Yesterday, this article was posted positing that NCAA FBS is broken because the same top teams are in contention for the national championship game year after year. Yet in terms of analysis the article is severely lacking.
So, here is one take on this idea, and that is with regard to the overall level of competitive balance in all of the NCAA FBS. I am using the Noll-Scully Competitive Balance measure. The Noll-Scully Competitive Balance calculates the actual standard deviation of winning percent to an idealized standard deviation of winning percent, where the idealized standard deviation is measured as if wins and losses are randomly determined. The closer the Noll-Scully Competitive Balance measure is to one, the greater the league's competitive balance. For those that are interested in calculating this on their
own, here is a step-by-step guide as to how to perform the Noll-Scully competitive balance calculation.
For a viewpoint of more than one season, I have looked at the data since 1996 (the season that overtime was instituted - and ties no longer take place). This allows for the win/loss competitive balance measure to be used and compared from season to season. As you can see in the chart below, competitive balance has remained rather stable since 1996, calling into question the hypothesis that college football is broke.
Showing posts with label NCAA Football. Show all posts
Showing posts with label NCAA Football. Show all posts
Sunday, January 19, 2020
Thursday, October 10, 2019
Kansas Fires Offensive Coordinator for the Second Year in a Row
Another season, another offensive coordinator is let go from the University of Kansas. It was around this time last year that Doug Meacham was fired. Earlier this week, Les Koenning was fired after six games as the University of Kansas offensive coordinator. Let's take a look at
the Kansas Jayhawks performance on the offensive side of the
ball since 2008. To measure this, I am using the Complex Invasion College Football Production Model, using aggregate data provided from www.cfbstats.com.
As you can see in the figure below, the Kansas Jayhawk's offense hasn't been above average since 2009. So for Kansas to be poor on the offensive side of the ball is a decade long trend.
If we take a look at just the 2019 season, things look a little different. During weeks 2 through 4, the defense was the star of the show for the Jayhawks', being above average as compared to the rest of the "league", while the offense was below average; and terrible in week 2. Yet the last two weeks, while the offense has not brightened, its the defense that is now the concern, and at the end of week 6, the offense was finally higher in terms of productivity than the defense. It is curious that after week 6, when the defense was dropping substantially, is when Les Koenning was fired.
As you can see in the figure below, the Kansas Jayhawk's offense hasn't been above average since 2009. So for Kansas to be poor on the offensive side of the ball is a decade long trend.
If we take a look at just the 2019 season, things look a little different. During weeks 2 through 4, the defense was the star of the show for the Jayhawks', being above average as compared to the rest of the "league", while the offense was below average; and terrible in week 2. Yet the last two weeks, while the offense has not brightened, its the defense that is now the concern, and at the end of week 6, the offense was finally higher in terms of productivity than the defense. It is curious that after week 6, when the defense was dropping substantially, is when Les Koenning was fired.
Wednesday, October 9, 2019
Washington State Football Defensive Coordinator Resigns
Last Friday Yahoo! Sports reported that Tracy Claeys resigned as defensive coordinator for the Washington State Cougars. So, now that I have finished grading four exams, let's take a look at the Washington State Cougars performance on the defensive side of the ball since 2008. To measure this, I am using the Complex Invasion College Football Production Model, using aggregate data provided from www.cfbstats.com.
As you can see in the figure below, the only seasons Washington State's defense was above average was from 2016 to 2018; and Claeys was the defensive coordinator in 2018. So for Washington State to be poor on the defensive side of the ball is not new.
Turning to this season, we see in the chart below that while the offense is one of the most productive in the nation, defensive production has been declining since week 2 of this season.
As you can see in the figure below, the only seasons Washington State's defense was above average was from 2016 to 2018; and Claeys was the defensive coordinator in 2018. So for Washington State to be poor on the defensive side of the ball is not new.
Turning to this season, we see in the chart below that while the offense is one of the most productive in the nation, defensive production has been declining since week 2 of this season.
Sunday, October 6, 2019
2019 NCAA FBS Top 25 Ranking for Week 6
Using aggregate data provided from www.cfbstats.com, the Complex Invasion College Football Production Model most productive team in all of the NCAA FBS is the Ohio State University Buckeyes.
Congrats to the two teams that are bowl eligible: Ohio State (6-0) and SMU (6-0) as well as congrats to as of yet not eligible Florida (6-0)
If you are interested, here are the details of the Complex Invasion College Football production model.
