Archives For Jackson Rudd

Spurs 106 – Jazz 102

Jackson Rudd —  February 21, 2012 — 1 Comment

(AP Photo/Jim Urquhart)

San Antonio Spurs 106  

Final

Recap | Box Score

102 Utah Jazz
Josh Howard, SF

29 MIN | 4-8 FG | 4-4 FT | 7 REB | 1 AST | 12 PTS | 0

I was admittedly very apprehensive to see Josh Howard in the starting lineup again, but he responded with one of the best games he’s played since his injury. His handle continues to be a source of hilarity, but his steal at the end of the fourth quarter gave the Jazz one last gasp.

Paul Millsap, PF

36 MIN | 6-17 FG | 4-6 FT | 11 REB | 0 AST | 16 PTS | +1

This was the tale of two halves for Paul. In the first half, we wondered where Utah’s fearless leader had gone. He wasn’t just missing shots; he was playing out of control. Millsap’s charm is that he plays like he has been there, and that is definitely not what he was doing in the first half. In the second half, he seemed to find himself again by hitting the boards hard and getting to the free throw line again. He showed good resilience, but still wasn’t the dominant Millsap we were used to watching a couple of weeks ago.

Al Jefferson, C

38 MIN | 10-19 FG | 0-1 FT | 11 REB | 2 AST | 20 PTS | -1

It’s really too bad that when I think of this game from Al, I’ll probably remember that brick of a jump shot he took with a chance to tie the game with a minute left. That said, he played a good game. His recent surge of steals per game is very encouraging, though what would really help out the Jazz is if he could start getting to the free throw line more.

Devin Harris, PG

30 MIN | 6-8 FG | 1-1 FT | 1 REB | 4 AST | 15 PTS | +6

Devin Harris’s play inspired all sorts of adjectives that I wouldn’t have believed a few weeks ago. He made some mistakes, but the guy was playing hard. He had confidence and he was pushing the ball up the floor with purpose. When he came off that high screen and hit a jumper with two minutes left, I wasn’t even surprised. I can’t believe these words are coming out of my mouth, but, but… I think I believe in Devin Harris again.

Gordon Hayward, SG

28 MIN | 3-7 FG | 2-2 FT | 1 REB | 3 AST | 8 PTS | -5

Two fouls in the first three minutes doomed Gordon to one of those 8 point games and we all knew it as soon as it happened. When he gets in foul trouble early, all bets are off.

Earl Watson, PG

18 MIN | 0-3 FG | 2-2 FT | 1 REB | 3 AST | 2 PTS | -11

Jazz Nation’s hero of January is now shooting 11 for 43 from the field in February. There is no way that his ankle is 100%. Hopefully, the All Star break will give him a chance to rest it and get his shot back. He played better than 3 assists would indicate tonight, however, as the stat was victimized by some missed dunks and layups.

C.J. Miles, SF

23 MIN | 5-10 FG | 2-2 FT | 2 REB | 1 AST | 13 PTS | +1

C.J. Miles put up a nice line tonight, but he put his ceiling at a B- in the second quarter. The Jazz were on an 8-2 run to go up 40-32 with about nine minutes left and the crowd was all the way in. It looked like the Jazz had a chance to start building a cushion until Miles cranked consecutive terrible three-pointers that took the crowd out of the game and got the Spurs back in it.

Derrick Favors, FC

12 MIN | 1-3 FG | 3-4 FT | 0 REB | 1 AST | 5 PTS | -5

It’s hard to understand how someone as long and athletic as Favors could be on the floor an entire cumulative quarter without getting a rebound. 1-3 shooting nights will happen for a backup power forward, but look at his rebound regression each month: 8.5 in December, 5.4 in January, and 3.7 in February. Part of that is because he plays alongside Enes Kanter, who turns into a crazy, wild animal whenever the ball hits the rim, but part of that has to fall on him as well.

Alec Burks, G

17 MIN | 3-6 FG | 1-1 FT | 3 REB | 2 AST | 7 PTS | -4

In a 15 second span in the second quarter, Burks crashed the offensive glass and rebounded a missed jumper by Kanter, missed the putback, stayed with it, and converted the layup. Then, as soon as Daniel Green crossed midcourt, Burks ruthlessly picked his pocket clean and ran the ball back for a vicious dunk. It was an incredible combination of athleticism, basketball IQ, and hustle. He gives us peeks into the long-term potential of the Jazz in a more stunning way than anyone else.

