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Shocker of the Day: Losing Your Leading Scorer Hurts Your Offense

Posted by Neil Paine on May 18, 2011

In gathering links for StatHead yesterday, I came across this post at the Wages of Wins, wherein Prof. Berri mentions that the losses of Allen Iverson, Carmelo Anthony, & Rudy Gay did not hurt their respective teams. He then writes:

"In each of these examples, the loss of a scorer led people to forecast doom.  In each case, the team losing the scorer managed to survive and even improve.

Readers of The Wages of Wins and Stumbling on Wins understand this basic story. Scoring is overvalued by many NBA observers.   Top scorers do not always have the impact on wins that people imagine.  But no matter how often this story repeats, each time a scorer is lost we still see the same arguments offered by adherents to the conventional wisdom (for example, this week the Grizzlies insisted they would never dream of letting Gay depart)."

That's anecdotal evidence, though. What if we looked at every instance of a team losing its leading scorer? Would the typical team in that situation be impervious, or are those just a few cherry-picked exceptions to a larger rule?

Well, luckily, at BBR we have boxscores for every regular-season game since 1985-86. So I gathered our data, considering a team's "leading scorer" to be the player who led the team in PPG among players who played more than half of the team's games. I then looked at each team's offensive rating in every game, noting whether the designated "leading scorer" played in that game or not.

I also accounted for the strength of the opposing defense in each game by measuring how many pts/possession the opponent allowed in every game of the season except the one at hand. The end result will measure how well each offense performed relative to what we would expect from a league-average team facing the same opponent -- split by whether the team's "leading scorer" played or not.

For example, here is the data from 2011:

w/ Leading Scorer w/o Leading Scorer
Team Leading Scorer G Pts Poss ORtg avRtg vsAvg G Pts Poss ORtg avRtg vsAvg Diff
ATL Joe Johnson 72 6854 6382.1 107.4 108.1 -0.7 10 936 895.7 104.5 107.0 -2.5 1.8
BOS Paul Pierce 80 7707 7171.0 107.5 108.2 -0.7 2 206 199.6 103.2 111.0 -7.8 7.1
CHA Stephen Jackson 67 6284 6011.3 104.5 108.0 -3.5 15 1366 1323.8 103.2 107.4 -4.2 0.7
CHI Derrick Rose 81 7990 7307.3 109.3 108.3 1.1 1 97 97.0 100.0 108.0 -8.0 9.1
CLE Antawn Jamison 56 5332 5240.8 101.7 107.4 -5.7 26 2495 2377.4 104.9 108.4 -3.5 -2.2
DAL Dirk Nowitzki 73 7396 6657.7 111.1 108.4 2.7 9 824 795.7 103.6 107.4 -3.9 6.5
DEN Carmelo Anthony 50 5408 4773.4 113.3 108.2 5.1 32 3403 3032.7 112.2 108.2 4.0 1.1
DET Rodney Stuckey 70 6814 6271.6 108.6 107.8 0.9 12 1137 1058.0 107.5 107.0 0.5 0.4
GSW Monta Ellis 80 8256 7583.4 108.9 108.1 0.8 2 221 194.6 113.6 107.8 5.8 -5.0
HOU Kevin Martin 80 8465 7572.8 111.8 108.1 3.7 2 220 181.2 121.4 104.6 16.8 -13.1
IND Danny Granger 79 7930 7477.5 106.1 108.1 -2.1 3 253 279.6 90.5 105.1 -14.6 12.5
LAC Blake Griffin 82 8089 7612.1 106.3 108.2 -1.9 0 0 0.0 0.0 0.0 0.0 0.0
LAL Kobe Bryant 82 8321 7452.5 111.7 108.4 3.3 0 0 0.0 0.0 0.0 0.0 0.0
MEM Zach Randolph 75 7500 6886.8 108.9 108.3 0.6 7 695 668.8 103.9 108.0 -4.1 4.7
MIA LeBron James 79 8074 7159.7 112.8 108.1 4.6 3 295 269.7 109.4 107.4 1.9 2.7
MIL Brandon Jennings 63 5788 5661.2 102.2 108.5 -6.2 19 1746 1693.8 103.1 107.2 -4.1 -2.2
MIN Kevin Love 73 7380 7037.0 104.9 108.1 -3.2 9 908 867.3 104.7 108.2 -3.5 0.3
NJN Brook Lopez 82 7722 7427.8 104.0 107.9 -4.0 0 0 0.0 0.0 0.0 0.0 0.0
NOH David West 70 6657 6211.8 107.2 108.2 -1.0 12 1127 1048.9 107.4 108.6 -1.1 0.1
NYK Amare Stoudemire 78 8313 7433.5 111.8 107.7 4.1 4 421 388.1 108.5 107.4 1.1 3.1
OKC Kevin Durant 78 8203 7286.7 112.6 108.3 4.3 4 393 386.0 101.8 107.7 -5.9 10.2
ORL Dwight Howard 78 7762 7132.2 108.8 108.2 0.6 4 373 345.1 108.1 106.1 2.0 -1.4
PHI Elton Brand 81 8029 7458.3 107.7 108.0 -0.4 1 90 90.1 99.9 113.8 -13.9 13.5
PHO Steve Nash 75 7931 7154.9 110.8 108.1 2.8 7 680 655.8 103.7 106.7 -3.0 5.8
POR LaMarcus Aldridge 81 7810 7109.2 109.9 108.1 1.7 1 86 93.1 92.4 111.7 -19.3 21.0
SAC Tyreke Evans 57 5547 5366.9 103.4 108.4 -5.0 25 2604 2459.3 105.9 107.7 -1.8 -3.2
SAS Tony Parker 78 8115 7201.6 112.7 108.2 4.5 4 387 363.6 106.4 107.8 -1.4 5.9
TOR Andrea Bargnani 66 6627 6159.2 107.6 108.1 -0.5 16 1497 1444.0 103.7 106.1 -2.4 1.9
UTA Deron Williams 53 5296 4822.9 109.8 107.9 1.9 29 2857 2658.7 107.5 108.1 -0.7 2.5
WAS Nick Young 64 6207 6029.0 103.0 107.7 -4.7 18 1770 1705.9 103.8 108.1 -4.3 -0.4
League Average 2183 217807 201052.0 108.3 108.1 0.2 277 27087 25573.7 105.9 107.7 -1.8 0.9

