The Jazz and the Warriors played a thrilling game of basketball, the Warriors won in the end despite the Jazz performing a feat I have never seen in an NBA game.  A open shot was taken by the Jazz and it failed to hit the rim but succeeded in bouncing off another Jazz players head and then went out of bounds.  There should be a statistic for this kind of play.  The Warriors won despite this sterling and unbelievable play.

This game got my wondering however, many Warriors players had good productive games in this win but almost all Warriors offensive numbers will suffer because of poor FG%.  Looking at Monta's game he did not score efficiently but he contributed mightily because of great defense and steals, he also shot much better than his teammates despite shooting poorly himself.

In the end isn't a statistic like TS% only really relevant when comparing it to the scope of the game?  The Jazz played lock down defense on our players and many players had a terrible time shooting the ball, so bad that the team average TS% was .414, Monta shot a lot of shots but still outperformed his teammates in TS% by .029 therefor despite having a poor shooting night Monta helped his team offensively more so than many of the other players.

Therefore it is really unfair to claim that Ellis shot poorly and therefore hurt his teams chance for winning, most players shot even worse than Ellis and much of the reason for the poor shooting was good defense on the part of the Jazz, therefore I believe that a new statistic should be created.  In honor of Monta Ellis(and his tats) I have named this stat TATS%(Team Aggregated True Shooting Percentage) here is how it works.

1.  Find the TS% for the team as a whole (.414)

2.  Find the TS% for the player who you are judging (.443)

3.  Find the difference between the two numbers subtracting total TS% from the players number signifying if the number is negative or positive. (+.029)

4.  Next find the league average TS% up to this point in the season (.536)

5.  Add or subtract step 3 to step 4 and there you have it Monta Ellis's TATS% was .565 for the night.

Tats is a good reflection of how well a players shooting helped or hurt his team.  Tonight despite shooting poorly Ellis helped his team win because he shot better than the team as a whole.

You could also perform this statistic for a player's entire season.  Lets do it again for Monta's entire season last year.

1.  The TS% for the team all year was .565

2.  Monta Ellis's TS% for the whole year was .517

3.  The difference was -.048

4.  The league average TS% was .543

5.  Add or Subtract step 3 from step 4, and Monta Ellis's TATS from last year was .495

Using this method one might be able to judge a player's individual performance better if one just saw a player with a .443 TS% for a game and saw that he shot 20 shots one might come slap ones palm against ones forehead and say to themselves "why did this player shoot so many shots." but on a closer look if the individual looking at the stat sheet saw a TATS% of .565 they might say to themselves "That is mighty efficient scoring for that amount of shots.  Monta Ellis really helped his team tonight with his shooting."  The second exclamation would be a better judgment of Monta Ellis's shooting on this night.

One of the drawbacks to TATS% is that really bad teams would have players with a good TATS% and it would not really judge that players overall talent only the effect on which the player had on this really bad team with regards to his shooting.  One good use of TATS% is to determine if a players shot selection is intelligent a player may have a low overall TS% because he has to take more shots because the rest of his team is even worse at shooting, essentially it is a good way to look and see if a player is shooting intelligently within his teams own offense. If their TATS% is around the average TS% for the league that is good, if it is extremely high into the .600s that means that with the shots that the player takes he is helping his team tremendously with scoring.

Of course this idea could be taken to another level and an entire performance could be judged and weighted based completely on team performance.  TS% was the easiest statistic for me to compile right now.  Theoretically you could do the same weighted performance with regards to rebounds, assists, turnovers, steals and blocks and create a stat that rates a players entire performance weighted towards how the rest of his team and how well his opponents did.