Previous 2019 Top 25 Rankings
2019 NCAA FBS Top 25 Rankings for Week #2
2019 NCAA FBS Top 25 Rankings for Week #3
2019 NCAA FBS Top 25 Rankings for Week #4
2019 NCAA FBS Top 26 Rankings for Week #5
Congrats to the two teams that are bowl eligible: Ohio State (6-0) and SMU (6-0) as well as congrats to as of yet not eligible Florida (6-0)
If you are interested, here are the details of the Complex Invasion College Football production model.
| Rank | Team |
| 1 | Ohio State |
| 2 | Oklahoma |
| 3 | Alabama |
| 4 | Wisconsin |
| 5 | Georgia |
| 6 | Penn State |
| 7 | LSU |
| 8 | Oregon |
| 9 | Notre Dame |
| 10 | UCF |
| 11 | Baylor |
| 12 | Florida |
| 13 | Louisiana-Lafayette |
| 14 | Clemson |
| 15 | Missouri |
| 16 | Memphis |
| 17 | Utah |
| 18 | SMU |
| 19 | Boise State |
| 20 | Arizona |
| 21 | Tulane |
| 22 | Washington State |
| 23 | Auburn |
| 24 | Iowa State |
| 25 | Washington |
Previous 2019 Top 25 Rankings
2019 NCAA FBS Top 25 Rankings for Week #2
2019 NCAA FBS Top 25 Rankings for Week #3
2019 NCAA FBS Top 25 Rankings for Week #4
2019 NCAA FBS Top 26 Rankings for Week #5
Sunday, September 29, 2019
2019 NCAA FBS Top 25 Ranking for Week 5
Using aggregate data provided from www.cfbstats.com, the Complex Invasion College Football Production Model most productive team in all of the NCAA FBS is the Ohio State University Buckeyes.
If you are interested, here are the details of the Complex Invasion College Football production model.
Previous 2019 Top 25 Rankings
2019 NCAA FBS Top 25 Rankings for Week #2
2019 NCAA FBS Top 25 Rankings for Week #3
2019 NCAA FBS Top 25 Rankings for Week #4
If you are interested, here are the details of the Complex Invasion College Football production model.
| Rank | Team |
| 1 | Ohio State |
| 2 | Alabama |
| 3 | Georgia |
| 4 | Penn State |
| 5 | Wisconsin |
| 6 | Oregon |
| 7 | Clemson |
| 8 | Oklahoma |
| 9 | Baylor |
| 10 | Louisiana-Lafayette |
| 11 | Florida |
| 12 | Utah |
| 13 | TCU |
| 14 | Missouri |
| 15 | Kansas State |
| 16 | LSU |
| 17 | Memphis |
| 18 | Washington |
| 19 | Michigan State |
| 20 | Washington State |
| 21 | Utah State |
| 22 | Notre Dame |
| 23 | UCF |
| 24 | Boise State |
| 25 | Navy |
Previous 2019 Top 25 Rankings
2019 NCAA FBS Top 25 Rankings for Week #2
2019 NCAA FBS Top 25 Rankings for Week #3
2019 NCAA FBS Top 25 Rankings for Week #4
Sunday, September 22, 2019
2019 NCAA FBS Top 25 Ranking for Week 4
Using aggregate data provided from www.cfbstats.com, the Complex Invasion College Football Production Model has a new number one FBS team this week. Vaulting into the
number one spot for this week is the Ohio State University Buckeyes.
If you are interested, here are the details of the Complex Invasion College Football production model.
Previous 2019 Top 25 Rankings
2019 NCAA FBS Top 25 Rankings for Week #2
2019 NCAA FBS Top 25 Rankings for Week #3
If you are interested, here are the details of the Complex Invasion College Football production model.
| Rank | Team |
| 1 | Ohio State |
| 2 | Alabama |
| 3 | Georgia |
| 4 | Wisconsin |
| 5 | Oregon |
| 6 | Washington State |
| 7 | LSU |
| 8 | Penn State |
| 9 | Clemson |
| 10 | Maryland |
| 11 | Washington |
| 12 | Oklahoma |
| 13 | Missouri |
| 14 | Coastal Carolina |
| 15 | Kansas State |
| 16 | UCF |
| 17 | Michigan State |
| 18 | Navy |
| 19 | Iowa State |
| 20 | Utah |
| 21 | Florida |
| 22 | Baylor |
| 23 | Wake Forest |
| 24 | Troy |
| 25 | Texas Tech |
Previous 2019 Top 25 Rankings
2019 NCAA FBS Top 25 Rankings for Week #2
2019 NCAA FBS Top 25 Rankings for Week #3
Saturday, September 21, 2019
Power 5 Team Performance After Conference Change
Brett McMurphy has a nice article on the twelve "Power 5" NCAA FBS teams that have changed athletic conference since 2011. McMurphy uses winning percent and conference titles as his measure of team performance, which is very reasonable. I looked at those teams using the Complex Invasion College Football Production Model for the FBS from the data provided from www.cfbstats.com.
Let's take a look at each season starting with the 2011 season. In 2011, Nebraska left the Big 12 to play in the Big 10; Colorado left the Big 12 for the Pac 10; and Utah left the Mountain West for the Pac 10. Here is Nebraska, Colorado and Utah's total production. As you can see, Utah has been recently the best of the three; and has the best average production rank since 2011.
