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POFoosball result prediction
 

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    <p>In our office, we regularly enjoy some rounds of foosball / table football after work. I have put together a small java program that generates random 2vs2 lineups from the available players and stores the match results in a database afterwards.</p> <p>The current prediction of the outcome uses a simple average of all previous match results from the 4 involved players. This gives a very rough estimation, but I'd like to replace it with something more sophisticated, taking into account things like:</p> <ul> <li>players may be good playing as attacker but bad as defender (or vice versa)</li> <li>players do well against a specific opponent / bad against others</li> <li>some teams work well together, others don't</li> <li>skills change over time</li> </ul> <p>What would be the best algorithm to predict the game outcome as accurately as possible?</p> <p>Someone suggested using a neural network for this, which sounds quite interesting... but I do not have enough knowledge on the topic to say if that could work, and I also suspect it might take too many games to be reasonably trained.</p> <p>EDIT:<br> Had to take a longer break from this due to some project deadlines. To make the question more specific:</p> <p>Given the following mysql table containing all matches played so far:</p> <pre><code>table match_result match_id int pk match_start datetime duration int (match length in seconds) blue_defense int fk to table player blue_attack int fk to table player red_defense int fk to table player red_attack int fk to table player score_blue int score_red int </code></pre> <p>How would you write a function predictResult(blueDef, blueAtk, redDef, redAtk) {...}<br> to estimate the outcome as closely as possible, executing any sql, doing calculations or using external libraries?</p>
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