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Advanced Metrics Handbook, Vol. 2: True Shooting Percentage

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Part of an occasional series explaining some of the advanced statistical terms employed at Orlando Pinstriped Post. Today's topic: true shooting percentage, or TS% for short.

As I mentioned in the first installment of this series, effective field goal percentage is useful, but even then it's not the very best way to measure a given player's scoring efficiency. Nope, that'd be True Shooting Percentage, or TS%, which incorporates two-pointers, three-pointers, and free throws into its formula. And as we'll soon see, it's not really a percentage! But first, an example case.

On January 15th, 2010, the Orlando Magic dropped a 15-point decision to the Portland Trail Blazers, who were without franchise cornerstone Brandon Roy, as well as Greg Oden and Joel Przybilla, their two best defensive big men. The Blazers' skeleton crew made quick work of the Magic, leading by 14 points at halftime. Orlando's Dwight Howard scored 11 points on an economical 4-of-7 shooting in the loss.

Viewed through the traditional prism of field goal percentage, Howard's 57.1% figure was solid. If you're a bit fancier, you might say he scored 1.6 points per shot, which isn't bad at all. But neither of those metrics accounts for another key component of offense, namely the free throw. And Howard shot 3-of-10 at the line that night. TS% addresses that shortcoming and tells the most accurate, reliable picture of a player's scoring efficiency.

The formula:

Points / (2 * (FGA + 0.44 * FTA))

In plain English:

TS% considers the number of points a player scored relative to the shooting possessions he used, with that term encompassing field goal attempts as well as free-throw attempts; a coefficient of 0.44 corrects free-throw attempts to reflect the fact that they're often taken in pairs, as well as in other situations such as and-ones and technical fouls. Another way to think of TS% is points per shooting possession, halved.

Star-divide

What it's for:

I fear I may have given too much of this section away previously, but anyway: TS% corrects every other metric in that it incorporates free throw attempts. And it does something that no other shooting metric does, really, which is consider points produced. In this way, it weighs a player's offensive production against the shooting possessions he used to get there, regardless of which sort of possession (two-pointer, three-pointer, or free throw) the player used.

As you may figure, TS% is valuable for considering all types of players, but it's especially useful when looking at big men, who typically don't take many three-pointers (though we're seeing a paradigmatic shift of late, with guys like Dirk Nowitzki, Mehmet Okur, Andrea Bargnani, and Rashard Lewis stepping beyond the arc at power forward and center. Because they tend not to have three-pointers to pad their points total, a solid TS% from a big man reveals that he probably plays within himself and within the offense, and can draw fouls to boot.

The takeaway:

In our example, Howard shot 57.1% from the field. However, when considering his poor shooting at the foul line, he registered a below-average 48.2% True Shooting figure. Howard's inefficiency in this game was among the factors that led to defeat; he certainly wasn't a bright spot on offense, contrary to what his raw field goal percentage may seem to indicate.

Another example shows how TS% can work the other way too, though; it can make poor field goal efforts look good, which is the opposite of what the example that led off this post did. Against the Toronto Raptors on November 1st, 2009, Howard shot just 5-of-13 (38.5%) from the floor. But he scored 24 points thanks to his 14-of-16 effort from the line. Plug those numbers in and you'll see Howard finished the Sunday matinee with a 59.9% True Shooting mark, which is just a shade below his career average of 60.3%.

Taking a wider view, TS% stresses the role foul shooting plays in today's game. And, due to the use of shooting possessions in calculating it, we see how inadequate field-goal attempts are in measuring a given player's involvement in the offense. Consider the Magic's leaders in shot attempts per game last year:

Team
Rank
PlayerFGA/Game
1Vince Carter13.5
2Rashard Lewis11.2
3Jameer Nelson10.9
4Dwight Howard10.2
5Mickael Pietrus7.2

