Author Archives: jim


In contention teams’ tournament probabilities by outcome

Here are some more detailed probabilities for teams with a possibility of making the NCAA tournament at-large.

The following conclusions are based on an exhaustive search of all possible remaining outcomes (about 3,145,728 of them). Any percentages given are not weighted by likelihood or team strength, but instead represent the share of remaining scenarios in which that outcome occurs.

See the previous post—Conference tournament weekend PWR outlook—for a less statistical, more descriptive explanation.

I’ll dive deeper into some of the more interesting teams in coming days.

Team PWR Possibilities
Overall By number of wins
UMN #1 100.0%
Tournament invites: 100.0%
PWR Win 0 Win 1 Win 2
#1 100.0% 100.0% 100.0%
Tournament invites: 100.0% 100.0% 100.0%
Boston College #2 99.5%
#3 0.5%
Tournament invites: 100.0%
n/a
Union #2 0.5%
#3 99.5%
Tournament invites: 100.0%
PWR Win 0 Win 1 Win 2
#2     2.0%
#3 100.0% 100.0% 98.0%
Tournament invites: 100.0% 100.0% 100.0%
Ferris State #4 42.8%
#5 33.9%
#6 19.2%
#7 3.9%
#8 0.2%
Tournament invites: 100.0%
PWR Win 0 Win 1 Win 2
#4 23.2% 32.3% 92.3%
#5 43.3% 41.4% 7.7%
#6 27.4% 21.9%  
#7 6.0% 3.6%  
#8 0.0% 0.8%  
Tournament invites: 100.0% 100.0% 100.0%
UW #4 22.3%
#5 17.6%
#6 22.6%
#7 27.0%
#8 8.6%
#9 1.9%
Tournament invites: 100.0%
PWR Win 0 Win 1 Win 2
#4   9.5% 79.7%
#5 7.2% 37.0% 18.9%
#6 24.9% 39.2% 1.4%
#7 47.4% 13.2% 0.1%
#8 16.7% 1.1%  
#9 3.8%    
Tournament invites: 100.0% 100.0% 100.0%
Quinnipiac #4 12.6%
#5 19.9%
#6 28.2%
#7 32.3%
#8 6.7%
#9 0.3%
#10 0.0%
Tournament invites: 100.0%
PWR Win 0 Win 1 Win 2
#4   2.2% 48.1%
#5 7.9% 23.6% 40.4%
#6 29.5% 43.1% 10.6%
#7 50.0% 28.4% 0.9%
#8 11.9% 2.8%  
#9 0.7%    
#10 0.0%    
Tournament invites: 100.0% 100.0% 100.0%
Mass.-Lowell #4 8.9%
#5 9.9%
#6 8.8%
#7 24.3%
#8 37.7%
#9 10.3%
#10 0.1%
Tournament invites: 100.0%
PWR Win 0 Win 1 Win 2
#4     35.5%
#5   1.3% 38.5%
#6 0.5% 16.4% 17.5%
#7 20.6% 47.6% 8.5%
#8 58.3% 34.4%  
#9 20.4% 0.2%  
#10 0.2%    
Tournament invites: 100.0% 100.0% 100.0%
Notre Dame #4 13.4%
#5 12.7%
#6 9.3%
#7 6.1%
#8 44.1%
#9 14.0%
#10 0.4%
Tournament invites: 100.0%
PWR Win 0 Win 1 Win 2
#4   0.3% 53.3%
#5   13.0% 37.8%
#6 0.0% 29.0% 8.3%
#7 4.6% 15.0% 0.0%
#8 69.5% 36.7% 0.6%
#9 25.1% 5.9%  
#10 0.8%    
Tournament invites: 100.0% 100.0% 100.0%
Providence #4 0.1%
#5 5.9%
#6 11.9%
#7 6.3%
#8 0.0%
#9 21.5%
#10 21.8%
#11 21.7%
#12 8.9%
#13 1.7%
#14 0.2%
#15 0.0%
Tournament invites: 98.7%
PWR Win 0 Win 1 Win 2
#4     0.4%
#5     23.7%
#6     47.5%
#7     25.4%
#8     0.0%
#9 1.8% 79.3% 3.0%
#10 33.5% 20.1%  
#11 43.0% 0.6%  
#12 17.9%    
#13 3.5%    
#14 0.3%    
#15 0.0%    
Tournament invites: 97.4% 100.0% 100.0%
SCSU #8 0.1%
#9 36.2%
#10 48.8%
#11 13.5%
#12 1.3%
#13 0.0%
Tournament invites: >99%
n/a
Michigan #6 0.1%
#7 0.0%
#8 2.6%
#9 7.1%
#10 3.0%
#11 10.4%
#12 17.2%
#13 15.9%
#14 17.8%
#15 16.2%
#16 8.0%
#17 1.5%
#18 0.2%
Tournament invites: 59.9%
PWR Win 0 Win 1 Win 2 Win 3
#6       0.6%
#7       0.0%
#8       20.6%
#9     0.1% 56.6%
#10     2.2% 22.2%
#11 0.0% 22.0% 38.9%  
#12 2.7% 43.4% 40.0%  
#13 14.8% 25.5% 16.8%  
#14 31.4% 7.5% 2.0%  
#15 31.6% 1.5%    
#16 15.8% 0.1%    
