Wilson Computer Ratings team analysis
Messiah (4-17)

Messiah's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Hood               530.7 LOSS   62-80         19- 2 Division III
   York (PA)          485.6 LOSS   62-94         16- 5 Division III
   York (PA)          485.6 LOSS   82-91         16- 5 Division III
   Elizabethtown      469.3 LOSS   72-88         15- 6 Division III
   Albright           438.3 LOSS   57-79         12- 9 Division III
   Albright           438.3 LOSS   68-83         12- 9 Division III
   Shenandoah         436.4 LOSS   61-74         11-11 Division III
   Salisbury          428.5 LOSS   68-90         10-11 Division III
   McDaniel           424.4 LOSS   67-70         13- 8 Division III
   Alvernia           424.3 LOSS   70-88         11- 9 Division III
   Dickinson          408.1 LOSS   76-94          6-16 Division III
   Eastern (VA)       405.5 LOSS   57-90          8-13 Division III
   Stevenson          393.1 LOSS   66-98         10-11 Division III
   Widener            373.1 LOSS   79-89          7-15 Division III
   Widener            373.1 LOSS   89-90          7-15 Division III
   Marywood           361.4 LOSS   85-93         11-11 Division III
   St. Josephs-Brkln  306.9 LOSS   94-103         7-15 Division III
>> Messiah            334.1 <<                    4-17 Division III
   Juniata            397.0 WIN    78-75    ++    8-13 Division III
   Wilson             351.2 WIN    94-89    ++    9-15 Division III
   Lebanon Val.       341.5 WIN    84-80    ++    6-15 Division III
   Gallaudet          258.0 WIN    85-71    +     2-18 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