Wilson Computer Ratings team analysis
Missouri S and T (9-13)

Missouri S and T's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Missouri STL       582.8 LOSS   55-67         20- 3 Division II
   Thomas More        568.9 LOSS   48-59         19- 5 Division II
   Maryville (MO)     555.5 LOSS   66-81         19- 6 Division II
   Emporia St.        521.6 LOSS   72-78         13-12 Division II
   Lewis              521.0 LOSS   67-74         15-10 Division II
   McKendree          500.6 LOSS   63-69         15- 8 Division II
   Truman State       499.4 LOSS   62-69         15-10 Division II
   Truman State       499.4 LOSS   58-66         15-10 Division II
   Quincy             491.4 LOSS   67-74         13-10 Division II
   Quincy             491.4 LOSS   56-61         13-10 Division II
   Upper Iowa         490.5 LOSS   56-61         13-12 Division II
   Upper Iowa         490.5 LOSS   73-77         13-12 Division II
   Ill.-Springfield   475.9 LOSS   45-66         11-13 Division II
>> Missouri S and T   448.9 <<                    9-13 Division II
   Ky. Wesleyan       536.6 WIN    81-71    ++   15- 9 Division II
   Drury              533.6 WIN    74-67    ++   18- 6 Division II
   Indianapolis       418.7 WIN    70-62    +     5-20 Division II
   Lincoln (MO)       414.6 WIN    55-48    +     4-21 Division II
   Cottey             352.4 WIN    83-35          0- 2 (null)
   Spalding           350.8 WIN    85-47         13-13 Division III
   William Jewell     310.8 WIN    67-47    -     0-23 Division II
   William Jewell     310.8 WIN    73-59    -     0-23 Division II
   Ecclesia           232.5 WIN    73-18    -     0- 5 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).

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