public void Delete(Ranking model)
{
using (var context = new BolfTrackerContext())
{
context.Rankings.Remove(model);
context.SaveChanges();
}
}
public void Add(Ranking model)
{
using (var context = new BolfTrackerContext())
{
context.Rankings.Attach(model);
context.Entry(model).State = EntityState.Added;
context.SaveChanges();
}
}
public void CalculateRankings(int month, int year)
{
// The easiest thing to do now is to just delete all of the rankings and insert the updated stats
DeleteRankings(month, year);
var games = _gameRepository.GetFinalizedByMonthAndYear(month, year);
var playerGameStatistics = _playerGameStatisticsRepository.GetByMonthAndYear(month, year);
var shots = _shotRepository.GetByMonthAndYear(month, year);
var players = _playerRepository.GetActiveByMonthAndYear(month, year);
// The eligibility line will only sample the top half of players sorted by number of games played
int eligibilityLine = DetermineEligibilityLine(games, players, playerGameStatistics);
// The second thing we want to do is find the top ranked player because we will need their stats
// to be able to calculate the "games back" for all other players
decimal topPlayerWinningPercentage = 0.00M;
int topPlayerWins = 0, topPlayerLosses = 0, topPlayerTotalPoints = 0, topPlayerPointsPerGame = 0;
Action<decimal, int, int, int, int> setTopPlayerStats =
(winningPercentage, wins, losses, totalPoints, pointsPerGame) =>
{
topPlayerWinningPercentage = winningPercentage;
topPlayerWins = wins;
topPlayerLosses = losses;
topPlayerTotalPoints = totalPoints;
topPlayerPointsPerGame = pointsPerGame;
};
foreach (var player in players)
{
int wins = playerGameStatistics.Count(gs => gs.Player.Id == player.Id && gs.Winner);
int losses = playerGameStatistics.Count(gs => gs.Player.Id == player.Id && !gs.Winner);
int totalPoints = playerGameStatistics.Where(gs => gs.Player.Id == player.Id).Sum(gs => gs.Points);
int pointsPerGame = totalPoints / (wins + losses);
decimal winningPercentage = (losses > 0) ? Decimal.Round(Convert.ToDecimal(wins) / Convert.ToDecimal(wins + losses), 3, MidpointRounding.AwayFromZero) : 1.00M;
// Player must first be eligible to be determined as the top player
if ((wins + losses) >= eligibilityLine)
{
// From here on down, use our top player algorithm to determine result (winning percentage --> ppg --> total points)
if (winningPercentage > topPlayerWinningPercentage)
{
setTopPlayerStats(winningPercentage, wins, losses, totalPoints, pointsPerGame);
}
else if (winningPercentage == topPlayerWinningPercentage)
{
if (pointsPerGame > topPlayerPointsPerGame)
{
setTopPlayerStats(winningPercentage, wins, losses, totalPoints, pointsPerGame);
}
else if (pointsPerGame == topPlayerPointsPerGame)
{
if (totalPoints > topPlayerTotalPoints)
{
setTopPlayerStats(winningPercentage, wins, losses, totalPoints, pointsPerGame);
}
}
}
}
}
// Next go through each player and calculate ranking stats to be put in the database
foreach (var player in players)
{
var ranking = new Ranking() { Player = player, Month = month, Year = year };
ranking.Wins = playerGameStatistics.Count(gs => gs.Player.Id == player.Id && gs.Winner);
ranking.Losses = playerGameStatistics.Count(gs => gs.Player.Id == player.Id && !gs.Winner);
ranking.WinningPercentage = Decimal.Round((decimal)ranking.Wins / (decimal)ranking.TotalGames, 3, MidpointRounding.AwayFromZero);
ranking.TotalPoints = playerGameStatistics.Where(gs => gs.Player.Id == player.Id).Sum(gs => gs.Points);
ranking.PointsPerGame = Convert.ToInt32(Decimal.Round((decimal)ranking.TotalPoints / (decimal)ranking.TotalGames, 1, MidpointRounding.AwayFromZero)); //ranking.TotalPoints / ranking.TotalGames;
ranking.Eligible = ranking.TotalGames >= eligibilityLine;
var lastTenGames = playerGameStatistics.Where(gs => gs.Player.Id == player.Id).OrderByDescending(gs => gs.Game.Date).Take(10);
ranking.LastTenWins = lastTenGames.Count(gs => gs.Player.Id == player.Id && gs.Winner);
ranking.LastTenLosses = lastTenGames.Count(gs => gs.Player.Id == player.Id && !gs.Winner);
ranking.LastTenWinningPercentage = Decimal.Round((decimal)ranking.LastTenWins / (decimal)ranking.LastTenTotalGames, 3, MidpointRounding.AwayFromZero);
if (ranking.WinningPercentage != topPlayerWinningPercentage)
{
ranking.GamesBack = Decimal.Round((Convert.ToDecimal((topPlayerWins - topPlayerLosses) - (ranking.Wins - ranking.Losses))) / 2M, 1, MidpointRounding.AwayFromZero);
}
_rankingRepository.Add(ranking);
}
//_unitOfWork.Commit();
}
