# The Relationship Between Randomness And Correlation Between A Team Winning Or Losing?

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Whether or not it is noticed, there are numerous examples of variability in day to day life. Randomness can take many forms, but one such example is in the sport of soccer. The same two teams could play the same game against each other five times and each game could have a different score with both teams being able to win at least once. There must be a reason for inconsistencies like this. That is randomness and variability. For sure, each team has its own players with their own skills, but when it comes down to it, there’s a level of randomness in the sport that can often mean the difference between a team winning or losing. Even generally speaking, the sport has randomness in it that has no hugely perceivable on the outcome of the game, …show more content…

For instance, in the odd chance that there were no major delays of the game in professional soccer, the total time of the first half may be 44 minutes and 59 seconds and 10 milliseconds and so on. It is highly unlikely that play will commence for exactly 40 minutes, no more, no less.
It can also be taken into account that delays are very common in the sport. Say a game time was set at 6:00 p.m., but a rain delay caused it to start at 6:10 instead. Many factors can affect the timing of soccer. Another great example is the fact that at the end of the game the referee allows for ‘make-up’ play. In Major League soccer lost time during played is made up after the 90 minutes had been spent. It is not uncommon to see famous players, like Cristiano Ronaldo, flop on the ground and ‘milk’ an injury after an opposing player barely bumped them. This causes a major interruption of play and can cost minutes off of the clock. Brawls, ‘streakers’, injuries, and weather all affect the time span of a game. In order to make up for what was lost, the referee allots extra time after the 90 minutes has expired. This time is supposed to “make-up” for all of the delays. However, the extra time given almost never truly matches the amount of time lost. Say during the game there was a roughly 5-minute recovery period for an injured player, a 7-minute