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04-21-2013, 08:15 PM
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I think this is a really important point that speaks to the nested nature of hockey data. Using your example, even though LeClair scored the goal and Renberg got the assist, everyone on the ice (including the opposition) had an effect. I imagine Lindros being on the ice significantly increased the probability that his linemates would get a point regardless of whether he recorded an objective stat (i.e. goal, assist, hit, etc.), perhaps looking at his contribution that way might more accurately assess his value?
If you look at the THoR model, it credits players for their effect in exactly this way.

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