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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
1Minnesota State1890.7.910011t8-3-0.72732.6671709.0
2Michigan Tech1689.7.9014110-1-0.90911.00015169.0
3Nebraska-Omaha1542.3.89403t6-1-1.81254.3335355.9
4Minnesota-Duluth1256.7.875918t8-4-0.66672.0002628.4
5Minnesota847.7.8356147-3-0.70002.3334363.3
6Bowling Green786.4.82709t9-3-1.73082.7147289.7
7Miami767.2.8242159-4-0.69232.2506341.0
8North Dakota541.5.78045t8-2-1.77273.40016159.3
9Boston University432.4.749027-1-1.83335.0003586.5
10Denver355.8.719918t6-3-0.66672.00014177.9
11Mass.-Lowell304.4.69547t8-2-2.75003.00030101.5
12Harvard255.9.66707t5-1-2.75003.0003685.3
13Penn State251.2.663911t7-2-2.72732.6673394.2
14Quinnipiac244.7.659616t7-3-1.68182.14324114.2
15St. Lawrence233.2.6514208-4-1.65381.88922123.4
16Colgate229.7.64899t9-3-1.73082.7143884.6
17Bemidji State225.2.645551t3-8-0.2727.3753600.5
18Merrimack223.2.6440138-3-1.70832.4293491.9
19Vermont221.2.642516t7-3-1.68182.14328103.2
20Providence216.8.639031t4-5-1.4500.8188265.0
21St. Cloud State214.8.637531t4-5-1.4500.8189262.6
22Yale166.8.5930213-2-2.57141.33321125.1
23Notre Dame137.7.558525t6-6-1.50001.00019137.7
24Boston College130.1.5482236-5-0.54551.20027108.4
25Clarkson129.6.5475284-5-4.4615.85717151.2
26Connecticut127.8.545034t3-5-4.4167.71413178.9
27Cornell124.0.5394452-4-1.3571.55610223.2
28Northern Michigan121.7.53593t6-1-1.81254.3335628.1
29Ohio State120.7.5345424-7-1.3750.60011201.1
30Alaska-Fairbanks115.5.526425t5-5-0.50001.00023115.5
31Ferris State101.9.503425t6-6-0.50001.00029101.9
32Rensselaer99.4.4988335-7-1.4231.73320135.5
33Mercyhurst91.3.4832225-4-1.55001.2224174.7
34Union91.1.4829246-5-1.54171.1823977.1
35Western Michigan85.1.4704483-7-1.3182.46712182.3
36Dartmouth77.4.453234t2-3-1.4167.71426108.4
37Michigan64.7.420740t4-6-0.4000.6673197.1
38Robert Morris64.5.42015t7-1-3.77273.4005819.0
39Bentley63.6.417629t5-6-1.4583.8464075.2
40Michigan State41.5.343243t4-7-0.3636.5714272.7
41Princeton40.8.3403541-5-1.2143.27318149.8
42RIT34.6.313134t4-6-2.4167.7144848.5
43New Hampshire34.6.313040t4-6-0.4000.6674751.9
44Air Force32.2.301543t3-6-2.3636.5714656.4
45Colorado College32.2.3012532-7-0.2222.28625112.6
46Sacred Heart31.7.298634t4-6-2.4167.7144944.3
47Alabama-Huntsville29.4.2872493-8-2.3077.4444466.2
48Canisius28.9.284129t4-5-3.4583.8465434.1
49Alaska-Anchorage28.8.283934t4-6-2.4167.7145140.4
50Holy Cross28.3.281134t3-5-4.4167.7145239.6
51Maine25.7.2663503-8-1.2917.4124562.4
52Massachusetts19.2.224746t3-6-0.3333.5005338.4
53Brown16.9.207956t1-5-0.1667.2003784.6
54Army16.5.204446t3-7-2.3333.5005532.9
55Northeastern15.0.1924581-9-1.1364.1583294.9
56Lake Superior13.4.179356t2-10-0.1667.2004367.2
57American Int'l10.4.150551t2-7-2.2727.3755727.6
58Niagara9.0.1365552-9-0.1818.2225040.5
59Wisconsin0.0.0000590-6-0.0000.000590.0
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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