public async Task Update(ulong winner, ulong loser, bool draw)
{
var winnerRank = (await GetRank(winner))?.Rating ?? new Trueskill.TrueskillRating(_gameinfo.DefaultRating.Mean, _gameinfo.DefaultRating.StandardDeviation);
var loserRank = (await GetRank(loser))?.Rating ?? new Trueskill.TrueskillRating(_gameinfo.DefaultRating.Mean, _gameinfo.DefaultRating.StandardDeviation);
var teams = new[] {
new Dictionary <ulong, Rating> {
{ winner, new Rating(winnerRank.Mean, winnerRank.StdDev) }
},
new Dictionary <ulong, Rating> {
{ loser, new Rating(loserRank.Mean, loserRank.StdDev) }
},
};
var results = TrueSkillCalculator.CalculateNewRatings(
_gameinfo,
teams,
draw ? new[] { 0, 0 } : new[] { 0, 1 }
);
var winnerResult = results[winner];
var loserResult = results[loser];
await SetRank(winner, winnerResult.Mean, winnerResult.StandardDeviation);
await SetRank(loser, loserResult.Mean, loserResult.StandardDeviation);
}
public IDictionary <Player, Rating> GetNewRatings()
{
var redTeam = new Team <Player>();
var blueTeam = new Team <Player>();
foreach (PlayerGameStats p in playerStats)
{
if (p.Team == HqmTeam.red)
{
redTeam.AddPlayer(p.Player, new Moserware.Skills.Rating(p.RatingMean, p.RatingStandardDeviation));
}
else if (p.Team == HqmTeam.blue)
{
blueTeam.AddPlayer(p.Player, new Moserware.Skills.Rating(p.RatingMean, p.RatingStandardDeviation));
}
}
int redrank = winner == HqmTeam.red ? 1 : 2;
int bluerank = winner == HqmTeam.blue ? 1 : 2;
var newRatings = TrueSkillCalculator.CalculateNewRatings(GameInfo.DefaultGameInfo, Teams.Concat(redTeam, blueTeam), redrank, bluerank);
return(newRatings.ToDictionary(x => x.Key, x => new Rating()
{
Mean = x.Value.Mean, StandardDeviation = x.Value.StandardDeviation
}));
}
private int AdjustRatings(int kills, bool firstTeamWon, GameInfo gameInfo, IEnumerable <IDictionary <Player, Rating> > teams, string name1, string name2)
{
if (kills > 0)
{
const int team1 = 1;
const int team2 = 2;
int winner = firstTeamWon ? team1 : team2;
int loser = firstTeamWon ? team2 : team1;
string killerName = firstTeamWon ? name1 : name2;
string victimName = firstTeamWon ? name2 : name1;
var killer = GetPlayerData(killerName);
var victim = GetPlayerData(victimName);
killer.Kills++;
victim.Deaths++;
var newRatings = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, winner, loser);
foreach (var pair in newRatings)
{
string name = (string)pair.Key.Id;
var playerData = _PlayerData[name];
playerData.Rating = pair.Value;
}
kills--;
}
return(kills);
}
public async Task <IActionResult> OnPostAsync()
{
if (!ModelState.IsValid)
{
return(Page());
}
MatchPeople = MatchPeople.Where(x => x.Person.PersonName != null).ToList();
MatchPeople.ForEach(x => x.Person.PersonName = FirstCharToUpper(x.Person.PersonName));
_context.MatchPeople.AttachRange(MatchPeople);
MatchPeople.ForEach(x => x.Person.GetData(_context));
//abstract this, this is used in Leaderboard
var newSkills = TrueSkillCalculator.CalculateNewRatings(GameInfo.DefaultGameInfo, GetTeams(MatchPeople), (int)Result.Win, (int)Result.Loss);
for (int i = 0; i < MatchPeople.Count(); i++)
{
double oldRating = MatchPeople[i].Person.Rating.ConservativeRating;
MatchPeople[i].Person.Rating = newSkills[MatchPeople[i].Person];
MatchPeople[i].RatingChange = MatchPeople[i].Person.Rating.ConservativeRating - oldRating;
MatchPeople[i].Match = Match;
MatchPeople[i].MatchResult = (i % 2) + 1;
}
await _context.SaveChangesAsync();
return(RedirectToPage("./Result"));
}
private static void OneOnTwoBalancedPartialPlay()
{
// This scenario uses the "Partial Play" feature
var gameInfo = GameInfo.DefaultGameInfo;
// Player 1 is normal and just has a default rating
// This player is the only person on the first team
var p1 = new Player(1);
var team1 = new Team(p1, gameInfo.DefaultRating);
// Team 2 is much more interesting. Here we specify that
// player 2 was on the team, but played for 0% of the game
// and player 3 was on the team but played for 100% of the
// game and thus should be updated appropriately.
var p2 = new Player(2, 0.0);
var p3 = new Player(3, 1.00);
var team2 = new Team()
.AddPlayer(p2, gameInfo.DefaultRating)
.AddPlayer(p3, gameInfo.DefaultRating);
var teams = Teams.Concat(team1, team2);
var newRatings = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, 1, 2);
var matchQuality = TrueSkillCalculator.CalculateMatchQuality(gameInfo, teams);
}
private static void TwoPlayerTestNotDrawn()
{
// Here's the most simple case: you have two players and one wins
// against the other.
// Let's new up two players. Note that the argument passed into to Player
// can be anything. This allows you to wrap any object. Here I'm just
// using a simple integer to represent the player, but you could just as
// easily pass in a database entity representing a person/user or any
// other custom class you have.
var player1 = new Player(1);
var player2 = new Player(2);
// The algorithm has several parameters that can be tweaked that are
// found in the "GameInfo" class. If you're just starting out, simply
// use the defaults:
var gameInfo = GameInfo.DefaultGameInfo;
// A "Team" is a collection of "Player" objects. Here we have a team
// that consists of single players.
// Note that for each player on the team, we indicate that they have
// the "DefaultRating" which means that the algorithm has never seen
// them before. In a real implementation, you'd pull this previous
// rating for the player based on the player.Id value. It could come
// from a database.
var team1 = new Team(player1, gameInfo.DefaultRating);
var team2 = new Team(player2, gameInfo.DefaultRating);
// We bundle up all of our teams together so that we can feed them to
// the algorithm.
var teams = Teams.Concat(team1, team2);
// Before we know the actual results of the game, we can ask the
// calculator for what it perceives as the quality of the match (higher
// means more fair/equitable)
AssertMatchQuality(0.447, TrueSkillCalculator.CalculateMatchQuality(gameInfo, teams));
// This is the key line. We ask the calculator to calculate new ratings
// Pay careful attention to the numbers at the end. This indicates that
// team1 came in first place and team2 came in second place. TrueSkill
// is flexible and allows scenarios such as team1 and team2 drawing which
// could be represented as "1,1" since they both came in first place.
var newRatings = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, 1, 2);
// The result of the calculation is a dictionary mapping the players to
// their new rating. Here we get the ratings out for each player
var player1NewRating = newRatings[player1];
var player2NewRating = newRatings[player2];
// In a real implementation, you'd store these values in a persistent
// store like a database (note that you can use the player.Id to map
// the Player class to the class of your choice.
