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Good goals and bad goals
Posted: Tuesday October 02, 2001 4:11 PM
By Marc Foster and Chris Apple, Special to CNNSI.com
Scoring has always been recorded in the simplest fashion possible. Someone gets the goal, a player or two gets an assist, and from there we move on. There's traditionally been only two ways to measure this: the straight tally (Pavel Bure scored 59 goals last season), and dividing that tally by the number of games played (playing 82 games, he averaged 0.72 goals/game).
But we can do better.
If goals (or assists, or points) per game are being used as the traditional measure of scoring effectiveness, wouldn't breaking this down by ice time be better? After all, not everybody actually plays the same amount within a given game. Top defensemen are on the ice for up to 30 minutes, while top forwards may log between 18 and 23 minutes. Not only would ice time be comparing apples to apples, but it would allow us to further subdivide the analysis into even strength and power play situations.
First we'll start with minutes per goal. Let's start with the top ten goal scorers from the 2000-01 season.
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| Top goal scorers |
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2000-01 season stats
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| No. |
Player |
Team |
GP |
TOI |
Goals |
G/GP |
| 1 |
Pavel Bure |
Fla |
82 |
2203 |
59 |
0.72 |
| 2 |
Joe Sakic |
Col |
82 |
1887 |
54 |
0.66 |
| 3 |
Jaromir Jagr |
Pit |
81 |
1888 |
52 |
0.64 |
| 4 |
Peter Bondra |
Wsh |
82 |
1705 |
45 |
0.55 |
| 5 |
Alexei Kovalev |
Pit |
79 |
1862 |
44 |
0.56 |
| 6 |
Alexander Mogilny |
N.J. |
75 |
1266 |
43 |
0.57 |
| 7 |
Markus Naslund |
Van |
72 |
1371 |
41 |
0.57 |
| 8 |
Milan Hedjuk |
Col |
80 |
1589 |
41 |
0.51 |
| 9 |
Jeff O'Neill |
Car |
82 |
1503 |
41 |
0.50 |
| 10 |
Patrik Elias |
N.J. |
82 |
1535 |
40 |
0.49 |
GP -- Games played
TOI -- Time on ice
G -- Goals
G/GP -- Goals per games played
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With a few exceptions, most of the leading scorers played in every or nearly every game this season (logically, the more games, the more goals). What this does, however, is force goals-per-game to become a simple extension of goals, since the denominator stays nearly the same in all situations.
But now let's look at it compared to the minutes played. Bure, forced to carry the offensive burden for the Panthers, racked up about 16 percent more minutes than any of the other top scorers. He averaged nearly 27 minutes a game. At that rate, that amounts to more than 11 extra games. If you ranked the top 22 goal scorers by min/goal, he comes in ninth.
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Scoring efficiency among players with 35 or more goals |
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2000-01 season stats
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| No. |
Player |
Team |
GP |
TOI |
Goals |
Min./G |
| 1 |
Alexander Mogilny |
N.J. |
75 |
1266 |
43 |
29.45 |
| 2 |
Mario Lemieux |
Pit |
43 |
1046 |
35 |
29.90 |
| 3 |
Markus Naslund |
Van |
72 |
1371 |
41 |
33.44 |
| 4 |
Joe Sakic |
Col |
82 |
1887 |
54 |
34.95 |
| 5 |
Brett Hull |
Dal |
79 |
1413 |
39 |
36.23 |
| 6 |
Jaromir Jagr |
Pit |
81 |
1888 |
52 |
36.31 |
| 7 |
Jeff O'Neill |
Car |
82 |
1503 |
41 |
36.68 |
| 8 |
Petr Sykora |
N.J. |
73 |
1294 |
35 |
36.99 |
| 9 |
Pavel Bure |
Fla |
82 |
2203 |
59 |
37.34 |
| 10 |
Peter Bondra |
Wsh |
82 |
1705 |
45 |
37.90 |
GP -- Games Played
TOI -- Time on ice
G -- Goals
Min/G -- Minutes per goal
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Probably the first thing you notice is that Mario Lemieux jumps out. Tied for 19th in goals scored, he ranks second in efficiency. There is a good chance this season that with a limited schedule he'll end up in a similar situation as well.
Of course, we should not take away from the leader, Alexander Mogilny. Both he and Lemieux need about three to four fewer minutes to score goals than anyone else.
