The Fiddler Baseball League consists of exactly two teams of equal skill: the Algebraists and the Geometers. Over the course of a season, these two teams play each other 162 times. Each team has an equal chance of winning each game, and the results of games are independent of one another.
At the end of the season, on average, how many games would you expect the team with the better record to have won? (If the teams have the same record, then you should include one of them in your calculation.)
Looking at a total of $2g$ games between two teams :
The expected number of games won by the team with the better record can be expressed as :
\begin{align*} G &= \left(\left(2\cdot \sum\limits_{k=0}^{g-1} (2g-k) \cdot {2g \choose k}\right) + g \cdot {2g \choose g}\right)\cdot \dfrac{1}{2^{2g}} \\ &= \left(\left(2\cdot \sum\limits_{k=0}^{g-1} \dfrac{(2g-k)\cdot(2g)!}{(2g-k)!\cdot k!}\right) + g \cdot {2g \choose g}\right)\cdot \dfrac{1}{2^{2g}} \\ &= \left(\left(2\cdot2g\cdot \sum\limits_{k=0}^{g-1} \dfrac{(2g-1)!}{(2g-1-k)!\cdot k!}\right) + g \cdot {2g \choose g}\right)\cdot \dfrac{1}{2^{2g}} \\ &= \left(\left(2\cdot2g\cdot \sum\limits_{k=0}^{g-1} {2g-1 \choose k}\right) + g \cdot {2g \choose g}\right)\cdot \dfrac{1}{2^{2g}} \\ &= \dfrac{\left(\left(2g\cdot \sum\limits_{k=0}^{2g-1} {2g-1 \choose k}\right) + g \cdot {2g \choose g}\right)}{2^{2g}} \\ &= \dfrac{2g\cdot2^{2g-1} + g \cdot {2g \choose g}}{2^{2g}} \\ &= g + \dfrac{g \cdot {2g \choose g}}{2^{2g}} \\ \end{align*}Substituting $g = 81$ yields $$\boxed{\approx 86.0699}$$
After some expansion, the Fiddler Baseball League now boasts 30 teams. Over the course of a season, each team plays each other team five times. (Thus, each team plays a total of 145 games.) As before, each team has an equal chance of winning each game, and the results of games are independent of one another.
At the end of the season, on average, how many games would you expect the team with the best record to have won? (If more than one team has the same best record, then you should include one of them in your calculation.)</p
I ran a simulation 10 million times and achieved...