Wilson Computer Ratings team analysis
Russell Sage (21-5)

Russell Sage's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Trinity Coll (CT)  568.4 LOSS   46-105        29- 3 Division III
   SUNY-Geneseo       398.8 LOSS   84-87         16-11 Division III
   St. John Fisher    374.5 LOSS   72-77         13-15 Division III
   Keuka              368.5 LOSS  100-105        15-14 Division III
   Keuka              368.5 LOSS   80-93         15-14 Division III
>> Russell Sage       415.3 <<                   21- 5 Division III
   Nazareth           417.2 WIN    85-78    ++   18- 8 Division III
   Brockport St.      405.6 WIN    81-76    +    16-12 Division III
   Polytechnic        402.0 WIN    85-77    +    18- 8 Division III
   Utica              398.0 WIN    91-89    +    17- 9 Division III
   St. John Fisher    374.5 WIN    85-70    +    13-15 Division III
   VT Castleton       351.4 WIN    75-64    +     6-19 Division III
   Elms               339.2 WIN    84-72    +    10-17 Division III
   Manhattanville     339.1 WIN    89-68    +    13-14 Division III
   Hartwick           329.1 WIN   103-96    +    10-15 Division III
   Hartwick           329.1 WIN    89-71    +    10-15 Division III
   Elmira             328.1 WIN    95-79    +     8-18 Division III
   Elmira             328.1 WIN    80-77    +     8-18 Division III
   Albany Pharmacy    315.3 WIN    84-67          0- 1 (null)
   Houghton           310.5 WIN    97-59          6-20 Division III
   Houghton           310.5 WIN    92-90          6-20 Division III
   SUNY-Cobleskill    310.0 WIN    85-56         12-15 Division III
   John Jay           299.9 WIN    93-87    -    10-18 Division III
   Alfred U           292.3 WIN    83-64    -     4-21 Division III
   Alfred U           292.3 WIN    95-80    -     4-21 Division III
   SUNY Delhi         289.8 WIN    94-69    -     8-18 Division III
   Mt. St. Mary NY    236.3 WIN    85-74    -     2-24 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