Wilson Computer Ratings team analysis
Caltech (3-19)

Caltech's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   CSU-Fullerton      592.1 LOSS   82-136        12-13 Division I
   Claremont-Mudd     543.3 LOSS   68-102        20- 2 Division III
   Claremont-Mudd     543.3 LOSS   63-100        20- 2 Division III
   Redlands           533.1 LOSS   82-107        18- 4 Division III
   Amherst            509.4 LOSS   64-80         17- 5 Division III
   Chapman            493.4 LOSS   58-84         15- 8 Division III
   Occidental         493.1 LOSS   74-106        16- 6 Division III
   Occidental         493.1 LOSS   54-84         16- 6 Division III
   Occidental         493.1 LOSS   72-101        16- 6 Division III
   Cal Santa Cruz     488.2 LOSS   66-82         13-10 Division III
   Whittier           460.1 LOSS   81-88         13-11 Division III
   Cal Lutheran       454.5 LOSS   82-89         11-11 Division III
   Cal Lutheran       454.5 LOSS   79-96         11-11 Division III
   Pomona-Pitzer      448.9 LOSS   53-82         10-12 Division III
   Pomona-Pitzer      448.9 LOSS   76-83         10-12 Division III
   La Sierra          417.7 LOSS   70-77          1- 5 (null)
   Whitman            393.6 LOSS   70-83          9-13 Division III
   Piedmont           372.0 LOSS   84-115        10-12 Division III
   LaVerne            370.4 LOSS   72-76          3-18 Division III
>> Caltech            338.5 <<                    3-19 Division III
   Oglethorpe         336.3 WIN    82-70    +     6-16 Division III
   W. Coast Bapt.     268.1 WIN    76-74    +     0- 9 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