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Archive for the 'Statgeekery' Category

BBR Rankings: Schedule-Adjusted Offensive and Defensive Ratings (March 4, 2011)

4th March 2011

2010-11 NBA power rankings through the games played on March 3, 2011:

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Posted in BBR Rankings, SRS, Statgeekery | 42 Comments »

Top-10 Overall Despite Being Below-Average in Three of the Four Factors

3rd March 2011

While I'm en route to Boston for the MIT Sloan Sports Analytics Conference, here's a neat question SI's Zach Lowe had regarding the Memphis Grizzlies' defense:

"Memphis has emerged as a top-10 defensive team despite being good at only one of the four factors--forcing turnovers, which they do extremely well. They rank below the league average in eFG (barely below the avg), DRB rate (horrible) and FT/FGA (somewhere in between). I have a feeling it's unusual for a team to rank in the top-10 overall while ranking below the league average in 3 of the 4 defensive factors, but perhaps it's not as unusual as I think it might be."

It is very unusual, in fact. Since 1974, the first year we can compute the Factors, just eleven defenses (including Memphis) have ranked in the top 10 despite being below-average in 3 of 4 Factors. And if we expand it to include either offense or defense, the list contains only 27 teams:

Year Team Type Rtg Rk efg% <avg tov% <avg rb% <avg ftr <avg
1974 Philadelphia 76ers Defense 99.0 10 46.8 17.6 66.7 21.0
1975 Portland Trail Blazers Defense 97.7 6 45.0 16.0 69.6 22.8
1976 Phoenix Suns Defense 97.9 7 46.8 17.3 69.1 22.9
1976 Chicago Bulls Defense 98.0 9 46.7 15.8 74.6 23.2
1978 Atlanta Hawks Defense 99.8 6 47.4 19.9 67.0 32.9
1984 Milwaukee Bucks Defense 103.6 2 45.9 14.7 65.6 26.6
1986 Denver Nuggets Defense 105.9 9 49.5 16.9 64.1 26.6
1989 New York Knickerbockers Defense 107.5 10 50.4 16.7 65.1 24.9
2004 Toronto Raptors Defense 100.4 7 44.9 14.1 70.1 24.1
2009 Utah Jazz Defense 107.3 10 50.5 15.0 72.7 26.2
2011 Memphis Grizzlies Defense 104.8 8 49.8 15.7 71.9 23.3
1976 Cleveland Cavaliers Offense 99.5 3 45.4 13.5 29.9 17.5
1977 Kansas City Kings Offense 100.5 8 46.0 15.4 30.9 22.1
1977 Detroit Pistons Offense 100.3 9 48.3 16.6 30.7 18.5
1977 New York Knickerbockers Offense 100.1 10 48.6 16.6 26.4 21.1
1978 New York Knickerbockers Offense 101.7 9 48.8 16.7 31.0 21.4
1980 Los Angeles Lakers Offense 109.5 1 53.0 16.5 32.6 22.0
1980 Cleveland Cavaliers Offense 106.7 6 47.6 13.2 33.1 21.2
1984 Phoenix Suns Offense 108.9 10 51.4 15.1 31.4 23.2
1987 Denver Nuggets Offense 109.3 8 47.8 11.8 32.2 24.8
1988 Denver Nuggets Offense 110.1 8 48.6 11.7 29.7 23.1
1992 Milwaukee Bucks Offense 108.8 10 48.6 14.2 35.9 22.1
1993 Houston Rockets Offense 109.6 6 51.5 14.5 30.0 23.5
1995 Houston Rockets Offense 109.7 7 52.9 15.0 26.9 23.2
1997 Houston Rockets Offense 108.8 7 52.0 15.6 28.4 23.2
1999 Houston Rockets Offense 105.4 5 50.6 15.8 27.8 22.8
2008 Phoenix Suns Offense 113.3 2 55.1 13.4 22.4 22.8

I'll let Zach provide the commentary, so go check out his post at SI's Point Forward blog.

