| NAME | POS | GP | MIN | WP48 | PoP48 | WINS | PTS | REB | AST | TO | BLK | STL | PF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Carlos Boozer | PF | 78 | 2673 | .205 | 3.3 | 11.41 | 27.3 | 15.7 | 4.4 | 3.8 | 0.6 | 1.5 | 4.8 |
| Ronnie Brewer | SG | 53 | 1662 | .191 | 2.9 | 6.63 | 14.5 | 5.2 | 4.4 | 1.5 | 0.4 | 2.5 | 2.3 |
| Kyrylo Fesenko | C | 49 | 408 | -.029 | -4.0 | -0.25 | 15.1 | 10.6 | 1.8 | 2.8 | 2.2 | 0.7 | 9.2 |
| Sundiata Gaines | PG | 32 | 217 | .121 | 0.7 | 0.55 | 23.4 | 6.4 | 8.6 | 3.1 | 0.0 | 2.7 | 3.8 |
| Othyus Jeffers | SG | 14 | 72 | .080 | -0.6 | 0.12 | 24.7 | 12.7 | 0.7 | 4.0 | 0.0 | 2.7 | 6.7 |
| Andrei Kirilenko | SF | 58 | 1681 | .266 | 5.2 | 9.33 | 19.6 | 7.5 | 4.5 | 2.3 | 2.0 | 2.4 | 2.9 |
| Kyle Korver | SF | 52 | 952 | .156 | 1.8 | 3.09 | 18.9 | 5.6 | 4.5 | 2.1 | 0.6 | 1.3 | 3.8 |
| Kosta Koufos | C | 36 | 172 | -.075 | -5.4 | -0.27 | 14.8 | 12.6 | 1.7 | 4.2 | 1.1 | 0.6 | 7.3 |
| Wesley Matthews | SG | 82 | 2025 | .133 | 1.1 | 5.63 | 18.2 | 4.5 | 2.9 | 2.2 | 0.4 | 1.5 | 3.6 |
| Eric Maynor | PG | 26 | 363 | -.002 | -3.1 | -0.01 | 17.7 | 5.0 | 10.7 | 3.7 | 0.3 | 1.7 | 4.4 |
| C.J. Miles | SF | 63 | 1497 | -.011 | -3.4 | -0.36 | 19.9 | 5.4 | 3.4 | 2.6 | 0.5 | 1.9 | 6.1 |
| Paul Millsap | PF | 82 | 2277 | .152 | 1.6 | 7.20 | 20.1 | 11.8 | 2.8 | 2.4 | 2.1 | 1.3 | 6.0 |
| Mehmet Okur | C | 73 | 2149 | .050 | -1.5 | 2.23 | 22.1 | 11.5 | 2.7 | 2.8 | 1.8 | 0.8 | 5.0 |
| Ronnie Price | PG | 60 | 806 | .039 | -1.9 | 0.66 | 15.2 | 4.4 | 7.3 | 3.3 | 0.8 | 2.4 | 6.5 |
| Deron Williams | PG | 76 | 2802 | .211 | 3.5 | 12.33 | 24.3 | 5.2 | 13.7 | 4.3 | 0.3 | 1.6 | 3.6 |
| Name | FG% | 2FG% | 3FG% | FT% | eFG% | TS% | FGA | 3FGA | FTA |
|---|---|---|---|---|---|---|---|---|---|
| Carlos Boozer | 56.2% | 56.2% | 0.0% | 74.2% | 56.2% | 59.9% | 19.7 | 0.0 | 6.9 |
| Ronnie Brewer | 49.5% | 51.4% | 25.8% | 63.3% | 50.5% | 53.0% | 12.0 | 0.9 | 3.7 |
| Kyrylo Fesenko | 54.7% | 55.3% | 0.0% | 42.1% | 54.7% | 53.3% | 11.2 | 0.1 | 6.7 |
| Sundiata Gaines | 46.3% | 55.4% | 26.9% | 50.0% | 50.6% | 51.8% | 18.1 | 5.8 | 10.2 |
| Othyus Jeffers | 41.4% | 41.4% | 0.0% | 68.4% | 41.4% | 49.5% | 19.3 | 0.0 | 12.7 |
| Andrei Kirilenko | 50.6% | 55.5% | 29.2% | 74.4% | 53.3% | 58.8% | 13.8 | 2.5 | 6.7 |
| Kyle Korver | 49.3% | 46.5% | 53.6% | 79.6% | 59.8% | 62.0% | 14.1 | 5.5 | 2.5 |
| Kosta Koufos | 46.8% | 46.8% | 0.0% | 60.0% | 46.8% | 49.4% | 13.1 | 0.0 | 4.2 |
| Wesley Matthews | 48.3% | 52.5% | 38.2% | 82.9% | 53.9% | 59.2% | 13.4 | 3.9 | 4.6 |
| Eric Maynor | 39.1% | 43.1% | 20.8% | 75.8% | 41.0% | 45.4% | 17.6 | 3.2 | 4.4 |
| C.J. Miles | 42.9% | 48.4% | 34.1% | 69.5% | 49.5% | 51.5% | 18.0 | 7.0 | 3.0 |
| Paul Millsap | 53.8% | 54.3% | 11.1% | 69.3% | 53.8% | 57.3% | 15.1 | 0.2 | 5.6 |
| Mehmet Okur | 45.8% | 48.6% | 38.5% | 82.0% | 51.1% | 56.1% | 17.3 | 4.8 | 5.3 |
| Ronnie Price | 40.5% | 44.7% | 28.6% | 69.5% | 44.2% | 47.6% | 14.4 | 3.8 | 3.5 |
| Deron Williams | 46.9% | 50.1% | 37.1% | 80.1% | 51.5% | 57.4% | 18.0 | 4.4 | 7.2 |
| WP48 | WINS | PTS | DRB | ORB | TRB | AST | TO | BLK | STL | PF | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| UTH | 0.083 | 58.3 | 104.2 | 31.6 | 10.6 | 42.2 | 26.7 | 15.2 | 4.9 | 8.2 | 22.7 |
