2017‑18 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   Schedule Strength
Rating RRWP Rk W-L-T Pct Ratio Rk SOS
1St. Cloud State1147.1.891929-2-0.81824.5003254.9
2Cornell715.9.842118-1-0.88898.0003889.5
3Denver707.2.840687-3-2.66672.0001353.6
4Clarkson631.9.82673t10-3-1.75003.0007210.6
5Western Michigan542.0.806398-4-1.65381.8892286.9
6Minnesota State481.0.789559-4-0.69232.2505213.8
7Minnesota441.5.77686t9-4-1.67862.1118209.1
8Notre Dame359.9.74493t10-3-1.75003.00023120.0
9North Dakota349.2.74006t8-3-3.67862.11110165.4
10Michigan State324.9.728020t7-5-0.58331.4004232.1
11Bowling Green289.8.708423t6-4-3.57691.3646212.5
12Boston College244.5.6780148-5-1.60711.54513158.2
13Wisconsin237.3.6725158-5-2.60001.50014158.2
14Michigan196.2.636620t6-4-2.58331.40015140.2
15Northern Michigan191.8.632220t7-5-0.58331.40016137.0
16Providence173.4.612411t7-4-1.62501.66728104.0
17New Hampshire172.0.610916t6-4-1.59091.44425119.1
18Minnesota-Duluth172.0.610829t6-6-2.50001.0009172.0
19Northeastern157.6.593511t7-4-1.62501.6673594.6
20Ohio State150.2.583711t6-3-3.62501.6673790.1
21Bemidji State148.4.5814265-4-2.54551.20021123.7
22Mass.-Lowell146.1.5781258-6-0.57141.33327109.5
23Colorado College134.5.561329t7-7-0.50001.00017134.5
24Nebraska-Omaha130.1.5545394-5-1.4500.81812159.0
25Colgate118.9.5359107-3-4.64291.8004866.1
26Boston University115.4.5298366-7-1.4643.86718133.2
27Michigan Tech106.7.5134355-6-4.4667.87522121.9
28Ferris State104.9.5100445-8-1.3929.64711162.1
29Penn State102.7.505629t7-7-0.50001.00029102.7
30Miami100.9.5019375-6-1.4583.84624119.3
31Quinnipiac96.0.491529t5-5-1.50001.0003496.0
32Union94.3.487727t7-6-0.53851.1674280.8
33RIT82.3.459516t6-4-1.59091.4445257.0
34Niagara79.9.453316t6-4-1.59091.4445355.3
35Alaska73.0.434647t4-8-2.3571.55620131.4
36Air Force67.1.417229t6-6-2.50001.0004767.1
37Maine65.3.4116434-6-0.4000.6673397.9
38Canisius64.2.408116t6-4-1.59091.4445844.4
39Army63.4.405827t6-5-2.53851.1675454.4
40Lake Superior62.4.4024503-8-3.3214.47419131.7
41Massachusetts61.4.3990385-6-0.4545.8334473.6
42Holy Cross61.3.398923t5-3-5.57691.3645745.0
43Princeton60.0.3946413-4-1.4375.7784377.2
44Mercyhurst59.5.392929t4-4-2.50001.0005059.5
45Alabama-Huntsville51.5.363845t4-7-1.3750.6003985.8
46Robert Morris47.9.3498425-7-1.4231.7334965.3
47Merrimack46.3.343052t2-7-3.2917.41226112.4
48Rensselaer42.0.324752t2-7-3.2917.41230102.1
49Vermont36.7.2995563-9-1.2692.3683299.6
50Brown35.1.2915404-5-0.4444.8005943.9
51Harvard33.8.2845552-5-0.2857.4004084.5
52Connecticut33.3.2818514-10-2.3125.4554573.2
53Alaska-Anchorage31.0.269457t1-7-4.2500.3333693.0
54Sacred Heart29.4.260552t3-8-1.2917.4124671.5
55Dartmouth29.1.2585492-4-0.3333.5005158.2
56Arizona State27.0.245857t2-8-2.2500.3334180.9
57Yale26.1.240645t3-5-0.3750.6006043.5
58American Int'l25.1.234047t4-8-2.3571.5565645.1
59Bentley15.1.1615591-7-3.2273.2945551.4
60St. Lawrence12.2.1360601-12-1.1071.12031101.8
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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