Wilson Computer Ratings team analysis
Alaska (0-22)


Alaska's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   CO Mesa            631.0 LOSS   53-102        26- 1 Division II
   Cent. Washington   625.1 LOSS   49-69         22- 3 Division II
   Cent. Washington   625.1 LOSS   40-92         22- 3 Division II
   W. Washington      598.3 LOSS   47-72         20- 6 Division II
   W. Washington      598.3 LOSS   28-60         20- 6 Division II
   NW Nazarene        576.6 LOSS   43-84         16- 7 Division II
   NW Nazarene        576.6 LOSS   45-84         16- 7 Division II
   Azusa Pacific      573.2 LOSS   50-82         17- 7 Division II
   St. Martin's       562.1 LOSS   37-74         16- 9 Division II
   St. Cloud St.      553.7 LOSS   53-101        13-12 Division II
   MSU-Moorhead       541.3 LOSS   63-112        12-12 Division II
   Alaska Anchorage   534.1 LOSS   41-76         14-12 Division II
   Alaska Anchorage   534.1 LOSS   69-79         14-12 Division II
   MonSt-Billings     532.0 LOSS   45-86         14-13 Division II
   W. Oregon          514.4 LOSS   24-82         11-12 Division II
   Biola              513.7 LOSS   49-75         12-11 Division II
   Simon Fraser       509.5 LOSS   46-109         9-17 Division II
   Simon Fraser       509.5 LOSS   54-92          9-17 Division II
   Seattle Pacific    488.3 LOSS   56-69          7-18 Division II
   Master's College   480.4 LOSS   72-104         2- 1 (null)
   Hawaii Hilo        466.3 LOSS   76-98          6-19 Division II
   Westminster (UT)   461.1 LOSS   74-99          8-17 Division II
>> Alaska             390.1 <<                    0-22 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