KRACH Ratings
KRACH is endorsed by College Hockey News as the best system to objectivly 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 | Miami | 1023.6 | .8671 | 5 | 8-1-3 | .7917 | 3.800 | 6 | 269.4 |
| 2 | Bemidji State | 755.9 | .8322 | 2 | 8-1-1 | .8500 | 5.667 | 27 | 133.4 |
| 3 | Michigan State | 685.8 | .8199 | 6 | 9-2-2 | .7692 | 3.333 | 16 | 205.7 |
| 4 | Colorado College | 641.7 | .8112 | 7T | 7-2-1 | .7500 | 3.000 | 14 | 213.9 |
| 5 | North Dakota | 603.2 | .8028 | 7T | 7-2-1 | .7500 | 3.000 | 19 | 201.1 |
| 6 | Quinnipiac | 549.6 | .7899 | 1 | 8-1-0 | .8889 | 8.000 | 39 | 68.7 |
| 7 | Massachusetts | 482.8 | .7711 | 3T | 8-2-0 | .8000 | 4.000 | 32 | 120.7 |
| 8 | Wisconsin | 415.0 | .7481 | 13T | 6-3-1 | .6500 | 1.857 | 9 | 223.4 |
| 9 | Mass.-Lowell | 366.1 | .7282 | 7T | 7-2-1 | .7500 | 3.000 | 30 | 122.0 |
| 10 | Denver | 341.5 | .7170 | 13T | 6-3-1 | .6500 | 1.857 | 22 | 183.9 |
| 11 | Alaska | 325.5 | .7091 | 7T | 7-2-1 | .7500 | 3.000 | 34 | 108.5 |
| 12 | St. Cloud State | 301.5 | .6963 | 26T | 4-4-2 | .5000 | 1.000 | 5 | 301.5 |
| 13 | Minnesota-Duluth | 298.5 | .6946 | 17 | 7-4-1 | .6250 | 1.667 | 23 | 179.1 |
| 14 | Minnesota | 296.6 | .6935 | 34 | 4-5-1 | .4500 | .818 | 1 | 362.5 |
| 15 | Boston College | 279.9 | .6837 | 23 | 4-3-1 | .5625 | 1.286 | 12 | 217.7 |
| 16 | Vermont | 268.9 | .6768 | 26T | 4-4-1 | .5000 | 1.000 | 7 | 268.9 |
| 17 | Providence | 265.9 | .6749 | 11T | 6-3-0 | .6667 | 2.000 | 28 | 133.0 |
| 18 | Northern Michigan | 226.1 | .6467 | 38T | 3-5-2 | .4000 | .667 | 2 | 339.2 |
| 19 | Nebraska-Omaha | 225.6 | .6463 | 13T | 5-2-3 | .6500 | 1.857 | 31 | 121.5 |
| 20 | Ferris State | 214.9 | .6377 | 11T | 7-3-2 | .6667 | 2.000 | 35 | 107.5 |
| 21 | Merrimack | 211.1 | .6345 | 18 | 6-4-0 | .6000 | 1.500 | 26 | 140.7 |
| 22 | Notre Dame | 209.3 | .6330 | 26T | 5-5-3 | .5000 | 1.000 | 15 | 209.3 |
| 23 | Ohio State | 186.7 | .6126 | 31T | 5-6-1 | .4583 | .846 | 11 | 220.6 |
| 24 | New Hampshire | 180.3 | .6064 | 42 | 3-6-2 | .3636 | .571 | 4 | 315.6 |
| 25 | Northeastern | 151.2 | .5746 | 35T | 4-5-0 | .4444 | .800 | 21 | 189.1 |
| 26 | Michigan Tech | 143.1 | .5646 | 47T | 3-7-0 | .3000 | .429 | 3 | 333.9 |
| 27 | Maine | 136.7 | .5564 | 38T | 4-6-0 | .4000 | .667 | 17 | 205.1 |
| 28 | Michigan | 135.7 | .5550 | 38T | 4-6-0 | .4000 | .667 | 18 | 203.6 |