Looking at the 2012 season, Missouri and Texas A&M moved from the Big 12 Conference to the SEC; and TCU moved from the Mountain West and West Virginia moved from the Big East to the Big 12 Conference. All four teams have been on average above average in their total production rank, with TCU as the most productive of the group; and Missouri and Texas A&M being almost identical in their average production rank.
For the 2013 seasons both Pitt and Syracuse left the Big East and moved to the ACC. Pitt is basically an average program over this time period, and Syracuse was substantially below average (even with their highly productive 2018 season).
For the 2014 season, Louisville moved from the American Athletic Conference to the Atlantic Coast Conference; Rutgers left the American Athletic Conference to the Big 10 Conference and Maryland left the Atlantic Coast Conference for the Big 10 Conference. We see that Louisville (even with the 2018 season) was the best of these three teams in terms of overall production; while Rutgers was one of the worst teams overall.
Finally, here is all 12 teams on one graph.
Finally, what I am interested in is how does it effect the athletic department financially moving from one conference to another conference? Sounds like something I should add to my list of research projects.
Let's take a look at each season starting with the 2011 season. In 2011, Nebraska left the Big 12 to play in the Big 10; Colorado left the Big 12 for the Pac 10; and Utah left the Mountain West for the Pac 10. Here is Nebraska, Colorado and Utah's total production. As you can see, Utah has been recently the best of the three; and has the best average production rank since 2011.
Looking at the 2012 season, Missouri and Texas A&M moved from the Big 12 Conference to the SEC; and TCU moved from the Mountain West and West Virginia moved from the Big East to the Big 12 Conference. All four teams have been on average above average in their total production rank, with TCU as the most productive of the group; and Missouri and Texas A&M being almost identical in their average production rank.
For the 2013 seasons both Pitt and Syracuse left the Big East and moved to the ACC. Pitt is basically an average program over this time period, and Syracuse was substantially below average (even with their highly productive 2018 season).
For the 2014 season, Louisville moved from the American Athletic Conference to the Atlantic Coast Conference; Rutgers left the American Athletic Conference to the Big 10 Conference and Maryland left the Atlantic Coast Conference for the Big 10 Conference. We see that Louisville (even with the 2018 season) was the best of these three teams in terms of overall production; while Rutgers was one of the worst teams overall.
Finally, here is all 12 teams on one graph.
Finally, what I am interested in is how does it effect the athletic department financially moving from one conference to another conference? Sounds like something I should add to my list of research projects.
Saturday, September 14, 2019
When your Enemy is Making Mistakes, Don't Interrupt Them
Is Running a High Number of Plays Good? Opportunity Cost in College Football
The Wall Street Journal published an article yesterday that argued that the reason Syracuse beat Clemson in 2017 was because Syracuse ran a lot of plays during the game. [Paywall]
No mention of Clemson losing their starting quarterback Kelly Bryant just before the end of the first half was mentioned, because according to the article, the reason Syracuse defeated one of the best teams in all of FBS was because they ran a lot of plays. Yes, Syracuse ran a lot of plays, 89 in the 2017 game against Clemson.
As you might have guessed, I disagree; because running a play is actually a cost (in economic terms we call it an opportunity cost), because if the team does not do enough positive things to overcome using the scarce resource (play); this reduces a teams ability to score. Just like "outs" are an opportunity cost in baseball (think Moneyball "when your enemy is making mistakes, don't interrupt them"), or shot attempts in basketball.
Plays in football are an opportunity cost. We see this in pro football in research done by David Berri, as well as referred to in our book, The Wages of Wins. Running a play has a statistically significant negative impact on the ability of NFL teams to score points. Likewise, the same is true in the FBS. For the 2017 season, I estimate that each play results in (-0.444) points scored. Likewise the more plays your opponent runs results in your opponent reducing their ability to score points by an estimated (-0.359) points scored.
To overcome this opportunity cost, offenses need to do things that are positive on the field to increase their ability to score points (gain yards, make first downs, and most importantly - not turn the ball over) and defenses need to do things that stop their opponent from doing things that increase their ability to score points.
So, let's go back to Syracuse. Syracuse defeated what ended up being the #10 ranked team overall using my Complex Invasion College Football Production Model for the Football Bowl Subdivision. So was it more likely due to Syracuse playing a lot of plays or that Clemson's starting quarterback was missing for half the game? If running lots of plays, then Syracuse should also be successful against other teams as well; but Syracuse finished up at 4 wins and 8 losses. In terms of the my Complex Invasion College Football Production Model for the Football Bowl Subdivision Syracuse finished as the #104 ranked team in total productivity, with the #87 ranked team in offensive production and the #109 ranked team in defensive production. That Syracuse team was below average on both sides of the ball, and as such, running plays doesn't seem to be the deciding factor.
The Wall Street Journal published an article yesterday that argued that the reason Syracuse beat Clemson in 2017 was because Syracuse ran a lot of plays during the game. [Paywall]
No mention of Clemson losing their starting quarterback Kelly Bryant just before the end of the first half was mentioned, because according to the article, the reason Syracuse defeated one of the best teams in all of FBS was because they ran a lot of plays. Yes, Syracuse ran a lot of plays, 89 in the 2017 game against Clemson.