#17 3.0%      
#18 0.5%      
Tournament invites: 22.7% 95.9% 96.5% 100.0%
Mankato #9 0.1%
#10 4.1%
#11 14.1%
#12 10.7%
#13 10.0%
#14 13.3%
#15 15.9%
#16 15.4%
#17 7.8%
#18 7.7%
#19 0.8%
#20 0.0%
Tournament invites: 41.7%
PWR Win 0 Win 1 Win 2
#9     0.4%
#10     16.3%
#11   2.9% 53.7%
#12 0.2% 16.1% 26.4%
#13 2.8% 31.3% 3.1%
#14 11.9% 29.3% 0.0%
#15 24.5% 14.7%  
#16 28.4% 4.6%  
#17 15.0% 1.1%  
#18 15.5%    
#19 1.7%    
#20 0.0%    
Tournament invites: 6.4% 54.1% 100.0%
UND #10 1.0%
#11 9.6%
#12 16.4%
#13 16.6%
#14 14.4%
#15 9.6%
#16 7.0%
#17 16.4%
#18 7.9%
#19 1.0%
#20 0.0%
Tournament invites: 42.7%
PWR Win 0 Win 1 Win 2
#10   0.0% 4.0%
#11   2.4% 34.2%
#12   13.4% 43.4%
#13 0.0% 30.0% 16.5%
#14 0.8% 32.9% 1.9%
#15 6.9% 17.5%  
#16 16.5% 3.7%  
#17 49.1%    
#18 23.7%    
#19 2.9%    
#20 0.0%    
Tournament invites: 0.5% 42.0% 100.0%
Vermont #10 0.8%
#11 6.7%
#12 23.3%
#13 34.2%
#14 24.7%
#15 9.1%
#16 1.3%
Tournament invites: 69.2%
n/a
Colgate #9 0.1%
#10 9.1%
#11 14.6%
#12 12.1%
#13 8.1%
#14 5.5%
#15 7.9%
#16 16.6%
#17 18.9%
#18 6.7%
#19 0.4%
Tournament invites: 45.4%
PWR Win 0 Win 1 Win 2
#9     0.3%
#10   1.7% 34.8%
#11   14.5% 44.1%
#12 0.0% 30.2% 18.0%
#13 0.2% 29.2% 2.6%
#14 2.7% 16.4% 0.1%
#15 12.5% 6.4%  
#16 32.4% 1.7%  
#17 37.8%    
#18 13.5%    
#19 0.9%    
Tournament invites: 2.1% 77.1% 100.0%
Cornell #9 8.5%
#10 10.9%
#11 9.4%
#12 9.3%
#13 7.6%
#14 3.4%
#15 2.0%
#16 11.1%
#17 29.0%
#18 8.2%
#19 0.6%
Tournament invites: 46.2%
PWR Win 0 Win 1 Win 2
#9     34.1%
#10   1.4% 42.1%
#11   17.2% 20.4%
#12   34.2% 3.2%
#13   30.1% 0.2%
#14 0.1% 13.3%  
#15 2.3% 3.4%  
#16 22.0% 0.4%  
#17 58.0%    
#18 16.4%    
#19 1.1%    
Tournament invites: < 1% 84.7% 100.0%
New Hampshire #12 0.3%
#13 2.2%
#14 6.1%
#15 8.6%
#16 5.9%
#17 5.6%
#18 12.8%
#19 20.0%
#20 28.2%
#21 9.2%
#22 1.1%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#12     1.4%
#13     9.0%
#14     24.4%
#15     34.2%
#16     23.7%
#17   16.4% 6.1%
#18   49.9% 1.1%
#19 24.7% 30.5%  
#20 54.8% 3.2%  
#21 18.3% 0.0%  
#22 2.2%    
Tournament invites: 0.0% 0.0% 100.0%
Northeastern #12 0.3%
#13 3.5%
#14 13.9%
#15 29.1%
#16 32.3%
#17 13.9%
#18 6.6%
#19 0.3%
Tournament invites: 8.8%
n/a
Western Michigan #15 0.0%
#16 0.0%
#17 4.1%
#18 14.8%
#19 22.5%
#20 30.4%
#21 18.3%
#22 6.8%
#23 2.3%
#24 0.7%
#25 0.2%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#15     0.0%
#16     0.1%
#17   0.5% 15.5%
#18   3.2% 53.8%
#19   37.4% 27.6%
#20 30.5% 46.8% 3.0%
#21 40.1% 11.8%  
#22 20.2% 0.2%  
#23 6.8%    
#24 2.0%    
#25 0.5%    
Tournament invites: 0.0% 0.0% 100.0%
Ohio State #13 0.1%
#14 0.7%
#15 1.6%
#16 2.4%
#17 2.8%
#18 6.5%
#19 6.7%
#20 5.9%
#21 10.3%
#22 10.9%
#23 14.1%
#24 22.6%
#25 11.8%
#26 3.2%
#27 0.3%
Tournament invites: 12.5%
PWR Win 0 Win 1 Win 2 Win 3
#13       1.1%
#14       5.7%
#15       13.0%
#16       19.1%
#17       22.8%
#18     22.2% 29.4%
#19     44.5% 9.0%
#20   9.6% 27.6% 0.0%
#21   38.4% 5.7%  
#22 0.0% 43.6% 0.0%  
#23 24.0% 8.3%    
#24 45.3% 0.0%    
#25 23.7%      
#26 6.4%      
#27 0.6%      
Tournament invites: 0.0% 0.0% 0.0% 100.0%
Bowling Green #19 0.4%
#20 6.7%
#21 14.1%
#22 3.8%
#23 1.8%
#24 11.6%
#25 19.2%
#26 24.8%
#27 17.7%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#19     1.5%
