![]() Here again, the same squares give you an edge, but if you have a different ending digit other than 0, 3, or 7, you now have at least a chance of winning. Now, let’s take a look at the second quarter. To put that another way, if you have a square that has something other than a 0, 3, or 7 in either spot, you are fighting with 91 other ‘bad’ squares for only 25% of the winning chances. The squares that contain only combinations of 0’s, 3’s, and 7’s make up more than 75% of the outcomes at the end of the first quarter. The main conclusion from this table is that, at the end of the first quarter, there are only a handful of squares that have even a puncher’s chance of winning the super bowls squares pot. Here is what we found at the end of the first quarter. The rows represent the home team’s score’s final digit and the column represents the away team’s score’s final digit. Two shades of red and green are chosen to indicate those squares that are slightly better/worse than average and those that are significantly better/worse than average. One last thing: The following images are colorized to indicate those squares that are better/worse than the others. This is reasonably strong evidence that in the super bowl, there should be about a 16.5% chance of the “0/0” cell winning the first quarter pool. This means the “0/0” cell would have hit 16.5% of times. For instance, I found that in a whopping 16.5% of games since 2015, both teams’ scores to end the first quarter ended in a 0. Then, I counted the frequency that each square in the super bowl squares grid would have won. So, using regular season data as well as playoff data simply expands our data set, increasing accuracy.įor the first graphic below, I looked at the scores at the end of the first quarter for all the games in our data set. However, other than being a matchup between the two best teams, the super bowl is not particularly different from any other game. Other analyses of super bowl squares have only used playoff games or actual super bowl data to determine the best squares. To determine the frequency of each square, I scraped (using the excellent BeautifulSoup package in Python) game scores at the end of each quarter for every regular season and playoff game since 2015. But, how much better are these squares than others? And, within the set of 9 permutations of 0, 3, and 7, which squares are better than others?įrequency of Numbers in Super Bowl Squares And, in this case, the general consensus is right. General consensus amongst football fans is that squares with combinations of 0’s, 3’s, and 7’s are the best for a super bowl squares pool. Usually, the board looks something like this: ![]() ![]() Awards are paid out at the end of the first, second, and third quarters as well as at the end of the game. For example, if the home team is winning 12-10 at the end of the first quarter, whoever has the number pairing “2/0” wins a portion of the buy-in pot. These numbers represent the one’s digit of the scores for the home team and the away team. ‘Super Bowl Squares’ is a game where people enter into a pool and are assigned a pair of two single-digit numbers like “7/6”, or “3/3”, or “1/2” etc. To see the specific probabilities, feel free to skip ahead to the super bowl squares probabilities for the 1 st quarter, 2 nd quarter, 3 rd quarter, or end of game below. Then, making just a few assumptions, we are able to compute the probabilities of each square hitting in the upcoming super bowl. To do this, I scraped the quarter-by-quarter score of a few thousand games of the 1500 most recent football games from pro football reference in order to use in this analysis.
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