AssertRating(29.39583201999924, 7.171475587326186, player1NewRating);
AssertRating(20.60416798000076, 7.171475587326186, player2NewRating);
}
private static void TwoOnFourOnTwoWinDraw()
{
// Let's really take advantage of the algorithm by having three teams play:
// Default info is fine
var gameInfo = GameInfo.DefaultGameInfo;
// The first team:
var player1 = new Player(1);
var player2 = new Player(2);
var team1 = new Team()
.AddPlayer(player1, new Rating(40, 4))
.AddPlayer(player2, new Rating(45, 3));
// The second team:
var player3 = new Player(3);
var player4 = new Player(4);
var player5 = new Player(5);
var player6 = new Player(6);
var team2 = new Team()
.AddPlayer(player3, new Rating(20, 7))
.AddPlayer(player4, new Rating(19, 6))
.AddPlayer(player5, new Rating(30, 9))
.AddPlayer(player6, new Rating(10, 4));
var player7 = new Player(7);
var player8 = new Player(8);
// The third team:
var team3 = new Team()
.AddPlayer(player7, new Rating(50, 5))
.AddPlayer(player8, new Rating(30, 2));
// Put all three teams into one parameter:
var teams = Teams.Concat(team1, team2, team3);
// Note that we tell the calculator that there was a first place outcome of team 1, and then team 2 and 3 tied/drew
var newRatingsWinLose = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, 1, 2, 2);
// Winners
AssertRating(40.877, 3.840, newRatingsWinLose[player1]);
AssertRating(45.493, 2.934, newRatingsWinLose[player2]);
AssertRating(19.609, 6.396, newRatingsWinLose[player3]);
AssertRating(18.712, 5.625, newRatingsWinLose[player4]);
AssertRating(29.353, 7.673, newRatingsWinLose[player5]);
AssertRating(9.872, 3.891, newRatingsWinLose[player6]);
AssertRating(48.830, 4.590, newRatingsWinLose[player7]);
AssertRating(29.813, 1.976, newRatingsWinLose[player8]);
// We can even see match quality for the entire match consisting of three teams
AssertMatchQuality(0.367, TrueSkillCalculator.CalculateMatchQuality(gameInfo, teams));
}
private void SetRating(GameInfo info, Team[] teamArray, int[] rankArray)
{
var teams = Teams.Concat(teamArray);
var newRatings = TrueSkillCalculator.CalculateNewRatings(info, teams, rankArray);
foreach (var newRating in newRatings)
{
var key = playerIdToRiderIdDic[(int)newRating.Key.Id];
KyoteiTrueSkillDic[key].Rating = newRating.Value;
}
}
private static void ThreeOnTwoTests()
{
// To make things interesting, here is a team of three people playing
// a team of two people.
// Initialize the players on the first team. Remember that the argument
// passed to the Player constructor can be anything. It's strictly there
// to help you uniquely identify people.
var player1 = new Player(1);
var player2 = new Player(2);
var player3 = new Player(3);
// Note the fluent-like API where you can add players to the Team and
// specify the rating of each using their mean and standard deviation
// (for more information on these parameters, see the accompanying post
// http://www.moserware.com/2010/03/computing-your-skill.html )
var team1 = new Team()
.AddPlayer(player1, new Rating(28, 7))
.AddPlayer(player2, new Rating(27, 6))
.AddPlayer(player3, new Rating(26, 5));
// Create players for the second team
var player4 = new Player(4);
var player5 = new Player(5);
var team2 = new Team()
.AddPlayer(player4, new Rating(30, 4))
.AddPlayer(player5, new Rating(31, 3));
// The default parameters are fine
var gameInfo = GameInfo.DefaultGameInfo;
// We only have two teams, combine the teams into one parameter
var teams = Teams.Concat(team1, team2);
// Specify that the outcome was a 1st and 2nd place
var newRatingsWinLoseExpected = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, 1, 2);
// Winners
AssertRating(28.658, 6.770, newRatingsWinLoseExpected[player1]);
AssertRating(27.484, 5.856, newRatingsWinLoseExpected[player2]);
AssertRating(26.336, 4.917, newRatingsWinLoseExpected[player3]);
// Losers
AssertRating(29.785, 3.958, newRatingsWinLoseExpected[player4]);
AssertRating(30.879, 2.983, newRatingsWinLoseExpected[player5]);
// For fun, let's see what would have happened if there was an "upset" and the better players lost
var newRatingsWinLoseUpset = TrueSkillCalculator.CalculateNewRatings(gameInfo, Teams.Concat(team1, team2), 2, 1);
// Winners
AssertRating(32.012, 3.877, newRatingsWinLoseUpset[player4]);
AssertRating(32.132, 2.949, newRatingsWinLoseUpset[player5]);
// Losers
AssertRating(21.840, 6.314, newRatingsWinLoseUpset[player1]);
AssertRating(22.474, 5.575, newRatingsWinLoseUpset[player2]);
AssertRating(22.857, 4.757, newRatingsWinLoseUpset[player3]);
// Note that we could have predicted this wasn't a very balanced game ahead of time because
// it had low match quality.
