 0.0 (not important) to 1.0 (normal) to 2.0 (very). Then everything is totaled up and sorted from No. 1 to last place.

Player ratings are limited to qualifiers only. If there are varying levels of play within a context, such as with our Minor League Baseball or European basketball sub-sites, a final league factor multiplier from 0.1 to 1.0 is applied.

Because Context Ratings use normalized, tempo-free and percentage-based criteria, they're fair and equitable after one game or 200, in any sport they're applied to.

But which measurements are more important than others? Regular tinkering is required in order to predict future outcomes. So we've given you the tools to make your own ratings systems.

League, Sport and Site Pass customers can now create their own Context Ratings systems. It's a feature that's available immediately for all 11 of our basketball and baseball sub-sites. Just click the Customize button above any ratings grid. Weight the columns the way you think they should be weighted. Test your hypotheses. And create as many different player and team ratings systems as you like.

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