Random Stat: Assisting Percentage
Q: I couldn't find anywhere in your stats a measure of PG "quality" calculated as assists divided by (Team FGM-PG FGM) while PG is on-court. In other words I'd like to know which PG is dominating his team's offense the most and what's more is very good at this. I believe this year it's Nash but would like to compare with classics like: Stockton, Magic or Kidd. Hope it's not too difficult
-- Leszczur
A: Interesting idea...and something we can certainly look at for the current season, but sadly we only have data from 02-03 on so can't speak to the greats of the past. First up then the original idea on what percentage of a team's made baskets while on court (minus the player's own shots) come from specific player assists.
2006-07 Regular Season (thru 3/18)
Player |
Team |
Ast |
T'Mate FGM |
Ast'd |
Nash |
PHO |
693 |
1481 |
46.8% |
Rodriguez |
POR |
165 |
361 |
45.7% |
Ford |
TOR |
470 |
1075 |
43.7% |
Williams |
UTA |
593 |
1472 |
40.3% |
Paul |
NOK |
431 |
1072 |
40.2% |
Kidd |
NJN |
593 |
1477 |
40.1% |
Calderon |
TOR |
317 |
796 |
39.8% |
Wade |
MIA |
362 |
937 |
38.6% |
Tinsley |
IND |
419 |
1114 |
37.6% |
Knight |
CHA |
191 |
523 |
36.5% |
Davis |
GSW |
402 |
1109 |
36.2% |
Miller |
DEN |
209 |
588 |
35.5% |
Cassell |
LAC |
256 |
739 |
34.6% |
McGrady |
HOU |
358 |
1057 |
33.9% |
Miller |
PHI |
312 |
949 |
32.9% |
Iverson |
PHI |
109 |
333 |
32.7% |
Watson |
SEA |
373 |
1144 |
32.6% |
Billups |
DET |
413 |
1278 |
32.3% |
Felton |
CHA |
452 |
1419 |
31.9% |
Williams |
NJN |
198 |
629 |
31.5% |
* Minimum 500 minutes
(T'Mate FGM is on court Team FGM - Player's own shots)
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So yes indeed Steve Nash is the tops in the league in terms of highest assisting percentage for teammate FGM while on court.
Portland's exciting import distributor (and beloved by TrueHoop) Sergio Rodriguez is giving Nash a run for the money though, albeit in far fewer minutes.
Then surprise! surprise! it's the Raptors T.J. Ford, hand picked by now GM of the Raptors Bryan Coangelo who came from Phoenix and has been modeling the Toronto rebirth to some extent on the the Suns "Nash Experiment".
Now at the very bottom of the list you get folks like:
1.7% - Mutombo
2.0% - Mourning, Mohammed
2.5% - Hunter, Diop
...and it's interesting to see the big men who pass well (Brad Miller 20%, Garnett 20%, Webber 17%, Duncan 17%, Nowitzki 17%) and the high scoring guys who don't (Amare 4.6%, Curry 4.5%, Blount 4.2%).
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Player Total FGM Activity
Now, this question also got us thinking about another slightly different version, which is what about a player's combined involvement in the on court team made baskets, aka
FGM Activity = (Player's FGM + Player's Assists) / On Court Team FGM
That view gives more credit to the guys who can score and dish as opposed to pure passers.