AssertMatchQuality(0.254, TrueSkillCalculator.CalculateMatchQuality(gameInfo, teams));
}
private void UpdateTrueSkill(int player1_position, int player2_position)
{
// setup teams with updated ratings
var _team1 = new Team(_player1, _rating1);
var _team2 = new Team(_player2, _rating2);
var _teams = Teams.Concat(_team1, _team2);
// update the ratings
_rating = TrueSkillCalculator.CalculateNewRatings(_gameInfo, _teams, player1_position, player2_position);
_rating1 = _rating [_player1];
_rating2 = _rating [_player2];
_match_quality = TrueSkillCalculator.CalculateMatchQuality(_gameInfo, _teams);
}
public static MMgame RateGame(List <MMplayer> t1, List <MMplayer> t2)
{
int i = 0;
var team1 = new Team();
var team2 = new Team();
foreach (var pl in t1)
{
team1.AddPlayer(new Player(i), new Rating(pl.MU, pl.SIGMA));
pl.Games++;
i++;
}
foreach (var pl in t2)
{
team2.AddPlayer(new Player(i), new Rating(pl.MU, pl.SIGMA));
pl.Games++;
i++;
}
var gameInfo = GameInfo.DefaultGameInfo;
var teams = Teams.Concat(team1, team2);
var newRatingsWinLoseExpected = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, 1, 2);
MMgame game = new MMgame();
i = 0;
foreach (var pl in team1.AsDictionary().Keys)
{
var res = newRatingsWinLoseExpected[pl];
t1[i].EXP = res.ConservativeRating;
t1[i].MU = res.Mean;
t1[i].SIGMA = res.StandardDeviation;
game.Team1.Add(new BasePlayer(t1[i]));
i++;
}
i = 0;
foreach (var pl in team2.AsDictionary().Keys)
{
var res = newRatingsWinLoseExpected[pl];
t2[i].EXP = res.ConservativeRating;
t2[i].MU = res.Mean;
t2[i].SIGMA = res.StandardDeviation;
game.Team2.Add(new BasePlayer(t2[i]));
i++;
}
return(game);
}
public override bool Call(string[] arguments)
{
if (arguments.Length != 1)
{
return(false);
}
TeamColor?color = TeamColorExtensions.FromString(arguments[0]);
if (!color.HasValue)
{
Console.WriteLine("Color not found");
return(false);
}
IDictionary <Player, Rating> newRating = TrueSkillCalculator.CalculateNewRatings(
GameInfo.DefaultGameInfo,
Matchmaker.Logic.Teams.ConvertToMoserware(),
color.Value is TeamColor.Blue ? 1 : 2,
color.Value is TeamColor.Red ? 1 : 2);
using (Context context = new Context())
{
foreach (KeyValuePair <Player, Rating> player in newRating)
{
Participant participant = context.Participants.Find(player.Key.Id);
if (participant == null)
{
Console.WriteLine($"Failed to find player {player.Key.Id.ToString()}");
continue;
}
participant.Mean = player.Value.Mean;
participant.StandardDeviation = player.Value.StandardDeviation;
participant.Rating = player.Value.ConservativeRating;
}
context.SaveChanges();
}
Console.WriteLine("Updated rating for all players");
return(true);
}
public IActionResult Update(Match match)
{
// Lookup Gameinfo
var game = _gameService.Get(match.GameId);
if (game == null)
{
return(NotFound());
}
GameInfo gameInfo = new GameInfo(game.InitialMean, game.InitialStd, game.Beta, game.DynamicsFactor, game.DrawProbability);
Dictionary <string, APIPlayer> apiPlayers = new Dictionary <string, APIPlayer>();
List <Team> moserTeams = new List <Team>();
List <int> moserTeamRanks = new List <int>();
match.Teams.ForEach(apiteam => {
var moserTeam = new Team();
apiteam.Players.ForEach(playerId => {
var apiplayer = _playerService.Get(playerId);
apiPlayers.Add(playerId, apiplayer);
moserTeam.AddPlayer(new Player(apiplayer.Id), new Rating(apiplayer.Rating.Mean, apiplayer.Rating.Std));
});
moserTeams.Add(moserTeam);
moserTeamRanks.Add(apiteam.MatchRank);
});
var teams = Teams.Concat(moserTeams.ToArray());
var newRatings = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, moserTeamRanks.ToArray());
foreach (KeyValuePair <Player, Rating> newRating in newRatings)
{
APIPlayer player;
apiPlayers.TryGetValue(newRating.Key.Id.ToString(), out player);
player.Rating = new APIRating {
Mean = newRating.Value.Mean,
Std = newRating.Value.StandardDeviation,
Multiplier = newRating.Value.ConservativeRating
};
_playerService.Update(player.Id, player);
}
return(NoContent());
}
public async Task ApplyChallengeResults(ulong challengeId)
{
// Convert all solutions for the current challenge into a set of relevant data
var teamRanks = await _solutions.GetSolutions(challengeId, uint.MaxValue)
.AsAsyncEnumerable()
.OrderBy(a => a.Rank)
.SelectAwait(async a => new {
player = a.Solution.UserId,
rank = a.Rank,
rating = Convert(await GetOrAddRating(a.Solution.UserId)),
})
.Select(a => new {
team = new Dictionary <ulong, Rating> {
{ a.player, a.rating }
},
a.rank
}).ToArrayAsync();
// Trueskill can't be applied if there were less than 2 entrants
if (teamRanks.Length > 1)
{
// Extract the data out of that into separate collections
var teams = teamRanks.Select(a => a.team).ToArray();
var ranks = teamRanks.Select(a => (int)a.rank).ToArray();
// Calculate trueskill ratings
var results = TrueSkillCalculator.CalculateNewRatings(
GameInfo.DefaultGameInfo,
teams,
ranks
);
// Update database with new ratings
foreach (var(key, rating) in results)
{
await _ratings.SetRating(key, rating.Mean, rating.StandardDeviation);
}
}
// Decay rank of all players who did not participate in this challenge
await _ratings.Decay(4);
}
public async Task <IActionResult> PutPlayerInt([FromBody] TeamListModel TeamList)
{
if (!ModelState.IsValid)
{
return(BadRequest(ModelState));
}
var gameInfo = GameInfo.DefaultGameInfo;
List <Team> teamList = new List <Team>();
List <int> positions = new List <int>();
foreach (ResultTeam team in TeamList.TeamList)
{
var team1 = new Team();
foreach (string ID in team.PlayerIds)
{
var player = await _context.Player.Include(e => e.Rating)
.FirstOrDefaultAsync(e => e.PlayfabId == ID);
team1.AddPlayer(player, player.Rating);
}
teamList.Add(team1);
positions.Add(team.Place);
}
var teams = Teams.Concat(teamList.ToArray());
var newRatings = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, positions);
foreach (KeyValuePair <Player, Rating> item in newRatings)
{
item.Key.Rating = item.Value;
_context.Entry(item.Key).State = EntityState.Modified;
}
try
{
await _context.SaveChangesAsync();
}
catch (DbUpdateConcurrencyException)
{
return(NotFound());
}
return(Ok(newRatings));
}
public static async Task <MMgame> GenMatch(List <MMplayer> qplayers, int size)
{
List <MMplayer> result = new List <MMplayer>();
int c = 0;
List <MMplayer> players = new List <MMplayer>();
players = qplayers.Where(x => x.Game == null).ToList();
