Skip to main content

Winning

Winning.  Have you ever wondered about just how many games must your team win to know, guaranteed, it has won a certain number of consecutive games?  This is, not likely to have won a certain number of consecutive games.  But actual consecutive wins.  Thinking a bit combinatorially we can determine this with a simple formula.  Notation:

n = number of games in a season
r = number of consecutive wins desired

Let n/r = m R k.  That is m is the integer divisor of n by r, which is 0, 1, 2,…, and k is the remainder, 0 ,1,…,  r-1. 

For example 53/5 = 10 R 3, or 21/6 = 3 R 3. Then we have the minimum number of games that must be won to guarantee r consecutive wins W sometime during a season is given by

W = m(r-1) + k + 1

In the table below, we give some examples for various sports.Of course, when r = 2, that value is the next highest number greater than half the number of games when n is even.  
Number of games played
Run of consecutive wins
Minimum wins needed
Winning percentage
Sport
160
2
81
50.6%
Baseball
80
2
41
51.3%
Basketball
38
2
20
52.6%
Soccer*
16
2
9
56.3%
Football (American)
160
3
108
67.5%
Baseball
80
3
55
68.8%
Basketball
38
3
27
71.1%
Soccer*
16
3
12
75.0%
Football (American)
160
4
121
75.6%
Baseball
80
4
61
76.3%
Basketball
38
4
30
78.9%
Soccer*
16
4
13
81.3%
Football (American)
160
5
129
80.6%
Baseball
80
5
65
81.3%
Basketball
38
5
32
84.2%
Soccer*
16
5
14
87.5%
Football (American)
* A win is exactly that; tie counts as a non-win


Now to solve the same problem over two seasons or more you merely select twice the season length.  Thus, while to win five consecutive wins over two seasons of 80 games each, take n to be 160, which gives the requirement to 129 wins. There is a slight possibility that a team could win the last three games of one season and the first two of the next season to get to five.  This forces the win requirement to be slightly smaller than double the previous value. 

The required number of wins is perhaps higher than you thought, but it is the guarantee that drives it upwards.  Treating this problem probabilistically is rather different. 

P.S. Thanks to John A. for reviewing the problem for clarity

Comments

Popular posts from this blog

Behavioral Science and Problem-Solving

I.                                       I.                 Introduction.                Concerning our general behavior, it’s high about time we all had some understanding of how we operate on ourselves, and it is just as important how we are operated on by others. This is the wheelhouse of behavioral sciences. It is a vast subject. It touches our lives constantly. It’s influence is pervasive and can be so subtle we never notice it. Behavioral sciences profoundly affect our ability and success at problem-solving, from the elementary level to highly complex wicked problems. This is discussed in Section IV. We begin with the basics of behavioral sciences, Section II, and then through the lens of multiple categories and examples, Section III. II.     ...

Where is AI (Artificial Intelligence) Going?

  How to view Artificial Intelligence (AI).  Imagine you go to the store to buy a TV, but all they have are 1950s models, black and white, circular screens, picture rolls, and picture imperfect, no remote. You’d say no thanks. Back in the day, they sold wildly. The TV was a must-have for everyone with $250 to spend* (about $3000 today). Compared to where AI is today, this is more or less where TVs were 70 years ago. In only a few decades AI will be advanced beyond comprehension, just like TVs today are from the 50s viewpoint. Just like we could not imagine where the video concept was going back then, we cannot really imagine where AI is going. Buckle up. But it will be spectacular.    *Back then minimum wage was $0.75/hr. Thus, a TV cost more than eight weeks' wages. ------------------------- 

Fake News

If you've been following the news the last couple of days, you will note the flurry of copy devoted to fake news.  Both sides are blaming whatever has befallen them the consequence of fake news.  Let's look at this phenomenon a bit.    When I was a student years ago, a friend climbed some mountain in Peru.   A article was written in the local newspaper about the event.   In only three column inches, the newspaper made about six errors.   An easy article to write you say?   Just interview and reproduce.   Yet so many errors?   The question is this: was this fake news or bad reporting?   The idea here is that fake news comes in various flavors. Bad reporting – errors made by the author or editor Opinion presented as news     Deliberate creation of falsehoods to favor a point of view       The reporting of selected truths to favor a particular point of view Now we have the big social media ...