As you might have guessed, I disagree; because running a play is actually a cost (in economic terms we call it an opportunity cost), because if the team does not do enough positive things to overcome using the scarce resource (play); this reduces a teams ability to score. Just like "outs" are an opportunity cost in baseball (think Moneyball "when your enemy is making mistakes, don't interrupt them"), or shot attempts in basketball.
Plays in football are an opportunity cost. We see this in pro football in research done by David Berri, as well as referred to in our book, The Wages of Wins. Running a play has a statistically significant negative impact on the ability of NFL teams to score points. Likewise, the same is true in the FBS. For the 2017 season, I estimate that each play results in (-0.444) points scored. Likewise the more plays your opponent runs results in your opponent reducing their ability to score points by an estimated (-0.359) points scored.
To overcome this opportunity cost, offenses need to do things that are positive on the field to increase their ability to score points (gain yards, make first downs, and most importantly - not turn the ball over) and defenses need to do things that stop their opponent from doing things that increase their ability to score points.
So, let's go back to Syracuse. Syracuse defeated what ended up being the #10 ranked team overall using my Complex Invasion College Football Production Model for the Football Bowl Subdivision. So was it more likely due to Syracuse playing a lot of plays or that Clemson's starting quarterback was missing for half the game? If running lots of plays, then Syracuse should also be successful against other teams as well; but Syracuse finished up at 4 wins and 8 losses. In terms of the my Complex Invasion College Football Production Model for the Football Bowl Subdivision Syracuse finished as the #104 ranked team in total productivity, with the #87 ranked team in offensive production and the #109 ranked team in defensive production. That Syracuse team was below average on both sides of the ball, and as such, running plays doesn't seem to be the deciding factor.
Wednesday, January 9, 2019
2018 NCAA FBS Competitive Balance
With the end of the NCAA FBS 2018 season, I can update the how competitive the highest tier of college football was using the Noll-Scully Competitive Balance measure. I have decided to calculate this since 1996 (the year that the NCAA FBS went to overtime to decide games), thus there are no ties and the version used by Roger Noll and Gerald Scully is used here. For those that are interested in calculating this on their
own, here is a step-by-step guide as to how to perform the Noll-Scully competitive balance calculation.
As you can see below, competitive balance slightly improved this past season as the Noll-Scully moved closer to one (a league where wins and losses randomly occur), and that for the last 20 plus years, competitive balance among NCAA FBS programs has been relatively stable.

As you can see below, competitive balance slightly improved this past season as the Noll-Scully moved closer to one (a league where wins and losses randomly occur), and that for the last 20 plus years, competitive balance among NCAA FBS programs has been relatively stable.
Thursday, October 11, 2018
Appalachian State
Two days ago, Dan Wolken tweeted:
2015
Appalachian State finished the regular season overall at 10-2 (bowl eligible) and defeated #74 ranked Ohio (31-29) in their first bowl game to finish overall 11-2. Appalachian State played against an "easier" strength of schedule (SOS) as compared to the "league" average SOS. The Mountaineers best game again was their victory over #25 ranked Georgia Southern (31-13) and their worst loss was to #77 ranked Arkansas State (27-40). Mountaineers had the #1 ranked team in total production; yes the model stated that this was the best team in all of the FBS!! The Mountaineers had the #17 ranked offense and the #7 ranked defense from the Complex Invasion College Football Production Model.
2016
At the end of the regular season the Mountaineers were 9-3 (and were bowl eligible) and defeated #19 ranked Toledo (31-28) to finish 10-3 overall, while playing against an "average" strength of schedule (SOS) as compared to the "league" average SOS. The Mountaineers best win was over #22 ranked Old Dominion (31-7) and their worst loss was to #65 ranked Tennessee by a score of (13-20). Appalachian State had the #17 ranked team in total production with the #53 ranked offense and the #10 ranked defense from the Complex Invasion College Football Production Model.
2017
The Mountaineers were 8-4 (and bowl eligible) again defeating #39 ranked Toledo in their post-season bowl game, while playing against an "easier" strength of schedule (SOS) as compared to the "league" average SOS. The Mountaineers best win was over #65 ranked New Mexico State (45-31) and their worst loss was to #107 ranked Louisiana-Monroe by a score of (45-52). Appalachian State had the #14 ranked team in total production with the #29 ranked offense and the #12 ranked defense from the Complex Invasion College Football Production Model.
