Wilson Computer Ratings team analysis
Shenandoah (11-11)


Shenandoah's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Randolph-Macon     556.2 LOSS   42-84         19- 2 Division III
   Radford            549.3 LOSS   44-87         13-13 Division I
   Hood               530.7 LOSS   75-101        19- 2 Division III
   Roanoke            510.8 LOSS   34-77         16- 5 Division III
   Virginia Wesleyan  500.0 LOSS   55-90         15- 7 Division III
   Washington & Lee   499.0 LOSS   69-73         16- 6 Division III
   Hampden-Sydney     484.4 LOSS   64-73         13- 8 Division III
   Averett College    470.7 LOSS   59-74         14- 9 Division III
   Elizabethtown      469.3 LOSS   65-68         15- 6 Division III
   Lynchburg          454.6 LOSS   65-78         12-10 Division III
   Bridgewater,Va.    384.9 LOSS   49-54          7-14 Division III
>> Shenandoah         436.4 <<                   11-11 Division III
   Guilford           466.0 WIN   104-97    ++   11-10 Division III
   Lancaster Bible    436.5 WIN    80-74    ++   17- 7 Division III
   Southern Virginia  430.3 WIN    80-70    +    12-10 Division III
   Mary Baldwin       389.5 WIN    67-58    +     9-13 Division III
   Bridgewater,Va.    384.9 WIN    69-60    +     7-14 Division III
   E Mennonite        384.5 WIN    65-61    +     6-15 Division III
   St. Mary's, MD     353.3 WIN    74-65    +     9-14 Division III
   Wilson             351.2 WIN    70-61    +     9-15 Division III
   Randolph           338.8 WIN    87-68          4-18 Division III
   Messiah            334.1 WIN    74-61          4-17 Division III
   PSU-Schuykill      288.6 WIN    87-64    -     1- 6 NAIA/NCCAA/USCAA

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