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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 State2169.2.92085t9-3-0.75003.0002723.1
2Nebraska-Omaha1564.8.89635t7-2-1.75003.0003521.6
3Minnesota-Duluth1363.7.8845199-5-0.64291.8001757.6
4Michigan Tech1114.2.8656110-2-0.83335.0009222.8
5Minnesota860.9.8386157-3-0.70002.3335368.9
6Bowling Green824.4.83375t10-3-1.75003.0008274.8
7Miami741.0.82131310-4-0.71432.5006296.4
8Harvard429.2.749136-1-2.77783.50025122.6
9North Dakota393.2.73629t9-3-1.73082.71420144.9
10Denver386.8.7338128-3-0.72732.66719145.1
11Boston University363.6.724448-2-1.77273.40029106.9
12Quinnipiac312.5.7007148-3-1.70832.42924128.7
13Mass.-Lowell296.6.69239t8-2-3.73082.71427109.3
14Yale250.7.6646204-2-2.62501.66717150.4
15Vermont244.6.66059t9-3-1.73082.7143390.1
16St. Cloud State238.4.6562345-6-1.4583.8467281.8
17St. Lawrence211.0.6352218-5-1.60711.54522136.5
18Providence203.1.628624t6-5-1.54171.18214171.8
19Colgate198.6.6247169-4-1.67862.1113194.1
20Penn State172.3.5995177-3-2.66672.0003686.1
21Bemidji State160.1.586452t3-9-0.2500.3334480.4
22Merrimack150.5.5752188-4-1.65381.8893779.7
23Clarkson150.5.575227t5-5-4.50001.00016150.5
24Cornell149.5.5740363-4-1.4375.77811192.3
25Notre Dame149.5.573927t6-6-2.50001.00018149.5
26Boston College141.2.5636227-5-0.58331.40030100.9
27Ohio State120.3.5342434-7-1.3750.60010200.5
28Rensselaer114.8.5255306-7-1.4643.86723132.4
29Connecticut111.8.520640t3-6-4.3846.62512178.8
30Ferris State106.3.5113267-6-0.53851.1673291.1
31Union103.8.506924t6-5-1.54171.1823587.8
32Dartmouth101.0.5018392-3-1.4167.71421141.4
33Michigan93.1.4867355-6-0.4545.83326111.7
34Northern Michigan87.7.47585t7-2-1.75003.0005729.2
35Robert Morris74.8.446328-1-3.79173.8005819.7
36Western Michigan73.4.4428463-8-1.2917.41213178.2
37Alaska-Fairbanks69.7.433527t6-6-0.50001.0004169.7
38Mercyhurst68.7.4307235-4-2.54551.2004557.2
39Bentley50.1.3740385-7-1.4231.7334368.4
40Michigan State42.1.3436444-7-0.3636.5713873.6
41Alaska-Anchorage37.6.3246375-7-2.4286.7505050.1
42Princeton36.0.3171571-6-1.1875.23115155.9
43Sacred Heart35.9.316831t5-6-2.4615.8575141.9
44New Hampshire34.5.3104454-8-0.3333.5004269.1
45Holy Cross33.8.307031t4-5-4.4615.8575239.5
46Air Force33.3.304740t4-7-2.3846.6254753.4
47RIT31.9.297340t4-7-2.3846.6254951.0
48Canisius30.3.289531t4-5-4.4615.8575435.4
49Northeastern28.3.2787562-9-1.2083.26328107.7
50Maine25.8.2645513-9-1.2692.3684070.1
51Alabama-Huntsville25.2.260447t3-9-2.2857.4004462.9
52Colorado College20.8.232749t3-8-0.2727.3754655.5
53Massachusetts19.9.226249t3-8-0.2727.3754853.0
54Lake Superior19.2.2213553-11-0.2143.2733970.3
55Brown15.0.1891581-6-0.1429.1673489.9
56Army13.9.179847t3-9-2.2857.4005634.7
57Niagara12.8.170652t3-9-0.2500.3335338.5
58American Int'l11.8.160752t2-8-2.2500.3335535.3
59Wisconsin0.0.0000590-8-0.0000.000590.0
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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