Based on that list, you might conclude the Magic are freaking insane for giving Howard, their franchise player, only 10.2 shot attempts--behind three other players!--and that he needs to be involved more. And while there's validity to the idea that Howard indeed needs more touches, the situation isn't as dire as traditional field goal attempts per game average paints it to be. Here now are the Magic's leaders in shooting possessions used per game:

Team
Rank
PlayerShoot. Poss./
Game
Change
1Vince Carter15.3+ 1.8
2Dwight Howard14.5+ 4.3
3Rashard Lewis12.3+ 1.1
4Jameer Nelson11.6+ 0.7
5Mickael Pietrus7.8+ 0.6

Indeed, considering shooting possessions vaults Howard over Lewis and Nelson and places him less than one such possession behind Vince Carter, the team leader. And although there are better methods to measure overall offensive involvement than shooting possessions--usage rate is one--it's certainly better than merely evaluating field goal attempts.

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So just to make sure I'm clear...

Shooting possessions take into account going to the FT line and give a better measure of a players involvement in the offense, and TS% takes into account how a player utilizes those possessions?

I do appreciate your taking the time to explain these different advanced metrics and can’t wait for future installments. I hope the lack of comments doesn’t deter you from continuing this series!

by malars on Aug 16, 2010 2:15 PM EDT reply actions  

Nicely done Ben.

ORL★NDO M★GIC
-SEMINOLES-;;-►

by Wally Balls 407 on Aug 16, 2010 2:32 PM EDT reply actions  

One tweak I'd like to see.

I wish there was some way to tally up turnovers given up with the ball/in the act of going to the hoop, as opposed to passing turnovers.For example, Dwight’s turnovers in the post. Granted, he gets some of them passing out of the post, but pretty frequently, the ball gets swatted out of his hands before it becomes a shot (and therefore a block). To me, that’s a hazard of shooting, and should be included in his efficiency totals.

Of course, this is all speculative (if it’s not a shot, how do you know if it’s going to be?), and not really a concrete stat. Still.

I call him LeBron Jim for short.

by 3.3seconds on Aug 16, 2010 8:06 PM EDT reply actions  

Great stuff

but shouldn’t that .44 modifier adjust based on who’s taken the FT’s? That might be based on a league average but when you have a guy like Howard who’s FT% is so low or maybe like Amare who takes a large number of and 1’s…

I guess I don’t understand that .44 enough but it seems like it could distort things

Raising Arizona Sports at SB Nation Arizona twitter: @sethpo

by Seth Pollack on Aug 17, 2010 11:10 AM EDT reply actions  

Extensive NBA studies of decades worth of statistical data have determined that each free throw represents not one half (0.5) of a possession, but slightly over four tenths (0.44) of a possession. Thus, to find how many possessions a player used in free throws — which is to say, the number of shots that a player’s FTA represent — we multiply his FTA by 0.44, rather than by 0.5. This reflects that some free throws are “and one’s” rather than two shot fouls. To my knowledge, stats on how free throw shots were earned (shooting fouls, tech, and-ones, etc.) are not publicly available.

"We have a great bunch of outside shooters. Unfortunately, all our games are played indoors." - Weldon Drew

I'll tell ya about the Magic It'll free your soul but it's like trying to tell a stranger 'bout rock n roll

"This dude is huge....I've got to go home and eat like five chickens and put a lot of weight on. It's going to take a couple months, but seriously." - Marcin Gortat about Shaq.

by NC Magic Fan on Aug 17, 2010 12:29 PM EDT up reply actions  

Yeah, it's based on a wealth of statistical data

Using play-by-play data can help determine shooting possessions used on a small-scale basis (i.e. a single game, or a couple of games), but for evaluating entire seasons or careers, the 0.44 multiplier is preferred.

by Evan Dunlap on Aug 17, 2010 12:42 PM EDT up reply actions  

presumably the data available to the public will get to the point where we know for each individual player how many FTs came on 2 shot fouls, and 1s, technicals, etc. and we won’t need the .44 coefficient. Surprised we’re not there already really.

by jksnake99 on Aug 17, 2010 11:14 PM EDT up reply actions  

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