#20     26.7%
#21     56.3%
#22     15.3%
#23   6.9% 0.2%
#24 4.9% 36.6%  
#25 20.0% 36.7%  
#26 40.9% 17.4%  
#27 34.1% 2.4%  
Tournament invites: 0.0% 0.0% 100.0%
AA #18 0.0%
#19 0.3%
#20 6.7%
#21 12.4%
#22 4.6%
#23 5.5%
#24 8.2%
#25 12.5%
#26 31.0%
#27 18.8%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#18     0.0%
#19     1.0%
#20     27.0%
#21     49.5%
#22   0.1% 18.4%
#23   17.8% 4.1%
#24 0.2% 32.4%  
#25 3.2% 43.7%  
#26 59.2% 5.6%  
#27 37.4% 0.4%  
Tournament invites: 0.0% 0.0% 100.0%
Denver #20 0.0%
#21 8.5%
#22 10.5%
#23 5.0%
#24 4.5%
#25 16.6%
#26 7.6%
#27 12.1%
#28 18.1%
#29 16.5%
#30 0.6%
#31 0.0%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#20     0.0%
#21     34.0%
#22     42.2%
#23     19.9%
#24   8.5% 3.9%
#25   39.8%  
#26 0.2% 18.1%  
#27 5.0% 25.0%  
#28 43.8% 8.4%  
#29 49.1% 0.3%  
#30 1.8%    
#31 0.1%    
Tournament invites: 0.0% 0.0% 100.0%
Mercyhurst #27 0.2%
#28 0.9%
#29 23.6%
#30 0.4%
#31 32.1%
#32 35.1%
#33 7.1%
#34 0.6%
#35 0.0%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#27     0.9%
#28     3.7%
#29   0.0% 94.5%
#30   1.2% 0.3%
#31 31.4% 64.9% 0.7%
#32 54.8% 30.7%  
#33 12.6% 3.1%  
#34 1.3%    
#35 0.0%    
Tournament invites: 0.0% 0.0% 100.0%
Miami #27 0.2%
#28 0.5%
#29 6.4%
#30 14.4%
#31 15.7%
#32 20.3%
#33 7.8%
#34 17.3%
#35 8.2%
#36 4.9%
#37 4.4%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#27     0.9%
#28     2.0%
#29     25.6%
#30   0.0% 57.6%
#31   29.8% 13.1%
#32 0.0% 48.2% 0.7%
#33 1.1% 17.7%  
#34 46.4% 4.3%  
#35 24.7% 0.0%  
#36 14.7%    
#37 13.1%    
Tournament invites: 0.0% 0.0% 100.0%
Michigan State #27 1.0%
#28 2.0%
#29 4.6%
#30 3.0%
#31 2.0%
#32 1.5%
#33 2.3%
#34 4.8%
#35 7.2%
#36 6.8%
#37 31.0%
#38 33.8%
Tournament invites: 12.5%
PWR Win 0 Win 1 Win 2 Win 3
#27       8.0%
#28       15.9%
#29       37.1%
#30       24.0%
#31     3.9% 12.4%
#32     9.6% 2.4%
#33     18.3% 0.2%
#34   0.9% 36.5%  
#35   12.9% 31.7%  
#36   27.1%    
#37 32.5% 59.1%    
#38 67.5%      
Tournament invites: 0.0% 0.0% 0.0% 100.0%
Robert Morris #44 20.4%
#45 4.6%
#46 0.0%
#47 14.4%
#48 49.7%
#49 10.8%
#50 0.0%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#44     81.4%
#45     18.5%
#46   0.0% 0.1%
#47 5.3% 47.2%  
#48 74.6% 49.7%  
#49 20.1% 3.1%  
#50 0.1%    
Tournament invites: 0.0% 0.0% 100.0%
Canisius #44 0.1%
#45 7.4%
#46 9.7%
#47 7.8%
#48 17.0%
#49 36.5%
#50 19.6%
#51 1.9%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#44     0.5%
#45     29.5%
#46     38.8%
#47     31.2%
#48 12.1% 43.8%  
#49 47.9% 50.0%  
#50 36.1% 6.2%  
#51 3.9%    
Tournament invites: 0.0% 0.0% 100.0%
Niagara #45 2.6%
#46 6.1%
#47 24.6%
#48 8.0%
#49 7.3%
#50 41.4%
#51 9.9%
Tournament invites: 25.0%
PWR Win 0 Win 1 Win 2
#45     10.5%
#46     24.4%
#47   33.2% 65.0%
#48   32.0% 0.1%
#49 0.4% 28.6%  
#50 79.8% 6.2%  
#51 19.8%    
Tournament invites: 0.0% 0.0% 100.0%
Penn State #45 0.0%
#46 0.2%
#47 2.8%
#48 9.2%
#49 2.2%
#50 2.7%
#51 11.2%
#52 69.7%
#53 2.0%
Tournament invites: 12.5%
PWR Win 0 Win 1 Win 2 Win 3
#45       0.0%
#46       1.3%
#47       22.3%
#48     4.0% 70.0%
#49     11.0% 6.4%
#50     21.4%  
#51   13.2% 63.6%  
#52 95.9% 86.8%    
#53 4.1%      
Tournament invites: 0.0% 0.0% 0.0% 100.0%

