The big PWR game of the week is #14 Yale vs. #10 Quinnipiac. They only play one game vs. each other, but then another each vs. #56 Princeton and #48 Brown, respectively.
A single win this weekend for either most likely results in a small decline in ranking. The interesting outcome is if the loser of the head-to-head also loses their other game, which could result in falling of at-large bid position in the PWR.
The runner-up big PWR game is #23 Western Michigan vs. #2 North Dakota. North Dakota isn’t moving much, even if they get swept; it doesn’t seem possible to overtake idle #1 Minnesota State this weekend. However, Western Michigan could jump just below the bubble with a sweep.
Forecasts include the results of games played through Sunday of this week, unless otherwise noted.
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)