I guess I have a problem with the acceptance of the idea of "expected numbers", especially as the analytics have developed in hockey in general, but in particular with Dom's "model". One of the hallmarks of any analytical process (and any individual standing behind said process) is the thirst for knowledge to explain the deviations from the "expected" outcomes and the willingness to adjust the modeling to incorporate data to better predict the "expected".
The reason Dom is so vilified around these parts, aside from his unprofessional disdain for our beloved franchise, is he has looked at the Blues' outperformance to the "expected" for several years now and can only offer "they got lucky" as an explanation instead of searching for better data to create a more realistic expectation. For every squad like the Blues that overperforms relative to his flawed model, there is likely an equal an opposite data point that underperforms to the "expected" and his approach to that is likely met with "they got unlucky" as the explanation. If you're passion is data analytics and you have no curiosity as to why certain group over- or under-perform against your projections, you're probably in the wrong field.
Thus ends my rant against Dom and his lazy analytics.