The calculation ambiguity mentioned in the previous post has been resolved.

Conference tournament weekend PWR outlook

The following conclusions are based on an exhaustive search of all possible remaining outcomes (about 3,145,728 of them). Any percentages given are not weighted by likelihood or team strength, but instead represent the share of remaining scenarios in which that outcome occurs.

The following teams will make the NCAA tournament regardless of what happens this weekend:

  • #1 Minnesota
  • #2 Boston College (not playing)
  • #3 Union
  • #4 Ferris State
  • #5 Wisconsin
  • #6 Quinnipiac
  • #7 Mass.-Lowell
  • #8 Notre Dame

The following teams are extremely likely to make the NCAA tournament, but there are some outlier scenarios that could knock them out:

  • #9 Providence (in for sure with a win, selected in 97% of 0 win scenarios)
  • #10 St. Cloud St (not playing, selected in over 99% of scenarios)

The following teams have some chance of making it regardless of outcome:

  • #11 Michigan (selected in 21% of scenarios with no wins, selected in 96% of scenarios with 1 win)
  • #12 Minnesota State (selected in 6% of scenarios with no wins, selected in 54% of scenarios with 1 win)
  • #14 Vermont (not playing, selected in 69% of scenarios)
  • #15 Colgate (selected in 2% of scenarios with no wins, selected in 77% of scenarios with 1 win)
  • #16 Cornell (selected in <1% of scenarios with no wins, selected in 85% of scenarios with 1 win)
  • #18 Northeastern (not playing, selected in 8% of scenarios)

The following teams need a win to make it:

  • #13 North Dakota (out with two losses, selected in 41% of scenarios with 1 win). UND is an outlier from the group above because the NCHC has a consolation game, so no wins actually means two losses instead of one.