if (players.Count < size)
{
return(null);
}
double bestquality = 0;
return(await Task.Run(() => {
while (true)
{
c++;
int i = 0;
var team1 = new Team();
var team2 = new Team();
var rnd = new Random();
List <MMplayer> thisresult = new List <MMplayer>(players.Select(x => new { value = x, order = rnd.Next() })
.OrderBy(x => x.order).Select(x => x.value).Take(size).ToList());
foreach (var pl in thisresult)
{
if (i < result.Count() / 2)
{
team1.AddPlayer(new Player(i), new Rating(pl.MU, pl.SIGMA));
}
else
{
team2.AddPlayer(new Player(i), new Rating(pl.MU, pl.SIGMA));
}
i++;
}
var gameInfo = GameInfo.DefaultGameInfo;
var teams = Teams.Concat(team1, team2);
double thisquality = TrueSkillCalculator.CalculateMatchQuality(gameInfo, teams);
if (thisquality > bestquality)
{
bestquality = thisquality;
result = new List <MMplayer>(thisresult);
}
if (c > 10 && bestquality > 0.5)
{
break;
}
if (c > 50 && bestquality > 0.4)
{
break;
}
if (c > 200)
{
break;
}
}
MMgame game = new MMgame();
game.Quality = bestquality;
game.ID = 1;
int j = 0;
foreach (var pl in result)
{
if (j < result.Count() / 2)
{
game.Team1.Add(new BasePlayer(pl));
}
else
{
game.Team2.Add(new BasePlayer(pl));
}
j++;
}
return game;
}));
}
public void Play(ColdBot.Models.Magic.Command command, String channel)
{
var teams = new List <Team>();
var decks = command.Decks;
var gameMode = command.GameMode;
var ratings = getRatings(decks, gameMode, channel);
int playersPerTeam = command.GameMode.ShortName.Equals("ffa") ? 1 : 2;
if (ratings == null)
{
slackService.SendMessage("Rating were not properly fetched. The game was not recorded.", channel);
return;
}
if (decks.Count % playersPerTeam != 0)
{
slackService.SendMessage("Actual numbers players are not divisible by players per team. The game was not recorded.", channel);
return;
}
var playersWithRating = new List <Tuple <Player, Rating> >();
// Player names and their rating from the database to TrueSkill objects
for (int i = 0; i < decks.Count; i++)
{
var player = new Player(decks[i].Player.Name);
var rating = new Rating(ratings[i].Mean, ratings[i].StandardDeviation);
playersWithRating.Add((new Tuple <Player, Rating>(player, rating)));
}
// Divide players to teams
while (playersWithRating.Count > 0)
{
var playersInTeam = new List <Tuple <Player, Rating> >();
for (int i = 0; i < playersPerTeam; i++)
{
playersInTeam.Add(new Tuple <Player, Rating>(playersWithRating[0].Item1, playersWithRating[0].Item2));
playersWithRating.RemoveAt(0);
}
var team = new Team();
foreach (var player in playersInTeam)
{
team.AddPlayer(player.Item1, player.Item2);
}
teams.Add(team);
}
// Calculate new rating
var newRatings = TrueSkillCalculator.CalculateNewRatings(GameInfo.DefaultGameInfo, Teams.Concat(teams.ToArray()), generateRanking(teams.Count).ToArray());
// For each new rating match with fetched ratings and update values in DB
foreach (var playerWithRating in newRatings)
{
var rating = ratings
.Where(x => x.Player.Name.ToLower().Equals(playerWithRating.Key.Id.ToString().ToLower()))
.Where(x => x.GameMode.Equals(gameMode))
.FirstOrDefault();
rating.Mean = playerWithRating.Value.Mean;
rating.StandardDeviation = playerWithRating.Value.StandardDeviation;
rating.ConservativeRating = playerWithRating.Value.ConservativeRating;
}
context.SaveChanges();
}
/// <summary>
/// Gets players that are most suited for competition (would provide as close as possible to an even match). Both @candidates and @target need to have the TSCharacterComponent attached.
/// </summary>
/// <param name="candidates">the possible candidates to match against</param>
/// <param name="target">the player for whom we wish to find matches</param>
/// <returns>a list of character IDs in order of </returns>
public static List <SkillMatchInfo> GetTopQualityMatches(IEnumerable <ICharacterInfo> candidates, ICharacterInfo target, int maxResults)
{
DateTime start = DateTime.UtcNow;
List <SkillMatchInfo> matches = new List <SkillMatchInfo>();
try
{
GameInfo gi = GameInfo.DefaultGameInfo;
Player targetPlayer = new Player(target.ID);
double targetMu = target.Properties.GetDoubleProperty((int)TSPropertyID.RatingMean).GetValueOrDefault();
double targetSigma = target.Properties.GetDoubleProperty((int)TSPropertyID.RatingStandardDeviation).GetValueOrDefault();
Rating targetRating = new Rating(targetMu, targetSigma);
Team targetTeam = new Team(targetPlayer, targetRating);
int numCandidates = 0;
IEnumerator <ICharacterInfo> enu = candidates.GetEnumerator();
while (enu.MoveNext())
{
numCandidates++;
Player player = new Player(enu.Current.ID);
double mu = enu.Current.Properties.GetDoubleProperty((int)TSPropertyID.RatingMean).GetValueOrDefault();
double sigma = enu.Current.Properties.GetDoubleProperty((int)TSPropertyID.RatingStandardDeviation).GetValueOrDefault();
Rating rating = new Rating(mu, sigma);
Team team = new Team(player, rating);
double quality = TrueSkillCalculator.CalculateMatchQuality(gi, Teams.Concat(targetTeam, team));
matches.Add(new SkillMatchInfo(enu.Current.ID, quality));
}
// Sort it
matches.OrderBy(i => i.MatchQuality);
// trim it, if necessary
if (maxResults > 0)
{
if (maxResults > matches.Count)
{
maxResults = matches.Count;
}
matches = matches.GetRange(0, maxResults - 1);
}
DateTime end = DateTime.UtcNow;
TimeSpan exeTime = end - start;
int highestQuality = 0;
if (matches.Count > 0)
{
highestQuality = (int)Math.Floor(matches[0].MatchQuality * 100);
}
Log.LogMsg("TrueSkill match maker tested [" + numCandidates + "] candidates for character [" + target.CharacterName + " | " + target.ID + "]. Returned [" + matches.Count + "] possible matches in [" + exeTime.TotalMilliseconds + " ms]. Best match found had a [" + highestQuality + "%] quality rating.");
}
catch (Exception e)
{
Log.LogMsg("TrueSkill match maker encountered an error when searching for match candidates. " + e.Message);
}
return(matches);
}
public void UpdateMetrics(Models.Team Team1, Models.Team Team2, int Score1, int Score2)
{
using (var dbContext = new Foostats2.Models.FoostatsContext()){
Team1 = dbContext.Teams.Include(x => x.Player1).Include(x => x.Player2).SingleOrDefault(x => x.Id == Team1.Id);
Team2 = dbContext.Teams.Include(x => x.Player1).Include(x => x.Player2).SingleOrDefault(x => x.Id == Team2.Id); // reload
var gameInfo = GameInfo.DefaultGameInfo;
var t1p1Trueskill = dbContext.Trueskill.
