Wilson Computer Ratings team analysis
Wis.-Riv. Falls (7-15)

Wis.-Riv. Falls's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Wis.-Stevens Pt.   534.1 LOSS   64-86         17- 4 Division III
   Wis.-LaCrosse      525.2 LOSS   72-84         16- 5 Division III
   Wis.-LaCrosse      525.2 LOSS   75-80         16- 5 Division III
   Wis.-Whitewater    517.9 LOSS   59-67         15- 6 Division III
   Wis.-Oshkosh       515.1 LOSS   86-104        15- 6 Division III
   Wis.-Oshkosh       515.1 LOSS   53-62         15- 6 Division III
   Wis.-Eau Claire    483.5 LOSS   67-85         14- 7 Division III
   Dakota St.         476.8 LOSS   43-55          1- 3 (null)
   Cncrdia-Mhd        468.5 LOSS   64-78         16- 6 Division III
   Central (Iowa)     457.7 LOSS   66-68         11-10 Division III
   Hamline            440.3 LOSS   56-67         12- 9 Division III
   Wis.-Stout         426.5 LOSS   61-81          8-14 Division III
   Carleton           421.5 LOSS   76-81         12-10 Division III
   Bethany Lutheran   397.5 LOSS   80-82         11-10 Division III
   Macalester         383.5 LOSS   81-88          7-15 Division III
>> Wis.-Riv. Falls    416.4 <<                    7-15 Division III
   Wis.-Platteville   523.0 WIN    68-50    +++  14- 7 Division III
   Wis.-Eau Claire    483.5 WIN    69-47    ++   14- 7 Division III
   St. Olaf           462.4 WIN    86-80    ++   15- 7 Division III
   Grove City         375.9 WIN    55-49    +     8-13 Division III
   N. Central MN      367.0 WIN    87-78    +     7-16 Division III
   SUNY Maritime      349.1 WIN    75-62    +    11-12 Division III
   Wis.-Superior      346.5 WIN    63-58    +     6-16 Division III
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