The NCAA accused the University of North Carolina football program of violating NCAA rules. This seems to be the common theme this summer, so let's take a look at UNC's football program over the last three years - in terms of their offense, defense and total productivity.
On the defensive side of the ball, North Carolina is a very good team. Their defensive rankings out of the 120 FBS teams are 40th in 2008, 10th in 2009 and 23rd in 2010, even with the number of suspensions that occurred on their team. North Carolina's problem is on offense. None of the three years did North Carolina finish in the top half of the rankings on offense. In 2008 the offense was 65th, 2009 they fell to 84th and bounced back in 2010 to be 64th overall. Hence, while North Carolina is an excellent defensive team - to be expected under Butch Davis, their overall performance suffers from the other side. To be clear, UNC finished - in my production model - as the 54th best team in 2008, 33rd best team in 2009 and 43rd best team in 2010.
Wednesday, June 29, 2011
Friday, June 24, 2011
NHL 2010-2011 Regular Season Goalie Evaluation
At the NHL All-Star Break I posted on the evaluation of NHL goalies, along with a brief discussion as to how I am evaluating NHL goalies based on a paper David Berri and I published in 2010. So, now I have picked up the evaluation process again and done the regular season final analysis. In order to compare the NHL All-Star numbers with the final regular season numbers, I am using the same coefficient (in absolute value) of a goal against. The number is most likely different and this will tweak the WAA number, but the ranking of goalies will all remain the same, since I am multiplying each goalie's actual save percentage minus the average save percentage times the number of shots the goalie faced by the exact same number. Thus if the coefficient changes, this will not change the relative rank in terms of our measure of productivity, but does change their total number. Hence changing the coefficient just shifts up/down all the WAA's by the same amount.
So, with this caveat out of the way, we see that the best goalie in the NHL's regular season last year was Tim Thomas. In fact, Tim Thomas's performance last year ranks him as 8th best in regular season performance since 1997-1998 (the earliest the data is posted on nhl.com).
Here is the entire list for you to look over.
So, with this caveat out of the way, we see that the best goalie in the NHL's regular season last year was Tim Thomas. In fact, Tim Thomas's performance last year ranks him as 8th best in regular season performance since 1997-1998 (the earliest the data is posted on nhl.com).
Here is the entire list for you to look over.
| PLAYER | TEAM | WAA |
| Tim Thomas | BOS | 5.038 |
| Pekka Rinne | NSH | 3.611 |
| Roberto Luongo | VAN | 2.935 |
| Cam Ward | CAR | 2.661 |
| Carey Price | MTL | 2.406 |
| Henrik Lundqvist | NYR | 2.202 |
| Ilya Bryzgalov | PHX | 1.910 |
| Jonas Hiller | ANA | 1.838 |
| Tomas Vokoun | FLA | 1.770 |
| Antti Niemi | SJS | 1.372 |
| Cory Schneider | VAN | 1.274 |
| James Reimer | TOR | 1.019 |
| Marc-Andre Fleury | PIT | 0.987 |
| Semyon Varlamov | WSH | 0.934 |
| Jonathan Quick | LAK | 0.924 |
| Braden Holtby | WSH | 0.776 |
| Corey Crawford | CHI | 0.704 |
| Ryan Miller | BUF | 0.678 |
| Brent Johnson | PIT | 0.610 |
| Niklas Backstrom | MIN | 0.540 |
| Al Montoya | NYI | 0.526 |
| Tuukka Rask | BOS | 0.491 |
| Martin Biron | NYR | 0.477 |
| Martin Gerber | EDM | 0.475 |
| Ray Emery | ANA | 0.395 |
| Cedrick Desjardins | TBL | 0.385 |
| Devan Dubnyk | EDM | 0.381 |
| Sergei Bobrovsky | PHI | 0.358 |
| Jose Theodore | MIN | 0.332 |
| Kevin Poulin | NYI | 0.323 |
| Brian Boucher | PHI | 0.311 |
