Portland Trail Blazers '97-98

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A RECENT ESPNet poll asked whether one would rather build a franchise around 23 year-old Rasheed Wallace or 21 year-old Kevin Garnett. It closed with about 85% percent favoring Garnett.

Wallace has a reputation as a malcontent. Garnett does not. Wallace played on a good team that got very little press. Garnett got named to the All Star Team along with teammate Tom Gugliotta because his team did much better than expected. Wallace signed a contract extension for a measely $13M/year. Garnett turned down a contract worth $16M/year before signing for $20M/year.

At this point, the results of the ESPN poll, whether accurate or not, has been heavily influenced by what the media has told you.

Here are some facts:

Player G GS MPG FG% 3PT% FT% RPG APG STL BLK PPG
Wallace 65 51 27.5 0.487 0.329 0.650 4.7 1.3 42 54 10.1
Wallace 62 56 30.5 0.558 0.273 0.638 6.8 1.2 48 59 15.1
Totals: 127 107 29.0 0.526 0.313 0.642 5.7 1.5 90 113 12.5
Garnett 80 43 28.7 0.491 0.286 0.705 6.3 1.8 86 131 10.4
Garnett 77 77 38.9 0.499 0.286 0.754 8.0 3.1 105 163 17.0
Totals: 157 120 33.7 0.496 0.286 0.736 7.1 3.2 191 294 13.7
Player G FGM FGA FG% 3PM 3PA FTM FTA FT% PTS PPG
Wallace 65 275 565 0.487 27 82 78 120 0.650 655 10.1
Wallace 62 380 681 0.558 9 33 169 265 0.638 938 15.1
Totals: 127 655 1246 0.526 36 115 247 385 0.642 1593 12.5
Garnett 80 361 735 0.491 8 28 105 149 0.705 835 10.4
Garnett 77 549 1100 0.499 6 21 205 272 0.754 1309 17.0
Totals: 157 910 1835 0.496 14 49 310 421 0.736 2144 13.7
Player G MIN OFF DEF TOT AST PF DQ TO PTS HI
Wallace 65 1788 93 210 303 85 206 4 103 655 22
Wallace 62 1892 122 297 419 74 198 1 114 938 38
Totals: 127 3680 215 507 722 159 404 5 217 1593 38
Garnett 80 2293 175 326 501 145 189 2 110 835 33
Garnett 77 2995 190 428 618 236 199 2 175 1309 33
Totals: 157 5288 365 754 1119 381 388 4 285 2144 33

. Scor. Poss. Floor RTG Pts Offensive
Player Poss. . Pct. . Prod. Win% Wins Loss
Wallace 304 621 0.489 100.1 622 0.281 1.8 4.7
Wallace 434 765 0.567 110.3 843 0.797 6.6 1.7
Totals: 738 1386 0.532 105.7 1465 0.570 8.4 6.3
Garnett 404 781 0.517 102.8 803 0.312 2.6 5.7
Garnett 627 1201 0.522 103.9 1248 0.449 5.9 7.2
Totals: 1031 1982 0.520 103.5 2051 0.396 8.4 12.8
. Defensive Stops Def. Net Net Net
Player Total /Min /Poss Rtg. Win% W L
Wallace 333 0.186 0.469 106.0 0.280 1.9 5.0
Wallace 390 0.206 0.535 99.8 0.838 7.3 1.4
Totals: 723 0.196 103.4 0.591 9.2 6.4
Garnett 510 0.222 0.561 103.9 0.458 4.3 5.0
Garnett 650 0.217 0.564 101.6 0.592 7.8 5.4
Totals: 1160 0.219 102.5 0.537 12.1 10.4
...Beyond Facts...

Beyond the facts, we can guess about the future of these players or we try to predict it. Over the summer, a reader named Guy Tyler approached me with a method he developed for predicting the career of players. Though the method has helped Guy win his fantasy league three years in a row, it is nowhere near as advanced as any of us would like. Still, it gives us something to argue about...

