Win Score: (Points + Rebounds +Steals +1/2Assists +1/2Blocks - Field Goal Attempts - Turnovers - 1/2Free Throw Attempts/48 x Minutes Played) - the average Win Score produced at the player's position.
Defensive Win Score: That is the player's Counterpart Opponent's Win Score. In other words, the average Win Score produced by the guys the player was assigned to cover. The theory being: if the accumulation of Win Score statisitics correlates with wins, it follows that the prevention of the accumulation of Win Score statistics is the essence of defense. Note: Since this statistic is taken from the opponent's vantage point, "+" is bad because that means the opponent was above average.
Defensive Half Wins: That is the numerical expression of the number of wins the player created for his team by preventing his opponents from accumulating Win Score statistics, using the shorthand formula developed by the authors of "The Wages of Wins". Because the game of basketball involves both offense and defense, wins produced on either side of the court have only a one-half value.
Defensive Win Contribution: This is an expression of the impact the player's Defensive Win Score had on the team's success. It is calculated as: (Defensive Win Score * %pt). Thus it is a function of how the player did versus the average, and how much playing time he consumed. The theory being: The more playing time you consume, the greater the impact of your performance. A slightly negative performance by a player who consumes a great deal of playing time will have a much larger impact on the team's success than the same slightly negative performance by a player who only consumes a small amount of playing time. The average NBA player's Win Contribution over any period of playing time is expressed as +0.000. The further you get above or below that number, the better or worse the player's contribution. +1.000 is a spectacular Win Contribution, and the opposite is true of -1.000.
Offensive Win Score: The player's Win Score production above or below the average Win Score production at the mix of positions he plays.
Offensive Half Wins: The same as Defensive Half Wins, only these are based on the player's production of Win Score statistics above the average at his mix of positions, whereas Defensive Half Wins are the player's prevention of Win Score statistics above the average at his mix of positions.
Offensive Win Contribution: Same as Defensive Win Contribution only involving the player's Win Score above average rather than his counterpart opponents Win Score above average.
Total Wins: Defensive Half Wins + Offensive Half Wins/ 2.
Total Win Contribution: Defensive Win Contribution + Offensive Win Contribution/2.
Win Value over Average: This statistic answers the following question, "How many wins have we gained or lost because we gave those playing minutes to this player instead of giving them to an average NBA player?" Now be careful. Most NBA players are below average. That's because of the distribution of talent. The LeBron James and Dwight Howards of the world are so much better that they push many players below the average. Nevertheless, a team of average players will have a record of 41-41, so "Win Value over Average" tells you whether this player is making you into a winning team or a losing team.
Personal Won-Loss Record: This statistic I just made up. Its calculated as follows: (Win Value over Average/%pt + 41). It answers the following question: "If the whole team performed at the level this player is performing at, what would our record likely be?" Now, players will be so good/bad that the whole team would have an impossible record. For instance, if the Cleveland Cavaliers entire team played as far above average as LeBron James, the team would have something like 16 more wins than actual games played. And, if the Cleveland Cavaliers whole team played as poorly as Sasha Vujacic, the team would have something like 9 more losses than games played. Even with that bit of fiction, the statistic still gives you an accurate indication of the level of play the particular produced. To take the above chart, Richard Jefferson was basically a 25 win player, while Yi was even worse, and Bobby Simmons was terrible.