Include(x => x.Player).
FirstOrDefault(x => x.Player.Id == Team1.Player1.Id);
var t1p2Trueskill = Team1.Player2 == null ? null :
dbContext.Trueskill.
Include(x => x.Player).
FirstOrDefault(x => x.Player.Id == Team1.Player2.Id);
var t2p1Trueskill = dbContext.Trueskill.
Include(x => x.Player).
FirstOrDefault(x => x.Player.Id == Team2.Player1.Id);
var t2p2Trueskill = Team2.Player2 == null ? null :
dbContext.Trueskill.
Include(x => x.Player).
FirstOrDefault(x => x.Player.Id == Team2.Player2.Id);
Rating t1p1, t1p2, t2p1, t2p2;
t1p1 = t1p1Trueskill != null ? new Rating(t1p1Trueskill.Mean, t1p1Trueskill.StandardDeviation) : gameInfo.DefaultRating;
t1p2 = t1p2Trueskill != null ? new Rating(t1p2Trueskill.Mean, t1p2Trueskill.StandardDeviation) : gameInfo.DefaultRating;
t2p1 = t2p1Trueskill != null ? new Rating(t2p1Trueskill.Mean, t2p1Trueskill.StandardDeviation) : gameInfo.DefaultRating;
t2p2 = t2p2Trueskill != null ? new Rating(t2p2Trueskill.Mean, t2p2Trueskill.StandardDeviation) : gameInfo.DefaultRating;
var team1player1 = new Player(Team1.Player1.Id);
var team1player2 = Team1.Player2 == null ? null : new Player(Team1.Player2.Id);
var team2player1 = new Player(Team2.Player1.Id);
var team2player2 = Team2.Player2 == null ? null : new Player(Team2.Player2.Id);
var team1 = new Team();
team1.AddPlayer(team1player1, t1p1);
if (team1player2 != null)
{
team1.AddPlayer(team1player2, t1p2);
}
var team2 = new Team();
team2.AddPlayer(team2player1, t2p1);
if (team2player2 != null)
{
team2.AddPlayer(team2player2, t2p2);
}
var teams = Teams.Concat(team1, team2);
var team1Place = Score1 >= Score2 ? 1 : 2;
var team2Place = Score2 >= Score1 ? 1 : 2;
var newRatings = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, team1Place, team2Place);
var team1player1NewRating = newRatings[team1player1];
Rating team1player2NewRating = team1player2 == null ? null : newRatings[team1player2];
var team2player1NewRating = newRatings[team2player1];
Rating team2player2NewRating = team2player2 == null ? null : newRatings[team2player2];
if (t1p1Trueskill != null)
{
t1p1Trueskill.Mean = team1player1NewRating.Mean;
t1p1Trueskill.StandardDeviation = team1player1NewRating.StandardDeviation;
t1p1Trueskill.ConservativeRating = team1player1NewRating.ConservativeRating;
}
else
{
dbContext.Trueskill.Add(new Models.Trueskill()
{
Player = Team1.Player1,
Mean = team1player1NewRating.Mean,
StandardDeviation = team1player1NewRating.StandardDeviation,
ConservativeRating = team1player1NewRating.ConservativeRating
});
}
if (team1player2 != null)
{
if (t1p2Trueskill != null)
{
t1p2Trueskill.Mean = team1player2NewRating.Mean;
t1p2Trueskill.StandardDeviation = team1player2NewRating.StandardDeviation;
t1p2Trueskill.ConservativeRating = team1player2NewRating.ConservativeRating;
}
else
{
dbContext.Trueskill.Add(new Models.Trueskill()
{
Player = Team1.Player2,
Mean = team1player2NewRating.Mean,
StandardDeviation = team1player2NewRating.StandardDeviation,
ConservativeRating = team1player2NewRating.ConservativeRating
});
}
}
if (t2p1Trueskill != null)
{
t2p1Trueskill.Mean = team2player1NewRating.Mean;
t2p1Trueskill.StandardDeviation = team2player1NewRating.StandardDeviation;
t2p1Trueskill.ConservativeRating = team2player1NewRating.ConservativeRating;
}
else
{
dbContext.Trueskill.Add(new Models.Trueskill()
{
Player = Team2.Player1,
Mean = team2player1NewRating.Mean,
StandardDeviation = team2player1NewRating.StandardDeviation,
ConservativeRating = team2player1NewRating.ConservativeRating
});
}
if (team2player2 != null)
{
if (t2p2Trueskill != null)
{
t2p2Trueskill.Mean = team2player2NewRating.Mean;
t2p2Trueskill.StandardDeviation = team2player2NewRating.StandardDeviation;
t2p2Trueskill.ConservativeRating = team2player2NewRating.ConservativeRating;
}
else
{
dbContext.Trueskill.Add(new Models.Trueskill()
{
Player = Team2.Player2,
Mean = team2player2NewRating.Mean,
StandardDeviation = team2player2NewRating.StandardDeviation,
ConservativeRating = team2player2NewRating.ConservativeRating
});
}
}
dbContext.SaveChanges();
}
}
public static void recalcMatches(List <Person> playerList, List <Match> matchList, Double startMu, Double startSigma, Double multiplier, UInt16 decay, UInt32 decayValue, DateTime lastDate, ProgressBar progress)
{
lastDate += new TimeSpan(23, 59, 59);
Dictionary <String, Person> playerMap = new Dictionary <string, Person>();
DateTime latestMatch = DateTime.MinValue;
int matchTotal = matchList.Count;
int counted = 0;
if (progress != null)
{
progress.Value = 0;
progress.Refresh();
}
foreach (Person person in playerList)
{
person.Mu = startMu;
person.Sigma = startSigma;
person.Wins = 0;
person.Losses = 0;
person.Draws = 0;
person.Multiplier = multiplier;
person.DecayDays = 0;
person.DecayMonths = 0;
playerMap.Add(person.Name, person);
}
foreach (Match match in matchList)
{
if (progress != null)
{
counted++;
progress.Value = (counted * 100) / matchTotal;
progress.PerformStep();
}
if (match.Timestamp <= lastDate)
{
Person p1 = playerMap[match.Player1];
Person p2 = playerMap[match.Player2];
if (decay > 0)
{
uint i = 0;
if (decay < 3)
{
while (p1.LastMatch.AddDays(i).CompareTo(match.Timestamp) < 0)
{
i++;
}
p1.DecayDays += i;
i = 0;
while (p2.LastMatch.AddDays(i).CompareTo(match.Timestamp) < 0)
{
i++;
}
p2.DecayDays += i;
}
else
{
i = 0;
while (p1.LastMatch.AddMonths((int)i).CompareTo(match.Timestamp) < 0)
{
i++;
}
p1.DecayMonths += i;
i = 0;
while (p2.LastMatch.AddMonths((int)i).CompareTo(match.Timestamp) < 0)
{
i++;
}
p2.DecayMonths += i;
}
switch (decay)
{
case 1:
while (p1.DecayDays > decayValue - 1)
{
p1.decayScore(startSigma);
p1.DecayDays -= decayValue;
}
while (p2.DecayDays > decayValue - 1)
{
