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2014-2015 KRACH Ratings

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
1North Dakota606.0.83081t24-6-3.77273.4008178.2
2Minnesota State523.4.81061t24-6-3.77273.40010153.9
3Minnesota-Duluth395.8.76791819-12-3.60291.5191260.7
4Michigan Tech392.0.7664324-8-2.73532.77813141.1
5Nebraska-Omaha346.8.745916t17-10-5.60941.5603222.3
6Miami339.6.7424920-11-1.64061.7835190.5
7Denver332.3.73861319-11-2.62501.6674199.4
8Boston University312.4.7278521-7-5.71212.47417126.3
9Boston College236.1.676111t20-11-3.63241.72015137.3
10Providence228.9.6701821-11-2.64711.83319124.9
11St. Cloud State227.7.66913515-16-1.4844.9392242.4
12Quinnipiac227.2.6687621-9-4.67652.09137108.6
13Minnesota216.7.659516t18-11-3.60941.56014138.9
14Bowling Green214.6.657611t19-10-5.63241.72020124.8
15Mass.-Lowell201.3.644914t18-10-6.61761.61521124.6
16Yale198.1.6417717-7-5.67242.0534696.5
17Michigan193.8.63731019-11-0.63331.72732112.2
18Vermont180.0.62251918-12-4.58821.42918126.0
19Bemidji State175.8.617729t15-14-5.51471.0619165.7
20Colgate169.9.610714t19-11-4.61761.61540105.1
21Northeastern169.2.609927t16-14-4.52941.12511150.4
22Harvard157.6.59532315-11-3.56901.32026119.4
23Dartmouth151.7.58752015-10-4.58621.41738107.1
24Alaska-Fairbanks149.7.584624t17-13-2.56251.28628116.4
25Western Michigan148.2.58264012-15-5.4531.8297178.9
26St. Lawrence141.4.572921t18-13-3.57351.34539105.2
27New Hampshire117.3.533737t15-17-2.4706.88916132.0
28Penn State113.6.526824t16-12-4.56251.2864888.3
29Cornell113.0.52583611-12-6.4828.93325121.1
30Notre Dame110.0.52003415-16-5.4861.94629116.3
31Northern Michigan109.8.519731t14-14-6.50001.00036109.8
32Michigan State105.0.510331t14-14-2.50001.00041105.0
33Union98.0.495831t16-16-2.50001.0004598.0
34Merrimack97.9.495537t14-16-4.4706.88935110.1
35Ferris State88.1.47334214-19-2.4286.75027117.4
36Ohio State82.6.46004511-17-2.4000.66723123.9
37Robert Morris78.1.4483422-7-5.72062.5795430.3
38Maine75.4.44094413-20-3.4028.67433111.8
39Connecticut74.7.438946t10-17-7.3971.65931113.4
40Clarkson62.5.402746t11-18-5.3971.6594794.9
41Massachusetts61.2.39834810-21-2.3333.50024122.4
42Rensselaer53.5.37165010-23-3.3194.46930113.9
43Colorado College52.9.3693556-23-2.2258.2926181.2
44Alaska-Anchorage50.2.359251t8-20-4.3125.45534110.4
45Brown47.8.3497498-18-3.3276.4874498.1
46Lake Superior44.7.3371548-24-2.2647.36022124.1
47Alabama-Huntsville43.7.3328538-22-4.2941.41742104.9
48Canisius38.5.309321t16-11-7.57351.3455828.6
49Wisconsin36.4.2994584-22-4.2000.25012145.5
50Bentley35.8.29672616-13-5.54411.1945530.0
51Mercyhurst35.1.293227t16-14-4.52941.1255231.2
52RIT34.5.289929t15-14-5.51471.0615032.5
53Holy Cross24.6.23413913-16-5.4559.8385729.3
54Princeton24.3.2321594-21-3.1964.2444399.2
55Air Force23.4.22684114-19-4.4324.7625330.7
56Sacred Heart22.9.22354311-17-6.4118.7004932.7
57Army11.9.138951t8-20-4.3125.4555926.3
58American Int'l8.4.1046564-23-7.2206.2835629.8
59Niagara8.3.1029575-25-4.2059.2595131.9
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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