Calculate Odds of Team in Tiebreaker 2 Years in a Row

AI Thread Summary
Calculating the odds of a team being involved in a season-end tiebreaker for two consecutive years is complex due to various unpredictable factors, such as player performance and external conditions. Statistical models often rely on assumptions, like equal winning probabilities and consistent match numbers, which may not reflect reality. Gathering extensive historical data and applying numerical analysis is recommended over relying solely on mathematical modeling. This approach can help account for the inherent uncertainties in sports outcomes. Ultimately, accurate predictions require a blend of data analysis and understanding of the sport's dynamics.
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So, I am discussing with a friend of mine the odds of having a team be involved in a season end tiebreaker 2 years in a row. Although I did have statistics in college, I am a not a great statistician, so I am wondering if someone can help me with how to calculate the odds.

Thanks!
 
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In such situations it is always difficult to get a reliable result. In stasticial models you usually make all kinds of assumptions (in the simplest case: the probability of any team winning a match is always equal to p and the number of matches played every season is the same). However, obviously apart from the complicated statistical factors (varying strengths of the opponents and qualities of the players in the team, ...) there is always some uncertainty which is hard to capture in the model (players can have a bad day, rain can spoil the game for the team which would have won if it had been sunny, a team can lose by one player hitting the ball in an unlucky way, ...)

Your best bet would probably to collect as many data from past years as possible, and apply some numerical analysis on that, rather than trying to make a mathematical model.
 
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