__a strategy for Super Bowl Squares ... the choice is yours!__

**is**The game of Football Squares, or Super Bowl Squares, is a game where each player picks one or more squares in a 10 x 10 grid. The game is played typically as follows. The rows and columns correspond to the home and visiting teams respectively.

__After__the squares are selected by writing names in each of the 100 squares, every row and each column is assigned a unique digit, chosen at random, from 0-9. Squares become winning squares after the first three quarters and after the final score by using the ending digit of the score. So, if after the first quarter, the score is Home Team 14 Visiting Team 3, then the square identified by the row with the number "4" and the column with the number "3" is the winning square for that quarter. It is possible that a single square wins more than one time throughout the game. What strategies can you employ for this game in terms of how many squares you can pick and how those squares are configured?

### Best Numbers

If you knew which rows and columns would get assigned which digits, then you'd want the best numbers for each of the first three quarters (Q1-Q3) and the final score (FS). Q4 is the same as the final score except for games that have overtime. Here are the probabilities that have shown up using 5220 professional football game box scores (quarter by quarter scores) from 1994 (when the two point conversion rule was adopted) through the entire 2013-2014 season.

This shows that overall for Q1-Q3,FS, the numbers 0 (especially in the first quarter) and 7 are the best, 3 and 4 are good, 6 and 1 are OK, and 8, 9, 2, and 5 are not so good (unless the score that day happens to turn out to be 42 to 35!).

But the overall numbers only tell part of the story. You have a combination of numbers - one number for each team. Depending on which of your numbers corresponds to the favorite and underdog team does matter. Here is an expanded table showing the relative value of all the possible combinations of digits for Q1-Q3,FS. This table shows what your numbers are worth relative to the others. The 0-0 and 7-0 (favorite-underdog) squares are the best and worth about 8x the average square. The 2-2 rarely shows up and is worth only about 1/40th (0.02) of an average square's value.

### The Strategy

The bottom line is that Football Squares a fair game, such that over the long term, it makes no difference as to what squares you select in terms of how many winning squares you are likely to collect. Someone who has no knowledge of football is expected to win just as many squares as anyone else choosing the same number of squares. This bottom line, however, does not mean that you can't use a strategy. A strategy can be used to affect the likelihood of certain outcomes in any one game. In short, you can trade a small increased chance that you won't win any squares for a much larger chance that you'll win two, three, or even (although rare) four squares in a single game.

Using the 5220 professional football game box scores (1994-2013 regular season), over one billion computer simulations have been run where squares are picked, a game is chosen, and rows and columns assigned random 0-9 digits. It turns out there are 60 unique configurations you can select up to five squares given the digits for rows and columns are random. Over a billion simulations are needed because there are 4,124,276,932,608,000,000 total possibilities (10! x 10! x 5220 x 60 - that's over 4 quintillion or 4 billion billion).

At the extreme ends, there are two strategies that emerge. If you pick squares such that each square selected has a unique row and column, you will maximize your chance at winning something (most often only a single square) and minimize your chance, relative to other strategies, that you'll win two or more squares in a single game.

The other extreme is to select a strategy that maximizes your chance of winning two or more squares. You can try to go home the BIG winner (I like this strategy!). This strategy says that you should select squares along the row/column corresponding to the visiting team (or with even stronger results, use the row/column corresponding to the underdog especially if the game is expected to be low scoring). In fact, you should pick as many squares as you can in that row/column and even start on a next row/column as long as you aren't violating any etiquette for picking too many squares.

Consider selecting four squares in the two extreme strategies ...

**configuration A**, picking them with unique rows and columns - maximizes winning something and

**configuration H**, picking them all in a column - maximizes winning two or more squares. Expanded, the probability table looks like this:

The expected squares are calculated by multiplying the number of wins with the associated probability and summing it all up. The numbers for 2 or more wins and winning something (>0) match the values next to the patterns below. All configurations of selecting four squares sum to 16% as each square has a 1% expectation of winning each of the Q1-3,FS (4 squares x 4 opportunities x 1% each is 16%). Notice, that essentially your strategy - how you select your squares - allows you to trade off a small probability for winning something for a much larger probability for winning two or more squares.

### All possible ways to select up to 5 squares

Below is a final tabulation of all possible ways to select 1-5 squares along with the probability of winning 2 or more squares and the probability of winning something. Reading top to bottom and then left to right, the configurations are ordered to maximize your probability of winning two or more squares. The column direction reflects the underdog team and the row direction reflects the favorite. Squares next to each other mean any squares on the same row or column. Squares offset from the others mean any square with a unique row and column. Pick one of the extreme configurations or pick one in between - the choice of strategy is yours

### The Bottom Line

In summary, your strategy can't change your total expected value -- only the probability for various outcomes to happen. However, your strategy can definitely change the likelihood for the different outcomes. For me, I want to go home the big winner, so I'll live and die each time I play by selecting them all in a column corresponding to the underdog team. More times, I'll go away without winning, but when I do win, I might be the big winner of the day! The choice of strategy is yours!

This is a fantastic analysis, but it falls short of answering one very basic question. "Which configuration is the best configuration to play which maximizes your TOTAL EXPECTED EARNINGS. To answer this we need to know the partial percentages for Win = 0, Win = 1, Win = 2, Win = 3, Win = 4, and Win = 5. If we know those individual percentages than we can simply use the following formula for Expected value for each configuration. EV = WP(1)*payout + WP(2)*payout*2 + WP(3)*payout*3 + WP(4)*payout*4. This equation assumes all payouts are equal which may or may not be the case for a persons given pool. For the sake of this investigation let's assume that all payouts are the same. Then the equation simplifies to the following:

ReplyDeleteEV = OnePayoutAmount * [WP(1win) + 2*WP(2wins) + 3*WP(3wins) + 4*WP(4wins)]

Since it seems that you've done most of the leg work already, can you tweak your simulation to produce the WP's (win probabilities) for each of the exact number of wins and then plug into this formula so we can make a comparison of configurations based on TOTAL EXPECTED VALUE. It might turn out that competing strategies will be a wash in the end, but you never know until you examine the data.

