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 Michigan 769.4 .8567 1 31-5-4 .8250 4.714 12 163.2
2 North Dakota 613.7 .8289 5 26-10-4 .7000 2.333 1 263.0
3 Colorado College 585.3 .8226 4 28-11-1 .7125 2.478 7 236.2
4 Miami 558.6 .8163 2 32-7-1 .8125 4.333 24 128.9
5 Denver 471.8 .7922 7T 26-13-1 .6625 1.963 5 240.4
6 New Hampshire 427.7 .7773 3 25-9-3 .7162 2.524 11 169.5
7 Michigan State 294.5 .7151 7T 24-11-5 .6625 1.963 20 150.0
8 St. Cloud State 285.5 .7096 19 19-15-5 .5513 1.229 9 232.4
9 Minnesota 268.4 .6984 21 19-16-9 .5341 1.146 8 234.1
10 Boston College 265.7 .6965 10 21-11-8 .6250 1.667 15 159.4
11 Minnesota State 239.0 .6768 20 19-16-4 .5385 1.167 10 204.9
12 Wisconsin 230.4 .6699 31 15-16-7 .4868 .9487 4 242.8
13 Minnesota-Duluth 204.6 .6469 40 13-17-6 .4444 .8000 2 255.8
14 Notre Dame 192.5 .6349 13 24-15-4 .6047 1.529 27 125.8
15 Michigan Tech 185.3 .6273 43 14-20-5 .4231 .7333 3 252.6
16 Clarkson 180.7 .6224 11 21-12-4 .6216 1.643 31 110.0
17 Boston University 177.0 .6182 25 19-17-4 .5250 1.105 14 160.1
18 Vermont 171.0 .6113 23T 17-15-7 .5256 1.108 17 154.3
19 Princeton 157.1 .5940 12 21-13-0 .6176 1.615 34 97.26
20 Massachusetts 143.5 .5755 35 14-16-6 .4722 .8947 13 160.4
21 Northern Michigan 140.5 .5710 28T 20-20-4 .5000 1.000 22 140.5
22 Northeastern 138.3 .5677 34 16-18-3 .4730 .8974 18 154.1
23 Harvard 134.5 .5620 18 17-13-4 .5588 1.267 32 106.2
24 Mass.-Lowell 134.3 .5617 32 16-17-4 .4865 .9474 21 141.8
25 Providence 130.7 .5561 38 14-17-5 .4583 .8462 16 154.5
26 Cornell 124.1 .5452 15 19-14-3 .5694 1.323 37 93.82
27 Nebraska-Omaha 115.0 .5294 33 17-19-4 .4750 .9048 25 127.1
28 Maine 112.6 .5248 42 13-18-3 .4265 .7436 19 151.4
29 Ferris State 112.2 .5242 23T 18-16-5 .5256 1.108 33 101.3
30 Alaska-Anchorage 104.0 .5083 55 7-21-8 .3056 .4400 6 236.5
31 Quinnipiac 99.14 .4982 17 20-15-4 .5641 1.294 44 76.61
32 Bowling Green 98.03 .4958 36 18-21-0 .4615 .8571 30 114.4
33 Niagara 97.14 .4939 6 22-10-4 .6667 2.000 49 48.57
34 Union 94.23 .4875 26 15-14-6 .5143 1.059 41 88.99
35 Yale 94.09 .4872 22 16-14-4 .5294 1.125 43 83.63
36 Merrimack 88.74 .4750 44 12-18-4 .4118 .7000 26 126.8
37 Colgate 87.51 .4721 28T 18-18-6 .5000 1.000 42 87.51
38 Bemidji State 77.30 .4462 27 17-16-3 .5139 1.057 45 73.12
39 Lake Superior 77.22 .4460 49 10-20-7 .3649 .5745 23 134.4
40 Dartmouth 74.81 .4395 41 12-16-4 .4375 .7778 36 96.19
41 Ohio State 63.75 .4067 51 12-25-4 .3415 .5185 29 122.9
42 St. Lawrence 62.51 .4028 45 13-20-4 .4054 .6818 39 91.68
43 Alaska 60.84 .3973 53 9-21-5 .3286 .4894 28 124.3
44 Robert Morris 57.66 .3865 28T 15-15-4 .5000 1.000 48 57.66
45 Air Force 55.06 .3774 9 21-11-6 .6316 1.714 52 32.12
46 Rensselaer 48.29 .3518 50 11-23-4 .3421 .5200 38 92.87
47 RIT 44.92 .3380 14 19-12-6 .5946 1.467 53 30.63
48 Brown 33.57 .2849 57T 6-21-4 .2581 .3478 35 96.53
49 Army 31.97 .2764 16 19-14-4 .5676 1.313 59 24.36
50 Wayne State 30.58 .2689 54 11-25-2 .3158 .4615 46 66.26
51 Western Michigan 30.48 .2683 59 8-27-3 .2500 .3333 40 91.45
52 Mercyhurst 27.91 .2536 39 15-19-7 .4512 .8222 50 33.94
53 Sacred Heart 23.66 .2273 37 16-19-3 .4605 .8537 57 27.71
54 Alabama-Huntsville 21.65 .2140 57T 6-21-4 .2581 .3478 47 62.26
55 Canisius 19.85 .2013 47 11-20-6 .3784 .6087 51 32.61
56 Holy Cross 17.55 .1842 48 10-19-7 .3750 .6000 54 29.25
57 Connecticut 17.28 .1821 46 13-21-3 .3919 .6444 58 26.81
58 Bentley 14.57 .1602 52 9-21-6 .3333 .5000 55 29.15
59 American Int'l 11.78 .1356 56 8-23-5 .2917 .4118 56 28.62
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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