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2013-2014 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
1	North Dakota	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
2	Niagara	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
3	Northeastern	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
4	Northern Michigan	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
5	Ohio State	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
6	Notre Dame	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
7	New Hampshire	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
8	Nebraska-Omaha	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
9	Michigan Tech	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
10	Michigan State	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
11	Minnesota	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
12	Minnesota State	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
13	Minnesota-Duluth	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
14	Penn State	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
15	Princeton	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
16	Union	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
17	St. Lawrence	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
18	Vermont	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
19	Western Michigan	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
20	Yale	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
21	Wisconsin	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
22	St. Cloud State	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
23	Sacred Heart	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
24	Quinnipiac	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
25	Providence	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
26	Rensselaer	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
27	RIT	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
28	Robert Morris	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
29	Michigan	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
30	Miami	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
31	Boston University	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
32	Boston College	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
33	Bowling Green	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
34	Brown	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
35	Clarkson	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
36	Canisius	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
37	Bentley	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
38	Bemidji State	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
39	Alaska-Fairbanks	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
40	Alabama-Huntsville	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
41	Alaska-Anchorage	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
42	American Int'l	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
43	Army	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
44	Colgate	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
45	Colorado College	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
46	Maine	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
47	Lake Superior	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
48	Mass.-Lowell	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
49	Massachusetts	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
50	Merrimack	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
51	Mercyhurst	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
52	Holy Cross	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
53	Harvard	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
54	Cornell	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
55	Connecticut	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
56	Dartmouth	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
57	Denver	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
58	Ferris State	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0
59	Air Force	0.0	.0000	1t	0-0-0	.0000	.000	1t	0.0

RRWP	Round Robin Winning Percentage. A team's theoretical winning percentage would be if you played every other team, one time each.
Ratio	The Ratio of wins to losses (as opposed to Win %, which is wins divided by games).
SOS	Strength 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