The following teams need to win the conference tournament to get a bid:

  • #17 New Hampshire
  • #19 Western Michigan
  • #21 Ohio State
  • #24 Bowling Green
  • #25 Alaska Anchorage
  • #26 Denver
  • #31 Mercyhurst
  • #32 Miami
  • #37 Michigan State
  • #47 Robert Morris
  • #48 Canisius
  • #49 Niagara
  • #52 Penn State

Note – as of this writing there seems to be some discrepancy between the USCHO PWR calculator and CHN PWR calculator that I’m trying to work out. I feel pretty good about these numbers so wanted to get them out there rather than wait, but there’s a possibility of small revisions if new information comes to light.

Resources

Final regular season Pairwise forecast

One last week of mixed games — five conferences are in best-of-three quarterfinals, while one is playing its last week of the regular season.

About these forecasts

I’m again going to look just one week ahead because of the mix of games, though we’re starting to get a pretty good idea where the break lines are of teams that are locks for the NCAA tournament and those that can only make it by winning their conference tournaments. There are quite a few teams in the middle still capable of winning their way to an at-large bid.

If you didn’t read Feb. 26’s article, I’d urge you to check out the part that explains what I mean by a particular outcome being “likely”.

Teams that could fall to the bubble if swept

Every conference except the Big Ten is a best-of-three playoff round, meaning that any non-Big Ten team that loses two games this weekend won’t play any more games before the NCAA tournament selection. While teams’ PWR rankings can move a bit when idle, they’re pretty unlikely to make big moves. So, to determine teams’ worst case outcomes if swept we look at their likely PWR rankings following such an outcome this weekend and assume they’ll go into NCAA tournament selection with PWRs in the same neighborhoods.

#7 Quinnipiac is the highest ranked team with a noticeable chance of falling to the bubble (about a 16% chance of falling to #13 or lower if swept this weekend).

quinnipiac

For #8 Mass.-Lowell, that jumps to about 29% chance of falling to #13 or lower if swept this weekend. For #9 Notre Dame, about 39% chance of falling to #13 or lower if swept.

masslowell

notredame

Note that it’s also possible for a team that emerges victorious this weekend to end up with a lower PWR ranking going into NCAA selection due to a subsequent loss in a conference tournament.

Teams that could fall out of contention if swept

#10 North Dakota is the highest ranked team with a significant chance of falling out of contention if swept this weekend, with a ranking of #15-#18 most likely following such a result. It may prove to be possible to climb a couple spots while idle or even make the tournament from #15, but it’s not most likely.

northdakota

#11 Providence and #12 Vermont face similar outlooks.

providence

vermont

Teams that probably need to win this round

#13 Cornell is the highest ranked team with very little chance of staying in contention if swept this weekend, with a ranking of #18-#20 most likely if swept or #16-#19 most likely with a single win. Winning the round would keep Cornell in contention, most likely landing between #10-#15 (the broad range is attributable to two wins being achievable with either zero or one losses).

cornell

#14 Michigan will fall to the bottom of the bubble if swept this weekend, but has not yet entered its conference tournament so would get one more chance to make up ground next weekend.

michigan

#15 Northeastern is likely to fall out of contention if swept, or (unlike Cornell) move above the bubble with two wins.

northeastern

#16 Colgate, #17 Mankato, and #18 Yale also fall out of contention if swept. Colgate and Minnesota State climb just to the bottom of the bubble with two wins (#13-#17 and #13-#16 most likely, respectively), while Yale is more likely to climb above the bubble with two wins (#10-#14 most likely).

colgate

mankato

yale

Teams that can barely make the bubble with two wins

#19 Minnesota Duluth has only a 1% chance of making #13 or above with two wins this weekend, or a 15% chance of making #15 or above. #20 New Hampshire and #21 Western Michigan face similarly daunting outlooks.

minnesotaduluth

newhampshire

westernmichigan

Remember that after winning this weekend, three more wins would get any of these teams a conference tournament victory and auto-bid, so the chances for an at-large bid are really only interesting if you assume the conference tournament is going to end in a loss. It’s possible for one of these teams to get into position for an at-large bid with a sweep this weekend and then one or two wins followed by a loss, but not most likely.

#22 Maine fares slightly better, looking at about a 6% chance of landing at #13 or higher with two wins or a 31% chance of making #15 or above.

maine

Teams that probably need to win their conference tournaments

#23 Ohio State can’t quite get to the bubble (no higher than #17 likely) even with two wins this weekend. Following such an outcome with two wins and a loss at the Big Ten conference tournament could be enough to get OSU onto the bubble, but it would take some luck.

ohiostate

#24 Clarkson and below aren’t even likely to break #20 with two wins this weekend. It’s hard to imagine one or two wins and a loss being enough to push any of them into place for an at-large bid.

