Wilson Computer Ratings team analysis
Walsh OH (20-3)

Walsh OH's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Lake Erie          562.9 LOSS   89-97         17- 7 Division II
   Ohio Dominican     538.5 LOSS   64-83         16- 8 Division II
   Northwood (MI)     529.4 LOSS   75-80         15-11 Division II
>> Walsh OH           584.6 <<                   20- 3 Division II
   Lake Erie          562.9 WIN    93-88    +    17- 7 Division II
   Findlay            543.1 WIN   103-98    +    15-10 Division II
   Ky. Wesleyan       538.5 WIN   102-66    +    15-10 Division II
   Ky. Wesleyan       538.5 WIN    95-83    +    15-10 Division II
   Northwood (MI)     529.4 WIN    74-65    +    15-11 Division II
   Malone             521.4 WIN    68-44    +    14-10 Division II
   Cedarville         501.4 WIN    72-56    +    11-13 Division II
   Thomas More        500.5 WIN    80-76    +    11-13 Division II
   Thomas More        500.5 WIN    69-59    +    11-13 Division II
   Hillsdale          492.2 WIN    76-64          9-15 Division II
   Hillsdale          492.2 WIN    71-51          9-15 Division II
   Carnegie-Mellon    475.1 WIN    98-72         10-12 Division III
   Tiffin             465.1 WIN    82-70    -     6-17 Division II
   Tiffin             465.1 WIN    76-58    -     6-17 Division II
   Kent-Tuscar.       426.1 WIN   122-73    -     0- 3 (null)
   W. Va. Weslyn      417.0 WIN   100-59    -     2-22 Division II
   PR-Rio Piedras     373.0 WIN   109-74    -     0- 5 Division II
   American (P.R.)    372.8 WIN    77-75    -     0- 9 Division II
   BryantStrattonO    372.1 WIN   114-77    -     1- 6 (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