Wilson Computer Ratings team analysis
Post (9-12)


Post's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   S. Connecticut     538.2 LOSS   55-86         18- 5 Division II
   Holy Family        533.2 LOSS   28-87         20- 3 Division II
   Holy Family        533.2 LOSS   52-85         20- 3 Division II
   Felician College   502.9 LOSS   72-79         19- 6 Division II
   Felician College   502.9 LOSS   56-65         19- 6 Division II
   Southern NewHamp   490.1 LOSS   55-68         12-10 Division II
   St. Anselm         489.7 LOSS   46-78         12-10 Division II
   Jefferson          477.4 LOSS   45-62          9- 5 Division II
   Chestnut Hill      456.1 LOSS   57-78         12-12 Division II
   Georgian Court     431.4 LOSS   60-69          7-16 Division II
   Bridgeport         416.3 LOSS   42-65          8-11 Division II
   Goldey-Beacom      376.3 LOSS   48-65          5-17 Division II
>> Post               439.3 <<                    9-12 Division II
   American Intl.     505.0 WIN    81-79    ++   15- 8 Division II
   Caldwell           491.1 WIN    55-42    ++   19- 5 Division II
   Chestnut Hill      456.1 WIN    67-56    ++   12-12 Division II
   Staten Island      420.7 WIN    54-33    +     8-17 Division II
   Bridgeport         416.3 WIN    60-44    +     8-11 Division II
   Queens (NY)        409.8 WIN    60-41    +     7-17 Division II
   Dominican College  403.0 WIN    62-47    +     5-18 Division II
   Wilmington (DE)    299.2 WIN    86-48    -     1-23 Division II
   Wilmington (DE)    299.2 WIN    81-53    -     1-23 Division II

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