Wilson Computer Ratings team analysis
Post (10-13)


Post's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Felician College   554.8 LOSS   68-75         20- 3 Division II
   Felician College   554.8 LOSS   64-85         20- 3 Division II
   St. Anselm         545.6 LOSS   70-85         20- 6 Division II
   Bentley            534.1 LOSS   69-80         17- 7 Division II
   Assumption         513.3 LOSS   74-91         14-10 Division II
   Goldey-Beacom      505.6 LOSS   73-83         16- 7 Division II
   Staten Island      502.5 LOSS   88-95         17- 8 Division II
   St Thomas Aquinas  496.6 LOSS   72-89         14-12 Division II
   Southern NewHamp   488.6 LOSS   67-77         11-13 Division II
   Jefferson          480.2 LOSS   74-87          9- 9 Division II
   Holy Family        465.0 LOSS   55-65         13-12 Division II
   Chestnut Hill      446.2 LOSS   66-70          8-15 Division II
   Franklin Pierce    443.6 LOSS   66-76          6-20 Division II
>> Post               472.0 <<                   10-13 Division II
   Caldwell           483.0 WIN    74-72    ++   12-13 Division II
   Dominican College  478.7 WIN    81-72    ++    9-13 Division II
   S. Connecticut     474.7 WIN    83-76    ++   10-13 Division II
   Holy Family        465.0 WIN    71-57    +    13-12 Division II
   Bridgeport         458.2 WIN    75-68    +     9-12 Division II
   Bridgeport         458.2 WIN    75-74    +     9-12 Division II
   Wilmington (DE)    456.9 WIN    80-71    +     9-16 Division II
   Wilmington (DE)    456.9 WIN   103-76    +     9-16 Division II
   Georgian Court     447.9 WIN   104-72    +     7-17 Division II
   Chestnut Hill      446.2 WIN    72-68    +     8-15 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