Finally:
I disagree. Appalachian State is an excellent football team, as we saw on Tuesday night when they played Arkansas State. Using the using the Complex Invasion College Football Production Model that is detailed here, let's take a look at the Appalachian State football team in the FBS during head coach Scott Scatterfield's tenure as head coach.App State is good. Scott Satterfield hired Jimmy Sexton this year. Someone is going to hire Scott Satterfield. https://t.co/aoUV5rvopk— Dan Wolken (@DanWolken) October 10, 2018
2014
The Mountaineers finished their first regular season in the FBS at 7-5 overall. Appalachian State played against a "much easier" strength of schedule (SOS) as compared to the "league" average SOS; meaning that their SOS was greater than two standard deviations higher than the average SOS for the "league". The Mountaineers best regular season game was a victory (37-32) over #50 ranked Arkansas State and their worst loss was to FCS Liberty by a score of (48-55). Overall, the Mountaineers had the #34 ranked team with the #55 ranked offense and the #25 ranked defense from the Complex Invasion College Football Production Model.
The Mountaineers finished their first regular season in the FBS at 7-5 overall. Appalachian State played against a "much easier" strength of schedule (SOS) as compared to the "league" average SOS; meaning that their SOS was greater than two standard deviations higher than the average SOS for the "league". The Mountaineers best regular season game was a victory (37-32) over #50 ranked Arkansas State and their worst loss was to FCS Liberty by a score of (48-55). Overall, the Mountaineers had the #34 ranked team with the #55 ranked offense and the #25 ranked defense from the Complex Invasion College Football Production Model.
2015
Appalachian State finished the regular season overall at 10-2 (bowl eligible) and defeated #74 ranked Ohio (31-29) in their first bowl game to finish overall 11-2. Appalachian State played against an "easier" strength of schedule (SOS) as compared to the "league" average SOS. The Mountaineers best game again was their victory over #25 ranked Georgia Southern (31-13) and their worst loss was to #77 ranked Arkansas State (27-40). Mountaineers had the #1 ranked team in total production; yes the model stated that this was the best team in all of the FBS!! The Mountaineers had the #17 ranked offense and the #7 ranked defense from the Complex Invasion College Football Production Model.
2016
At the end of the regular season the Mountaineers were 9-3 (and were bowl eligible) and defeated #19 ranked Toledo (31-28) to finish 10-3 overall, while playing against an "average" strength of schedule (SOS) as compared to the "league" average SOS. The Mountaineers best win was over #22 ranked Old Dominion (31-7) and their worst loss was to #65 ranked Tennessee by a score of (13-20). Appalachian State had the #17 ranked team in total production with the #53 ranked offense and the #10 ranked defense from the Complex Invasion College Football Production Model.
2017
The Mountaineers were 8-4 (and bowl eligible) again defeating #39 ranked Toledo in their post-season bowl game, while playing against an "easier" strength of schedule (SOS) as compared to the "league" average SOS. The Mountaineers best win was over #65 ranked New Mexico State (45-31) and their worst loss was to #107 ranked Louisiana-Monroe by a score of (45-52). Appalachian State had the #14 ranked team in total production with the #29 ranked offense and the #12 ranked defense from the Complex Invasion College Football Production Model.
Finally:
I agree! They are currently #20 at the end of last week: NCAA FBS Week #6 Top 25 Productive Teams. This is an excellent football team.App State belongs in the top 25. This is the best team they’ve ever had. Defense hasn’t given up double digit points since the Penn State OT loss.— Daniel Jeremiah (@MoveTheSticks) October 10, 2018
Wednesday, October 10, 2018
2018 Connecticut's Aweful Defense
Recently, there has been speculation that Connecticut might have the worst scoring defense since WWI. I cannot comment on their
performance since World War I, but I can examine the Huskies defense from the start of the season through week #6 since 2011, when I first started looking at FBS
performance weekly using the Complex Invasion College Football Production Model that is detailed here.
In the table below I report two numbers: the worst defenses difference in performance compared to the best defense through that season's week #6 (Overall) and the difference between the worst defenses' performance and the second to worst team's defensive performance through that season's week #6 (Next Worst).
As you can see above through week #6 of the season, Connecticut has the worst Overall defense as compared to the best defense for each season since 2011 (slightly ahead of their prior seasons performance) and also the worst defense as compared to the next worst defense for each season since 2011. Admittedly, one of the problems of the analysis above, is that each season is different, and it might not be accurate to compare one season with another season.
Is there a way to overcome this problem? I propose the following: let's use the defensive performances through week #6 for the last eight years (time period that I have weekly data) and apply the Complex Invasion College Football Production Model over the entire time period. The impact that each action on the field will be weighted the same for all defenses over those eight years and as such, I can compare any teams defense during this time period against any other defense during this time period since I am using the same measure for all the teams.
So, I gathered the data, ran the regression and calculated each team's defensive production. I ranked the defenses from worst to best, and I found that the 2018 Connecticut Huskies have the worst defense through week #6 since 2011. In fact, its not even close. This year's Huskies are over 16% worst than the next worst defense during the 2011-2018 time period through six weeks. In other words, find the second to worst defense, Connecticut is over 16% worse than that through six weeks.
