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2011-2012 KRACH Ratings

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KRACH is endorsed by College Hockey News as the best system to objectively rank teams. It stands for "Ken's Ratings for American College Hockey", because it was a statistician named Ken Butler who first implemented the methodology for college hockey.

Note: The ratings are immediately updated as results come in. For more, see below the chart or view the FAQ.

Rk Team KRACH Record Sched Strength
Rating RRWP Rk W-L-T Pct Ratio Rk SOS
1 Minnesota-Duluth 351.0 .7511 1 18-5-4 .7407 2.857 28 122.8
2 Boston University 340.1 .7456 5T 16-8-1 .6600 1.941 11 175.2
3 Michigan 320.9 .7354 9 16-9-4 .6207 1.636 5 196.1
4 Boston College 315.7 .7325 13T 16-10-1 .6111 1.571 2 200.9
5 Mass.-Lowell 307.2 .7276 2 17-7-0 .7083 2.429 25 126.5
6 Notre Dame 304.5 .7260 16 16-10-3 .6034 1.522 3 200.1
7 Ferris State 291.6 .7182 7 17-8-4 .6552 1.900 17 153.5
8 Maine 281.9 .7119 8 15-8-3 .6346 1.737 14 162.3
9 Minnesota 257.0 .6946 4 19-9-1 .6724 2.053 27 125.2
10 Northern Michigan 255.5 .6934 23 12-9-6 .5556 1.250 1 204.4
11 Ohio State 253.4 .6919 18 14-9-5 .5893 1.435 9 176.6
12 Merrimack 246.1 .6863 5T 14-6-5 .6600 1.941 24 126.8
13 Michigan State 242.8 .6837 24T 14-11-4 .5517 1.231 4 197.3
14 Miami 239.7 .6812 24T 15-12-2 .5517 1.231 6 194.7
15 Western Michigan 232.2 .6750 22 14-10-5 .5690 1.320 10 175.9
16 North Dakota 208.4 .6536 17 15-10-2 .5926 1.455 18 143.3
17 Lake Superior 196.9 .6422 27 14-11-5 .5500 1.222 15 161.1
18 Colorado College 195.1 .6404 10 15-9-1 .6200 1.632 30 119.6
19 Denver 192.4 .6376 13T 15-9-3 .6111 1.571 29 122.5
20 Northeastern 180.6 .6247 32T 11-11-3 .5000 1.000 8 180.6
21 Union 174.7 .6178 3 16-6-6 .6786 2.111 40 82.7
22 Cornell 139.1 .5702 12 11-6-5 .6136 1.588 37 87.6
23 Bemidji State 132.9 .5605 32T 12-12-3 .5000 1.000 22 132.9
24 St. Cloud State 128.5 .5533 41 11-14-4 .4483 .812 16 158.1
25 Alaska 127.3 .5513 47 9-14-4 .4074 .688 7 185.1
26 Nebraska-Omaha 125.5 .5484 28T 12-10-5 .5370 1.160 33 108.2
27 Colgate 122.3 .5428 19T 14-10-3 .5741 1.348 36 90.7
28 New Hampshire 121.2 .5409 46 10-14-2 .4231 .733 13 165.3
29 Wisconsin 120.0 .5389 35T 12-13-2 .4815 .929 23 129.3
30 Massachusetts 119.9 .5386 39 9-11-5 .4600 .852 19 140.7
31 Harvard 111.0 .5222 31 7-6-9 .5227 1.095 35 101.3
32 Providence 107.8 .5160 43 10-13-2 .4400 .786 20 137.2
33 Michigan Tech 106.4 .5132 35T 12-13-2 .4815 .929 31 114.6
34 Quinnipiac 98.8 .4975 19T 13-9-5 .5741 1.348 42 73.3
35 Bowling Green 71.7 .4300 50T 8-16-5 .3621 .568 26 126.3
36 Clarkson 69.4 .4234 30 13-11-5 .5345 1.148 46 60.5
37 Dartmouth 68.5 .4205 32T 9-9-4 .5000 1.000 43 68.5
38 Princeton 64.2 .4074 44 7-10-6 .4348 .769 39 83.5
39 RIT 64.1 .4072 13T 15-9-3 .6111 1.571 50 40.8
40 Minnesota State 58.0 .3871 50T 10-18-1 .3621 .568 34 102.2
41 Niagara 57.8 .3862 19T 12-8-7 .5741 1.348 48 42.9
42 Yale 55.4 .3779 40 9-11-2 .4545 .833 44 66.5
43 St. Lawrence 54.6 .3752 48 9-15-3 .3889 .636 38 85.9
44 Air Force 54.2 .3738 11 13-7-6 .6154 1.600 56 33.9
45 Alaska-Anchorage 52.4 .3669 53 6-17-2 .2800 .389 21 134.7
46 Brown 48.2 .3509 45 8-11-3 .4318 .760 45 63.4
47 Robert Morris 46.1 .3425 28T 13-11-3 .5370 1.160 51 39.8
48 Mercyhurst 44.5 .3356 24T 14-11-4 .5517 1.231 54 36.1
49 Vermont 44.4 .3353 56 5-20-1 .2115 .268 12 165.5
50 Connecticut 40.6 .3188 35T 12-13-2 .4815 .929 47 43.7
51 Holy Cross 36.7 .3007 38 11-13-3 .4630 .862 49 42.6
52 Rensselaer 32.7 .2808 52 7-18-2 .2963 .421 41 77.7
53 Bentley 30.4 .2684 42 9-12-6 .4444 .800 52 38.0
54 Canisius 20.7 .2095 49 8-15-4 .3704 .588 55 35.2
55 Army 12.9 .1501 54 3-15-7 .2600 .351 53 36.8
56 Alabama-Huntsville 11.2 .1345 58 2-25-1 .0893 .098 32 114.0
57 American Int'l 8.3 .1067 55 5-20-2 .2222 .286 58 29.1
58 Sacred Heart 3.3 .0463 57 2-24-1 .0926 .102 57 31.9
RRWPRound Robin Winning Percentage. A team's theoretical winning percentage would be if you played every other team, one time each.
RatioThe Ratio of wins to losses (as opposed to Win %, which is wins divided by games).
SOSStrength of Schedule

Note: For the purposes of NCAA eligibility (and therefore KRACH), a team's record is based only on games against other Division I hockey schools which are eligible for the NCAA Tournament.

KRACH Explained

As explained above, KRACH is the implementation of a sophisticated mathematical model known as the Bradley-Terry rating system, first applied to college hockey by a statistician named Ken Butler. While the model is sophisticated, and needs a computer to calculate, its essential meaning is actually quite simple.

The key to understanding KRACH is understanding that it's calculated recursively, so that the end result is self-evident by the results. In other words, if you took one team's schedule to date, and played a theoretical "game" for each game already actually played, using the KRACH ratings themselves in order to predict the winner, then the end result would be a theoretical won-loss percentage that matches the team's actual won-loss percentage. Pretty cool.

It is not possible to do any better than that with a completely objective method. Any other method introduces arbitrary-ness and/or subjectivity.

(See the FAQ for a more complete explanation.)

More detailed explanations of the KRACH ratings can be found under the following links


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