2006-07 Regular Season (thru 3/18)
Player |
Team |
Own FGM |
Ast |
Team FGM |
Active |
Nash |
PHO |
421 |
693 |
1902 |
58.6% |
Wade |
MIA |
445 |
362 |
1382 |
58.4% |
Ford |
TOR |
320 |
470 |
1395 |
56.6% |
McGrady |
HOU |
514 |
358 |
1571 |
55.5% |
Rodriguez |
POR |
70 |
165 |
431 |
54.5% |
Iverson |
PHI |
151 |
109 |
484 |
53.7% |
Williams |
UTA |
419 |
593 |
1891 |
53.5% |
Paul |
NOK |
295 |
431 |
1367 |
53.1% |
Calderon |
TOR |
219 |
317 |
1015 |
52.8% |
Davis |
GSW |
357 |
402 |
1466 |
51.8% |
Parker |
SAS |
476 |
344 |
1599 |
51.3% |
James |
CLE |
629 |
373 |
1961 |
51.1% |
Kidd |
NJN |
323 |
593 |
1800 |
50.9% |
Tinsley |
IND |
297 |
419 |
1411 |
50.7% |
Cassell |
LAC |
240 |
256 |
979 |
50.7% |
Iverson |
DEN |
297 |
248 |
1089 |
50.0% |
Bryant |
LAL |
613 |
344 |
1925 |
49.7% |
Anthony |
DEN |
535 |
194 |
1526 |
47.8% |
Knight |
CHA |
108 |
191 |
631 |
47.4% |
Williams |
NJN |
189 |
198 |
818 |
47.3% |
Carter |
NJN |
586 |
303 |
1901 |
46.8% |
J.Johnson |
ATL |
536 |
249 |
1691 |
46.4% |
Miller |
DEN |
117 |
209 |
705 |
46.2% |
Miller |
PHI |
228 |
312 |
1177 |
45.9% |
Arenas |
WAS |
572 |
378 |
2089 |
45.5% |
Arroyo |
ORL |
183 |
185 |
825 |
44.6% |
Felton |
CHA |
320 |
452 |
1739 |
44.4% |
Billups |
DET |
276 |
413 |
1554 |
44.3% |
Jasikevicius |
IND |
91 |
111 |
458 |
44.1% |
O'Neal |
MIA |
192 |
54 |
565 |
43.5% |
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From this view, you really get a better sense of the players who truly dominate the offense for a team, and Nash and D-Wade are a step above everyone else in the league, while prodigious scorers who also set up their teammates like T-Mac, Iverson, LeBron and Kobe also move up the leaderboard.
We get an interesting take on the notion of how much circumstances dictate player contributions by the Iverson-Andre Miller trade, as we can see that Andre Miller's activity level is virtually unchanged between the two teams, whereas A.I. has dropped slightly in the new digs, and will possibly drop more now he's playing consistently with Carmelo.
In regard to our two top players in this stat, one does wonder whether the 60% mark has been hit in the past, and surely it must have been with Chamberlain's 50 points per game season. In the 'modern era' though, maybe Stockton and Magic came close and Michael took a run at it (especially in his 37 pts per game year).
The next question is whether it's a good thing to have a player who is such a big part of the offense or whether a more balanced attack is preferable? Dallas players are conspicuously absent, and you'd have to go to #45 in the ranks to find the first Mav (Nowitzki).
On the other hand, if the season ended today, roughly 70% of the players in this list would be heading to the playoffs.
Maybe the Phoenix/Toronto strategy will be a trend!
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Do you have an idea for a cool "random stat" you would like to see? If so, drop us a line
NBA 2005-06 Random Stat Archive
Player Stat Leaders by Quarter (4/17)
Game Winning Shots (updated 4/13)
"Hot Hand" -- Streak Shooting (4/10)
Clutch Free Throw Shooting (4/05)
Stolen Passes (4/03)
Most Dunks (3/28)
Does the team scoring first in OT usually win? (3/27)
How often does bad FT% cost a team a win? (3/24)
Alley Oop Leaders (3/22)
Who get called for Traveling? (3/13)
Technical Free Throws (3/10)
Two Way Players (3/08)
Jump Ball winning % (3/07)
"At the Rim" Shots (3/05)
Team Quarter by Quarter results (2/23)
Points per FGA (2/21)
Player Assisted% on FGM (2/15)
Types of Turnovers (2/12)
Goaltending "Leaders" (2/10)
Shot Clock Studs (2/09)
Team Starter/Bench stats (2/07)
Free Throw shooting home versus away (2/04)
Who gets their shot blocked the most? (2/03)
Plus/Minus stats over the last 30 days (2/02)
What percentage of the time has each team been leading? (2/01)
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