Quote from: BearLover on September 29, 2026, 12:33:01 AMQuote from: sezenack on September 28, 2026, 02:50:07 PMA lot of you have liked my yearly ECAC preview over the years, so here is this year's! Really like Cornell's roster this year but have questions in net. If Rousseau performs, they'll be a damn good team. Also included a full model explanation since that's been asked here in the past. Didn't see a predictions thread so posting it here.Thank you for your great write-up every year and all the effort you put into it. I will always take a math-based model like yours over vibes-based rankings by voters who have barely watched any of the teams.
https://www.rpifieldhouse.com/p/ecac-preview-2026-27
I have a couple of quibbles:
1. Is it really fair to call Cornell a "tournament lock" when we are so uncertain in net? I think all of us here are bullish on the team with the exception of the major question mark in goal, but calling them a lock seems like a stretch. Being a tournament lock is a high bar that I think only Quinnipiac (and maybe Dartmouth) meets among ECAC teams.
2. I question the general methodology of weighting past season counting stats so heavily. It seems you end up overrating players/teams who were lucky the prior season and vice versa. For example, as I understand it, your model assumes Ethan Wyttenbach, Hayden Stavroff, and Caton Ryan will score more goals/points next season than they did this past season. That strikes me as quite unlikely, as (without checking) I'd assume each was very lucky last season. When your model so heavily weights past performance, you're probably going to understate fluctuation in the rankings from year to year because the good teams will project as good again and the bad teams as bad again, even if a lot of their success (or lack thereof) the prior season was luck. To "fix" this you'd probably need to factor in things like puck possession and shooting percentage stats to measure how good a team/player is beyond points/goals scored/allowed.
Those are fair quibbles I'd say and I don't necessarily disagree!
1) The model thinks Cornell's defensive quality is so high that unless they're a total disaster in net, their goal differential is projected to put them in the "tournament lock" range. Things would have to go majorly wrong for them to miss the tournament, either tons of players not performing offensively or goaltending below like an .890 SV%. I think both of those are pretty unlikely even though Rousseau has questions.
2) I agree, and if I were making an updated or new model, I'd have some sort of regression baked in. Even without doing that though, the model has proven to be highly accurate. My guess is that it tends to even out because some players will be lucky this year that weren't last year and vice versa.