Methodology

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.

Resources

Transition week rankings outlook

It’s an interesting week as one conference has two remaining weekends of regular season contests, two enter their final weekends, two begin best of three rounds in their conference tournaments, and one has a single elimination round.

Review of last week’s results

To keep me honest, we’ll first have a very quick review of last week’s forecasts. I’ll focus on the extraordinary results rather than recap the entire column.

#9 Northeastern was designated the highest ranked team that could fall to the bubble (#13-#16 most likely) if swept. After two losses, they fell to #15.

#15 Notre Dame was designated a bubble team that could climb off the bubble (#10-#13 most likely) with a win. The Fighting Irish pulled off the upset and climbed to #10.

#16 Providence was also designated a team that could climb off the bubble (most likely #10-#13) with a sweep. The Friars swept Maine and climbed to #11.

Of teams just below the bubble, only #19 Minnesota State pulled off the required sweep and climbed to #17—the lower end of the likely #15-#17 from the forecast.

About these forecasts

I’m again going to look just one week out because of the unusual mix of games.

If you didn’t read last week’s forecasts, I’d urge you to check out the part that explains what I mean by a particular outcome being “likely”.

Who could fall to the bubble this weekend

#9 remains the break point of being likely to fall to the bubble with a bad performance. This week it’s North Dakota (#14-#16 most likely if swept).

northdakota

#10 Notre Dame has a pretty broad spread as to how far it could fall with a loss in its single game this weekend, with #12-#16 most likely. Note that the Hockey East tournament has begun and ND is in a single elimination game, so a loss would place them firmly on the bubble and out of control of their destiny.

notredame

With no games this weekend, #11 Providence can’t quite fall to the bubble.

providence

#12 Michigan is facing down a cliff, likely to fall onto the bubble with a split (#12-#17 likely) or below the bubble if swept (#17-#19 most likely).

michigan

Quiet weekend on the bubble

#13 Cornell, #15 Northeastern, and #16 Colgate don’t play this weekend, but could still move a little in either direction.

cornell

northeastern

colgate

#14 Vermont climbs a bit higher (#12-#14 most likely) with a win in its single game this weekend, or falls off (#16-#18 most likely) with a loss. Vermont is also in a single elimination game in the HE tournament, so this game weighs heavily on their fate.

vermont

Few teams can climb onto the bubble

A sweep would likely land #17 Minnesota State between #12-#15.

mankato

#18 Minnesota-Duluth can barely climb onto the bubble, with #14-#16 most likely with a sweep.

minnesotaduluth

#22 Ohio State is an honorable mention, with a likely climb to #16-#19 with an unlikely sweep of #1 Minnesota.

ohiostate

Teams facing possible elimination this weekend

A few teams playing in conference tournaments this weekend only have hope for an at-large bid with a few wins:

#19 Yale is most likely to climb to #17-#19 with two wins this weekend

yale

A win in its single elimination game this weekend doesn’t move #21 Maine much, with a #20-#22 range the most likely outcome. But hope would remain for an at large bid.

maine

#24 Clarkson wouldn’t budge much even with two wins this weekend, likely to #22-#25. That’s not very promising.

clarkson

Teams playing this weekend that not only need to win this weekend, but probably also their conference tournaments, to see the NCAA tournament:

  • #31 St Lawrence
  • #36 Brown
  • #37 Harvard
  • #44 Boston University
  • #45 Dartmouth
  • #46 Massachusetts
  • #47 Merrimack
  • #49 Robert Morris
  • #52 Niagara
  • #51 Holy Cross
  • #53 Canisius
  • #54 RIT
  • #55 Sacred Heart
  • #56 Princeton
  • #57 American International
  • #59 Army

Methodology

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.

Resources

Weekend’s Pairwise Ranking outlook

Last week I wrote an update on the break lines for NCAA tournament chances. Because it targeted the end of the regular season, its predictions still hold. So, this week I’ll take a shorter term look at what’s likely to happen this weekend.

What the forecasts really mean (there is some math)

These forecasts are not yet to the precision of completely mathematically eliminating outcomes. The number of possible outcomes is still so large that it wouldn’t be as useful to (and I can’t!) go into the detail of what’s mathematically possible and not until the conference tournaments.

Instead, I’ll refer to outcomes with at least a 10% probability as “likely”, and outcomes with a 1% probability as something that “could happen”. That suggests that one time out of ten, you’re going to see a “could happen” outcome instead of a “likely” one. It also suggests that one time out of a hundred you’re going to see an outcome outside what I even declared “could happen”.