p2.decayScore(startSigma);
p2.DecayDays -= decayValue;
}
break;
case 2:
while (p1.DecayDays > (7 * decayValue) - 1)
{
p1.decayScore(startSigma);
p1.DecayDays -= 7 * decayValue;
}
while (p2.DecayDays > (7 * decayValue) - 1)
{
p2.decayScore(startSigma);
p2.DecayDays -= 7 * decayValue;
}
break;
case 3:
while (p1.DecayMonths > decayValue - 1)
{
p1.decayScore(startSigma);
p1.DecayMonths -= decayValue;
}
while (p2.DecayMonths > decayValue - 1)
{
p2.decayScore(startSigma);
p2.DecayMonths -= decayValue;
}
break;
case 4:
while (p1.DecayMonths > (12 * decayValue) - 1)
{
p1.decayScore(startSigma);
p1.DecayMonths -= 12 * decayValue;
}
while (p2.DecayMonths > (12 * decayValue) - 1)
{
p2.decayScore(startSigma);
p2.DecayMonths -= 12 * decayValue;
}
break;
}
}
match.P1Score = p1.Score;
match.P2Score = p2.Score;
Player p1s = new Player(1);
Player p2s = new Player(2);
Rating p1r = new Rating(p1.Mu, p1.Sigma);
Rating p2r = new Rating(p2.Mu, p2.Sigma);
Team t1 = new Team(p1s, p1r);
Team t2 = new Team(p2s, p2r);
IDictionary <Player, Rating> newRatings = null;
if (match.Winner == 0)
{
newRatings = TrueSkillCalculator.CalculateNewRatings(GameInfo.DefaultGameInfo, Teams.Concat(t1, t2), 1, 1);
}
else if (match.Winner == 1)
{
newRatings = TrueSkillCalculator.CalculateNewRatings(GameInfo.DefaultGameInfo, Teams.Concat(t1, t2), 1, 2);
}
else if (match.Winner == 2)
{
newRatings = TrueSkillCalculator.CalculateNewRatings(GameInfo.DefaultGameInfo, Teams.Concat(t1, t2), 2, 1);
}
p1.Mu = newRatings[p1s].Mean;
p1.Sigma = newRatings[p1s].StandardDeviation;
p2.Mu = newRatings[p2s].Mean;
p2.Sigma = newRatings[p2s].StandardDeviation;
match.P1Score2 = p1.Score;
match.P2Score2 = p2.Score;
p1.LastMatch = match.Timestamp;
p2.LastMatch = match.Timestamp;
if (latestMatch < match.Timestamp)
{
latestMatch = match.Timestamp;
}
if (match.Winner == 0)
{
p1.Draws++;
p2.Draws++;
}
else if (match.Winner == 1)
{
p1.Wins++;
p2.Losses++;
}
else if (match.Winner == 2)
{
p1.Losses++;
p2.Wins++;
}
}
else
{
break;
}
}
foreach (Person p in playerList)
{
if (decay > 0)
{
uint i = 0;
while (p.LastMatch.AddDays(i).CompareTo(latestMatch) < 0)
{
i++;
}
p.DecayDays += i;
i = 0;
while (p.LastMatch.AddMonths((int)i).CompareTo(latestMatch) < 0)
{
i++;
}
p.DecayMonths += i;
switch (decay)
{
case 1:
while (p.DecayDays > 0)
{
p.decayScore(startSigma);
p.DecayDays--;
}
break;
case 2:
while (p.DecayDays > 6)
{
p.decayScore(startSigma);
p.DecayDays -= 7;
}
break;
case 3:
while (p.DecayMonths > 0)
{
p.decayScore(startSigma);
p.DecayMonths--;
}
break;
case 4:
while (p.DecayMonths > 11)
{
p.decayScore(startSigma);
p.DecayMonths -= 12;
}
break;
}
}
}
}
public static double GetRatingFor(List <Participant> redPlayers, List <Participant> bluePlayers)
{
return(TrueSkillCalculator.CalculateMatchQuality(
GameInfo.DefaultGameInfo,
ConvertToMoserware(bluePlayers, redPlayers)));
}
public static double GetRatingFor(IEnumerable <IDictionary <Player, Rating> > teams)
{
return(TrueSkillCalculator.CalculateMatchQuality(
GameInfo.DefaultGameInfo,
teams));
}
public static void recalcMatches(List <Person> playerList, List <Match> matchList, Double startMu, Double startSigma, Double multiplier, UInt16 decay, UInt32 decayValue, DateTime lastDate, ProgressBar progress)
{
lastDate += new TimeSpan(23, 59, 59);
Dictionary <String, Person> playerMap = new Dictionary <string, Person>();
DateTime latestMatch = DateTime.MinValue;
int matchTotal = matchList.Count;
int counted = 0;
if (progress != null)
{
progress.Value = 0;
progress.Refresh();
}
foreach (Person person in playerList)
{
person.Mu = startMu;
person.Sigma = startSigma;
person.Wins = 0;
person.Losses = 0;
person.Draws = 0;
person.Multiplier = multiplier;
person.DecayDays = 0;
person.DecayMonths = 0;
playerMap.Add(person.Name, person);
}
foreach (Match match in matchList)
{
if (progress != null)
{
counted++;
progress.Value = (counted * 100) / matchTotal;
progress.PerformStep();
}
if (match.Timestamp <= lastDate)
{
Person p1 = playerMap[match.Player1];
Person p2 = playerMap[match.Player2];
//Explained on line 177
p1.DecayDays = 0;
p2.DecayDays = 0;
p1.DecayMonths = 0;
p2.DecayMonths = 0;
if (decay > 0)
{
uint i = 0;
if (decay < 3)
{
while (p1.LastMatch.AddDays(i).CompareTo(match.Timestamp) < 0)
{
i++;
}
p1.DecayDays += i;
i = 0;
while (p2.LastMatch.AddDays(i).CompareTo(match.Timestamp) < 0)
{
i++;
}
p2.DecayDays += i;
}
else
{
i = 0;
while (p1.LastMatch.AddMonths((int)i).CompareTo(match.Timestamp) < 0)
{
i++;
}
p1.DecayMonths += i;
i = 0;
while (p2.LastMatch.AddMonths((int)i).CompareTo(match.Timestamp) < 0)
{
i++;
}
p2.DecayMonths += i;
}
switch (decay)
{
case 1:
while (p1.DecayDays > decayValue - 1)
{
p1.decayScore(startSigma);
p1.DecayDays -= decayValue;
}
while (p2.DecayDays > decayValue - 1)
{
p2.decayScore(startSigma);
p2.DecayDays -= decayValue;
}
break;
case 2:
while (p1.DecayDays > (7 * decayValue) - 1)
{
p1.decayScore(startSigma);
p1.DecayDays -= 7 * decayValue;
}
while (p2.DecayDays > (7 * decayValue) - 1)
{
p2.decayScore(startSigma);
p2.DecayDays -= 7 * decayValue;
}
break;
case 3:
while (p1.DecayMonths > decayValue - 1)
{
p1.decayScore(startSigma);
p1.DecayMonths -= decayValue;
}
while (p2.DecayMonths > decayValue - 1)
{
p2.decayScore(startSigma);
p2.DecayMonths -= decayValue;
}
break;
case 4:
while (p1.DecayMonths > (12 * decayValue) - 1)
{
p1.decayScore(startSigma);
p1.DecayMonths -= 12 * decayValue;
}
while (p2.DecayMonths > (12 * decayValue) - 1)
{
p2.decayScore(startSigma);
p2.DecayMonths -= 12 * decayValue;
}
break;
}
}
/*
* Correction to v1.0.1.6:
* While decayDays/Months can be removed if they exceed the decayInterval,
* if they do not they remain in the players cummulative decayDays/Months.
