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    <p>For your example, you need to consider the possible ways that the outcome can occur.</p> <p>For win 7, lose 2, tie 1. There are <code>10! / (2!*7!)</code> or 360 possible ways. So multiply all the outcomes as you did, then multiply by that many permutations of the outcomes.</p> <p>For all wins, you can just multiply because there's exactly one permutation of ten wins. For a mix, you need to consider the permutation.</p> <p>In general for this problem the permutations will be <code>10!/(w!*l!*t!)</code> where w is number of wins, l is number of losses, and t is number of ties.</p> <p><strong>Edit 1</strong> Note that the above only indicates how to count the permutations. The total probability is the number of permutations times (pw^w*pl^l*pt^t) where pw is probability of a win, pl a loss, pt a tie. w, l, and t, are the counts of each.</p> <p><strong>Edit 2</strong> OK, in light of the new information, I don't know of a general way to do this. You'll have to individually computer each outcome by hand and add them together. With your two-game example above. If you want to find the probability of 1 win and 1 tie, you'll have to find every possible way of getting exactly 1 win and exactly one tie (there are only two) and add them up.</p> <p>For ten games with the initial example, you'll have 360 outcomes that meet your criteria. You'll have to do each permutation and add up the probabilities. (wwwwwwwllt, wwwwwwwltl, etc) Unfortunately, I don't know of a better way to do this.</p> <p>Further, in your two-game example, for one win and one tie, you must add the probability of winning the first game and tying the second to the probability of tying first, then winning.</p> <p>So, there are nine independent outcomes:</p> <pre><code>W W W T W L T W T T T L L W L T L L </code></pre>
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