[Solved]-Find max possible Total from a list of player scores across their positions-LINQ,C#

So here's where it ended up.. Might help anyone battling with the logic of picking the highest possible total across a set of numbers. So far so good, I've not seen an instance where it doesn't return the correct result.. Feel free to suggest code clean-ups / optimizations.

    private static IEnumerable<IEnumerable<T>> GetPermutations<T>(IEnumerable<T> list, int length)
    {
        return length == 1 ? list.Select(t => new[] {t}) : GetPermutations(list, length - 1).SelectMany(t => list.Where(o => !t.Contains(o)), (t1, t2) => t1.Concat(new[] {t2}));
    }

    public static List<PlayerScore> TeamOfTheWeek(List<PlayerScore> playerList)
    {
        // Remove the players who scored 0 accross the board.
        playerList.RemoveAll(player => player.Forward + player.TallForward + player.Offensive + player.Defensive + player.OnBaller + player.Ruck == 0);

        // Rank each player score within a position.
        var forwardRank = playerList.RankByDescending(p => p.Forward, (p, r) => new {Rank = r, Player = p});
        var tallForwardRank = playerList.RankByDescending(p => p.TallForward, (p, r) => new {Rank = r, Player = p});
        var offensiveRank = playerList.RankByDescending(p => p.Offensive, (p, r) => new { Rank = r, Player = p });
        var defensiveRank = playerList.RankByDescending(p => p.Defensive, (p, r) => new { Rank = r, Player = p });
        var onBallerRank = playerList.RankByDescending(p => p.Defensive, (p, r) => new { Rank = r, Player = p });
        var ruckRank = playerList.RankByDescending(p => p.Ruck, (p, r) => new { Rank = r, Player = p });

        for (int i = playerList.Count - 1; i >= 0; i--)
        {
            //var rankName = forwardRank.First(x => x.Player.PlayerName == playerList[i].PlayerName).Player.PlayerName;
            var fw = forwardRank.First(x => x.Player.PlayerName == playerList[i].PlayerName).Rank;
            var tf = tallForwardRank.First(x => x.Player.PlayerName == playerList[i].PlayerName).Rank;
            var off = offensiveRank.First(x => x.Player.PlayerName == playerList[i].PlayerName).Rank;
            var def = defensiveRank.First(x => x.Player.PlayerName == playerList[i].PlayerName).Rank;
            var ob = onBallerRank.First(x => x.Player.PlayerName == playerList[i].PlayerName).Rank;
            var ruck = ruckRank.First(x => x.Player.PlayerName == playerList[i].PlayerName).Rank;

            if (fw >= 6 && tf >= 6 && off >= 6 && def >= 6 && ob >= 6 && ruck >= 6)
            {
                // Player is outside top 6 for each position so remove, and reduce permutations.
                playerList.RemoveAt(i);
            }
        }   

        // Now update the playerId as this is used to join back to the array later.
        var playerId = 0;
        foreach (var p in playerList.OrderBy(p => p.PlayerName))
        {
            p.Id = playerId;
            playerId = playerId + 1;
        }

        // Create and fill the position scores.
        List<int[]> positionScoreArray = new List<int[]>();
        foreach (var player in playerList.OrderBy(p => p.PlayerName))
        {
            // Player scored more than 0 so add to the positionScoreArray.
            int[] playerScores = { player.Forward, player.TallForward, player.Offensive, player.Defensive, player.OnBaller, player.Ruck };
            positionScoreArray.Add(playerScores);
        }

        // Players remaining in list pulled into array, ready for processing.
        string[] playerNameArray = playerList.OrderBy(x => x.PlayerName).Select(p => p.PlayerName).ToArray();

        // Load up the actual position scores to use in Parallel.For processing.
        for (int i = 0; i < playerNameArray.Length; i++)
        {
            for (int j = 0; j < positionScoreArray.Count; j++)
            {   
                if (j == 0)
                {
                    var player = playerList.FirstOrDefault(p => p.PlayerName == playerNameArray[i]);
                    if (player != null)
                        positionScoreArray[i][j] = player.Forward;
                }
                if (j == 1)
                {
                    var player = playerList.FirstOrDefault(p => p.PlayerName == playerNameArray[i]);
                    if (player != null)
                        positionScoreArray[i][j] = player.TallForward;
                }
                if (j == 2)
                {
                    var player = playerList.FirstOrDefault(p => p.PlayerName == playerNameArray[i]);
                    if (player != null)
                        positionScoreArray[i][j] = player.Offensive;
                }
                if (j == 3)
                {
                    var player = playerList.FirstOrDefault(p => p.PlayerName == playerNameArray[i]);
                    if (player != null)
                        positionScoreArray[i][j] = player.Defensive;
                }
                if (j == 4)
                {
                    var player = playerList.FirstOrDefault(p => p.PlayerName == playerNameArray[i]);
                    if (player != null)
                        positionScoreArray[i][j] = player.OnBaller;
                }
                if (j == 5)
                {
                    var player = playerList.FirstOrDefault(p => p.PlayerName == playerNameArray[i]);
                    if (player != null)
                        positionScoreArray[i][j] = player.Ruck;
                }
            }
        }

        Stopwatch parallelForEachStopWatch = new Stopwatch();
        parallelForEachStopWatch.Start();

        var count = 0;
        var playerIds = Enumerable.Range(0, playerNameArray.Length).ToList();
        var best = new { PlayerIds = new List<int>(), TeamScore = 0 };
        var positions = new[] { "FW", "TF", "Off", "Def", "OB", "Ruck" };

        // Thread safe the Parallel.ForEach
        lock (ThreadSafeObject)
        {
            Parallel.ForEach(GetPermutations(playerIds, positions.Length), perm =>
                {
                    var teamScore = 0;
                    var players = perm.ToList();
                    for (int i = 0; i < positions.Length; i++) teamScore += positionScoreArray[players[i]][i];
                    if (teamScore > best.TeamScore) best = new {PlayerIds = players, TeamScore = teamScore};
                    if (count++%100000 == 0) Debug.WriteLine($"{count - 1:n0}");
                }
            );
        }

        parallelForEachStopWatch.Stop();
        TimeSpan parallelForEach = parallelForEachStopWatch.Elapsed;

        Debug.WriteLine($"Parallel.ForEach (secs): {parallelForEach.Seconds}");
        Debug.WriteLine($"Permutations: {count:n0}");
        Debug.WriteLine($"Team Score: {best.TeamScore}");

        // Track Parallel.ForEach result.
        var tcTotwRequest = new TelemetryClient();
        tcTotwRequest.TrackEvent($"Permutations: {count:n0} Score: {best.TeamScore} Time (sec): {parallelForEach.Seconds}");

        lock (ThreadSafeObject)
        {
            if (best.PlayerIds.Count > 0)
            {
                for (int i = 0; i < positions.Length; i++)
                {
                    // Update the playerList, marking best players with TeamOfTheWeek position.
                    var player = playerList.FirstOrDefault(p => p.Id == best.PlayerIds[i]);
                    if (player != null)
                    {
                        player.TeamOfTheWeekPosition = positions[i];
                        player.TeamOfTheWeekScore = best.TeamScore;
                    }
                }
            }
        }

        return playerList.OrderBy(p => p.PlayerName).ToList();
    }
}