Posted in Data Dump, Statgeekery | 4 Comments »

Layups: Conference Tournament Win Probabilities

1st March 2011

If you're a long-time reader of this blog, you know that Ken Pomeroy's Kenpom.com is one of my favorite college basketball websites (just a notch below CBB @ Sports-Reference, of course). So it's great to see that Ken will once again be using his ratings to generate win probabilities for each conference tournament (and the NCAA tourney) over the next few weeks. You can find all of those posts at the Basketball Prospectus Unfiltered Blog, but to start you off, here are the odds for some of the early tournaments:

Let log5 season begin (Big South and Horizon)

Log5: A-Sun, OVC, and Patriot

Posted in Layups, NCAA, Statgeekery | Comments Off on Layups: Conference Tournament Win Probabilities

Where Would They Be Without Him?

28th February 2011

Tom Haberstroh had a great piece at ESPN last week in which he broke down the ongoing Derrick Rose-vs-LeBron James MVP debate. To me, the key passage was this:

"Oddly enough, what's not helping Rose's MVP case is his plus-minus numbers. And implicitly, this is where most Rose supporters state their case. When his advocates ask, 'Where would the Bulls be without Rose?' the question is meant to be a rhetorical one. The obvious implication is that a Rose-less Bulls squad would instantly become a basement dweller. But rather than blindly accept it, we can actually see how the Bulls have managed without him on the court. And how have they fared with Rose benched? By beating opponents by 51 points on the season, or an average of 4.9 points every 100 possessions. Why? Whether Rose is in the game or not, [Tom] Thibodeau’s game-changing defense remains."

I don't want to get into Rose-vs-James specifically here, but I do think what Tom wrote is a very important concept to apply to all NBA MVP debates in this modern age of plus/minus.

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Posted in Analysis, Awards, Rants & Ramblings, Statgeekery | 90 Comments »

Chris Bosh and the Most Offensively Detrimental Games in Our Database (*according to statistical +/-)

25th February 2011

During Chris Bosh's brickfest last night, all I could think of was, "Wow, this is a John Starks-ian performance." Turns out it was even worse, albeit in a much less critical situation than Game 7 of the Finals.

Using offensive statistical plus/minus (OSPM), I put together a list of the most detrimental offensive games in our box score database (this spans 1987-2011 for the regular season, and 1991-2010 for the playoffs). For every game, I calculated the player's OSPM, the team's offensive rating, and what the team's offensive rating would have been had the player turned in a league-average performance. The most detrimental performances were the ones that sucked the most points from a team's offensive rating. I also added one requirement to qualify for the list: the player's offense must have cost his team a win -- i.e., with an average offensive performance from a player in his minutes, they would have outscored the opponent, but instead lost the game.

Let's use Bosh as an example. Last night, Bosh had an OSPM of -15.18, which means for every 100 possessions he was on the floor, he drained more than 15 points away from Miami's offensive rating relative to a league-average performance. Miami's actual offensive rating was 95.3, but if Bosh had just been average, Miami's rating would have been 108.5 -- meaning he cost them 13.16 points of offensive rating over the course of the entire game. Worse yet, Chicago's offensive rating was 99.6, so if Bosh had been average (or even merely below-average), Miami would have won the game. That's why Bosh qualifies for the list, because his poor offense cost his team a win.

Anyway, here are the most detrimental offensive performances in our database (mouse over column headers for descriptions):

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Posted in Analysis, Data Dump, Statgeekery, Statistical +/-, Trivia | 26 Comments »

BBR Rankings: Schedule-Adjusted Offensive and Defensive Ratings (February 25, 2011)

25th February 2011

2010-11 NBA power rankings through the games played on February 24, 2011:

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Posted in BBR Rankings, SRS, Statgeekery | Comments Off on BBR Rankings: Schedule-Adjusted Offensive and Defensive Ratings (February 25, 2011)

Percentage of Team Shot Attempts “Created” While On the Floor

23rd February 2011

With noted shot-creator Carmelo Anthony on the move, I was wondering which players have a hand in "creating" the highest percentage of their team's shot attempts when on the floor.

