Could there be a new #1?
Coming off 3 ties in the last 6 games, Quinnipiac is just damaged enough that falling from #1 has become a realistic possibility. Losses to both Cornell and Colgate this weekend would make a fall to #3-#4 quite likely.
What’s up with St. Lawrence?
However, you should think of those wins as creating additional ranking potential in the Saints, such that if they can keep winning we could see that potential unleashed in a big jump. Coming out of the weekend between #18 and #22 is reasonably likely if they can notch victories over Rensselaer and Union.
Weekend bubble watch
Looking at #9 Nebraska-Omaha through #18 Minnesota State, only UNO and Dartmouth have really overachieved and underachieved to get there (and Dartmouth wouldn’t be at all surprising if you instead started looking on Jan 4, after a pair of wins vaulted them from #32 to #21).
#9 Nebraska-Omaha should have a pretty quiet week off, though might slip a little (particularly if Notre Dame experiences success over Vermont and/or BU defeats Mass.).
#10 Notre Dame and #11 Mass.-Lowell face typical outlooks for their positions — the possibility of a small rise with a pair of wins, or a bit steeper fall with a pair of losses.
#12 Denver shouldn’t move much while idle, though might climb a little if Mass.-Lowell and/or Notre Dame falter.
After tumbling a bit from a split last weekend, #13 Yale is unusual in this pack for facing a little more upside than downside potential.
#14 Rensselaer is standing on the edge of a cliff — a couple wins should strengthen its position without much of a corresponding rise in PWR, while a couple of losses could send them plummeting toward 20. Looking at their PWR details, the elevated risk seems to come from a large number of ties in COP that will turn comparisons against them with losses to St. Lawrence and Clarkson.
#15 Dartmouth, #16 Cornell, #17 Penn St, #18 Minnesota St all face noticeably more downside risk from losing than upside potential from winning this week.
Forecasts include the results of games played through Tuesday of this week.
Each forecast is based on at least one million monte carlo simulations of the games in the described period. For each simulation, the PairWise Ranking (PWR) is calculated and the results tallied. The probabilities presented in the forecasts are the share of simulations in which a particular outcome occurred.
The outcome of each game in each simulation is determined by random draw, with the probability of victory for each team set by their relative KRACH ratings. So, if the simulation set included a contest between team A with KRACH 300 and team B with KRACH 100, team A will win the game in very close to 75% of the simulations. I don’t simulate ties or home ice advantage.
- Current PWR Rankings (SiouxSports.com)
- Current RPI Rankings (SiouxSports.com)
- CHN PWR Rankings (CollegeHockeyNews.com)
- USCHO PWR Rankings (USCHO.com)
- Explanation of how PWR mimics NCAA tournament selection (CollegeHockeyNews.com)