IRC National Rankings: 11/16/08

Monday, November 17, 2008

New Rankings Posted

Trying to keep with posting on Monday, the new rankings are released. The rankings reflect all the score that are currently being reported from this weeks games. There are games missing from the SCHL, MCRHL, & SECRHL. Once the scores from those games are reported, the rankings will be changed to reflect that.

Please refrain from making attacks on teams/negative comments about teams in the comment section. The comments are for posting on the rankings only.

Any questions or comments please feel free to email me at indrankcom@gmail.com

******UPDATE 11/21/2008******
The rankings for this week are final.

Division I Rankings - 11/17/08

#1 – Lindenwood University - 2155.41
#2 - University of Missouri-St. Louis - 1995.53
#3 - University of California, Irvine - 1933.18
#4 - Michigan State University - 1920.52
#5 – University of Louisiana at Lafayette - 1872.30
#6 - University at Buffalo - 1851.58
#7 - Rutgers University - 1811.45
#8 - University of Central Florida - 1799.24
#9 - University of Rhode Island - 1786.34
#10 - University of Florida - 1753.23
#11 - University of Michigan - 1751.44
#12 - University of Nevada, Las Vegas - 1745.31
#13 - Eastern Michigan University - 1708.49
#14 - The Ohio State University - 1697.94
#15 - Towson University - 1688.50
#16 - Colorado State University - 1674.04
#17 - University of North Texas - 1665.22
#18 - University of California, Santa Barbara - 1642.82
#19 - Long Beach State - 1637.93
#20 - University of Missouri - 1632.67

Division II Rankings - 11/17/08

#1 – Neumann College - 2042.92
#2 - West Chester University - 1966.87
#3 - University of California, San Diego - 1882.27
#4 - Cal Poly Pomona - 1738.74
#5 - Truman State University - 1725.79
#6 - Missouri State University - 1711.62
#7 - Rowan University - 1698.79
#8 - Elon University - 1697.52
#9 - Grand Valley State - 1660.03
#10 - Shippensburg University - 1632.28
#11 - Florida Atlantic University - 1628.48
#12 - Southern Illinois University, Edwardsville - 1612.89
#13 - University of Tampa - 1587.20
#14 - University of Texas, Dallas - 1573.37
#15 - University of Northern Colorado - 1571.45
#16 - Central Michigan University - 1569.70
#17 - Drexel University - 1568.34
#18 - SUNY Albany - 1568.01
#19 - Millersville University - 1549.38
#20 - Kennesaw State University - 1548.64
#21 - University of Colorado - 1542.49
#22 - Florida State University - 1541.34
#23 - Western Carolina University - 1534.65
#24 - St. Louis University - 1525.55
#25 - Slippery Rock University - 1521.70

Junior College Rankings - 11/17/08

#1 – St. Charles Community College - 1629.16
#2 – Saddleback College - 1618.06
#3 - Suffolk County Community College - 1599.60
#4 - Valencia Community College - 1539.78
#5 – Front Range County Community College - 1507.31

B Division Rankings - 11/17/08

#1 - Colorado State University - 1034.77
#2 - Lindenwood University Gold - 1009.40
#3 - University at Buffalo - 997.78
#4 - Suffolk County CC Gold - 973.19
#5 - University of Missouri-St. Louis - 972.54
#6 - West Chester University - 959.16
#7 - Michigan State University - 955.30
#8 - Drexel University - 940.74
#9 - University of Central Florida - 931.01
#10 - UC Santa Barbara Gold - 917.29
#11 - UC Santa Barbara Blue - 902.13
#12 - Grand Valley State - 893.12
#13 - Lindenwood University Black - 891.57
#14 - Penn State University - 864.30
#15 - University of Michigan - 840.35
#16 - Temple University - 824.52
#17 - Towson University - 815.51
#18 - University of Florida - 810.82
#19 - SUNY Stony Brook - 810.68
#20 - Saddleback College - 802.87

The Rankings Explained

Since the conclusion of the season both founders set out to find the best solution to answer the age old question, “Who’s #1?” After much search, the answer was to use a mathematical formula to calculate the answer. Removing the human element from the voting would likely result in less biased rankings towards individual teams and regions.

The solution would be found in the ELO chess rating system. They system was created to rank chess players by another means that wins, losses and draws. The system uses a mathematical formula to reward each person for impressive feats and punish them for lesser impressive feats. Because chess and inline hockey are two different animals, the general equation had to be changed to allow for more hockeys related factors into the equation.

Using the FIFA Women’s World Rankings as a guideline (Elo Based), we managed to change the rankings to suit the nature of our sport. The rankings include the importance of the game, the outcome of the game, the expected result of the game, and the goal differential of the game when calculating a result. To better explain the way the rankings work I give you the following examples (all team start with a ranking of 1500):

Lindenwood University (1500) vs. UMSL (1500): If Lindenwood won the regular season game 4-3; they would be awarded 15 points for the victory and UMSL would be docked 15 points. However, if the game was won 12-2, Lindenwood would earn 39.38 points for the victory and UMSL would be docked 39.38 points. Additionally, the importance of the game could change, using the national title game as the example, with both teams having equal ratings Lindenwood would be awarded 52.5 points for a 6-3 win.

However, as you could assume, two teams having the same rating would be rare. Each teams point total carries over from one week to the next and from one season to the next. The following is a example of two teams with different point values and the different results it can produce.

Lindenwood University (1746.38) vs. Illinois State (1360.88): There are a few things that you can determine because of the vast difference in each teams rating (385.5). The first is that Lindenwood is expected to win the game. The second is that Illinois State winning the game would be a much bigger accomplishment that Lindenwood winning the game. The maximum points Lindenwood can earn from this game is 7.72, which would mean they won by at least 10 goals. However, on the flip side, if Illinois State was to win the game by at least 10 goals they could earn as many as 71.03 points. This is based on the projection that Lindenwood would win the match-up 90% of the time.

As the two examples show, there are a bunch of positives when using this system. For starters, once a team has achieved a high rating, it becomes difficult for them to increase it without playing a higher level of competition. This rewards regions that have more competitive teams. It also rewards teams who travel out of the region and win games against other higher rated teams. For example, last season, Towson and Army both played James Madison who would have had a higher rating that both visiting teams. In the games, Army and Towson both won handily and would have increased their ratings while negatively hurting James Madison. But, the hidden bonus is they now can bring those rating points back into their region. Those points then become spread out over the entire region as the season progresses and teams win and lose.

For the ratings system to work, each game has to have a certain amount of value attached to it. In the system we will be using five different levels to rate the importance of any give game. The first level is the lowest level of importance; it contains all pre-season exhibition games. The second level includes all regular-season regional games, as well as cross-divisional exhibition games. Level three includes all cross-regional games and invitational based tournaments, like WinterFest. The fourth level includes all regional playoff games and the fifth and final level includes all national playoff games.