Now let's perform the same exercise using points. First the top ten scorers:
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| Top point scorers |
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2000-01 season stats
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| No. |
Player |
Team |
GP |
Pts. |
Pts./GP |
| 1 |
Jaromir Jagr |
Pit |
81 |
121 |
1.49 |
| 2 |
Joe Sakic |
Col |
82 |
118 |
1.44 |
| 3 |
Patrik Elias |
N.J. |
82 |
96 |
1.17 |
| 4 |
Alexei Kovalev |
Pit |
79 |
95 |
1.20 |
| 5 |
Jason Allison |
Bos |
82 |
95 |
1.16 |
| 6 |
Martin Straka |
Pit |
82 |
95 |
1.16 |
| 7 |
Pavel Bure |
Fla |
82 |
92 |
1.12 |
| 8 |
Doug Weight |
Edm |
82 |
90 |
1.10 |
| 9 |
Zigmund Palffy |
L.A. |
73 |
89 |
1.22 |
| 10 |
Peter Forsberg |
Col |
73 |
89 |
1.22 |
GP -- Games played
Pts. -- Points
Pts./GP -- Points per game played
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Then the top ten by efficiency:
| |
| Most efficient scorers |
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2000-01 season stats (minimum 79 points)
|
| No. |
Player |
Team |
GP |
TOI |
Pts. |
Min./Pt. |
| 1 |
Alexander Mogilny |
N.J. |
75 |
1266 |
83 |
15.26 |
| 2 |
Jaromir Jagr |
Pit |
81 |
1888 |
121 |
15.60 |
| 3 |
Petr Sykora |
N.J. |
73 |
1294 |
81 |
15.99 |
| 4 |
Patrik Elias |
N.J. |
82 |
1535 |
96 |
15.99 |
| 5 |
Joe Sakic |
Col |
82 |
1887 |
118 |
16.00 |
| 6 |
Zigmund Palffy |
L.A. |
73 |
1443 |
89 |
16.22 |
| 7 |
Peter Forsberg |
COL |
73 |
1517 |
89 |
17.05 |
| 8 |
Luc Robitaille |
L.A. |
82 |
1533 |
88 |
17.43 |
| 9 |
Brett Hull |
Dal |
79 |
1413 |
79 |
17.89 |
| 10 |
Pierre Turgeon |
Stl |
79 |
1487 |
82 |
18.14 |
GP -- Games Played
TOI -- Time on ice
Pts. -- Points
Min./Pt. -- Minutes per point
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In the offseason, Toronto and Washington picked up the two most efficient scorers in the league with Mogilny and Jagr. The Red Wings picked up two from the top ten.
Now, what happens if we look only at points scored during even strength situations? Beyond the obvious rankings, one notices the synergy within certain scoring lines. It becomes more obvious when you look at a top 25 list (which we have posted at our Web Site, see the link below).
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| Most efficient scorers in Even Strength Situations |
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2000-01 season stats
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| No. |
Player |
Team |
GP |
TOI |
Pts. |
Min./Pt. |
| 1 |
Mario Lemieux |
Pit |
43 |
711 |
43 |
16.53 |
| 2 |
Jaromir Jagr |
Pit |
81 |
1350 |
78 |
17.31 |
| 3 |
Patrik Elias |
N.J. |
82 |
1108 |
64 |
17.32 |
| 4 |
Jason Arnott |
N.J. |
54 |
705 |
40 |
17.65 |
| 5 |
Petr Sykora |
N.J. |
73 |
953 |
54 |
17.66 |
| 6 |
Pavol Demitra |
Stl |
44 |
606 |
34 |
17.84 |
| 7 |
Alexander Mogilny |
N.J. |
75 |
1055 |
54 |
19.54 |
| 8 |
Joe Sakic |
Col |
82 |
1329 |
66 |
20.14 |
| 9 |
Petr Nedved |
NYR |
79 |
1165 |
56 |
20.82 |
| 10 |
Mike Modano |
Dal |
81 |
1183 |
56 |
21.13 |
GP -- Games Played
TOI -- Time on ice
Pts. -- Points
Min./Pt. -- Minutes per point
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Now, in most cases this is a statistical measure biased towards forwards. But when you look at power play efficiency, you finally start to notice some defensemen, though none cracked the top ten (Nicklas Lidstrom topped out at 14th).
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| Most efficient scorers in Power Play Situations |
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2000-01 season stats
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| No. |
Player |
Team |
GP |
PPTOI |
Pts. |
Min./Pt. |
| 1 |
Alexander Mogilny |
N.J. |
75 |
201 |
29 |
6.94 |
| 2 |
Joe Sakic |
Col |
82 |
392 |
46 |
8.54 |
| 3 |
Adam Oates |
Wsh |
81 |
359 |
42 |
8.56 |
| 4 |
Patrik Elias |
N.J. |
82 |
250 |
29 |
8.63 |
| 5 |
Zigmund Palffy |
L.A. |
73 |
345 |
40 |
8.63 |
| 6 |
Mario Lemieux |
Pit |
43 |
279 |
32 |
8.72 |
| 7 |
Sergei Fedorov |
Det |
75 |
323 |
37 |
8.75 |
| 8 |
Chris Drury |
Col |
71 |
274 |
30 |
9.14 |
| 9 |
Peter Forsberg |
Col |
73 |
329 |
36 |
9.16 |
| 10 |
Brendan Shanahan |
Det |
81 |
331 |
36 |
9.21 |
GP -- Games Played
PPTOI -- Power Play Total Ice Time
Pts. -- Points
Min./Pt. -- Minutes per Point
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For what itšs worth, Robitaille was 11th and Hull 25th, so the Red Wings already potent power play looks to be getting stronger and deeper.
So who's the best scorer? Hard to say, but at least wešve got a new way to look at it.
Marc Foster is a research analyst in Fort Worth, Texas. Chris Apple is a database analyst/Internet specialist in Lincoln, Neb. Together, they operate
HockeyResearch.com, and hope to one day elevate statistical research in hockey to the level seen in other sports.
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