In the table below I report two numbers: the worst defenses difference in performance compared to the best defense through that season's week #6 (Overall) and the difference between the worst defenses' performance and the second to worst team's defensive performance through that season's week #6 (Next Worst).
| Season | Team | Overall | Next Worst | ||
| 2011 | Kansas | -152.632 | -3.753 | ||
| 2012 | Massachusetts | -213.481 | -2.472 | ||
| 2013 | New Mexico State | -265.320 | -19.773 | ||
| 2014 | UNLV | -181.704 | -1.941 | ||
| 2015 | UTEP | -229.388 | -1.178 | ||
| 2016 | Charlotte | -254.605 | -22.784 | ||
| 2017 | Connecticut | -265.607 | -12.381 | ||
| 2018 | Connecticut | -269.982 | -24.846 |
As you can see above through week #6 of the season, Connecticut has the worst Overall defense as compared to the best defense for each season since 2011 (slightly ahead of their prior seasons performance) and also the worst defense as compared to the next worst defense for each season since 2011. Admittedly, one of the problems of the analysis above, is that each season is different, and it might not be accurate to compare one season with another season.
Is there a way to overcome this problem? I propose the following: let's use the defensive performances through week #6 for the last eight years (time period that I have weekly data) and apply the Complex Invasion College Football Production Model over the entire time period. The impact that each action on the field will be weighted the same for all defenses over those eight years and as such, I can compare any teams defense during this time period against any other defense during this time period since I am using the same measure for all the teams.
So, I gathered the data, ran the regression and calculated each team's defensive production. I ranked the defenses from worst to best, and I found that the 2018 Connecticut Huskies have the worst defense through week #6 since 2011. In fact, its not even close. This year's Huskies are over 16% worst than the next worst defense during the 2011-2018 time period through six weeks. In other words, find the second to worst defense, Connecticut is over 16% worse than that through six weeks.
Monday, October 8, 2018
2018 NCAA FBS Top 25 Ranking for Week 6
With week #6 of NCAA FBS games finished, below is the latest Top 25 rankings using the Complex Invasion College Football Production Model from the data provided from www.cfbstats.com. According to the Complex Invasion College Football production model, The University of Alabama Crimson Tide are still the most productive team in all of the Football Bowl Subdivision.
Here are the details of the Complex Invasion College Football production model.
Previous 2018 Top 25 Rankings
2018 NCAA FBS Top 25 Rankings for Week #1
2018 NCAA FBS Top 25 Rankings for Week #2
2018 NCAA FBS Top 25 Rankings for Week #3
2018 NCAA FBS Top 25 Rankings for Week #4
2018 NCAA FBS Top 25 Rankings for Week #5
Here are the details of the Complex Invasion College Football production model.
| Rank | Team |
| 1 | Alabama |
| 2 | Clemson |
| 3 | Georgia |
| 4 | Virginia |
| 5 | Memphis |
| 6 | West Virginia |
| 7 | UCF |
| 8 | Fresno State |
| 9 | Washington |
| 10 | Washington State |
| 11 | Mississippi State |
| 12 | North Carolina State |
| 13 | South Florida |
| 14 | Ohio State |
| 15 | Notre Dame |
| 16 | Cincinnati |
| 17 | Boston College |
| 18 | Georgia Southern |
| 19 | Miami (Florida) |
| 20 | Appalachian State |
| 21 | Georgia Tech |
| 22 | Texas Tech |
| 23 | North Texas |
| 24 | Penn State |
| 25 | Duke |
Previous 2018 Top 25 Rankings
2018 NCAA FBS Top 25 Rankings for Week #1
2018 NCAA FBS Top 25 Rankings for Week #2
2018 NCAA FBS Top 25 Rankings for Week #3
2018 NCAA FBS Top 25 Rankings for Week #4
2018 NCAA FBS Top 25 Rankings for Week #5
Monday, September 10, 2018
2018 NCAA FBS Top 25 Ranking for Week 2
With the second full week of NCAA FBS games finished, below is the latest Top 25 rankings using the Complex Invasion College Football Production Model from the data provided from www.cfbstats.com. According to the Complex Invasion College Football production model, the Boise State Broncos are currently the most productive team after the conclusion of the last week.
Previous 2018 Top 25 Rankings
2018 NCAA FBS Top 25 Rankings for Week #1
| Rank | Team |
| 1 | Boise State |
| 2 | Ohio State |
| 3 | Georgia |
| 4 | TCU |
| 5 | Boston College |
| 6 | Oklahoma State |
| 7 | UCF |
| 8 | Oregon |
| 9 | Auburn |
| 10 | Oklahoma |
| 11 | Mississippi State |
| 12 | Wisconsin |
| 13 | Vanderbilt |
| 14 | Toledo |
| 15 | Missouri |
| 16 | West Virginia |
| 17 | Washington State |
| 18 | Alabama |
| 19 | Utah |
| 20 | Georgia Southern |
| 21 | North Texas |
| 22 | Louisiana Tech |
| 23 | Baylor |
| 24 | Virginia Tech |
| 25 | Arizona State |
Previous 2018 Top 25 Rankings
2018 NCAA FBS Top 25 Rankings for Week #1
Tuesday, September 4, 2018
2018 NCAA FBS Top 25 Ranking for Week 1
With the NCAA FBS full season under way (except for Akron, Iowa State and Nebraska - due to weather), I have decided to post the Top 25 rankings after the first week. Normally, I like to wait until the second week, but the results are good using the Complex Invasion College Football Production Model from the data provided at www.cfbstats.com. According to the Complex Invasion College Football production model, the University of Memphis Tigers are the most productive team after the 66-13 defeat of Mercer during the first week. Let's see how this holds up as teams start to play similar competition in a few weeks.
