[h=1]Best NCAA tournament contrarian system bets[/h]David SolarESPN Staff Writer
ESPN INSIDER
Betting against the public is one of the most basic and popular methods used at Sports Insights. We've gone to tremendous lengths to prove that this system produces a positive return on investment, and each season we update our betting percentage data to find the optimal betting percentage threshold for that contrarian strategy.
There are two types of bettors: sharps and squares. Imagine the sports betting marketplace as a seesaw. If too many square bettors load up on one side (typically caused by an overreaction to recent results), oddsmakers need to even the weight by adjusting the line and encouraging action on their opponent. These shaded lines create additional value for contrarian bettors that are willing to take the unpopular side and go against the grain.<offer style="box-sizing: border-box;"></offer>
A direct correlation exists between the number of bets placed and the value derived from betting against the public, but the sample size is limited during the regular season. Unfortunately, this makes many of our basic betting against the public strategies ineffective -- if two mid-majors square off, oddsmakers won't usually take enough action on either side to warrant a line move.
There are certain instances that fit the bill before the postseason, though. Let's pretend that North Carolina is a 7-point favorite against Duke and 80 percent of bettors are taking the Tar Heels. In this example, the game receives a large volume of bets, meaning oddsmakers would likely move the line to 7.5 or 8 to encourage more bettors to take Duke to mitigate their risk. In simpler terms, contrarian bettors would be able to get a free half-point or point by taking an unpopular viewpoint and backing the underdog.
Buying back on artificially inflated lines is almost always a profitable strategy, but that's particularly true during March Madness. The number of bets on each game rises dramatically compared to the regular season, which positively impacts the value of betting against the public.
We should point out that although most bettors can be classified as squares, these casual bettors don't account for a large portion of the total dollars wagered -- at least not during the regular season. The NCAA tournament is an entirely different animal, as the number of square bettors increases exponentially -- and public money has a greater impact on sportsbooks. The American Gaming Association estimates that more than $9.2 billion is illegally wagered on the tournament every year. In this way, the tourney is comparable to the NFL playoffs.
To provide some context, teams receiving less than 50 percent of the action on spread bets have gone just 18,363-18,465 (49.9 percent) in regular-season games, but they're 362-329 ATS (52.4 percent) in NCAA tournament games since the start of the 2004-05 season. When we focus on the most heavily-bet tournament games, our return on investment increases tremendously.
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ESPN INSIDER
Betting against the public is one of the most basic and popular methods used at Sports Insights. We've gone to tremendous lengths to prove that this system produces a positive return on investment, and each season we update our betting percentage data to find the optimal betting percentage threshold for that contrarian strategy.
There are two types of bettors: sharps and squares. Imagine the sports betting marketplace as a seesaw. If too many square bettors load up on one side (typically caused by an overreaction to recent results), oddsmakers need to even the weight by adjusting the line and encouraging action on their opponent. These shaded lines create additional value for contrarian bettors that are willing to take the unpopular side and go against the grain.<offer style="box-sizing: border-box;"></offer>
A direct correlation exists between the number of bets placed and the value derived from betting against the public, but the sample size is limited during the regular season. Unfortunately, this makes many of our basic betting against the public strategies ineffective -- if two mid-majors square off, oddsmakers won't usually take enough action on either side to warrant a line move.
There are certain instances that fit the bill before the postseason, though. Let's pretend that North Carolina is a 7-point favorite against Duke and 80 percent of bettors are taking the Tar Heels. In this example, the game receives a large volume of bets, meaning oddsmakers would likely move the line to 7.5 or 8 to encourage more bettors to take Duke to mitigate their risk. In simpler terms, contrarian bettors would be able to get a free half-point or point by taking an unpopular viewpoint and backing the underdog.
Buying back on artificially inflated lines is almost always a profitable strategy, but that's particularly true during March Madness. The number of bets on each game rises dramatically compared to the regular season, which positively impacts the value of betting against the public.
We should point out that although most bettors can be classified as squares, these casual bettors don't account for a large portion of the total dollars wagered -- at least not during the regular season. The NCAA tournament is an entirely different animal, as the number of square bettors increases exponentially -- and public money has a greater impact on sportsbooks. The American Gaming Association estimates that more than $9.2 billion is illegally wagered on the tournament every year. In this way, the tourney is comparable to the NFL playoffs.
To provide some context, teams receiving less than 50 percent of the action on spread bets have gone just 18,363-18,465 (49.9 percent) in regular-season games, but they're 362-329 ATS (52.4 percent) in NCAA tournament games since the start of the 2004-05 season. When we focus on the most heavily-bet tournament games, our return on investment increases tremendously.
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CRITERIA | ATS RECORD | UNITS WON | ROI |
---|---|---|---|
Received <50% of bets | 362-329 (52.4%) | +14.20 | +2.1% |
Received <50% of bets, 1.5x Daily Average | 56-30 (60.9%) | +17.24 | +18.7% |
*Closing lines from Pinnacle were used to determine records |