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KRACH Ratings

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KRACH is endorsed by College Hockey News as the best system to objectivly 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 Denver 616.5 .8312 2 25-7-4 .7500 3.000 7 205.5
2 Miami 545.7 .8145 1 24-5-7 .7639 3.235 13 168.7
3 Wisconsin 465.4 .7912 5 22-9-4 .6857 2.182 4 213.3
4 North Dakota 367.1 .7534 9T 20-11-5 .6250 1.667 3 220.3
5 St. Cloud State 340.6 .7407 9T 20-11-5 .6250 1.667 8 204.3
6 Boston College 290.9 .7128 6T 21-10-3 .6618 1.957 24 148.7
7 Minnesota-Duluth 250.9 .6856 19 20-15-1 .5694 1.323 10 189.7
8 Bemidji State 250.5 .6853 3 23-8-3 .7206 2.579 34 97.1
9 Colorado College 246.6 .6823 23 18-15-3 .5417 1.182 6 208.6
10 Alaska 242.8 .6794 9T 18-9-9 .6250 1.667 25 145.7
11 New Hampshire 238.2 .6758 18 16-11-7 .5735 1.345 12 177.1
12 Minnesota 224.8 .6646 32T 17-17-2 .5000 1.000 2 224.8
13 Michigan State 224.0 .6640 13T 19-11-6 .6111 1.571 28 142.6
14 Northern Michigan 218.3 .6590 16 17-11-8 .5833 1.400 18 155.9
15 Ferris State 213.2 .6544 13T 19-11-6 .6111 1.571 32 135.7
16 Nebraska-Omaha 208.2 .6497 17 20-14-6 .5750 1.353 20 153.9
17 Vermont 198.7 .6405 22 15-12-7 .5441 1.194 14 166.5
18 Yale 193.8 .6356 4 19-7-3 .7069 2.412 39 80.4
19 Michigan 186.3 .6277 21 21-17-1 .5513 1.229 22 151.6
20 Mass.-Lowell 172.2 .6119 20 18-14-4 .5556 1.250 30 137.7
21 Maine 171.2 .6107 28T 16-15-3 .5147 1.061 15 161.4
22 Cornell 170.1 .6094 8 17-8-4 .6552 1.900 35 89.5
23 Boston University 169.3 .6085 28T 16-15-3 .5147 1.061 16 159.7
24 Massachusetts 161.8 .5993 26T 18-16-0 .5294 1.125 27 143.8
25 Minnesota State 161.5 .5989 38T 15-18-3 .4583 .846 9 190.8
26 Ohio State 158.8 .5955 35 14-16-6 .4722 .895 11 177.5
27 Northeastern 152.8 .5877 32T 16-16-2 .5000 1.000 21 152.8
28 Merrimack 138.8 .5678 36 15-17-2 .4706 .889 17 156.1
29 Union 123.3 .5434 12 18-10-6 .6176 1.615 40 76.3
30 Lake Superior 119.4 .5367 37 15-18-5 .4605 .854 29 139.8
31 Notre Dame 116.7 .5320 40 13-17-8 .4474 .810 26 144.1
32 Alaska-Anchorage 115.5 .5298 50T 11-21-2 .3529 .545 5 211.7
33 Quinnipiac 81.6 .4580 24 19-16-2 .5405 1.176 46 69.3
34 St. Lawrence 81.0 .4567 25 17-14-7 .5395 1.171 47 69.2
35 Colgate 80.3 .4550 26T 15-13-6 .5294 1.125 45 71.4
36 Rensselaer 76.8 .4458 31 18-17-4 .5128 1.053 44 73.0
37 Western Michigan 75.5 .4423 53 8-20-8 .3333 .500 23 151.0
38 Providence 74.5 .4396 50T 10-20-4 .3529 .545 31 136.5
39 Robert Morris 61.6 .4017 47 10-18-5 .3788 .610 33 101.0
40 Princeton 57.0 .3864 41 12-16-3 .4355 .771 42 73.9
41 Niagara 54.6 .3781 46 11-19-4 .3824 .619 36 88.2
42 Michigan Tech 47.9 .3533 58 5-28-1 .1618 .193 1 248.3
43 Alabama-Huntsville 47.4 .3511 45 10-17-3 .3833 .622 41 76.2
44 RIT 47.1 .3501 6T 22-11-1 .6618 1.957 52 24.1
45 Bowling Green 44.4 .3389 56 5-25-6 .2222 .286 19 155.2
46 Harvard 43.0 .3332 52 9-19-3 .3387 .512 37 83.9
47 Dartmouth 41.0 .3245 49 10-19-3 .3594 .561 43 73.1
48 Brown 38.9 .3152 48 10-18-4 .3750 .600 48 64.8
49 Sacred Heart 34.5 .2943 15 18-12-4 .5882 1.429 51 24.2
50 Clarkson 34.4 .2936 54 9-24-4 .2973 .423 38 81.3
51 Air Force 25.0 .2415 32T 14-14-6 .5000 1.000 49 25.0
52 Canisius 22.6 .2263 28T 15-14-5 .5147 1.061 58 21.3
53 Mercyhurst 19.4 .2048 38T 15-18-3 .4583 .846 54 23.0
54 Army 18.1 .1955 43 11-16-7 .4265 .744 50 24.4
55 Holy Cross 17.1 .1877 42 12-17-6 .4286 .750 55 22.8
56 Bentley 14.3 .1654 44 12-19-4 .4000 .667 57 21.5
57 Connecticut 7.6 .1006 55 7-25-3 .2429 .321 53 23.7
58 American Int'l 5.9 .0811 57 5-24-4 .2121 .269 56 22.0
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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