| Anton Khudobin | MIN | 0.277 |
| Kari Lehtonen | DAL | 0.252 |
| Ondrej Pavelec | ATL | 0.211 |
| Dwayne Roloson | NYI, TBL | 0.197 |
| Joey MacDonald | DET | 0.170 |
| Michal Neuvirth | WSH | 0.159 |
| Anders Lindback | NSH | 0.135 |
| Alex Stalock | SJS | 0.087 |
| Alex Auld | MTL | 0.047 |
| Matt Climie | PHX | 0.045 |
| Richard Bachman | DAL | 0.039 |
| Craig Anderson | COL, OTT | 0.020 |
| Jonathan Bernier | LAK | 0.008 |
| Johan Hedberg | NJD | -0.076 |
| Jacob Markstrom | FLA | -0.087 |
| Mark Dekanich | NSH | -0.091 |
| Michael Leighton | PHI | -0.095 |
| David LeNeveu | CBJ | -0.106 |
| Chad Johnson | NYR | -0.116 |
| Mike McKenna | NJD | -0.123 |
| Andrew Raycroft | DAL | -0.142 |
| Scott Clemmensen | FLA | -0.174 |
| Peter Mannino | ATL | -0.207 |
| Henrik Karlsson | CGY | -0.212 |
| Henrik Karlsson | CGY | -0.212 |
| Jason LaBarbera | PHX | -0.228 |
| Jhonas Enroth | BUF | -0.246 |
| Thomas McCollum | DET | -0.255 |
| Ben Bishop | STL | -0.258 |
| Chris Osgood | DET | -0.326 |
| Mike Brodeur | OTT | -0.372 |
| Patrick Lalime | BUF | -0.413 |
| Timo Pielmeier | ANA | -0.438 |
| Jaroslav Halak | STL | -0.485 |
| Robin Lehner | OTT | -0.491 |
| Mikko Koskinen | NYI | -0.521 |
| Nathan Lawson | NYI | -0.535 |
| Mike Smith | TBL | -0.886 |
| Jimmy Howard | DET | -0.990 |
| Jean-Sebastien Giguere | TOR | -1.109 |
| Antero Niittymaki | SJS | -1.150 |
| Mathieu Garon | CBJ | -1.168 |
| Curtis McElhinney | ANA, OTT | -1.268 |
| Marty Turco | CHI | -1.406 |
| Martin Brodeur | NJD | -1.437 |
| Justin Peters | CAR | -1.439 |
| Miikka Kiprusoff | CGY | -1.475 |
| Jonas Gustavsson | TOR | -1.571 |
| Dan Ellis | TBL, ANA | -1.795 |
| Steve Mason | CBJ | -2.028 |
| Chris Mason | ATL | -2.040 |
| Ty Conklin | STL | -2.055 |
| Rick DiPietro | NYI | -2.302 |
| Peter Budaj | COL | -2.444 |
| Brian Elliott | OTT, COL | -3.416 |
| Nikolai Khabibulin | EDM | -3.521 |
Wednesday, June 22, 2011
Nevada Football Head Coach Contract Extension
The University of Nevada'a head football coach Chris Auld received a two year contract extension. So exactly how has the Wolfpack performed on the field over the last three years? On the offensive side of the ball - outstanding! In 2008 Nevada finished as the 14th best offense among the 120 NCAA FBS teams. Not to be outdone, Nevada in 2009 was the 4th best offense and then slipped just a tiny bit to finish as the 6th best offense in 2010. In other words, there are very few teams that had as good an offense as Nevada's in any of those three years, let alone have performed that well all three years. Not enough is said about the performance of Nevada on the offensive side of the ball.
Defense, well they are getting better. Then again Nevada finished as the 101st best defense (or 20th worst defense) in 2008. Nevada slightly improved to 94th best in 2009 and then really made a jump to 38th in 2010. The 2010 performance on the defense side of the ball put them in the top third of all FBS teams.
In terms of overall performance, Nevada was the 35th best team in 2008, 28th best in 2009 and jumped to 10th best team overall in 2010. This is truly a team on the rise (not that they have much farther to go with there 2010 performance).
Defense, well they are getting better. Then again Nevada finished as the 101st best defense (or 20th worst defense) in 2008. Nevada slightly improved to 94th best in 2009 and then really made a jump to 38th in 2010. The 2010 performance on the defense side of the ball put them in the top third of all FBS teams.
In terms of overall performance, Nevada was the 35th best team in 2008, 28th best in 2009 and jumped to 10th best team overall in 2010. This is truly a team on the rise (not that they have much farther to go with there 2010 performance).