| 29 | Western Michigan | 133.3 | .5518 | 24 | 5-4-1 | .5500 | 1.222 | 33 | 109.1 |
| 30 | Minnesota State | 128.5 | .5451 | 43T | 3-6-1 | .3500 | .538 | 8 | 238.6 |
| 31 | Boston University | 110.5 | .5178 | 45T | 3-6-0 | .3333 | .500 | 10 | 220.9 |
| 32 | Lake Superior | 106.8 | .5118 | 31T | 5-6-1 | .4583 | .846 | 29 | 126.3 |
| 33 | Union | 95.9 | .4925 | 19T | 5-3-3 | .5909 | 1.444 | 40 | 66.4 |
| 34 | Alaska-Anchorage | 95.2 | .4912 | 45T | 4-8-0 | .3333 | .500 | 20 | 190.3 |
| 35 | Robert Morris | 92.7 | .4865 | 43T | 3-6-1 | .3500 | .538 | 24 | 172.2 |
| 36 | Yale | 77.3 | .4546 | 26T | 2-2-2 | .5000 | 1.000 | 38 | 77.3 |
| 37 | Rensselaer | 71.4 | .4409 | 22 | 7-5-1 | .5769 | 1.364 | 42 | 52.4 |
| 38 | Alabama-Huntsville | 69.5 | .4363 | 47T | 3-7-0 | .3000 | .429 | 25 | 162.2 |
| 39 | St. Lawrence | 64.5 | .4234 | 19T | 6-4-1 | .5909 | 1.444 | 43 | 44.6 |
| 40 | Colgate | 59.7 | .4106 | 16 | 5-2-4 | .6364 | 1.750 | 45 | 34.1 |
| 41 | Cornell | 59.4 | .4095 | 3T | 4-1-0 | .8000 | 4.000 | 57 | 14.8 |
| 42 | Bowling Green | 37.9 | .3376 | 56 | 1-8-1 | .1500 | .176 | 13 | 214.6 |
| 43 | Air Force | 35.2 | .3265 | 26T | 5-5-2 | .5000 | 1.000 | 44 | 35.2 |
| 44 | Clarkson | 30.5 | .3054 | 51T | 3-8-0 | .2727 | .375 | 36 | 81.3 |
| 45 | Princeton | 23.6 | .2699 | 21 | 3-2-1 | .5833 | 1.400 | 55 | 16.9 |
| 46 | Sacred Heart | 22.2 | .2616 | 35T | 3-4-2 | .4444 | .800 | 46 | 27.7 |
| 47 | Canisius | 21.3 | .2563 | 31T | 5-6-1 | .4583 | .846 | 47 | 25.2 |
| 48 | Bentley | 18.5 | .2384 | 35T | 3-4-2 | .4444 | .800 | 50 | 23.1 |
| 49 | RIT | 18.4 | .2377 | 25 | 6-5-0 | .5455 | 1.200 | 56 | 15.3 |
| 50 | Niagara | 18.0 | .2349 | 55 | 1-8-2 | .1818 | .222 | 37 | 81.0 |
| 51 | Holy Cross | 16.2 | .2222 | 38T | 3-5-2 | .4000 | .667 | 49 | 24.3 |
| 52 | Harvard | 7.9 | .1472 | 47T | 1-3-1 | .3000 | .429 | 53 | 18.5 |
| 53 | Connecticut | 6.6 | .1316 | 53 | 2-7-1 | .2500 | .333 | 52 | 19.8 |
| 54 | Army | 6.3 | .1280 | 51T | 2-7-2 | .2727 | .375 | 54 | 16.9 |
| 55 | Mercyhurst | 5.8 | .1210 | 54 | 2-9-1 | .2083 | .263 | 51 | 22.0 |
| 56 | Brown | 5.5 | .1162 | 57 | 0-5-1 | .0833 | .091 | 41 | 60.0 |
| 57 | American Int'l | 5.0 | .1092 | 50 | 2-6-1 | .2778 | .385 | 58 | 12.9 |
| 58 | Dartmouth | 0.0 | .0000 | 58 | 0-5-0 | .0000 | .000 | 48 | 24.5 |
| 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
NCAA Tournament Info