Wilson Computer Ratings team analysis
Merchant Marine (7-15)


Merchant Marine's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Sacred Heart       531.6 LOSS   46-103        10-16 Division I
   Farmingdale        476.7 LOSS   41-56         18- 4 Division III
   Drew               472.1 LOSS   71-85         16- 5 Division III
   Yeshiva            461.3 LOSS   72-110        13- 8 Division III
   Hobart             407.4 LOSS   54-91         11-10 Division III
   Coast Guard        396.9 LOSS   57-66          7-14 Division III
   Sarah Lawr.        380.7 LOSS   53-75         13- 9 Division III
   SUNY Maritime      349.1 LOSS   66-69         11-12 Division III
   Manhattanville     345.8 LOSS   51-61         10-11 Division III
   St. Joseph's (LI)  335.1 LOSS   55-81         10-12 Division III
   St. Joseph's (LI)  335.1 LOSS   76-77         10-12 Division III
   SUNY-Purchase      334.7 LOSS   67-74          9-13 Division III
   Brooklyn           316.9 LOSS   58-64          9-12 Division III
   Rosemont           281.5 LOSS   62-66          3-17 Division III
   Bard               259.0 LOSS   63-75          1-20 Division III
>> Merchant Marine    295.9 <<                    7-15 Division III
   Pratt              348.1 WIN    71-66    ++   11-10 Division III
   SUNY Westbury      318.5 WIN    76-64    ++    7-15 Division III
   St. Josephs-Brkln  306.9 WIN    65-61    ++    7-15 Division III
   Hunter             254.1 WIN    57-52    +     5-17 Division III
   Fredonia           252.6 WIN    77-63    +     2-18 Division III
   Mt. St. Mary NY    247.4 WIN    65-48    +     2-20 Division III
   Mt. St. Vincent    230.9 WIN    79-72    +     2-19 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