As you can see, the average NBA team (weighted by possessions without the scorer) was 0.9 points/100 poss. worse on offense in games where their designated "leading scorer" did not play. As it turns out, this was actually a good year for teams who lost scorers; since 1985-86, the average NBA team is 2.0 points per 100 poss. better when their leading scorer plays vs. when he doesn't. (For the full dataset, click here.)

Which teams were impacted the most? With a minimum of 10 games missed, here were the teams whose ORtg suffered the most without their leading scorer:

w/ Leading Scorer w/o Leading Scorer
Year Team Leading Scorer G Pts Poss ORtg avRtg vsAvg G Pts Poss ORtg avRtg vsAvg Diff
2010 CHA Stephen Jackson 72 6981 6535.5 106.8 108.5 -1.6 10 832 883.1 94.2 108.2 -14.0 12.4
1997 PHO Kevin Johnson 70 7314 6546.6 111.7 107.7 4.0 12 1117 1126.7 99.1 106.9 -7.7 11.7
1997 ATL Steve Smith 72 6935 6255.7 110.9 107.5 3.3 10 839 851.7 98.5 106.9 -8.3 11.7
1999 NJN Stephon Marbury 31 2938 2796.6 105.1 102.9 2.2 19 1631 1760.0 92.7 101.6 -9.0 11.1
2008 CHI Ben Gordon 72 7073 6693.0 105.7 108.0 -2.3 10 908 935.2 97.1 109.6 -12.5 10.2
1997 ORL Anfernee Hardaway 59 5751 5247.0 109.6 107.6 2.0 23 1968 2005.9 98.1 106.2 -8.1 10.1
1996 MIA Alonzo Mourning 70 6890 6407.4 107.5 108.5 -1.0 12 1019 1047.5 97.3 108.3 -11.0 10.0
1993 ATL Dominique Wilkins 71 7721 6960.7 110.9 108.2 2.7 11 1093 1060.3 103.1 110.0 -6.9 9.6
1994 DET Joe Dumars 69 6742 6459.3 104.4 106.3 -1.9 13 1207 1243.4 97.1 108.6 -11.5 9.6
2007 NOK David West 52 5168 4727.3 109.3 107.5 1.8 30 2665 2689.6 99.1 106.7 -7.6 9.5
2000 PHI Allen Iverson 70 6746 6523.2 103.4 105.0 -1.6 12 1025 1082.4 94.7 105.0 -10.3 8.7
2007 TOR Chris Bosh 69 6917 6351.8 108.9 107.1 1.8 13 1240 1217.6 101.8 107.8 -5.9 7.8
1998 HOU Clyde Drexler 70 7014 6397.6 109.6 106.3 3.4 12 1085 1081.0 100.4 104.6 -4.2 7.6
1999 ATL Steve Smith 36 3188 3091.1 103.1 102.3 0.8 14 1127 1160.1 97.1 103.8 -6.6 7.5
2005 NJN Vince Carter 57 5339 5123.4 104.2 106.7 -2.5 25 2157 2210.0 97.6 107.5 -9.9 7.4
1993 WSB Harvey Grant 72 7396 7040.1 105.1 108.3 -3.3 10 957 976.8 98.0 108.5 -10.5 7.3
2004 LAL Kobe Bryant 65 6528 6075.5 107.4 103.7 3.7 17 1524 1508.7 101.0 104.6 -3.6 7.3
1999 CHH Eddie Jones 30 2872 2711.2 105.9 102.0 4.0 20 1772 1795.8 98.7 101.7 -3.1 7.0
2007 GSW BaRon Davis 63 6760 6190.1 109.2 107.3 2.0 19 1977 1933.6 102.2 107.2 -5.0 6.9
1991 SEA Eddie Johnson 66 7066 6304.6 112.1 108.4 3.7 16 1678 1608.5 104.3 107.5 -3.2 6.9