| AVG | 0.500 | 41.0 | 100.4 | 30.8 | 11.0 | 41.7 | 21.2 | 14.2 | 4.9 | 7.2 | 20.9 |
| OPP | 0.917 | 23.7 | 98.9 | 29.0 | 10.2 | 39.2 | 19.9 | 15.1 | 5.4 | 7.7 | 22.2 |
| AVGOPP | 0.500 | 41.0 | 100.4 | 30.8 | 11.0 | 41.7 | 21.2 | 14.2 | 4.9 | 7.2 | 20.9 |
| FG% | 2FG% | 3FG% | FT% | eFG% | TS% | FGA | 3FGA | FTA | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| UTH | 49.1% | 51.9% | 36.4% | 74.1% | 52.4% | 56.5% | 80.2 | 14.7 | 27.2 | ||
| AVG | 46.1% | 49.2% | 35.5% | 75.9% | 50.1% | 54.3% | 81.7 | 18.1 | 24.5 | ||
| Expected* | Actual | Forecast** |
|---|---|---|
| 58.3-23.7 | 53-29 | n/a |
* The win-loss record that wins produced would have predicted based on players' WP48 so far (ignores previous seasons).
** future games only -- takes current record as given
I ran out of time. Soon, I will be far too busy screaming at a blank screen that should be showing me a game on League Pass Broadband to do any more season previews (and they aren't previews anymore then, right?). But still, I haven't really covered all the surprises, so here are a few quick hits.
The NBA Season is ready to start on Christmas Day, the last couple of preseason games are being played as I write this up, and it's time for me to cater to every serious NBA fans love of season previews! The 2011 Geektastic Preview is going to be way too large for one article, so I'm dividing it up into divisions (and even so, it's going to be long, so get a cup of coffee!). I start things off today with the Northwest Division, from worst to first.
The NBA Season is ready to start on Christmas Day, the last couple of preseason games are being played as I write this up, and it's time for me to cater to every serious NBA fans love of season previews! The 2011 Geektastic Preview is going to be way too large for one article, so I'm dividing it up into divisions (and even so, it's going to be long, so get a cup of coffee!). In this article I'm going to preview the Utah Jazz.
As with part 1 (which you can read here), I'm calling them guesses, not predictions, because this way if I'm completely wrong, I won't look as stupid. Will I do something as crazy as amnestying Kobe freaking Bryant again today?
The one time of the year when everyone seems to enjoy giving out grades is after the NBA Draft. More than any other sport, fans seem to place faith (or, in the case of some GMs, at least hope) that the draft can change their team's fortunes. I suppose this is because is because basketball is played with 5 players, so any player influences (approximately) 20% of your team's production at any given time on the court, while baseball fields 9 (10 if you count the DH) and football 11. And of course, football and baseball rosters are much bigger, and they draft more players, so a far smaller percentage of drafted players actually make the roster. In the NBA, in contrast, the 1st round picks have guaranteed contracts, and as the book Stumbling on Wins points out, playing time is highly correlated to draft position and salary. In other words, once owners and managers shell out a lot of money for a prospect, they are reluctant to give up on that prospect.
