Wilson Computer Ratings team analysis
Case Reserve (9-13)


Case Reserve's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   New York Univ.     612.6 LOSS   64-93         22- 0 Division III
   New York Univ.     612.6 LOSS   65-73         22- 0 Division III
   Denison            602.7 LOSS   61-74         22- 1 Division III
   Baldwin-Wallace    561.0 LOSS   52-76         21- 2 Division III
   Chicago            553.9 LOSS   44-52         16- 5 Division III
   Chicago            553.9 LOSS   77-84         16- 5 Division III
   Washington StL     547.1 LOSS   52-66         17- 5 Division III
   Washington StL     547.1 LOSS   76-81         17- 5 Division III
   Emory              511.3 LOSS   46-90         13- 8 Division III
   Capital            487.7 LOSS   54-59         15- 8 Division III
   Brandeis           473.4 LOSS   69-77         13- 9 Division III
   Marietta           467.7 LOSS   66-67         12-12 Division III
   Rochester (NY)     463.0 LOSS   70-75         10-12 Division III
>> Case Reserve       470.7 <<                    9-13 Division III
   Carnegie-Mellon    522.2 WIN    63-48    ++   14- 8 Division III
   Claremont-Mudd     474.4 WIN    58-51    ++   17- 7 Division III
   Brandeis           473.4 WIN    72-69    ++   13- 9 Division III
   Bethany,W.Va.      439.8 WIN    53-47    +    15- 8 Division III
   Oberlin            424.7 WIN    68-55    +     7-16 Division III
   Adrian             407.7 WIN    65-58    +     8-17 Division III
   Rose-Hulman        392.4 WIN    81-33    +     8-16 Division III
   Geneva             358.0 WIN    75-65    -     8-16 Division III
   Thiel              295.8 WIN    91-50    -     6-18 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