The method projects the number of minutes played per game and something called PAR -- points plus assists plus rebounds -- per 48 minutes. It uses the stats from one year and a player's age to predict the next year. It doesn't explicitly predict the number of points a player will score or their turnovers or their assits.... you get the idea. It simply predicts PAR/48 with advancing age and that PAR/48 is meant as an approximate value of the player.

Guy demonstrated the method using Kevin Garnett and I will reproduce that here.

Kevin Garnett's Projected Future
Age Min/G PAR/48 PAR/G
19 28.7 31.0 18.5
20 38.9 34.7 28.1
21 38.1 36.3 28.8
22 37.5 37.6 29.4
23 37.0 38.6 29.8
24 36.6 39.4 30.0
25 36.1 39.8 29.9
26 35.5 39.9 29.4
27 34.7 39.6 28.6
28 33.7 39.0 27.3
29 32.4 38.1 25.7
30 30.9 36.8 23.7
31 29.1 35.4 21.5
32 27.1 33.6 19.0
33 24.7 31.7 16.4
34 22.1 29.7 13.7
35 19.3 27.5 11.1
36 16.3 25.3 8.6

Overall, these numbers are not particularly good. They don't approach those of some great players like Olajuwon, Drexler, Malone, or even the not-so-great Tom Chambers. Guy suggests that his method may not be accurate because he didn't develop the formulas using players like Garnett. That is certainly true -- there weren't many 19 year old rookies before Garnett -- but that doesn't allow us to dismiss the results completely.

Wallace better fits the profile of the method since he came into the league as a 21 year-old. The method predicts the following future for him:

Rasheed Wallace's Projected Future
Age MPG PAR/48 PAR/G
21 27.5 28.0 16.0
22 30.5 36.3 23.1
23 31.2 37.3 24.3
24 31.7 38.0 25.1
25 31.9 38.4 25.5
26 31.8 38.5 25.5
27 31.5 38.2 25.1
28 30.8 37.7 24.2
29 29.9 36.8 22.9
30 28.6 35.6 21.2
31 27.0 34.2 19.2
32 25.1 32.5 17.0
33 22.9 30.7 14.6
34 20.5 28.7 12.2
35 17.7 26.6 9.8
36 14.8 24.4 7.5
37 11.7 22.3 5.4
38 8.4 20.1 3.5

Basically, the method projects Wallace to be slightly less effective than Garnett over their careers. These sort of numbers justify the contracts that they received.

...But Is It Right?...

Despite the general conclusions of the method, I have two concerns. First of all, the method only marginally increases the accuracy of prediction over a fairly random estimate of a player's career projection. Second, the thing that it predicts -- PAR -- is not a great indicator of winning.

Finally, Wallace really is a much more polished offensive player than Garnett. He does not play defense as well and that is crucial for a center. But Wallace has offensive moves that he can go to in order to score. Garnett does not yet have this. He may not develop it either. In short, injuries and attitude aside, Wallace is a better player right now. In the long run, I don't know if those can be put aside.

...Final Perspective...

Neither of these guys are as good as Shaquille O'Neal, whose predicted future looked like this after his first two years:

Shaquille O'Neal's Predicted Future
After First Two Years
Age Min/G PAR/48 PAR/G
21 37.9 49.5 39.1
22 39.8 54.3 45.0
23 42.6 55.8 49.5
24 44.9 56.8 53.2
25 46.6 57.4 55.8
26 47.8 57.5 57.3
27 48.5 57.1 57.7
28 48.6 56.3 56.9
29 48.2 54.9 55.1
30 47.2 53.2 52.3
31 45.7 51.0 48.6
32 43.8 48.6 44.3
33 41.4 45.8 39.5
34 38.5 42.9 34.4
35 35.2 39.7 29.2
36 31.6 36.5 24.1
37 27.8 33.3 19.3
38 23.6 30.1 14.8

So why do they make as much money as O'Neal?