Wilson Computer Ratings team analysis
Wis.-Whitewater (15-6)


Wis.-Whitewater's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   St. Thomas (TX)    566.6 LOSS   73-81         19- 2 Division III
   Wis.-Stevens Pt.   534.1 LOSS   71-79         17- 4 Division III
   Wis.-LaCrosse      525.2 LOSS   65-68         16- 5 Division III
   Wis.-Platteville   523.0 LOSS   60-70         14- 7 Division III
   Wis.-Oshkosh       515.1 LOSS   78-90         15- 6 Division III
   Coe                474.0 LOSS   73-86         15- 9 Division III
>> Wis.-Whitewater    517.9 <<                   15- 6 Division III
   Wis.-LaCrosse      525.2 WIN    63-60    ++   16- 5 Division III
   Wis.-Oshkosh       515.1 WIN   101-91    +    15- 6 Division III
   Elmhurst           511.2 WIN    88-72    +    14- 7 Division III
   Aurora             487.4 WIN    82-73    +    18- 3 Division III
   Hope (MI)          486.5 WIN    95-92    +    14- 7 Division III
   Wis.-Eau Claire    483.5 WIN    83-76    +    14- 7 Division III
   Carroll (WI)       469.1 WIN    64-60    +    10-11 Division III
   Simpson (IA)       428.0 WIN   100-78    +     7-13 Division III
   Wis.-Stout         426.5 WIN    72-54          8-14 Division III
   Wis.-Stout         426.5 WIN    78-77          8-14 Division III
   Lawrence           419.4 WIN    88-58         11-11 Division III
   Wis.-Riv. Falls    416.4 WIN    67-59          7-15 Division III
   Alma               376.2 WIN    90-61    -     4-18 Division III
   Ripon              375.1 WIN    76-58    -     4-19 Division III
   Eureka             325.5 WIN   116-73    -     5-19 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