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KRACH: Division III Men

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RankTeamRatingRRWPWin % RkW-L-TWin %Win RatioSOS RkSOS
1St. Norbert6120..9579128-3-10.89068.1433751.5
2Wisconsin-Stevens Point2665..9148722-6-20.76673.2861811.0
3St. Thomas2524..9112421-5-20.78573.6674688.2
4Adrian2330..9057322-3-40.82764.80012485.4
5Wisconsin-Eau Claire1775..88531119-8-10.69642.2942773.8
6Gustavus Adolphus1205..851112t16-7-40.66672.0007602.7
7Wisconsin-River Falls954.6.827623t15-9-30.61111.5716607.5
8St. Scholastica869.5.81752116-9-40.62071.6369531.3
9St. John's782.3.80572216-10-00.61541.60011488.9
10St. Olaf601.5.774432t12-11-40.51851.0778558.5
11Augsburg549.5.76302713-9-30.58001.38116397.9
12Lake Forest524.1.75693015-12-10.55361.24013422.7
13Concordia (Minn.)499.8.75072912-9-50.55771.26117396.4
14Trinity421.5.7277221-4-00.84005.2504480.28
15Geneseo389.2.7166822-7-00.75863.14325123.8
16Marian377.5.71233512-13-20.48150.92915406.5
17Wisconsin-Superior375.6.71154511-15-30.43100.75810495.8
18Babson361.6.7061518-5-10.77083.36432107.5
19Plattsburgh359.6.7053619-5-20.76923.33331107.9
20Norwich335.2.69521018-6-20.73082.71426123.5
21Oswego332.4.6939922-7-20.74192.87528115.6
22St. Mary's294.5.676046t10-14-10.42000.72414406.7
23Wisconsin-Stout274.6.6654608-18-00.30770.4445617.8
24Concordia (Wis.)258.0.655942t10-13-40.44440.80021322.5
25Amherst207.4.621617t15-8-30.63461.73727119.4
26Williams181.3.599917t15-8-30.63461.73733104.4
27Utica170.2.589612t16-7-40.66672.0003985.12
28Bowdoin162.9.58241617-9-20.64291.8003790.51
29Massachusetts-Boston152.0.57081513-6-30.65911.9334778.60
30Elmira144.3.562123t16-10-10.61111.5713591.80
31Lawrence136.3.5527646-19-20.25930.35018389.5
32Hobart129.8.54432614-9-40.59261.4553889.21
33Milwaukee School of Engineering119.0.5297627-19-10.27780.38522309.4
34New England College117.2.52722512-8-10.59521.4714579.72
35Middlebury106.2.51033610-11-30.47920.92029115.4
36Manhattanville80.80.463332t13-12-20.51851.0775175.03
37Colby78.71.45883411-11-30.50001.0004678.71
38Castleton69.69.4379419-11-30.45650.8404182.97
39Wesleyan69.13.43654010-12-20.45830.8464381.70
40Bethel67.89.4334703-20-20.16000.19019356.4
41Buffalo State67.73.43303810-12-50.46300.8624878.57
42Neumann62.11.4182449-12-50.44230.7934978.31
43Connecticut College55.49.3989499-14-20.40000.6674083.23
44Skidmore53.29.3921487-11-40.40910.6925076.98
45Nichols53.17.391712t15-7-20.66672.0006126.58
46Nazareth51.84.3874587-16-20.32000.47130110.1
47Southern Maine51.24.3854575-12-40.33330.50034102.5
48Brockport50.67.383546t9-13-30.42000.7245269.97
49Northland47.65.3732704-21-00.16000.19024250.1
50Finlandia45.02.3637723-20-10.14580.17123263.7
51Salem State43.57.35832016-9-20.62961.7006225.63
52Johnson and Wales42.19.35301914-8-10.63041.7066524.73
53Hamline39.36.3415732-22-10.10000.11120354.3
54Fredonia37.68.3344546-13-60.36000.5625366.98
55University of New England36.92.3311596-14-10.30950.4484282.35
56Hamilton35.88.3264615-15-30.28260.3943691.07
57Plymouth State31.61.30622813-10-20.56001.2736424.84
58Potsdam26.64.2797567-14-20.34780.5335649.95
59Cortland24.29.2657635-16-30.27080.3715465.40
60Wentworth24.03.26413911-13-10.46000.8525928.21
61Curry21.34.246742t11-14-20.44440.8006026.67
62Salve Regina20.78.2429529-14-00.39130.6435832.32
63Westfield State20.48.24093112-10-10.54351.1907317.20
64Framingham State17.99.2228379-10-30.47730.9137019.71
65Western NE University14.75.1966538-13-10.38640.6306723.43
66Tufts14.34.1930694-18-10.19570.2435558.96
67Fitchburg State13.58.1862509-14-10.39580.6556920.73
68Morrisville13.06.1814674-17-20.21740.2785747.03
69Suffolk12.77.1786557-13-10.35710.5566822.98
70Worcester State11.52.1665509-14-10.39580.6557217.59
71Massachusetts-Dartmouth8.355.132065t5-17-20.25000.3336325.06
72Canton8.211.130365t3-11-20.25000.3336624.63
73Becker4.912.0861683-16-30.20450.2577119.10

Key

  • RRWP: Round Robin Winning Percentage. What your 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
  • **Win Ratio is infinite

Basic Explanation

KRACH — or “Ken’s Ratings for American College Hockey” — is the implementation for college hockey of a sophisticated mathematical model known as the Bradley-Terry rating system, first applied to college hockey by a statistician named Ken Butler.

This method is based on a statistical technique called logistic regression, in essence meaning that teams’ ratings are determined directly from their won-loss records against one another. A key feature of KRACH is that strength of schedule is calculated directly from the ratings themselves, meaning that KRACH, unlike many ratings (including RPI) cannot easily be distorted by teams with strong records against weak opposition.

The ratings are on an odds scale, so if Team A’s KRACH rating is three times as large as Team B’s, Team A would be expected to amass a winning percentage of .750 and Team B a winning percentage of .250 if it played each other enough times. The correct ratings are defined such that the "expected" winning percentage for a team in the games it’s already played is equal to its "actual" winning percentage.

An alternative definition of a team’s KRACH rating is as the product of its Winning Ratio (winning percentage divided by one minus winning percentage) with the weighted average of its opponents’ KRACH ratings. (The definition of the weighting factor makes this equivalent to the first definition of the KRACH ratings.) In addition to KRACH and RRWP, the table above lists each team’s Winning Percentage, Winning Ratio and Strength of Schedule (the aforementioned weighted average of their opponents’ KRACH ratings).

KRACH is provided for entertainment purposes only and is not used in any official way, nor is it endorsed by USCHO.com.