If we're just looking at a player's own shooting attempts, this is pretty easy. You can look at the percentage of team FGA a player takes when on the court (all leaders minimum 1,366 minutes):

Player Pos Tm G Min FGA FTA %FGA
Kobe Bryant SG LAL 58 1959 1121 415 33.6%
Carmelo Anthony SF DEN 50 1774 967 417 32.7%
Derrick Rose PG CHI 53 2012 1068 328 31.8%
Kevin Durant SF OKC 51 2011 1037 457 31.3%
LeBron James SF MIA 55 2100 1034 479 30.7%
Dwyane Wade SG MIA 53 1964 957 467 30.4%
Amare Stoudemire C/PF NYK 53 1949 1028 422 30.3%
Andrea Bargnani PF/C TOR 51 1828 935 254 29.7%
Michael Beasley SF/PF MIN 48 1566 828 196 29.7%
Russell Westbrook PG OKC 55 1953 932 446 29.0%
Monta Ellis SG GSW 56 2298 1156 336 28.6%
Joe Johnson SG/SF ATL 47 1688 788 182 28.5%
Dirk Nowitzki PF DAL 47 1611 737 274 28.1%
Antawn Jamison PF/SF CLE 53 1737 822 214 28.0%
Kevin Martin SG HOU 56 1745 848 476 27.8%
Eric Gordon SG LAC 41 1550 712 296 27.6%
Brook Lopez C NJN 57 1959 870 351 27.4%
Stephen Jackson SG/SF CHA 55 2025 884 260 27.3%
Luis Scola PF HOU 58 1939 920 251 27.2%
Blake Griffin PF LAC 57 2156 971 492 27.1%

You could also take it a step further and factor in free throws as well, calculating the percentage of each team's True Shooting Attempts (FGA + .44 * FTA) each player takes while on the floor:

Player Pos Tm G Min FGA FTA TSA %TSA
Kobe Bryant SG LAL 58 1959 1121 415 1303.6 34.5%
Carmelo Anthony SF DEN 50 1774 967 417 1150.5 33.3%
Kevin Durant SF OKC 51 2011 1037 457 1238.1 32.1%
Derrick Rose PG CHI 53 2012 1068 328 1212.3 31.9%
LeBron James SF MIA 55 2100 1034 479 1244.8 31.9%
Dwyane Wade SG MIA 53 1964 957 467 1162.5 31.8%
Amare Stoudemire C/PF NYK 53 1949 1028 422 1213.7 31.7%
Kevin Martin SG HOU 56 1745 848 476 1057.4 30.6%
Russell Westbrook PG OKC 55 1953 932 446 1128.2 30.1%
Andrea Bargnani PF/C TOR 51 1828 935 254 1046.8 29.6%
Monta Ellis SG GSW 56 2298 1156 336 1303.8 29.1%
Michael Beasley PF MIN 48 1566 828 196 914.2 29.1%
Dirk Nowitzki PF DAL 47 1611 737 274 857.6 29.1%
Blake Griffin PF LAC 57 2156 971 492 1187.5 28.8%
Brook Lopez C NJN 57 1959 870 351 1024.4 28.5%
Eric Gordon SG LAC 41 1550 712 296 842.2 28.4%
Joe Johnson SG/SF ATL 47 1688 788 182 868.1 28.0%
Antawn Jamison PF/SF CLE 53 1737 822 214 916.2 27.5%
LaMarcus Aldridge PF/C POR 56 2206 989 332 1135.1 27.3%
DeMarcus Cousins C SAC 53 1443 662 248 771.1 27.2%

But I think you need to take assists into account as well.

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Posted in Analysis, Statgeekery | 30 Comments »

The Best Players Ever to be Traded Midseason

22nd February 2011

Well, it's (quasi) official now: Carmelo Anthony is a member of the New York Knicks.

Finally, we can put aside the trade speculation and ask the really important questions about the deal. No, I'm not talking about how this shifts the balance of power in the East, or if 'Melo and Amare Stoudemire can coexist in the Big Apple... I'm talking about where Carmelo ranks among all-time players who were traded in the middle of the season.

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Posted in Data Dump, History, Statgeekery, Trivia, Win Shares | 37 Comments »

Who Are the Most Similar Players to This Year’s All-Stars?

19th February 2011

Reading yesterday about Dave Duerson's tragic passing made me think about the player similarity system he inspired at PFR, and that in turn caused me to remember a similar system I concocted for basketball players.

Using the methodology I outlined, who are the most comparable players to this year's All-Stars in terms of career quality and shape (through their current age)?

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Posted in All-Star Game, History, Insane ideas, Just For Fun, Statgeekery, Totally Useless, Win Shares | 10 Comments »

BBR Rankings: Schedule-Adjusted Offensive and Defensive Ratings (February 18, 2011)

18th February 2011

2010-11 NBA power rankings through the games played on February 17, 2011:

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Posted in BBR Rankings, SRS, Statgeekery | 12 Comments »