Wilson Computer Ratings team analysis
Saginaw Val. St. (11-13)


Saginaw Val. St.'s opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Gannon             624.4 LOSS   67-95         22- 2 Division II
   Michigan Tech      597.8 LOSS   78-80         22- 4 Division II
   Michigan Tech      597.8 LOSS   52-62         22- 4 Division II
   N. Michigan        574.3 LOSS   77-86         21- 5 Division II
   N. Michigan        574.3 LOSS   61-83         21- 5 Division II
   Northwood (MI)     529.4 LOSS   80-82         15-11 Division II
   Lake Superior St   526.3 LOSS   65-71         13-11 Division II
   Lake Superior St   526.3 LOSS   81-90         13-11 Division II
   Davenport (MI)     524.8 LOSS   70-76         13-11 Division II
   Purdue Northwest   524.0 LOSS   63-71         11-12 Division II
   Wis.-Parkside      502.3 LOSS   81-87         11-13 Division II
   Ferris St.         498.3 LOSS   76-85         10-13 Division II
   Ferris St.         498.3 LOSS   69-75         10-13 Division II
>> Saginaw Val. St.   508.4 <<                   11-13 Division II
   Grand Valley St.   590.8 WIN    81-80    ++   21- 4 Division II
   Ashland            561.8 WIN    80-71    ++   18- 7 Division II
   Wayne State (MI)   523.6 WIN    65-62    ++   11-11 Division II
   Wis.-Parkside      502.3 WIN    85-77    +    11-13 Division II
   Hillsdale          492.2 WIN    79-77    +     9-15 Division II
   Roosevelt          461.5 WIN    93-68    +     5-19 Division II
   Roosevelt          461.5 WIN    91-80    +     5-19 Division II
   Lewis              429.3 WIN    72-60    +     4-20 Division II
   Alma               366.5 WIN    87-55    -     4-20 Division III
   Kuyper             198.9 WIN   104-51    --    0- 8 (null)

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