Wilson Computer Ratings team analysis
Wilmington (OH) (9-12)


Wilmington (OH)'s opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Mount Union        547.9 LOSS   77-84         20- 2 Division III
   Otterbein          531.3 LOSS   74-84         18- 3 Division III
   Ohio Northern      497.7 LOSS   70-78         14- 7 Division III
   Calvin             490.8 LOSS   78-87         16- 6 Division III
   Wittenberg         489.7 LOSS   65-82         15- 6 Division III
   Muskingum          478.8 LOSS   90-113        13- 8 Division III
   Heidelberg         463.1 LOSS   82-87         11-10 Division III
   Heidelberg         463.1 LOSS   90-92         11-10 Division III
   Anderson (IN)      452.4 LOSS   75-77         13- 9 Division III
   Mount St. Joseph   450.3 LOSS   77-79         13- 9 Division III
   Oberlin            428.0 LOSS   75-83         10-11 Division III
   Baldwin-Wallace    427.5 LOSS   63-75          7-15 Division III
>> Wilmington (OH)    430.8 <<                    9-12 Division III
   Ohio Northern      497.7 WIN    88-78    ++   14- 7 Division III
   Marietta           455.7 WIN    85-77    ++    9-13 Division III
   Marietta           455.7 WIN    85-82    ++    9-13 Division III
   Capital            426.9 WIN    94-89    +     8-15 Division III
   Capital            426.9 WIN   101-93    +     8-15 Division III
   Bethany (WV)       393.3 WIN   109-101   +     9-14 Division III
   Adrian             362.0 WIN    97-75    +     4-18 Division III
   Earlham            334.6 WIN    94-80          2-22 Division III
   Mt. Aloysius       289.4 WIN   108-67    -     3-18 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