Wilson Computer Ratings team analysis
Cal Santa Cruz (11-13)

Cal Santa Cruz's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Menlo              500.0 LOSS   80-87         10-13 Division II
   Christphr Newport  495.2 LOSS   54-64         19- 5 Division III
   Cal Poly-SLO       494.0 LOSS   27-87          3-22 Division I
   Cal Lutheran       484.7 LOSS   42-61         19- 6 Division III
   Puget Sound        481.1 LOSS   46-60         19- 5 Division III
   Claremont-Mudd     474.4 LOSS   49-60         17- 7 Division III
   Redlands           468.6 LOSS   43-62         17- 5 Division III
   Chapman            449.5 LOSS   69-74         14-11 Division III
   Babson             439.3 LOSS   70-72         16- 7 Division III
   MIT                417.6 LOSS   49-53         13-10 Division III
   Whittier           414.1 LOSS   50-51         11-12 Division III
   Willamette         408.4 LOSS   61-72          9-16 Division III
   CSU Maritime       408.1 LOSS   62-84          1- 3 (null)
>> Cal Santa Cruz     407.3 <<                   11-13 Division III
   UC Merced          462.3 WIN    79-72    ++    7-19 Division II
   Willamette         408.4 WIN    72-45    ++    9-16 Division III
   CSU Maritime       408.1 WIN    92-59    ++    1- 3 (null)
   Wilmington (OH)    381.4 WIN    65-47    +     6-17 Division III
   Whitworth          376.6 WIN    67-62    +     5-19 Division III
   Mass.-Dartmouth    366.3 WIN    64-42    +     9-14 Division III
   LaVerne            358.1 WIN    77-61    +     6-18 Division III
   Simpson (CA)       324.9 WIN    78-39    +     0- 6 NAIA/NCCAA/USCAA
   Caltech            314.3 WIN    67-57          2-18 Division III
   Pac. Lutheran      314.1 WIN    68-60          2-21 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