* This means that players that would ordinarily not receive decay would.
*
* Ex. 6 Days between Matches with a week decayInterval.
* Day 0 | Match 1 : No decayDays; No decay
* DecayDays for player: 0
* Day 6 | Match 2 : +6 decayDays; 6 > 7 days for week interval? No; No decay
* DecayDays for player: 6
* Day 12 | Match 3 : +6 decayDays; 12 > 7? Yes; unexpected decay
* DecayDays for player: 5
*
* To correct this after each player is selected from the match they will have
* the decayDays/Months reset on line 85 and 246.
*/
match.P1Score = p1.Score;
match.P2Score = p2.Score;
Player p1s = new Player(1);
Player p2s = new Player(2);
Rating p1r = new Rating(p1.Mu, p1.Sigma);
Rating p2r = new Rating(p2.Mu, p2.Sigma);
Team t1 = new Team(p1s, p1r);
Team t2 = new Team(p2s, p2r);
IDictionary <Player, Rating> newRatings = null;
if (match.Winner == 0)
{
newRatings = TrueSkillCalculator.CalculateNewRatings(GameInfo.DefaultGameInfo, Teams.Concat(t1, t2), 1, 1);
}
else if (match.Winner == 1)
{
newRatings = TrueSkillCalculator.CalculateNewRatings(GameInfo.DefaultGameInfo, Teams.Concat(t1, t2), 1, 2);
}
else if (match.Winner == 2)
{
newRatings = TrueSkillCalculator.CalculateNewRatings(GameInfo.DefaultGameInfo, Teams.Concat(t1, t2), 2, 1);
}
p1.Mu = newRatings[p1s].Mean;
p1.Sigma = newRatings[p1s].StandardDeviation;
p2.Mu = newRatings[p2s].Mean;
p2.Sigma = newRatings[p2s].StandardDeviation;
match.P1Score2 = p1.Score;
match.P2Score2 = p2.Score;
p1.LastMatch = match.Timestamp;
p2.LastMatch = match.Timestamp;
if (latestMatch < match.Timestamp)
{
latestMatch = match.Timestamp;
}
if (match.Winner == 0)
{
p1.Draws++;
p2.Draws++;
}
else if (match.Winner == 1)
{
p1.Wins++;
p2.Losses++;
}
else if (match.Winner == 2)
{
p1.Losses++;
p2.Wins++;
}
}
else
{
break;
}
}
foreach (Person p in playerList)
{
//Explained on line 177
p.DecayDays = 0;
p.DecayMonths = 0;
if (decay > 0)
{
uint i = 0;
while (p.LastMatch.AddDays(i).CompareTo(latestMatch) < 0)
{
i++;
}
p.DecayDays += i;
i = 0;
while (p.LastMatch.AddMonths((int)i).CompareTo(latestMatch) < 0)
{
i++;
}
p.DecayMonths += i;
switch (decay)
{
/*
* Correction to v1.0.1.6:
* To correct 7 days and 1 week decayIntervals not yielding the same score,
* it was found that the final player score adjustment did not take into
* account the decayValue like in the match-to-match decay. This was added.