Saturday, June 18, 2011
2011-2012 NCAA FBS Bowl Schedule
ESPN has posted the 2011-12 bowl schedule. Last year the NCAA FBS production model went 24-11 for the bowl season. I plan to continue working on the production model and see if I can make it more accurate. Over the next few months I hope to have some time to look this over some more. I have been working on this model lately for a paper I am presenting at the end of the month. I am using three years of data, as opposed to only the current season, as I did for the model results presented in this blog.
Oh, here is the schedule in case the link goes dead.
Oh, here is the schedule in case the link goes dead.
| Bowl | Location | Date/Time | Network |
|---|---|---|---|
| New Mexico MWC vs. Pac-12 | Albuquerque, N.M. University Stadium | Dec. 17 2 p.m. | ESPN |
| uDrove Humanitarian MAC vs. WAC | Boise, Idaho Bronco Stadium | Dec. 17 5:30 p.m. | ESPN |
| R+L Carriers New Orleans C-USA vs. Sun Belt | New Orleans Louisiana Superdome | Dec. 17 9 p.m. | ESPN |
| Beef 'O' Brady's St. Petersburg Big East vs. C-USA | St. Petersburg, Fla. Tropicana Field | Dec. 20 8 p.m. | ESPN |
| S.D. County Credit Union Poinsettia MWC vs. WAC | San Diego Qualcomm Stadium | Dec. 21 8 p.m. | ESPN |
| MAACO Las Vegas MWC vs. Pac-12 | Las Vegas Sam Boyd Stadium | Dec. 22 8 p.m. | ESPN |
| Sheraton Hawaii C-USA vs. WAC | Honolulu Aloha Stadium | Dec. 24 8 p.m. | ESPN |
| AdvoCare V100 Independence ACC vs. MWC | Shreveport, La. Independence Stadium | Dec. 26 5 p.m. | ESPN2 |
| Little Caesars Big Ten vs. MAC | Detroit Ford Field | Dec. 27 4:30 p.m. | ESPN |
| Belk ACC vs. Big East | Charlotte, N.C. Bank of America Stadium | Dec. 27 8 p.m. | ESPN |
| Military Bowl Presented By Northrop Grumman ACC vs. Navy | Washington, D.C. RFK Stadium | Dec. 28 4:30 p.m. | ESPN |
| Bridgepoint Education Holiday Big 12 vs. Pac-12 | San Diego Qualcomm Stadium | Dec. 28 8 p.m. | ESPN |
| Champs Sports ACC vs. Big East | Orlando, Fla. Florida Citrus Bowl | Dec. 29 5:30 p.m. | ESPN |
| Valero Alamo Big 12 vs. Pac-12 | San Antonio Alamodome | Dec. 29 9 p.m. | ESPN |
| Bell Helicopter Armed Forces BYU vs. C-USA | Dallas Gerald J. Ford Stadium | Dec. 30 Noon | ESPN |
| New Era Pinstripe Big 12 vs. Big East | Bronx, N.Y. Yankee Stadium | Dec. 30 3:20 p.m. | ESPN |
| Franklin American Mortgage Music City ACC vs. SEC | Nashville, Tenn. LP Field | Dec. 30 6:40 p.m. | ESPN |
| Insight Big Ten vs. Big 12 | Tempe, Ariz. Sun Devil Stadium | Dec. 30 10 p.m. | ESPN |
| Meineke Car Care of Texas Big Ten vs. Big 12 | Houston Reliant Stadium | Dec. 31 Noon | ESPN |
| Hyundai Sun ACC vs. Pac-12 | El Paso, Texas Sun Bowl | Dec. 31 2 p.m. | CBS |
| AutoZone Liberty C-USA vs. SEC | Memphis, Tenn. Liberty Bowl | Dec. 31 3:30 p.m. | ABC |
| Kraft Fight Hunger Army vs. Pac-12 | San Francisco AT&T Park | Dec. 31 3:30 p.m. | ESPN |
| Chick-fil-A ACC vs. SEC | Atlanta Georgia Dome | Dec. 31 7:30 p.m. | ESPN |
| TicketCity Big Ten vs. C-USA | Dallas Cotton Bowl | Jan. 2 Noon | ESPNU |
| Outback Big Ten vs. SEC | Tampa, Fla. Raymond James Stadium | Jan. 2 1 p.m. | ABC |
| Capital One Big Ten vs. SEC | Orlando, Fla. Florida Citrus Bowl | Jan. 2 1 p.m. | ESPN |
| Gator Bowl Big Ten vs. SEC | Jacksonville, Fla. EverBank Field | Jan. 2 1 p.m. | ESPN2 |
| Rose Bowl Game presented by Vizio BCS vs. BCS | Pasadena, Calif. Rose Bowl | Jan. 2 5 p.m. | ESPN |
| Allstate Sugar BCS vs. BCS | New Orleans Louisiana Superdome | Jan. 3 8:30 p.m. | ESPN <="" td=""> |
| Discover Orange BCS vs. BCS | Miami Sun Life Stadium | Jan. 4 8:30 p.m. | ESPN |