| Rank | Team |
| 1 | Memphis |
| 2 | Toledo |
| 3 | Mississippi State |
| 4 | UAB |
| 5 | Fresno State |
| 6 | Texas A&M |
| 7 | TCU |
| 8 | Liberty |
| 9 | Florida |
| 10 | Oklahoma |
| 11 | UCF |
| 12 | Georgia |
| 13 | Arizona State |
| 14 | Nevada |
| 15 | Southern Mississippi |
| 16 | Oklahoma State |
| 17 | Utah |
| 18 | Charlotte |
| 19 | Ohio State |
| 20 | Eastern Michigan |
| 21 | Air Force |
| 22 | Georgia Tech |
| 23 | Houston |
| 24 | Ball State |
| 25 | Virginia |
Saturday, February 10, 2018
2017 NCAA FBS Attendance
Recently the NCAA posted the attendance data for the 2017 season. So let's take a look what happened in terms of attendance in the football bowl subdivision. First thing to notice is that average team season attendance is the lowest it has been since 2008's average season attendance of 291,053 to 264,397 in 2017. Average attendance this past season decreased by 7,485 which is the largest decline since the 2013 to 2014 season decline of 10,441 fans per team on average. The correlation of average season attendance from the 2016 to 2017 season is 0.9699 which is almost identical from one season to another since the 2006 to 2007 seasons.
Given this decline in average season attendance, the question is if the decline is statistically significant. In order to determine this I calculated a pairwise t-test on the average season attendance over the last two seasons. Using a 95% confidence level, which is standard in statistics, I find that the pairwise t-test "fails to accept" that the two seasons are statistically significant different from each other. So while attendance is down, it is not significantly down.
Given this decline in average season attendance, the question is if the decline is statistically significant. In order to determine this I calculated a pairwise t-test on the average season attendance over the last two seasons. Using a 95% confidence level, which is standard in statistics, I find that the pairwise t-test "fails to accept" that the two seasons are statistically significant different from each other. So while attendance is down, it is not significantly down.
Monday, November 27, 2017
Paul Haynes is Out as Kent State's Head Football Coach
Paul Haynes is no longer the head football coach at Kent State. Here is some analysis of the Kent State Golden Flashes during Haynes' tenure as head football coach.
Below is a chart of offense, defense and total production of the Kent State University Golden Flashes football program during Haynes' tenure as head football coach, along with who would be the lowest ranked team during this time period (in purple) and the average team (sky blue). As you may notice, the all four seasons saw a program that was below average. All rankings in this blog come from my Complex Invasion College Football Production Model. More details about the program under Haynes are after the chart below, including a link to his employment contract are below.
Paul Haynes [2013 - 2017]
2013
The Golden Flashes were 4-8 during the regular season under Haynes' first year at the helm of the football program. The Golden Flashes were bowl ineligible playing against an "average" strength of schedule (SOS) as compared to the "league" average SOS, meaning that their SOS was plus or minus standard deviation of the "league" average SOS. The Golden Flashes best game again was their victory over #82 ranked Ohio (44-13) and their worst loss was to #98 ranked Akron (7-16). Kent State had the #94 ranked team in total production with the #99 ranked offense and the #77 ranked defense from the Complex Invasion College Football Production Model.
2014
Kent State finished the regular season at 2-9 and again were bowl ineligible. Kent State played against an "average" strength of schedule (SOS) as compared to the "league" average SOS, meaning that their SOS was plus or minus standard deviation of the "league" average SOS. The Golden Flashes best game again was their victory over #87 ranked Akron (27-24) and their worst loss was to #105 ranked Miami (OH) (3-10). Kent State had the #113 ranked team in total production with the #123 ranked offense and the #58 ranked defense from the Complex Invasion College Football Production Model.
2015
The Golden Flashes were 3-9 during the regular season (bowlin eligible). Kent State again played against an "average" strength of schedule (SOS) as compared to the "league" average SOS. The Golden Flashes best game again was their victory over #98 ranked Massachusetts (15-10) and their worst loss was to #91 ranked Buffalo (17-18). Kent State had the #107 ranked team in total production with the #127 ranked offense and the #39 ranked defense from the Complex Invasion College Football Production Model.
