Wilson Computer Ratings team analysis
George Mason (21-5)


George Mason's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Virginia Tech      686.1 LOSS   62-73         17- 9 Division I
   Duquesne           620.8 LOSS   65-71         15-10 Division I
   George Washington  617.0 LOSS   53-72         15-11 Division I
   Rhode Island       606.3 LOSS   65-74         14-11 Division I
   Richmond           601.7 LOSS   70-82         14-12 Division I
>> George Mason       659.2 <<                   21- 5 Division I
   VA Commonwealth    679.8 WIN    86-80    ++   20- 6 Division I
   Davidson           629.1 WIN    60-52    +    15-10 Division I
   St. Joseph's (PA)  617.4 WIN    60-52    +    15-10 Division I
   Florida Atlantic   617.2 WIN    74-65    +    14-12 Division I
   George Washington  617.0 WIN    69-64    +    15-11 Division I
   St. Bonaventure    611.7 WIN    77-73    +    14-11 Division I
   Winthrop           609.2 WIN    96-90    +    19- 8 Division I
   Rhode Island       606.3 WIN    61-50    +    14-11 Division I
   Pennsylvania       595.4 WIN    83-79    +    13-10 Division I
   Ohio University    589.0 WIN    92-69    +    13-13 Division I
   Fordham            581.1 WIN    67-58    +    14-12 Division I
   James Madison      580.5 WIN    82-66    +    14-13 Division I
   Wofford            580.1 WIN    70-46    +    17-10 Division I
   Catawba            572.6 WIN    86-62    +    18- 7 Division II
   Cornell            570.5 WIN    99-81    +    12-11 Division I
   LaSalle            561.8 WIN    80-75          7-18 Division I
   Old Dominion       552.4 WIN    73-61          9-18 Division I
   Loyola (Chicago)   549.7 WIN    82-74          6-20 Division I
   Jacksonville FL    535.5 WIN    79-57    -    10-17 Division I
   Loyola (MD)        514.3 WIN    86-79    -    11-16 Division I
   New Hampshire      502.8 WIN    61-44    -     8-16 Division I

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