public static PlayerStats deserialize(BinaryReader reader)
{
var playerName = reader.ReadString();
var client = strToPokerClient(reader.ReadString());
var totalPlayers = reader.ReadInt32();
var vpipPositive = reader.ReadInt32();
var vpipTotal = reader.ReadInt32();
var preFlopTotal = reader.ReadInt32();
var preFlopAds = new ActionStats[preFlopTotal];
for (int i = 0; i < preFlopTotal; i++)
{
preFlopAds[i] = ActionStats.deserialize(reader);
}
var postFlopTotal = reader.ReadInt32();
var postFlopAds = new ActionStats[postFlopTotal];
for (int i = 0; i < postFlopTotal; i++)
{
postFlopAds[i] = ActionStats.deserialize(reader);
}
return(new PlayerStats(playerName, client, (TableType)totalPlayers, vpipPositive, vpipTotal, preFlopAds, postFlopAds));
}
public static ActionStats deserialize(BinaryReader reader)
{
ActionStats ad = new ActionStats();
ad.BetRaiseSamples = reader.ReadInt32();
ad.CheckCallSamples = reader.ReadInt32();
ad.FoldSamples = reader.ReadInt32();
return(ad);
}
public void calculateWTP(out int positiveCount, out int totalCount)
{
var totalForcedStats = new ActionStats();
for (int i = 0; i < _allPostFlopParams.Count; i++)
{
if (_allPostFlopParams[i].NumBets > 0)
{
totalForcedStats.append(PostFlopStats[i]);
}
}
positiveCount = totalForcedStats.CheckCallSamples + totalForcedStats.BetRaiseSamples;
totalCount = positiveCount + totalForcedStats.FoldSamples;
}
public void calculatePFR(out int betRaiseCount, out int totalCount)
{
ActionStats totalAD = new ActionStats();
for (int i = 0; i < _allPreFlopParams.Count; i++)
{
if (_allPreFlopParams[i].NumRaises == 0)
{
totalAD.append(PreFlopStats[i]);
}
}
betRaiseCount = totalAD.BetRaiseSamples;
totalCount = totalAD.totalSamples();
}
public void calculateAggression(out int raiseCount, out int totalCount)
{
var totalForcedStats = new ActionStats();
var totalUnforcedStats = new ActionStats();
for (int i = 0; i < _allPostFlopParams.Count; i++)
{
if (_allPostFlopParams[i].NumBets > 0)
{
totalForcedStats.append(PostFlopStats[i]);
}
if (_allPostFlopParams[i].NumBets == 0)
{
totalUnforcedStats.append(PostFlopStats[i]);
}
}
raiseCount = totalForcedStats.BetRaiseSamples + totalUnforcedStats.BetRaiseSamples; // bets + raises
totalCount = raiseCount + totalForcedStats.CheckCallSamples; // bets + raises + calls
}
public PlayerStats(string playerName, PokerClient client, TableType tableType)
{
PlayerName = playerName;
Client = client;
_tableType = tableType;
VPIP = new StatValue();
_allPreFlopParams = PreFlopParams.getAllParams(_tableType);
_allPostFlopParams = PostFlopParams.getAllParams(_tableType);
PreFlopStats = new ActionStats[_allPreFlopParams.Count];
PostFlopStats = new ActionStats[_allPostFlopParams.Count];
for (int i = 0; i < PreFlopStats.Length; i++)
{
PreFlopStats[i] = new ActionStats();
}
for (int i = 0; i < PostFlopStats.Length; i++)
{
PostFlopStats[i] = new ActionStats();
}
}
private EstimatedAD estimateADPostFlop(PlayerStats playerStats, DifferencePair[] sortedOpponents, PostFlopParams postFlopParams)
{
Debug.Assert(playerStats != null);
var priorBetRaise = new HistDistribution(_options.priorNumBins);
var priorCheckCall = new HistDistribution(_options.priorNumBins);
var priorFold = new HistDistribution(_options.priorNumBins);
var cumulativeActionsStats = new ActionStats();
int k = 0;
for (int i = 0; (i < sortedOpponents.Length) &&
(k < _options.maxSimilarPlayers) &&
(k == 0 || sortedOpponents[i].Difference < _options.maxDifference); i++)
{
int playerInd = sortedOpponents[i].Index;
if (_baseModels[playerInd].Aggression.Sigma < _options.maxBaseStatsSigma)
{
ActionStats similarOponentStats = _fullStatsList[playerInd].getPostFlopStats(postFlopParams);
if (similarOponentStats.totalSamples() > _options.minSamples)
{
priorBetRaise.AddSample(similarOponentStats.betRaiseProbability());
priorCheckCall.AddSample(similarOponentStats.checkCallProbability());
priorFold.AddSample(similarOponentStats.foldProbability());
k++;
}
else
{
cumulativeActionsStats.append(similarOponentStats);
}
if (cumulativeActionsStats.totalSamples() > _options.minSamples)
{
priorBetRaise.AddSample(cumulativeActionsStats.betRaiseProbability());
priorCheckCall.AddSample(cumulativeActionsStats.checkCallProbability());
priorFold.AddSample(cumulativeActionsStats.foldProbability());
cumulativeActionsStats.clear();
k++;
}
}
}
priorBetRaise.Normalize();
priorCheckCall.Normalize();
priorFold.Normalize();
// Update prior sa statistikom igraca
ActionStats startStats = playerStats.getPostFlopStats(postFlopParams);
var estBetRaise = estimateGaussian(priorBetRaise, startStats.BetRaiseSamples, startStats.totalSamples());
var estCheckCall = estimateGaussian(priorCheckCall, startStats.CheckCallSamples, startStats.totalSamples());
var estFold = estimateGaussian(priorFold, startStats.FoldSamples, startStats.totalSamples());
if (postFlopParams.ForcedAction())
{
var totalMean = estBetRaise.Mean + estCheckCall.Mean + estFold.Mean;
var scale = 1.0f / totalMean;
estBetRaise = estBetRaise.Scale(scale);
estCheckCall = estCheckCall.Scale(scale);
estFold = estFold.Scale(scale);
}
else
{
var totalMean = estBetRaise.Mean + estCheckCall.Mean;
var scale = 1.0f / totalMean;
estBetRaise = estBetRaise.Scale(scale);
estCheckCall = estCheckCall.Scale(scale);
estFold = new GaussianDistribution(0.0f, 0.0f);
}
return(new EstimatedAD(estBetRaise, estCheckCall, estFold, k, startStats.totalSamples()));
}
public void append(ActionStats asv)
{
BetRaiseSamples += asv.BetRaiseSamples;
CheckCallSamples += asv.CheckCallSamples;
FoldSamples += asv.FoldSamples;
}