2016
Kent State again finished the regular season at 3-9 and again were bowl ineligible. The Golden Flashes again played against an "average" strength of schedule (SOS) as compared to the "league" average SOS. The Golden Flashes best game again was their victory over #90 ranked Central Michigan (27-24) and their worst loss was to FCS NC A&T (36-39). Kent State had the #87 ranked team in total production with the #113 ranked offense and the #33 ranked defense from the Complex Invasion College Football Production Model.
2017
At the time of Hayne's departure, Kent State played against a "tougher" strength of schedule (SOS) as compared to the "league" average SOS, meaning that their SOS was between one and two standard deviations below the "league" average SOS. The Golden Flashes best win was against #68 currently ranked Miami (OH) by a score of (17-14) and their worst loss was to #119 currently ranked Bowling Green by a score of (16-44). Currently Kent State has the #126 ranked team in total production, with the #130 ranked offense [that would be the worst in all of the FBS] and the #111 ranked defense from the Complex Invasion College Football Production Model.
2017 NCAA FBS Head Coach Changes
Minnesota and Tracy Claeys
California and Sonny Dykes
Oklahoma and Bob Stoops
Mississippi (Ole Miss) and Hugh Freeze
UTEP and Sean Kugler
Oregon State and Gary Andersen
Georgia Southern and Tyson Summers
Florida and Jim McElwain
Tennessee and Butch Jones
UCLA and Jim Mora
South Alabama and Joey Jones
Arkansas and Bret Bielema
Nebraska and Mike Riley
Arizona State and Todd Graham
Below is a chart of offense, defense and total production of the Kent State University Golden Flashes football program during Haynes' tenure as head football coach, along with who would be the lowest ranked team during this time period (in purple) and the average team (sky blue). As you may notice, the all four seasons saw a program that was below average. All rankings in this blog come from my Complex Invasion College Football Production Model. More details about the program under Haynes are after the chart below, including a link to his employment contract are below.
Paul Haynes [2013 - 2017]
2013
The Golden Flashes were 4-8 during the regular season under Haynes' first year at the helm of the football program. The Golden Flashes were bowl ineligible playing against an "average" strength of schedule (SOS) as compared to the "league" average SOS, meaning that their SOS was plus or minus standard deviation of the "league" average SOS. The Golden Flashes best game again was their victory over #82 ranked Ohio (44-13) and their worst loss was to #98 ranked Akron (7-16). Kent State had the #94 ranked team in total production with the #99 ranked offense and the #77 ranked defense from the Complex Invasion College Football Production Model.
2014
Kent State finished the regular season at 2-9 and again were bowl ineligible. Kent State played against an "average" strength of schedule (SOS) as compared to the "league" average SOS, meaning that their SOS was plus or minus standard deviation of the "league" average SOS. The Golden Flashes best game again was their victory over #87 ranked Akron (27-24) and their worst loss was to #105 ranked Miami (OH) (3-10). Kent State had the #113 ranked team in total production with the #123 ranked offense and the #58 ranked defense from the Complex Invasion College Football Production Model.
2015
The Golden Flashes were 3-9 during the regular season (bowlin eligible). Kent State again played against an "average" strength of schedule (SOS) as compared to the "league" average SOS. The Golden Flashes best game again was their victory over #98 ranked Massachusetts (15-10) and their worst loss was to #91 ranked Buffalo (17-18). Kent State had the #107 ranked team in total production with the #127 ranked offense and the #39 ranked defense from the Complex Invasion College Football Production Model.
2016
Kent State again finished the regular season at 3-9 and again were bowl ineligible. The Golden Flashes again played against an "average" strength of schedule (SOS) as compared to the "league" average SOS. The Golden Flashes best game again was their victory over #90 ranked Central Michigan (27-24) and their worst loss was to FCS NC A&T (36-39). Kent State had the #87 ranked team in total production with the #113 ranked offense and the #33 ranked defense from the Complex Invasion College Football Production Model.
2017
At the time of Hayne's departure, Kent State played against a "tougher" strength of schedule (SOS) as compared to the "league" average SOS, meaning that their SOS was between one and two standard deviations below the "league" average SOS. The Golden Flashes best win was against #68 currently ranked Miami (OH) by a score of (17-14) and their worst loss was to #119 currently ranked Bowling Green by a score of (16-44). Currently Kent State has the #126 ranked team in total production, with the #130 ranked offense [that would be the worst in all of the FBS] and the #111 ranked defense from the Complex Invasion College Football Production Model.
2017 NCAA FBS Head Coach Changes
Minnesota and Tracy Claeys
California and Sonny Dykes
Oklahoma and Bob Stoops
Mississippi (Ole Miss) and Hugh Freeze
UTEP and Sean Kugler
Oregon State and Gary Andersen
Georgia Southern and Tyson Summers
Florida and Jim McElwain
Tennessee and Butch Jones
UCLA and Jim Mora
South Alabama and Joey Jones
Arkansas and Bret Bielema
Nebraska and Mike Riley
Arizona State and Todd Graham
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