Meanwhile, these teams thrived without their leading scorers:

w/ Leading Scorer w/o Leading Scorer
Year Team Leading Scorer G Pts Poss ORtg xORtg vsAvg G Pts Poss ORtg xORtg vsAvg Diff
2004 ATL Shareef Abdur-Rahim 53 4712 4765.9 98.9 103.3 -4.4 29 2899 2696.9 107.5 104.0 3.5 -7.8
2009 PHO Amare Stoudemire 53 5606 5007.9 111.9 109.3 2.7 29 3368 2850.0 118.2 108.6 9.6 -6.9
2002 CHI Brad Miller 48 4155 4290.4 96.8 105.4 -8.6 34 3180 3110.6 102.2 104.7 -2.4 -6.1
1989 DET Adrian Dantley 42 4415 4059.6 108.8 108.8 0.0 40 4325 3811.4 113.5 107.9 5.5 -5.6
1994 LAC Danny Manning 42 4239 4193.0 101.1 106.9 -5.8 40 4208 3967.3 106.1 106.6 -0.5 -5.3
2000 LAC Maurice Taylor 62 5632 5804.6 97.0 104.2 -7.2 20 1914 1859.8 102.9 105.0 -2.1 -5.1
2005 ATL Antoine Walker 53 4807 4833.3 99.5 106.5 -7.0 29 2798 2676.6 104.5 106.9 -2.4 -4.7
2001 WAS Juwan Howard 54 4947 4958.4 99.8 103.4 -3.7 28 2698 2586.1 104.3 103.6 0.7 -4.4
2006 ORL Steve Francis 46 4291 4077.9 105.2 107.2 -2.0 36 3493 3196.8 109.3 107.0 2.3 -4.3
2003 SEA Gary Payton 52 4746 4614.2 102.9 104.1 -1.3 30 2809 2614.8 107.4 104.6 2.8 -4.1
1999 NYK Patrick Ewing 38 3259 3309.9 98.5 102.5 -4.0 12 1061 1034.2 102.6 102.6 0.0 -4.0
2007 CHA Gerald Wallace 72 6980 6726.9 103.8 107.2 -3.4 10 965 894.5 107.9 107.6 0.3 -3.7
1998 GSW Joe Smith 49 4300 4524.5 95.0 106.5 -11.4 33 2937 2988.2 98.3 106.0 -7.7 -3.7
1996 BOS Dino Radja 53 5521 5211.8 105.9 108.5 -2.6 29 2974 2730.0 108.9 108.1 0.9 -3.5
1989 CHH Kelly Tripucka 71 7416 7165.0 103.5 108.3 -4.8 11 1150 1078.3 106.7 108.1 -1.4 -3.4
2002 CLE Lamond Murray 71 6758 6431.9 105.1 105.1 0.0 11 1054 980.3 107.5 104.2 3.4 -3.4
2011 SAC Tyreke Evans 57 5547 5366.9 103.4 108.4 -5.0 25 2604 2459.3 105.9 107.7 -1.8 -3.2
2005 SAC Chris Webber 46 4699 4285.6 109.6 106.6 3.0 36 3806 3371.7 112.9 107.0 5.9 -2.9
1993 MIL Frank Brickowski 66 6739 6348.0 106.2 108.5 -2.3 16 1653 1515.9 109.0 108.5 0.5 -2.8
2008 HOU Yao Ming 55 5304 4975.6 106.6 108.4 -1.8 27 2627 2405.8 109.2 108.4 0.8 -2.6

Historically, though, those are the exceptions, not the rule. The complete data since 1986 says that when forced to survive without their leading scorer, teams often struggle to put the ball in the basket.

51 Responses to “Shocker of the Day: Losing Your Leading Scorer Hurts Your Offense”

  1. Travis Says:

    @49:

    It used to be on the site. This was before the reset a couple years ago.

    I see that nobody has bothered to mention post #31. This is exactly what Berri is saying. This is an issue of semantics, like in the following example:

    I support cutting off foreign aid to Israel.

    vs

    The US should not dictate Israel's border decisions for Israel; the outcome should be negotiated between Israel and its neighbor.

    While those may seem like opposing statements, both are non-interventionist.