Wilson Computer Ratings team analysis
W. New Mexico (1-23)


W. New Mexico's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Texas Woman's U    646.4 LOSS   64-79         22- 1 Division II
   W. Texas A&M       620.8 LOSS   50-84         22- 3 Division II
   Texas-El Paso      588.0 LOSS   56-81         11-13 Division I
   New Mexico St.     571.0 LOSS   44-76          8-17 Division I
   UCCS               536.2 LOSS   52-87         15- 9 Division II
   Texas-Tyler        530.8 LOSS   44-83         16- 8 Division II
   E. New Mexico      529.3 LOSS   58-98         15-10 Division II
   St. Mary's, TX     524.5 LOSS   67-79         13-12 Division II
   TX-Permian Basin   511.8 LOSS   60-71         14-10 Division II
   Fort Lewis         509.0 LOSS   57-83         14-10 Division II
   Angelo St.         507.2 LOSS   47-79         13- 9 Division II
   Metropolitan St    500.5 LOSS   74-91         12-13 Division II
   CSU-Pueblo         488.5 LOSS   34-84         13-11 Division II
   Texas A&M Intl     486.1 LOSS   62-80         13-11 Division II
   N.Mex.Highlands    478.4 LOSS   40-106        10-15 Division II
   St. Edward's       476.9 LOSS   49-58         12-12 Division II
   Texas Dallas       457.4 LOSS   44-76         10-17 Division II
   Texas Dallas       457.4 LOSS   46-73         10-17 Division II
   Oklahoma Chr.      448.8 LOSS   65-75          9-15 Division II
   TX A&M-Kingsville  440.9 LOSS   54-64          6-18 Division II
   Cameron            401.4 LOSS   68-75          2-22 Division II
   Sul Ross St.       367.0 LOSS   60-69          3-18 Division II
>> W. New Mexico      357.1 <<                    1-23 Division II
   Sul Ross St.       367.0 WIN    49-45    ++    3-18 Division II

Games against teams within about 100 rating points are often the best indicators of a team's actual strength.

"Effect" ranges from "---", a game that caused a large decrease in the team rating, to "+++", a game that produced a large increase in rating.

Note that wins over very weak teams may actually hurt a team's rating (the opposite is true for losses to very good teams).

shopify analytics ecommerce