Wilson Computer Ratings team analysis
Caltech (3-19)

Caltech's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Cal Lutheran       480.6 LOSS   40-76         22- 7 Division III
   Cal Lutheran       480.6 LOSS   51-64         22- 7 Division III
   Claremont-Mudd     475.9 LOSS   49-81         20- 8 Division III
   Redlands           458.8 LOSS   50-105        19- 7 Division III
   Redlands           458.8 LOSS   50-89         19- 7 Division III
   Texas Lutheran     456.9 LOSS   37-68         19- 8 Division III
   Chapman            441.9 LOSS   58-85         16-12 Division III
   Chapman            441.9 LOSS   49-64         16-12 Division III
   Pomona-Pitzer      441.2 LOSS   65-78         16-11 Division III
   Pomona-Pitzer      441.2 LOSS   41-63         16-11 Division III
   MIT                414.6 LOSS   50-64         14-12 Division III
   Whittier           406.0 LOSS   57-70         11-13 Division III
   Whittier           406.0 LOSS   51-64         11-13 Division III
   Occidental         405.4 LOSS   59-77         12-15 Division III
   Occidental         405.4 LOSS   44-69         12-15 Division III
   Cal Santa Cruz     397.1 LOSS   57-67         12-13 Division III
   Life               382.0 LOSS   58-78          2- 5 NAIA/NCCAA/USCAA
   LaVerne            345.2 LOSS   61-67          6-20 Division III
>> Caltech            320.6 <<                    3-19 Division III
   LaVerne            345.2 WIN    47-41    ++    6-20 Division III
   Illinois Tech      258.0 WIN    53-31    +     3-21 Division III
   Stanton            240.1 WIN    75-30    +     0- 3 NAIA/NCCAA/USCAA
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