The probabilities of possible outcomes do have a bell-shaped distribution, as you’ll see in the graphs, so when I say “a range of #10-#13 is likely” it’s usually most likely (over a 50% chance) of being in the middle of the range, #11-#12 in this case.

Who could fall to the bubble

#7 Quinnipiac and #8 Mass.-Lowell seem relatively safe, neither being likely to drop below #13 even if swept (though drops as low as #14 could happen for each).

quinnipiac

masslowell

#9 Northeastern is the highest ranked team with an obvious chance to fall to the bubble, with a drop to #13-#16 likely if swept.

northeastern

#10 UND (#12-#14 likely and #16 could happen), #11 Cornell (#17-#19 likely and #21 could happen), and #12 Vermont (#16-#19 likely and #20 could happen) face similar downsides to the bubble if swept.

northdakota

cornell

vermont

What will the bubble teams do?

Now it gets interesting. While the bubble teams can all fall off the bubble if swept or shore up their position with a sweep, those on the upper part of the bubble seem to face more downside while those on the lower part of the bubble seem to face more upside.

#13 Colgate is likely to fall to #18-#20 if swept (as low as #21 could happen), rise to #10-#13 with a sweep (as high as #9 could happen), or stay about the same or fall slightly with a split.

colgate

Similarly, #14 Michigan is likely to fall to #18-#20 if swept (as low as #22 could happen), rise to #10-#12 with a sweep (as high as #9 could happen), or stay about the same or fall slightly with a split.

michigan

#15 Notre Dame only plays one game this weekend. A win would result in a likely climb to #10-#13 (as high as #9 could happen), while a loss would result in a likely fall to #15-#17 (as low as #18 could happen).

notredame

#16 Providence would likely climb to #10-#13 with a sweep (as high as #9 could happen), but is also likely to rise modestly to #13-#15 with a split.

providence

Teams that could climb onto the bubble

#17 Maine would likely climb to #11-#14 with a sweep (as high as #10 could happen).

maine

#18 Yale would likely climb to #13-#16 with a sweep (as high as #12 could happen). But, for Yale a split is likely to result in a modest drop to #18-#20.

yale

#19 Minnesota State and #20 New Hampshire can just reach the bottom of the bubble, with rankings ranging from #15-#17 and #16-#18 respectively likely with a sweep (#13 and #14 could happen for each respectively).

minnesotastate

newhampshire

Methodology

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.

Resources

Update on each team’s tournament chances

As the regular season pushes into its final month, I’ll do more frequent updates on who’s a lock for an at-large bid and who’s out of the running.

Calculation details

The way I judge that is by forecasting each team’s Pairwise Ranking, and determining how likely the team is to finish in the top 12.

Readers may recall previous controversy about the PWR rankings, which was apparently resolved last weekend when USCHO adopted the formula CHN has been using. This site continues to use that same formula as the basis for its predictions.

End of regular season outlook

Last week I stated that #8 Mass.-Lowell was the last lock, which remains true this week. Their chance of falling to #13 or below by the end of the regular season has fallen to about 2.5%. Just below them, #9 Northeastern is the highest ranked team with a serious chance of dropping out, with about a 24% chance of falling to #13 or lower.

MassLowell

Northeastern

The dividing line for controlling their own destiny appears to around #19 at first glance, in that #19 Mankato can clearly make it while #20 New Hampshire is in trouble.

Mankato

NewHampshire

But, at this level and point in the season, the different number of games remaining is starting to matter. #21 Yale and #22 Denver both stand noticeably better chances than Yale.

Yale

Denver

Finally, the “remote mathematical chance of making it if they close out the season perfectly” line has climbed to about #27 Alaska Anchorage. #28 Nebraska-Omaha and below need conference tournament success to make the NCAAs.

AlaskaAnchorage

NebraskaOmaha

Methodology

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.

Resources

PWR formula uncertainty resolved

The previously dueling PWR implementations (see Uncertainty around PWR calculation) seem to have been resolved for now. This weekend, USCHO changed the formula it uses to calculate PWR so its tables now match those on CHN and SiouxSports. Previously, USCHO had weighted only the win% component while the others had weighted all components (win%, opponents win%, and opponents opponents win%).

As of right now, all three tables are identical:

Reading USCHO’s change as a sign that they received confirmation that their previous method was incorrect, this is great news for college hockey fans as it lifts the uncertainty that was previously hanging over the dueling implementations.

