Wilson Computer Ratings team analysis
Caltech (5-22)

Caltech's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   CSU-Fullerton      592.7 LOSS   82-136        18-16 Division I
   Redlands           526.4 LOSS   82-107        24- 6 Division III
   Redlands           526.4 LOSS   72-148        24- 6 Division III
   Claremont-Mudd     520.7 LOSS   68-102        23- 5 Division III
   Claremont-Mudd     520.7 LOSS   63-100        23- 5 Division III
   Amherst            496.9 LOSS   64-80         19- 8 Division III
   Chapman            491.5 LOSS   58-84         19- 9 Division III
   Chapman            491.5 LOSS   65-95         19- 9 Division III
   Occidental         484.6 LOSS   74-106        19- 9 Division III
   Occidental         484.6 LOSS   54-84         19- 9 Division III
   Occidental         484.6 LOSS   72-101        19- 9 Division III
   Cal Santa Cruz     477.2 LOSS   66-82         14-12 Division III
   Whittier           450.1 LOSS   81-88         15-12 Division III
   Whittier           450.1 LOSS   76-106        15-12 Division III
   Cal Lutheran       444.1 LOSS   82-89         13-13 Division III
   Cal Lutheran       444.1 LOSS   79-96         13-13 Division III
   Pomona-Pitzer      425.0 LOSS   53-82         10-15 Division III
   Pomona-Pitzer      425.0 LOSS   76-83         10-15 Division III
   La Sierra          420.7 LOSS   70-77          1- 5 (null)
   Whitman            380.8 LOSS   70-83         10-16 Division III
   Piedmont           367.8 LOSS   84-115        11-15 Division III
   LaVerne            364.6 LOSS   72-76          4-21 Division III
>> Caltech            350.1 <<                    5-22 Division III
   LaVerne            364.6 WIN    88-85    ++    4-21 Division III
   Oglethorpe         329.4 WIN    82-70    +     5-21 Division III
   Stanton            296.1 WIN    98-89    +     0- 8 (null)
   W. Coast Bapt.     277.2 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