Four Systems To Follow This NCAA Season

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Between Monday and the end of February there will be 5,772 NCAA Basketball games played.
Here are a couple of profitable trends that I use to help navigate my way through the betting season.

Bet on a home underdog coming off a straight up victory as an underdog in their previous game.

Past three seasons: 59.04% win rate.

Confidence + Motivation + Momentum = Upset.

Any team that fits this situation has this equation working for them.

Confidence is produced when the team gets a victory as an underdog.
Motivation is created by the home court atmosphere.
Momentum is present from the previous victory.

Teams in this spot also present major value against the line. Nine times out of ten the home underdog will be playing far better than the line indicates. A one game span is seldom enough time for the betting public to make proper perception adjustments. This results in the line being propelled up towards the road favorite.

When betting this situation, I wait as long as possible to get the best price available.

Bet against a team following a game where they beat a team with a higher ranking.

Past three seasons: 57.66% win rate.

Under Achieving Team + Upset Victory + Major Emotional High = Let Down.

This is a twist off the classic unranked team favored vs. a ranked opponent system.

Rarely does the fade team respond with an effort equivalent to that of their previous game. Off a major victory the target on the fade team becomes considerably bigger. This means the play team often puts forth an effort much stronger than expected or indicated by the line.

Like the first system, the line almost always moves in the trends favor. A team off a major victory gains a bigger public following then normal. Many times the major game played prior is on national television. This provides the betting public with a false perception and makes the fade team overvalued and over priced.

I like to wait till the last minute to play teams fitting this trend.

Extreme Totals –
Play Over any total of 155 or higher when both teams are coming off victories in their last game.
Play Under any total of 115 or lower when both teams are coming off victories in their last game.

Past three seasons: 56.69% win rate.

Common Strength + Common Strength = One Dimensional Outcome.

In order for a total to be extreme high or low, you must have exceptionally offensive or defensive minded teams playing against each other.
College athletes have short term memories. When a team that is “extreme” gets a victory, it is always due to playing to their particular strength. Coming off a victory, players tend to go with what worked last game. When matched up against an opponent with a common strength, the game becomes one dimensional. I find each team’s strength gets enhanced by the mirror image opponent.

The only factor working against this trend is line movement. Oddsmakers are tremendously sensitive with extreme totals. When money comes in in favor of the extreme, the line responds instantly.

When playing extremes, I lock my bet in as early as possible to ensure the best price.
 

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good info, will keep this in mind, need to track these and see how they do
 

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how do you know this is profitable going forward and not do to variance? which is generally the problem with betting trends.
 
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Do you or anyone else have a good link for a college basketball database to try and find trends like this? Thanks in advance.
 

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Do you or anyone else have a good link for a college basketball database to try and find trends like this? Thanks in advance.

I have a program that was written that stores box scores, 1st half, 2nd half lines as well as full game spreads and totals for all Div 1 NCAA Hoops and Football as well as the NBA and NFL. I have a couple seasons of each league/sport.
 

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how do you know this is profitable going forward and not do to variance? which is generally the problem with betting trends.

First of all, no one can guarantee if something will be profitable or not. Variance has the chance to happen with anything, but I believe that these four systems will continue to win because they are situations not statistics. All the variables are based on human performance/motivation. A home underdog is always going to put forth a good effort. A home underdog coming off an upset win is always going to put forth even a stronger effort. Teams on emotional highs are always going to come down, and they will always be listed at an inflated price. Then playing two offensive teams coming off a big offensive games is likely to be a repeat performance, vice versa with defense. Rather then basing a system strictly on a line or a statistic, this is taking advantage of teams in perticular situations. These have proven to be profitable spots in the past and should continue to be.
 

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I love love love this term you used "situations not statistics."

I have seen that there are situations (I call them BINs) where no matter how good the oddsmaker is in setting a line with the inputs they have that they miss it a bit a reasonably high fraction of the time and the line move to a more correct level. If you can see those situations and bet early you can get some overlays..like your #3 situation for example...
 

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Why aren't situations 1 & 2 contradictory?

In 1, after the home dog wins straight up, we should bet them again because "Confidence + Motivation + Momentum = Upset."

But in 2, after the team beats a team with the higher ranking (which may also fall into situation #1), we should bet against them because
"Under Achieving Team + Upset Victory + Major Emotional High = Let Down."

Why does the worse team in situation #2 have a letdown while the worse team in situation #1 have momentum when presumably they both overachieved in the previous game?
 

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Why aren't situations 1 & 2 contradictory?

In 1, after the home dog wins straight up, we should bet them again because "Confidence + Motivation + Momentum = Upset."

But in 2, after the team beats a team with the higher ranking (which may also fall into situation #1), we should bet against them because
"Under Achieving Team + Upset Victory + Major Emotional High = Let Down."

Why does the worse team in situation #2 have a letdown while the worse team in situation #1 have momentum when presumably they both overachieved in the previous game?

Absolutely not.

System one is betting a HOME UNDERDOG coming off a victory as an UNDERDOG (home or away) in their previous game. More likely then not this victory is coming on the road as an underdog SU. More then likely this will be against a decent team. This installs confidence in the team who MUST RETURN HOME in their next game to fit the system. If they were an underdog in their last game, they more then likely disrepected by the oddsmakers and home fans. A win before returning home creates a spark in the home crowd creating a better atmosphere for the team, an atmosphere where this team almost always over performs what is expected.

System two is betting against a team (home or away) coming off a victory as a FAVORITE against a higher ranked team. 1000/1000 times the team is favored over the better team at home. This game is almost always on national tv. The buzz around that game and victory puts this team on a such an emotional high, the sense of accomplishment kills any motivation in the next game and always causes a look over/let down spot. The betting public has the same reaction as they tend to fall in love with the performance they just watched on television and bet the team, inflating the line. This means the over priced team is set up to meet lesser expectations in their next game, but priced to exceed expectations.
 

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Ok, that helps a little but then post #1 isn't clear. Maybe situation #2 should be corrected to say, "Bet against a team following a game where they beat a team with a higher ranking when they were favored in that previous game." Otherwise, it's confusing and situations 1 & 2 would overlap although they are indicating opposite bets. Thanks.
 

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I like the totals rule...I've been doing that for years...Also I believe it was Wash St. that always has a defensive team... I like their unders as well
 

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One of the best ATS bets in college hoops is bet unranked fav at home against ranked visiting team. Not sure % but really high
 

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One of the best ATS bets in college hoops is bet unranked fav at home against ranked visiting team. Not sure % but really high

This is very wishy washy. Ive watched it not tracked it year after year and seems to be 50% or worse.
 

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Play Over any total of 155 or higher when both teams are coming off victories in their last game.
Play Under any total of 115 or lower when both teams are coming off victories in their last game.
Past three seasons: 56.69% win rate.
Common Strength + Common Strength = One Dimensional Outcome.
In order for a total to be extreme high or low, you must have exceptionally offensive or defensive minded teams playing against each other.
College athletes have short term memories. When a team that is “extreme” gets a victory, it is always due to playing to their particular strength. Coming off a victory, players tend to go with what worked last game. When matched up against an opponent with a common strength, the game becomes one dimensional. I find each team’s strength gets enhanced by the mirror image opponent.
The only factor working against this trend is line movement. Oddsmakers are tremendously sensitive with extreme totals. When money comes in in favor of the extreme, the line responds instantly.
When playing extremes, I lock my bet in as early as possible to ensure the best price.
VMI AIR FORCE OVER 160 5*
 

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