Enes Kanter, F

10 MIN | 2-3 FG | 0-0 FT | 4 REB | 0 AST | 4 PTS | -2

Strangely enough, a 19-year-old is turning into one of the most consistent players on the Jazz. In very limited action, Kanter has put up at least 4 points and 4 rebounds a game for 8 games in a row despite only getting between 10-20 minutes a game. Plus, he played Duncan as tight as you could expect.

Two Things We Saw

  1. Different verse, same tune. The Jazz kept pace with a more experienced Western Conference powerhouse until a lack of big plays down the stretch put the game just an inch out of reach. At this point in the season, we could all see it happening before it was realized.
  2. The Jazz fall below .500 for the first time since January 2nd, with 7 of the next 9 still coming on the road. By the time that 5-game road trip is over, we’ll have a much clearer idea of what the story of the season will be.

At some point over the past few years, point-differential started mattering. [Editor's note: On a very basic level, i.e. deciding who won the game, point differential has always mattered. But we get what Jackson is saying. Also, here's an advanced stats primer and a reference guide for all the advanced stat formulas, if you like those kinds of things.]

Coinciding with John Hollinger’s rise in public perception at ESPN, regular fans and statisticians alike now love to reference point-differential as a means for predicting anything in the NBA. You can find arguments that margin of victory is a better indicator of a team’s anticipated playoff success than win-loss record, that point-differential is the most central factor of a team’s future record, and even that the statistic is the best predictor of the eventual NBA champion.

As a fan of the 2011-2012 Utah Jazz, this is a decidedly bad thing. The Jazz are currently 20th in the league in point differential, scoring 95.6 points per game and giving up 97.1, for a difference of -1.5 points per game. [Editor's note: Mercifully, the Jazz are nowhere near the abysmal performance of the Charlotte Bobcats, who are outscored by 14 points per game, on average.]

One glance at the NBA standings will show you that point-differential is something the Jazz would rather not talk about (though they would talk about it a hundred times before mentioning Monday’s shameful, awful, absurd loss to the short-handed, disowned, and hopeless New Orleans Hornets… not that I’m still bitter about it.) NBA statisticians have seen that number in the red for the majority of the season and have accordingly been prophesying the downfall of this season’s Jazz team for weeks now.

At this point, with the Jazz only 2-7 in February, I begrudgingly admit that the numbers so far show them to be validated.

Despite having an average strength of schedule, a 14-14 record, and boasting wins over six of the top ten other teams in the Western Conference, that little -1.5 in the red results in ESPN predicting that the Jazz only have a 15.6 percent chance of sneaking into the playoffs this year.

Thankfully, this isn’t college football, where nothing more substantial than style points [and probably shady back-room deals] provide the final say on whether a team is worthy of advancement or not. Still, it is ridiculous to say that the Jazz are doomed because they have averaged scoring a half point less than their opponents. Mind you, that is cumulatively 11 fewer points scored than their opponents. When you remove the first two games of this season—in which the Jazz lost by a cumulative 42 points–the Jazz are suddenly 31 points above their opponents, rocking a +1.24 margin of victory across the past 25 games (well, up until the Oklahoma City game on Tuesday).

From a statistical prognostication standpoint, the Jazz dug themselves a huge hole in those first two games of the season. If they had lost both of those games by just a point each instead, would they really be that different of a team at this point? Would they really be that much more likely to make the playoffs?

Maybe I’m just playing the apologist because the advanced basketball statistical stars are currently lined up against the Jazz. I’d like to think that if they don’t make the playoffs this year it isn’t because they got blown out in some early, fairly insignificant games. I want it to be because of basketball reasons, like they couldn’t crack a zone defense when they needed to or because they weren’t able to keep the opponent out of the paint in the fourth quarter. At the same time, if this season turns into a wild success, I don’t want it to be a victory for the predictive power of point-differentials–I want it to be because Alec Burks developed into an efficient, confident scorer from the bench, Gordon Hayward learned to get all of his shots within the flow of the offense, and because Earl Watson was always willing to splurge for a technical foul when he thought the team’s fire was getting a little low.

I’m not entirely sure what legitimate case there is to made against point-differential as an integral NBA stat; for all I know, the law of large numbers could be in play here and it could have a really strong correlation with team success. All I’m certain of is that this isn’t a team we can count out yet, despite the last couple of disastrous losses. I haven’t seen the Jazz put up many style points this season, but I have seen them play with a lot of heart.