| Tostitos Fiesta BCS vs. BCS | Glendale, Ariz. U. of Phoenix Stadium | Jan. 5 8:30 p.m. | ESPN |
| AT&T Cotton Big 12 vs. SEC | Arlington, Texas Cowboys Stadium | Jan. 6 8 p.m. | FOX |
| BBVA Compass Bowl Big East vs. SEC | Birmingham, Ala. Legion Field | Jan. 7 1 p.m. | ESPN |
| Allstate BCS National Championship Game BCS vs. BCS | New Orleans Louisiana Superdome | Jan. 9 8:30 p.m. | ESPN |
| GoDaddy.com MAC vs. Sun Belt | Mobile, Ala. Ladd-Peebles Stadium | TBD TBD | TBD |
Thursday, March 31, 2011
Saturday, February 5, 2011
Oversigning of College Athletes
The NCAA currently has a rule that states that an FBS program can have 85 scholarship athletes and can add 25 new scholarship athletes each Fall semester. Yet, some institutions have consistently oversigned the number of student athletes. Now I just found a website that is designed to document this issue of oversigning of student athletes called oversigning.com. Check it out, it well worth the look.
Friday, January 28, 2011
NHL Goalie Pay & Performance at the All-Star Break
In the Hockey News, there is a chart of each team's top two goalies pay and below the caption asks the following question: "If goaltending is the most important position in hockey, why do so many of the NHL's bottom-feeders slot up top with their blue ice budgets?".
That is a great question, so I thought that I would use the data on the total salaries each team's top two goalies and compare that with each team's performance, first to see if the idea is on target and to then try to explain these counter-intuitive results.
In order to figure this out, I collected each NHL team's standings data (Games Played (GP), Wins (W), Losses (L), OT, Goals For (GF), Goals Against (GA), Standings Points (PTS)) from nhl.com as of today (January 28th, 2011). Then I included the salary data from the Hockey News (January 31, 2011 edition p. 10) and ran a correlation between standings points and goalie salary. The correlation is -0.2777. Hence the writer is on target saying the teams with higher salaried top two goalies are negatively correlated with standings points at the 2010-2011 NHL All-Star break. As I tell my undergraduate students repeated, correlation does not imply causation. We have to work harder to draw conclusions (i.e. statistical inference) than just calculating the correlation between each NHL team's standings points and the combined salary of the top two NHL goalies on each team. To that I now turn.
In order to make a conclusion using statistical techniques, I decided to employ a linear regression on the data that I collected. The regression that I ran was standings points are a function or are determined by Goals For, Goals Against and Games Played. The result was that each variable is statistically significant (i.e. statistically is different from zero at least at a 95% confidence level) and each variable was of the expected sign. The estimated coefficient on Goals For and Games Played were positive (i.e. more goals for and more games played result in more standings points) and the estimated coefficient on Goals Against was negative (i. e. more goals against results in fewer standings points). Yet, when I then included goalie salary, the estimated coefficient was statistically insignificant (i. e. statistically likely to be zero or not relevant). So we can conclude that salary is not a factor in determining standings points up to the All-Star Break this year. Even if we adjust standings points for the number of games played, there still is no statistically significant relationship between team top two goalie salary and team performance.
