Wilson Computer Ratings team analysis
Chicago (16-5)


Chicago's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Wis.-Oshkosh       613.8 LOSS   58-60         21- 2 Division III
   New York Univ.     612.6 LOSS   55-67         22- 0 Division III
   Carroll (WI)       556.4 LOSS   52-73         20- 4 Division III
   Washington StL     547.1 LOSS   39-68         17- 5 Division III
   Emory              511.3 LOSS   52-61         13- 8 Division III
>> Chicago            553.9 <<                   16- 5 Division III
   Illinois Weslyn    546.9 WIN    73-54    +    18- 5 Division III
   Carnegie-Mellon    522.2 WIN    61-58    +    14- 8 Division III
   Carnegie-Mellon    522.2 WIN    57-51    +    14- 8 Division III
   Emory              511.3 WIN    54-42    +    13- 8 Division III
   Calvin             496.7 WIN    73-65    +    14-10 Division III
   Albion             485.3 WIN    79-57    +    17- 6 Division III
   Brandeis           473.4 WIN    57-36    +    13- 9 Division III
   Case Reserve       470.7 WIN    52-44    +     9-13 Division III
   Case Reserve       470.7 WIN    84-77    +     9-13 Division III
   Rochester (NY)     463.0 WIN    60-53         10-12 Division III
   Rochester (NY)     463.0 WIN    61-54         10-12 Division III
   St. Norbert        461.3 WIN    54-49         14- 7 Division III
   Tufts              453.3 WIN    66-57         13-11 Division III
   Wheaton (IL)       439.3 WIN    65-47    -    10-13 Division III
   Rose-Hulman        392.4 WIN    85-54    -     8-16 Division III
   Marian (WI)        292.0 WIN    84-29    --    3-20 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