56 lines
2.6 KiB
C#
56 lines
2.6 KiB
C#
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using System;
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using System.Collections.Generic;
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using System.Text;
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namespace IW4MAdmin
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{
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class TrueSkill
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{
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public static double calculateWinnerMu(Stats originStats, Stats targetStats)
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{
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double Beta = originStats.lastMew / 6;
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double lastSkill = Gaussian(originStats.lastMew, originStats.lastSigma);
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double c = Math.Sqrt((2 * Beta * Beta) + (originStats.lastSigma * originStats.lastSigma) + (targetStats.lastSigma * targetStats.lastSigma));
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double newMew = originStats.lastMew + ((originStats.lastSigma) * (originStats.lastSigma) / c) * ((originStats.lastMew - targetStats.lastMew) / c);
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return newMew;
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}
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public static double calculateLoserMu(Stats originStats, Stats targetStats)
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{
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double Beta = originStats.lastMew / 6;
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double lastSkill = Gaussian(originStats.lastMew, originStats.lastSigma);
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double c = Math.Sqrt( (2 * Beta * Beta) + (originStats.lastSigma * originStats.lastSigma) + (targetStats.lastSigma * targetStats.lastSigma));
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double newMew = originStats.lastMew - ((targetStats.lastSigma) * (targetStats.lastSigma) / c) * ((originStats.lastMew - targetStats.lastMew) / c);
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return newMew;
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}
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public static double calculateLoserSigma(Stats originStats, Stats targetStats)
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{
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double Beta = originStats.lastMew / 6;
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double lastSkill = Gaussian(originStats.lastMew, originStats.lastSigma);
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double c = ((2 * Beta * Beta) + originStats.lastSigma * originStats.lastSigma) + (targetStats.lastSigma * targetStats.lastSigma);
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double newSigma = originStats.lastSigma * ( 1 - (targetStats.lastSigma) * (targetStats.lastSigma) / c) * ((originStats.lastMew - targetStats.lastMew) / c);
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return newSigma;
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}
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public static double calculateWinnerSigma(Stats originStats, Stats targetStats)
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{
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double Beta = originStats.lastMew / 6;
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double lastSkill = Gaussian(originStats.lastMew, originStats.lastSigma);
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double c = ((2 * Beta * Beta) + originStats.lastSigma * originStats.lastSigma) + (targetStats.lastSigma * targetStats.lastSigma);
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double newSigma = originStats.lastSigma * (1 - (originStats.lastSigma) * (originStats.lastSigma) / c) * ((originStats.lastMew - targetStats.lastMew) / c);
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return newSigma;
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}
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//https://gist.github.com/tansey/1444070
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public static double Gaussian( double mean, double stddev)
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{
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double y1 = Math.Sqrt(-2.0 * Math.Log(.5)) * Math.Cos(2.0 * Math.PI * .5);
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return y1 * stddev + mean;
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}
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}
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}
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