Example #1
0
 public SkillGaussian(SkillGaussian gaussian)
 {
     ID = gaussian.ID;
     IsJammer = gaussian.IsJammer;
     Precision = gaussian.Precision;
     Pam = gaussian.Pam;
     LastUpdated = gaussian.LastUpdated;
 }
Example #2
0
 public SkillGaussian(SkillGaussian gaussian)
 {
     ID          = gaussian.ID;
     IsJammer    = gaussian.IsJammer;
     Precision   = gaussian.Precision;
     Pam         = gaussian.Pam;
     LastUpdated = gaussian.LastUpdated;
 }
        // at some point, we'll need to take the current sigma of the player and increase it, probably based on time since last data
        private double CalculateTimeEffect(SkillGaussian player, DateTime newTime)
        {
            // how much do we want to scale the player's std dev?
            // it probably ought to be flat, not proportional
            // one way to think of it: how long would a well-understood player have to disappear to be treated as new again?
            // let's say two years-ish, and see what happens

            TimeSpan timeSpan = newTime - player.LastUpdated;
            if(timeSpan > _baseTimeSpan)
            {
                timeSpan = _baseTimeSpan;
            }
            double ratio = ((double)timeSpan.Ticks) / _baseTimeSpan.Ticks;
            double range = _baseSigma - player.Sigma;
            return range * ratio;
        }
        private SkillGaussian CreatePlayerSkill(int playerID, bool isJammer, DateTime dateOfGame)
        {
            // variances, not std dev, are sum-able
            // a^2 + b^2 != (a+b)^2
            var dictionary = isJammer ? _jammerSkillDictionary : _blockerSkillDictionary;

            if(!dictionary.ContainsKey(playerID))
            {
                SkillGaussian newPlayer = new SkillGaussian(playerID, 500, _baseVariance, isJammer, dateOfGame);
                dictionary[playerID] = newPlayer;
                return newPlayer;
            }
            var startingPlayer = dictionary[playerID];
            double tau = CalculateTimeEffect(startingPlayer, dateOfGame);
            startingPlayer.AddVariance(Math.Pow(tau, 2));
            startingPlayer.LastUpdated = dateOfGame;
            return startingPlayer;
        }
        private void CalculateNewPlayerRating(double c, double team1Multiplier, double v, double w, SkillGaussian player)
        {
            double meanMultiplier = player.Variance / c;
            double stdDevMultiplier = meanMultiplier / c;

            double playerMeanDelta = (team1Multiplier * meanMultiplier * v);
            double newMean = player.Mean + playerMeanDelta;
            double newVariance = player.Variance * (1 - (w * stdDevMultiplier));
            SkillGaussian newValues = new SkillGaussian(player.ID, newMean, newVariance, player.IsJammer, player.LastUpdated);
            if(player.IsJammer)
            {
                _jammerSkillDictionary[player.ID] = newValues;
            }
            else
            {
                _blockerSkillDictionary[player.ID] = newValues;
            }
        }