One month outlook for the end of the regular season

With conference tournaments just a month or so away, this week I’ll take another look toward the end of the regular season — who’s a lock for an at-large bid, and who’s out of the running.

PWR calculation details

Readers of this blog probably already know that the RPI and PWR formulas for hockey changed this year. As I mentioned in a previous column—Dueling PWRs—there are currently two different interpretations of the new formulas. USCHO and CollegeHockeyNews implement the home/away weightings for RPI a bit differently.

From this post forward, unless otherwise stated the calculations referred to on this blog match the CHN implementation. Though I think that the more correct implementation, I will continue to monitor the situation.

End of regular season outlook

#1 Boston College and #2 Minnesota are likely duking it out for the top two rankings, unless one has a serious slump.

bc

umn

#8 Mass.-Lowell is the highest ranked team with a reasonable chance (about 7%) of falling to #13 or lower, so the top 8 can feel reasonably secure that they’ll be going into the conference tournaments in place for an at-large bid.

masslowell

From #8 Mass-Lowell to about #19 Yale, the teams control their own destinies. Winning puts them in position for an at-large bid, losing does not.

yale

#20 Clarkson through #29 Nebraska-Omaha have outside chances of climbing into the top 14 or so with stellar performances. They’re not mathematically eliminated, but would need nearly flawless runs to climb into position for an at-large bid.

clarkson

uno

#30 Brown and below are extremely unlikely to be in position to make the NCAA tournament at large going into the conference tournaments, so their best hopes for a bid would be winning their conference tournaments.

brown

Methodology

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.

Resources

Pairwise Ranking outlook for this weekend

Quite a few teams have an opportunity to make big moves this weekend.

Before I jump into the weekend’s forecast, be warned that some dispute has arisen in the college hockey online media world over the proper implementation of the NCAA’s 2014 revisions to the tournament selection process (see Uncertainty around PWR calculation). These forecasts currently assume the USCHO PWR formula.

Review of last week’s forecasts

Last week I highlighted the teams poised to make the biggest moves with extraordinary performances (both positive and negative).

Of Yale, Clarkson, Michigan, Minnesota-Duluth, New Hampshire, Western Michigan, and Michigan State, only New Hampshire delivered the necessary extraordinary performance. As predicted, the then #22 Wildcats experienced a significant move up, landing at #14 going into this weekend.

Poised to climb

A few teams in the 20s face particularly lopsided upside opportunities this weekend.

#23 Ohio State is most likely to jump to 15-18 with a sweep (though as high as 13 is plausible)
#26 Brown is most likely to jump to 17-18 with two wins (though as high as 14 is plausible)
#20 Yale is most likely to jump to 12-14 with two wins (though as high as 11 is plausible)

ohiostate

brown

yale

Poised to fall

Just inside the bubble seems to be a bad place to be, as a few teams in the teens face particularly lopsided downside opportunities this weekend.

#13 Minnesota-Duluth is most likely to fall to 19-20 if swept (though as low as 23 is plausible)
#14 New Hampshire is most likely to fall to 21-22 if swept (though as low as 25 is plausible)
#15 North Dakota is most likely to fall to 22-23 if swept (though as low as 26 is plausible)
#16 Notre Dame is most likely to fall to 23-24 if swept (though as low as 27 is plausible)

minnesotaduluth

newhampshire

northdakota

notredame

Could go either way

The #11 Wisconsin Badgers face the biggest combined upside/downside. Though their most likely outcomes are climbing up to 7-8 with a sweep or falling to 18-20 if swept, as high as #4 or as low as #23 after this weekend are plausible.

winsconsin

Methodology

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.

Resources

Uncertainty around PWR calculation

Some uncertainty apparently still persists around the NCAA’s new tournament selection criteria for men’s hockey.

CollegeHockeyNews unveiled its first Pairwise Rankings for the season (CHN PWR), and their implementation is a bit different from USCHO’s (USCHO PWR).

The differences aren’t just discrepancies in the underlying game data (e.g. neutral ice vs. not), but instead seem to be modest differences in the way the game weights are applied. CHN acknowledged that:

“But while the committee was transparent in how the weightings and Bonus were supposed to be done in general, it didn’t completely explain how the numbers were supposed to be applied against the existing RPI. There are different ways to do it.

Therefore, different sites are showing slightly different results. And we’ve been fielding constant questions as to why ours doesn’t match what’s being shown elsewhere.”

This PWR on this site has mimicked what USCHO has been publishing, though I’ll certainly keep an eye on developments.

Hopefully people in the know can help everyone converge on a common understanding of the new criteria, or there could be some surprises come tournament time for the first time in many years!