When it comes to betting whether it’s NBA, NFL or MLB betting, the output is always as good as the input. What exactly does this mean? What we mean by ‘output always good as the input’ is the fact that for a punter to reap rewards during a betting session, it’s imperative that s/he knows fully well the intricacies of the match s/he wants to bet on. Essentially, what this means is that to increase one’s probability of becoming a successful punter, one needs to know things such as team stats including head to head stats, previous scores, previous and current rankings, game logs, betting trends, weather patterns among other things. Without much background knowledge about the history of competing teams, betting becomes more like a game of chance – something which may spell doom for any aspiring punter.
Whilst it’s imperative that all punters acquire critical sport and team knowledge before engaging in sports betting, some however may just not have the time to spend in researching team stats and the like. Some however, may have the time but because of things such as human bias, they may fail to objectively assess team stats. All this leading punters to start placing bets from an uninformed position hence increasing the risk of losing their bets. To counter this, software developers came up with the concept of computer picks.
Computer picks relate to aggregated team as well as player stats that are generated by computers. Computers unlike humans do not have any bias when it comes to assessing team and player stats hence the stats that they generate and compile tend to be more objective and conclusive. Computer picks, in essence, can therefore be seen as near-objective stats generated by computers with the sole aim of helping punters to place bets from a more informed position. If a computer pick tips the Tampa Bay Buccaneers to defeat the Green Bay, then it’s highly likely that the result will be in favour of Tampa Bay Buccaneers at the end of the game as the computer would have considered everything when coming up with aggregated stats.
Computer picks work basing upon the right mix of data and math. Punters generally don’t need to know much when it comes to how the computer aggregates stats – what they do need to know is how to read the computer pick results table. The computer pick results table is of critical significance as it showcases the probability of a team winning based upon results from a previous set of matches (normally from the last 100 recorded games). The computer pick results table also does highlight the money the punter stands to win (approximately) from backing the team tipped as favourite by the computer. Below, we share with all punters an example of a computer pick results table as well as brief explanation of how it is interpreted.
|LAST 100||TO WIN||ATS||TOTAL 0/U|
|$ Units (Opening)||-$1318||-$1085||-$422|
|$ Units (Closing)||-$1462||-$717||-$1100|
|Record (Opening)||59 – 41||45 – 52 – 3||49 – 49 – 2|
|Record (Closing)||59 – 41||48 – 51 – 1||44 – 51 – 5|
Typical Markets Predicted in Computer Picks
As punters can probably deduce from the computer picks results table above, there are two markets that are predicted in computer picks. These are the straight up/moneyline and handicap/spread markets. These markets are available for punters looking to place bets on different types of sports including the NBA, NFL and MLB. Essentially, what this in turn means is that the computer picks can also be used by punters looking to engage in NFL, NBA as well as MLB sports betting. The moneyline market simply entails picking the team that’s going to win the match as two teams go head to head. The handicap market entails picking the team that going to win/lose a match by a certain predetermined margin.