2016-17 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-Duluth882.1.8706210-2-2.78573.6671240.6
2Penn State750.4.8525112-1-1.89298.3333590.0
3Denver621.6.829349-2-3.75003.0004207.2
4Mass.-Lowell425.4.7754128-4-2.64291.8002236.3
5Vermont419.6.773289-3-2.71432.5008167.9
6Western Michigan411.4.770210t7-3-2.66672.0005205.7
7Boston College329.6.7339512-4-1.73532.77824118.6
8Quinnipiac302.1.718810t9-4-2.66672.00010151.1
9Ohio State290.4.711838-1-4.76923.3333987.1
10Notre Dame280.9.705922t7-5-2.57141.3333210.7
11Harvard279.6.705166-2-1.72222.60029107.5
12Boston University268.5.697713t7-4-1.62501.6679161.1
13St. Lawrence239.6.676713t8-4-4.62501.66713143.7
14North Dakota225.0.6648257-5-3.56671.3087172.1
15Nebraska-Omaha195.6.637822t7-5-2.57141.33311146.7
16Minnesota194.5.636618t6-4-2.58331.40015138.9
17Clarkson189.7.6317178-5-3.59381.46219129.8
18Wisconsin161.1.599018t7-5-0.58331.40025115.1
19Bemidji State157.4.5943711-4-1.71882.5565461.6
20Air Force146.3.579322t7-5-2.57141.33327109.7
21Minnesota State139.1.5689168-5-1.60711.5453690.0
22Cornell138.9.5685155-3-1.61111.5713788.4
23Union135.4.563498-3-2.69232.2505560.2
24St. Cloud State134.9.562527t6-6-0.50001.00016134.9
25Dartmouth130.6.555827t3-3-2.50001.00018130.6
26Robert Morris127.9.551618t6-4-2.58331.4003491.4
27Northeastern126.5.5492365-6-4.4667.87512144.5
28Michigan126.3.548827t6-6-1.50001.00020126.3
29Miami108.4.516945t3-6-4.3846.6256173.5
30Providence99.6.499227t5-5-2.50001.0003199.6
31Merrimack95.8.491027t6-6-3.50001.0003295.8
32Michigan Tech95.4.490118t9-6-3.58331.4005168.1
33Maine94.1.487239t5-7-3.4333.76521123.0
34Army87.3.4715266-5-1.54171.1824373.8
35Connecticut83.5.462139t4-6-5.4333.76528109.2
36Bowling Green74.1.437427t7-7-2.50001.0004274.1
37Michigan State73.1.4346434-6-1.4091.69230105.6
38New Hampshire71.8.430827t6-6-2.50001.0004571.8
39Yale70.1.4259383-4-2.4444.8003887.6
40Lake Superior63.4.405427t7-7-0.50001.0005363.4
41RIT60.7.3966376-7-1.4643.8674770.1
42Massachusetts59.8.393649t3-7-2.3333.50023119.7
43Sacred Heart51.5.363841t5-7-2.4286.7504968.7
44Canisius51.3.3631445-8-2.4000.6674077.0
45Princeton50.6.3602532-6-1.2778.38517131.5
46Holy Cross48.8.353127t5-5-2.50001.0005848.8
47Colorado College47.6.348554t3-9-0.2500.33314142.9
48Colgate46.6.344249t3-8-4.3333.5003393.2
49Ferris State42.1.3250485-9-1.3667.5794472.7
50Bentley40.9.3197473-6-3.3750.6005068.2
51Northern Michigan37.2.302054t3-11-2.2500.33326111.5
52Alaska33.0.2807514-9-1.3214.4744869.6
53American Int'l32.5.278041t3-5-6.4286.7506043.3
54Arizona State30.1.2649583-12-0.2000.25022120.4
55Mercyhurst29.5.261545t5-8-0.3846.6255947.2
56Alabama-Huntsville23.5.2247524-10-2.3125.4555751.6
57Niagara19.7.198354t2-9-3.2500.3335659.0
58Rensselaer18.5.1900573-12-1.2188.2805266.2
59Alaska-Anchorage12.6.1416591-11-2.1429.1674175.7
60Brown8.8.1048601-8-0.1111.1254670.3
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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