*/
case 1:
while (p.DecayDays > decayValue - 1)
{
p.decayScore(startSigma);
p.DecayDays -= decayValue;
}
break;
case 2:
while (p.DecayDays > (7 * decayValue) - 1)
{
p.decayScore(startSigma);
p.DecayDays -= 7 * decayValue;
}
break;
case 3:
while (p.DecayMonths > decayValue - 1)
{
p.decayScore(startSigma);
p.DecayMonths -= decayValue;
}
break;
case 4:
while (p.DecayMonths > (12 * decayValue) - 1)
{
p.decayScore(startSigma);
p.DecayMonths -= 12 * decayValue;
}
break;
}
}
}
}
public static MMgameNG RateGame(Team team1, Team team2, string lobby, StartUp _mm, bool cmdr = false)
{
var gameInfo = GameInfo.DefaultGameInfo;
var teams = Teams.Concat(team1, team2);
var newRatingsWinLoseExpected = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, 1, 2);
MMgameNG game = new MMgameNG();
game.Lobby = lobby;
int i = 0;
foreach (var pl in team1.AsDictionary().Keys)
{
var res = newRatingsWinLoseExpected[pl];
string name = pl.Id.ToString();
MMplayerNG mpl = new MMplayerNG();
MMPlRating plrat = new MMPlRating();
if (_mm.MMplayers.ContainsKey(name))
{
mpl = _mm.MMplayers[name];
plrat = mpl.Rating[lobby].LastOrDefault().ShallowCopy();
plrat.Db = false;
}
else
{
mpl.Name = "Dummy" + i;
}
if (cmdr == true)
{
mpl = _mm.MMraces[name];
plrat = mpl.Rating[lobby].LastOrDefault().ShallowCopy();
plrat.Db = false;
}
double temp = plrat.EXP;
plrat.EXP = res.ConservativeRating;
mpl.ExpChange = plrat.EXP - temp;
plrat.MU = res.Mean;
plrat.SIGMA = res.StandardDeviation;
plrat.Games++;
plrat.Time = DateTime.UtcNow;
mpl.Rating[lobby].Add(plrat);
game.Team1.Add(mpl);
i++;
}
foreach (var pl in team2.AsDictionary().Keys)
{
var res = newRatingsWinLoseExpected[pl];
string name = pl.Id.ToString();
MMplayerNG mpl = new MMplayerNG();
MMPlRating plrat = new MMPlRating();
if (_mm.MMplayers.ContainsKey(name))
{
mpl = _mm.MMplayers[name];
plrat = mpl.Rating[lobby].LastOrDefault().ShallowCopy();
plrat.Db = false;
}
else
{
mpl.Name = "Dummy" + i;
}
if (cmdr == true)
{
mpl = _mm.MMraces[name];
plrat = mpl.Rating[lobby].LastOrDefault().ShallowCopy();
plrat.Db = false;
}
double temp = plrat.EXP;
plrat.EXP = res.ConservativeRating;
mpl.ExpChange = plrat.EXP - temp;
plrat.MU = res.Mean;
plrat.SIGMA = res.StandardDeviation;
plrat.Games++;
plrat.Time = DateTime.UtcNow;
mpl.Rating[lobby].Add(plrat);
game.Team2.Add(mpl);
i++;
}
return(game);
}
public async Task <ReplayData> TwoPlayerTestNotDrawn(ReplayData data, string type, Dictionary <string, uint> mmrIds, Dictionary <string, string> role)
{
// The algorithm has several parameters that can be tweaked that are
// found in the "GameInfo" class. If you're just starting out, simply
// use the defaults:
var gameInfo = GameInfo.DefaultGameInfo;
// Here's the most simple case: you have two players and one wins
// against the other.
// Let's new up two players. Note that the argument passed into to Player
// can be anything. This allows you to wrap any object. Here I'm just
// using a simple integer to represent the player, but you could just as
// easily pass in a database entity representing a person/user or any
var playerRatings = new Rating[10];
for (var i = 0; i < 10; i++)
{
_playerMmRs[i] = 0;
_playerConserv[i] = 0;
playerRatings[i] = gameInfo.DefaultRating;
}
for (var i = 0; i < 10; i++)
{
_typeId = type switch
{
"player" => mmrIds["player"],
"hero" => mmrIds[data.ReplayPlayer[i].Hero],
"role" => mmrIds[role[data.ReplayPlayer[i].Hero]],
_ => _typeId
};
var masterMmrData = await _context.MasterMmrData.Where(x => x.TypeValue == _typeId &&
x.GameType.ToString() == data.GameTypeId &&
x.BlizzId == data.ReplayPlayer[i].BlizzId &&
x.Region == data.Region).ToListAsync();
var count = 0;
foreach (var mmrData in masterMmrData)
{
_playerConserv[count] = mmrData.ConservativeRating;
playerRatings[count] = new Rating(mmrData.Mean, mmrData.StandardDeviation);
count++;
}
}
_teamOneWinner = data.ReplayPlayer[0].Winner;
_teamTwoWinner = data.ReplayPlayer[9].Winner;
var players = new Player[10];
for (var i = 0; i < 10; i++)
{
players[i] = new Player(i);
}
var team1 = new Team()
.AddPlayer(players[0], playerRatings[0])
.AddPlayer(players[1], playerRatings[1])
.AddPlayer(players[2], playerRatings[2])
.AddPlayer(players[3], playerRatings[3])
.AddPlayer(players[4], playerRatings[4]);
var team2 = new Team()
.AddPlayer(players[5], playerRatings[5])
.AddPlayer(players[6], playerRatings[6])
.AddPlayer(players[7], playerRatings[7])
.AddPlayer(players[8], playerRatings[8])
.AddPlayer(players[9], playerRatings[9]);
// A "Team" is a collection of "Player" objects. Here we have a team
// that consists of single players.
// Note that for each player on the team, we indicate that they have
// the "DefaultRating" which means that the algorithm has never seen
// them before. In a real implementation, you'd pull this previous
// rating for the player based on the player.Id value. It could come
// from a database.
//Rating r1 = new Rating();
// We bundle up all of our teams together so that we can feed them to
// the algorithm.
var teams = Teams.Concat(team1, team2);
// Before we know the actual results of the game, we can ask the
// calculator for what it perceives as the quality of the match (higher
// means more fair/equitable)
//AssertMatchQuality(0.447, TrueSkillCalculator.CalculateMatchQuality(gameInfo, teams));
// This is the key line. We ask the calculator to calculate new ratings
// Pay careful attention to the numbers at the end. This indicates that
// team1 came in first place and team2 came in second place. TrueSkill
// is flexible and allows scenarios such as team1 and team2 drawing which
// could be represented as "1,1" since they both came in first place.
var teamOneValue = 2;
var teamTwoValue = 2;
if (_teamOneWinner)
{
teamOneValue = 1;
}
else if (_teamTwoWinner)
{
teamTwoValue = 1;
}
var newRatings = TrueSkillCalculator.CalculateNewRatings(gameInfo, teams, teamOneValue, teamTwoValue);
// The result of the calculation is a dictionary mapping the players to
// their new rating. Here we get the ratings out for each player
var playerNewRatings = new Rating[10];
for (var i = 0; i < 10; i++)
{
playerNewRatings[i] = newRatings[players[i]];
switch (type)
{
case "player":
data.ReplayPlayer[i].PlayerConservativeRating = playerNewRatings[i].ConservativeRating;
data.ReplayPlayer[i].PlayerMean = playerNewRatings[i].Mean;
data.ReplayPlayer[i].PlayerStandardDeviation = playerNewRatings[i].StandardDeviation;
break;
case "role":
data.ReplayPlayer[i].RoleConservativeRating = playerNewRatings[i].ConservativeRating;
data.ReplayPlayer[i].RoleMean = playerNewRatings[i].Mean;
data.ReplayPlayer[i].RoleStandardDeviation = playerNewRatings[i].StandardDeviation;
break;
case "hero":
data.ReplayPlayer[i].HeroConservativeRating = playerNewRatings[i].ConservativeRating;
data.ReplayPlayer[i].HeroMean = playerNewRatings[i].Mean;
data.ReplayPlayer[i].HeroStandardDeviation = playerNewRatings[i].StandardDeviation;
break;
}
}
return(data);
}
}