Thanks for the comment. The total expected earnings per square selected is the same! There is no way to maximize your total expected earnings. When I started this study, indeed, I was looking for the way to maximize expected earnings but soon realized every square is identical in terms of it's expectation value since the digits for rows and columns are random. No square is preferred and no combination of picking multiple squares is preferred in terms of giving higher expected earnings.

DeleteWhile the expectation value is the same, different configurations have different probabilities for the possible outcomes. In your notation, WP(1), winning a single square, can be relatively high and WP(2),WP(3),WP(4) relatively low OR you can pick a configuration where WP(1) is lower, but WP(2),WP(3), and WP(4) are higher. Total Expected Earning for either configuration, no matter how the payouts are awarded, is exactly the same.

I've modified the post to make this explicit using your suggestion. showing all the probabilities for configurations H and A when selecting four squares.

In reference to the >=2 strategy, can you explain what you mean by the row/column that corresponds with the underdog? If the underdog's numbers are on the y axis, am I getting boxes parallel along the y-axis or perpendicular along the x-axis?

ReplyDeleteHi, I understand how that can be confusing, I'll think more about how to clarify the posts. To maximize the chance of winning 2 or more game, with the underdog on the y axis, you would select squares perpendicular to that axis, i.e. you would pick a single number for that underdog team. Makes sense as that underdog is more likely to score 0 points and not have its ending digit change compared with a high scoring favorite. Thanks for reading and good luck.

DeleteYour analysis may indeed be correct, and I realize your dataset involves all games, regular season and playoffs. I still would be reluctant to pick colinear squares only, either in a row or column. Looking at scores from the 49 superbowls only, there are 5 ending digits which appear in less than 19% of the end-of-quarter scores. Perhaps that is due the small sample size, but I wouldn't want to risk a 50% chance of drawing a bad number for the row or column selected.

ReplyDeleteLess than 19% of end-of-quarter scores in Superbowls 1-49 have a team score that ends in any of 1,2,5,8 or 9.

DeleteYour thinking is correct ... putting all your picks in a column does mean that you might be unlucky with getting a not so good number for all your picks. The choice is yours. So, pick so each square is in a unique row and column ... you'll likely have some decent numbers and some not-so-decent numbers. You'll maximize your chance of being one of the winners at your Super Bowl party.

DeleteIt's just as valid to make the other choice. Put 'em all in a column. Brag about it (how you read it here!). And then, when a 0 or 7 comes up in your column, boast some more. If you do win two or more squares, you'll be a legend (maybe only in your own mind, but a legend nonetheless)! Have fun with Super Bowl 50!

Thank you for this blog post. I took a hybrid approach between totally disjoint and 2 or 3 in a row/column. 75% of my squares are "bad" (2,5 & 8 for the favorite) but I did end up grabbing the 0-7 and the 7-6!

DeleteI wonder if (and hope) the longer extra point kick this year will change the distribution of numbers. They were still made 94% of the time in 2015, but the misses are frequent enough that some teams are going for the 2-point conversion more often, even before missing a PAT. If that happens, my 8's are looking pretty good!

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ReplyDeleteThis is only somewhat relevant, but I was hoping you could help. There is an argument between several friends on if buying multiple squares increases your odds of winning. This is not including any variance based on placement of squares. Randomly assigned squares and numbers. Also how would htat look as an equation?

ReplyDeleteEvery square you buy increases your chance of winning by 1% not accounting for the winning probability of the squares. That's pretty basic probability that the more squares you own, the higher your chance of hitting is.

DeleteThis is a subtle question. Yes, everything is random and every square you buy increases your winning expectation value by 1% per square per quarter. But this is NOT "chance of winning" (probability of winning at least one square). This is exactly what depends on how you pick squares and how many square you pick.

DeleteFor 10 squares or less, you are best off in one game picking as many squares along a diagonal (or each with a unique row and column) to maximize your chance of winning. From the tables above, you see a number 13.47% as the probability of winning at least one square when picking 4 squares. Picking a single square is 3.46% or a probability of not winning of (1 - 3.46%). You should compare 13.47% to [1 - (1 - 3.46%)^4 ] = 13.14% where you raise the expression to the power of 4 because we are considering 4 squares. Four "diagonal squares" in a single game has a 13.47% chance of winning compared with buying 1 square in four games with a 13.14% chance of winning. So, buying multiple squares (on a per square basis) in a single game DOES increase your "odds of winning" compared with playing the same number of squares multiple times. Detailed write-up: http://footballsquares.blogspot.com/2013/11/number-of-picks-strategy.html

In the diagram, you are saying along the top line is the Underdog and on the side is the Favorite? What if the squares I'm playing are reversed, would I just turn the images 90 degrees to one side before making my picks, to keep the percentages valid?

ReplyDeleteYes, all you need to do is turn the image by 90 deg. Good luck!

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ReplyDeleteHere's an odd question...what is the probability that a person participating in two separate football squares games chooses one square in each game (different location on each grid) and gets the same exact numbers. It happened this year...one participant in each game received 9 for the AFC and 7 for the NFC in both games even though the numbers were randomly drawn and the AFC and NFC axis were not the same in each pool.

ReplyDeleteThat's not an odd question. Given you have a a pair of numbers from the previous years, it's a 1% probability you'll get the same pair of numbers for your squares again this year. Pretty rare ... once out of 100 time. The AFC/NFC axes don't matter in this calculation. Best.

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