OK, so there does not seem to be a statistical link between team top two goalie pay and team performance. What about goals against and salary? Shouldn't teams with higher goalie salaries have lower Goals Against? I would think so, but that is not what I find. I find that the estimated coefficient is negative and statistically insignificant - again meaning that there is no statistical relationship between Goals Against and NHL goalie payroll. Nor do I find a statistical relationship between Wins, Losses and NHL goalie payroll.
All of these findings are consistent with the paper Dave Berri and I published in the Journal of Sports Economics last year. We find that goalie salary and goalie performance are not statistically related. Why? Mainly because goalie performance is highly variable from period to period, game to game and season to season.
This is not a dig at NHL goalies. I think that it is really difficult to find an individual who can game after game consistently stop the puck from entering the net at the NHL level, because doing so against the level of NHL talent is so good, not because NHL goalies are not good. What makes people conclude the opposite is that they focus on those goalies (such as Martin Brodeur or Dominic Hasek) who for many years perform at an above average level, they they believe that all goalies can do so. If we look at Brodeur's stats this year, we see that he is (using our NHL goalie measure of Wins Above Average) is only better than Brian Elliott, Dan Ellis and Nikolai Khabibulin.
That leaves us with the conclusion, that if goalies performance is highly variable, NHL GM's should spend more of their capped payroll on other positions and hope for the best at the goalie position.
That is a great question, so I thought that I would use the data on the total salaries each team's top two goalies and compare that with each team's performance, first to see if the idea is on target and to then try to explain these counter-intuitive results.
In order to figure this out, I collected each NHL team's standings data (Games Played (GP), Wins (W), Losses (L), OT, Goals For (GF), Goals Against (GA), Standings Points (PTS)) from nhl.com as of today (January 28th, 2011). Then I included the salary data from the Hockey News (January 31, 2011 edition p. 10) and ran a correlation between standings points and goalie salary. The correlation is -0.2777. Hence the writer is on target saying the teams with higher salaried top two goalies are negatively correlated with standings points at the 2010-2011 NHL All-Star break. As I tell my undergraduate students repeated, correlation does not imply causation. We have to work harder to draw conclusions (i.e. statistical inference) than just calculating the correlation between each NHL team's standings points and the combined salary of the top two NHL goalies on each team. To that I now turn.
In order to make a conclusion using statistical techniques, I decided to employ a linear regression on the data that I collected. The regression that I ran was standings points are a function or are determined by Goals For, Goals Against and Games Played. The result was that each variable is statistically significant (i.e. statistically is different from zero at least at a 95% confidence level) and each variable was of the expected sign. The estimated coefficient on Goals For and Games Played were positive (i.e. more goals for and more games played result in more standings points) and the estimated coefficient on Goals Against was negative (i. e. more goals against results in fewer standings points). Yet, when I then included goalie salary, the estimated coefficient was statistically insignificant (i. e. statistically likely to be zero or not relevant). So we can conclude that salary is not a factor in determining standings points up to the All-Star Break this year. Even if we adjust standings points for the number of games played, there still is no statistically significant relationship between team top two goalie salary and team performance.
OK, so there does not seem to be a statistical link between team top two goalie pay and team performance. What about goals against and salary? Shouldn't teams with higher goalie salaries have lower Goals Against? I would think so, but that is not what I find. I find that the estimated coefficient is negative and statistically insignificant - again meaning that there is no statistical relationship between Goals Against and NHL goalie payroll. Nor do I find a statistical relationship between Wins, Losses and NHL goalie payroll.
All of these findings are consistent with the paper Dave Berri and I published in the Journal of Sports Economics last year. We find that goalie salary and goalie performance are not statistically related. Why? Mainly because goalie performance is highly variable from period to period, game to game and season to season.
This is not a dig at NHL goalies. I think that it is really difficult to find an individual who can game after game consistently stop the puck from entering the net at the NHL level, because doing so against the level of NHL talent is so good, not because NHL goalies are not good. What makes people conclude the opposite is that they focus on those goalies (such as Martin Brodeur or Dominic Hasek) who for many years perform at an above average level, they they believe that all goalies can do so. If we look at Brodeur's stats this year, we see that he is (using our NHL goalie measure of Wins Above Average) is only better than Brian Elliott, Dan Ellis and Nikolai Khabibulin.
That leaves us with the conclusion, that if goalies performance is highly variable, NHL GM's should spend more of their capped payroll on other positions and hope for the best at the goalie position.
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