Mar 11

2019 • 2018

Mar 11 • Mar 4 • Feb 28 • Feb 27 • Feb 24Feb 22 • Feb 21 • Feb 16Feb 14Feb 12Feb 10Feb 9Feb. 7Feb. 3Feb 1

Team = Team, Points = Points, Points (N) = Points Normalized (Normalized to 3 Games), and Games = Number of games the team has played.

TeamPoints (N)Games
1 Limestone1,3117
2 Indianapolis1,2735
3 Queens (N.C.)1,2206
4 Adelphi1,1983
5 Mercy1,1767
6 Pace1,1433
7 Belmont Abbey1,1207
8 Lindenwood1,1157
9 Le Moyne1,0575
10 Wingate1,0576
11 Colorado Mesa1,0544
12 Florida Tech1,0424
13 Mount Olive1,0407
14 Seton Hill1,0126
15 Rollins1,0045
16 Mercyhurst9774
17 Lynn9614
18 Catawba9445
19 Young Harris9227
20 Saint Leo9066
21 Embry-Riddle (FL)8978
22 Tampa8857
23 Georgian Court8777
24 Maryville (Mo.)8376
25 Bentley8281
26 North Greenville8258
27 Tusculum7926
28 Assumption7814
29 Roberts Wesleyan7695
30 Westminster (UT)7634
31 Palm Beach Atl.7428
32 Southern N.H.7284
33 NYIT7166
34 Wheeling Jesuit7107
35 Alderson-Broad.7006
36 Newberry6837
37 Merrimack6733
38 Coker6707
39 Chestnut Hill6655
40 LIU Post6554
41 Montevallo6478
42 Rockhurst6395
43 Molloy6314
44 Chowan6306
45 Franklin Pierce6222
46 Colo. St. Pueblo6213
47 St. Michael’s6122
48 Fla. Southern6105
49 Wilmington (Del.)6093
50 Ala.-Huntsville5945
51 Saint Rose5374
52 Mars Hill5266
53 St. Thomas Aq.4981
54 Lincoln Memorial4867
55 Dist. of Columbia4773
56 Dominican (N.Y.)4704
57 Post4695
58 Lees-McRae4596
59 Notre Dame de Namur4266
60 Barton4208
61 Emmanuel (Ga.)4005
62 Adams State3881
63 American Int’l3716
64 Davis & Elkins3704
65 Felician3604
66 Lake Erie3503
67 Lenoir-Rhyne3385
68 Saint Anselm3301
69 Shorter3156
70 Walsh3086

FanLax Rankings

In the simplest terms, with the FanLax (10% Ante) Ranking System, every team, based on their performance in the previous season, starts the new season with an allocated number of Points. (You can see these points by clicking “Starting Points” directly above the rankings.) And, throughout the season, when a team wins, they earn 10% of their opponent’s Points. When they lose, they lose 10% of their own Points. There’s also an adjustment of the earned Points based on the disparity between the teams that play each other but these are details. Bottomline, you want to beat teams with lots of Points and, though you don’t want to lose, if you do lose, you don’t want to lose to teams with few Points.

This is an explanation of how to read the Game Scores and FanLax Team Points.

Bottomline, Team A wants to beat teams with (a) a lot of Points and (b) more Points than Team A has.  Conversely, Team A doesn’t want to lose but if Team A does lose, Team A wants to lose to teams with more Points than Team A has.