
We found some good trends last week where a team in their previous game came back after being down at halftime to outright win the game. There was a definite effect on how the team performed in their next game. Let’s see if we can dig something up when a team is down at the end of the first quarter but comes back to win. The sample is games starting with the 2005 season.
Using the premise that our team was down only by one to four points at the end of the first quarter but ended up winning the game straight up, we looked at how they performed in their next game. To get any results of significance, our comeback team in the first game had to have been an underdog. In their next game, they only cover the spread 43.5% of the time, 123-160. The Under happens in 54.7% of these games. These are nice results for such a basic situation.
We are not specifying locations for either the previous or the next game. If we do add locations to the equation, we get a nice improvement on our Under to 66.7% if the come-from-behind game was on the road and we are now playing at home. But, if both the former game and the next one are both at home, our ATS rate drops to 28.6%. Our team must get a little too relaxed staying at home after their comeback win.
Let’s see how altering a couple of qualifiers can dramatically change the results of a trend. First, we are going to change the deficit at the end of the first quarter from being behind one to four points to five to nine points. Next, instead of the team that rallied and won being an underdog, we change them to have been the favorite. Comparing our previous situation where the first game was on the road and now playing at home and the Under happened at a 66.7% rate, just by changing from a dog to a favorite in the previous game and increasing the deficit, the next game now has completely opposite results with a 62.0% play on the Over!
If the team that rallied and won did it in an underdog role, it is probable to assume they are more focused in their next game and play better defense. However, if the team was a favorite and thus expected to win that game, even being down by a larger margin than the underdog had been after the first stanza, the favorite apparently doesn’t play with the same intensity in their next game. Perhaps an added emphasis is put on the offensive side after having to rally to win, but I do believe that it is easier to improve your defensive efficiency as compared to that on offense.
Now let’s increase the opponent’s lead at the end of Q1 to 10 to 15 points. We’ll keep the sites the same, previously away and now home. With the bigger margin to overcome for the win, the Over occurs 68.6% of the time in our next game. Interestingly enough, with the increase in the Q1 deficit to 10 to 15, there is very little difference between whether our team was a dog or a favorite in the first game. That significant enough of a comeback apparently affects all teams in a similar manner allowing the high Over rate in the next contest.
Since we looked at how teams do coming back to win a game after being down after only the first 12 minutes have been played, we need to turn the tables and discover if there are any trends for teams that blow a first quarter lead.
Our first situation will be a team that is ahead by one to four points after Q1 and ends up losing outright. There was nothing worth noting without adding some qualifiers. Let’s use the same sites that we did before: the first game on the road and the next at home. Let’s make our team favored in the first game.
Apparently in their next game, they want to make up for blowing the early lead as they play good defense staying Under the lined total 66.7% of the time. Just out of curiosity, I wanted to see what affect there might be in their next game to a team that loses a first quarter lead quickly on the way to a loss.
I took a team with a 5 to 9 point advantage at the end of Q1. That good feeling of having a lead quickly vanished as I made them behind in the score at halftime before going on to lose the game. There is a hangover effect with our team going just 65-99 ATS, 39.6%, in their very next game without any additional qualifiers. The ATS rate is lowered to 33.0% if the second game’s type of location is not the same as the first. One is a road game, the other is a home game, in either order.
In this scenario, we get a big wagering improvement when the team that blew the Q1 lead in Q2 are playing their next game without any rest. A pitiful 28.0% spread coverage rate, 11-27, occurs without having any consideration for locations. The Over comes through at 76.3%, 29-9. The record of this trend this season is 6-1 ATS and OU. However, the real icing on the cake is if our team’s opponent is playing the game with at least a day off as then the Over improves to a fantastic 25-3, 89.3%.
Here is another reason to look for who led after every quarter. If a team goes wire to wire leading after the first quarter, halftime, and the third quarter on their way to a win, there is a very good trend on the Over in their next game, if it’s at home. The one other qualifier is the team had to have been an underdog in the first game.
An underdog getting a win where they never were behind at the end of a quarter creates a relaxed feeling about playing defense the next time on the hardwood. The Over is 162-110 since the tip-off of the 2005 campaign, a 59.6% success ratio. If you want to drill down just a little bit more to improve that Over rate, we hit 68.7% if their next game is a non-conference one. Most of the time there is not the same amount of focus when going against a non-conference foe. Our super sweet spot is if the previous game was also played at home, the Over skyrockets to an 86.7% mark, 26-4!
The extra factor of no travel plus the comforts of playing in your arena, and perhaps the chance to go out and celebrate an easy win, can have tremendous influence on a team’s next total. Again, let’s look at the opposite: a team that was behind after each of the first three quarters but ended up winning the game covers the point spread in their next game only 36.7% of the time if that game and the previous game were played at home. Sometimes it pays to go out on the road!
How about when a team starts out really clicking on offense and puts up over 30 points in the opening period. Their offense then goes cold in Q2 and they only tally 20 points or less and go on to lose the game. Apparently, our team loses some confidence if they are now playing their next game as an underdog because they only cover the linesmaker’s number 32.8% of the time. That poor line-covering rate falls to 22.2% if our team was favored in their previous game where they went cold in Q2 after a hot start.
Paying attention to what happens in the first quarter of a game can make you some cash in the following game. You just have to know what to look for.
Jim Kruger of Vegas Sports Authority did all this work, probably without beers.
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