Dice rolling and conditional probability

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We are rolling a six-sided standard dice. We roll until we see an odd number appears. If this happens in one of the rollings, if this number is 5 we win and otherwise we lose - obviously the number is 1 or 3 in this case. What is the probability of the dice being at least 10 time rolled with the condition that we have won the game?

ATTEMPTED ANSWER: $$\sum_{i=9}^{∞} (\frac{1}{2})^i\frac{1}{6}$$

The idea behind my answer is this: Since we are sure that we have won, so the the last number which appears is 5. For the appearance of 5 we have the the probability of $\frac{1}{6}$ and for the rollings before that, surely even numbers have appeared. That means for each of them we have the probability of $\frac{1}{2}$.

Any idea of why my answer works or not is highly apprectiated. Is there any way to write the soloution in terms of conditional probability, for example $P(A|B)$?

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Since you already know that you win the game, you don't need to count for the possibilities that you roll odd numbers before you win. The probability you had $i$ rolls, given you win, is a geometric random variable with probability of success = $\frac14$ (success being a roll of $5$ and non-success being a roll of $2,4,$ or $6).$ Letting $X$ be the number of rolls, given you win:

$P(X=i) = \left(\frac34\right)^{i-1}\left(\frac14\right) \therefore P(X\ge10) = \sum\limits_{i=10}^\infty \left(\frac34\right)^{i-1}\left(\frac14\right) = \left(\frac34\right)^9$