Gramps statistics got me thinking about why we Blazers fans typically predict more in favor of the Blazers than we probably should. And I think I've got it figured out:
Think of it as a 2x2 matrix, with the outcome of the game (win / lose) as one factor and the outcome of our predictions (right / wrong) as another:
Blazers Win / Predict Right =

Blazers Win / Predict Wrong =

Blazers Lose / Predict Right =

Blazers Lose / Predict Wrong =
In English, if we predict the Blazers to win and they do, we've got "double-happiness" (

) coming our way! No other scenario gives us, as predictors, a chance at "double-happiness". We can find
some solace in a Blazers win when we predict a loss (because hey, Blazers win!), and also when the Blazers lose when we predict a loss (because we predicted right). But there is just NO happiness for us in predicting a win that ends up being a loss. So we simply tend to predict in a way that maximizes our chances of happiness!
Anyway, just a theory...
PBF