Betting Systems - Bad Teams Part II

The second part of this article will deal with situations in which it would be most profitable to bet against bad teams. Sometimes a team is so bad that not even a shaded line will help them cover a spread. Such situations occur most readily in the college sports, most notable in college basketball. Whereas the professional sports have parity, college sports have great disparity. A team can be favored as much as 49 points in a basketball game and still cover! Such bad teams do not cover because they are as such: bad.

A bad team is defined as a team who looses more games than it has won, and is generally a team that has bad team chemistry. They are the ones that have the fewest attendees in their home games; they are those teams that are not on Sportscenter; they are those that sports channels such as ESPN do not cover readily, etc. A team is considered ‘bad’ in sports betting terms if they do not cover readily. Such teams share similar characteristics, such as having a bad defense, having an inept offense, having a bad coach, etc. These teams often have low budgets and cannot therefore afford glitzy superstars on their rosters. In college, such teams usually come from smaller schools. Schools who do not heavily fund their sports departments often also have ‘bad’ teams.

Be wary of backing teams who are ‘bad’. Although oddsmakers often shade their lines, such teams are often a true gamble when one bets on them. Another mantra in sports betting is to not bet on teams who you think will not win a game. In other words, do not bet on an underdog just because the points look attractive. Often times, such teams get smoked right out of the stadium and do not even have a chance to cover a big spread. College basketball is a strange sport, in that, disparity is quite great. Big favorites usually cover, even if a majority of the public is on their side.
In closing, do not bet on bad teams. Such teams are fundamentally flawed and should not be bet on simply because they are receiving points.