Showing posts with label NFL. Show all posts
Showing posts with label NFL. Show all posts

Friday, January 31, 2020

Super Bowl Articles - 2020

Here are links to our 2020 Super Bowl Articles. 

Do you have your Super Bowl Square Pool box yet? The Super Bowl kicks off on an interesting date for number nerds this coming Sunday: on 02/02/2020!

Read more here: 
https://sportsquants.kinja.com/super-bowl-square-pool-probabilities-by-quarter-updat-1841264836


Over the years, Dr. Jay Granatpsychotherapist, and I have studied championship factors related to sports psychology to predict the winners of major championships. Much of our research has focused on quantifying concepts such as consistency and minimizing errors.

Read more here:
https://sportsquants.kinja.com/who-will-win-the-big-game-2020-super-bowl-1841415370


We'll update our Quant Facts prediction record before March Madness begins!  

Monday, February 5, 2018

Quant Facts now 50-28 (64.1%)

The Philadelphia Eagles upset the New England Patriots in the 2018 Super Bowl.  Our quant fact prediction was on the underdog Eagles, improving our record to 50-28 (64.1%).

https://sportsquants.kinja.com/who-will-win-the-big-game-super-bowl-lii-2018-1822595205

Our research is based on decade's worth of data in all of the major sports -- and quantifies concepts related to sports psychology and championship factors.  For almost a decade, we have published our quant fact predictions and have been correct 64.1% of the time -- sometimes picking underdogs.  This shows the power of analytics, sports psychology, and our work.  Thank you for reading.



Carlton Chin and Jay Granat have been friends and associates for many years -- and are co-authors of "Who Will Win the Big Game: A Psychological and Mathematical Approach."  


Wednesday, January 31, 2018

Who Will Win the Big Game? 2018 Super Bowl

The results for this article are based on every Super Bowl ever played, since the first Super Bowl in January 1967. Our very first “Who Will Win” the Super Bowl prediction — for the Wall St. Journal — correctly picked an underdog to win the big game.


Will we pick an underdog again this year? Read more below!

Carlton Chin and Jay Granat are co-authors of "Who Will Win the Big Game?"  Their research quantifies concepts of sports psychology and over the past decade, their predictions in major sporting events have been correct about 65% of the time, while regularly picking undervalued teams.  

Friday, January 26, 2018

Super Bowl Square Pool Odds (By Quarter) - 2018


We published our popular article on Super Bowl Square Pools.  Read more here:

https://sportsquants.kinja.com/2018-super-bowl-square-pool-odds-by-quarter-1822447937

And please visit out blog in a few days -- for our Super Bowl quant fact prediction!  Thank you for reading.





Friday, January 5, 2018

2018 NFL Playoff Preview: Quant Facts

Our readers know that our “Who Will Win” methodology focuses on sports psychology “quant facts.” That is, our goal is to quantify edges associated with concepts of sports psychology. Our playoff power rankings are based on measures of confidence, experience, consistency, and execution while minimizing errors. In addition, our playoff rankings apply sports analyticaltools such as quality wins and point differential.

Read more here: 
https://sportsquants.kinja.com/a-quant-facts-preview-of-the-2018-nfl-playoffs-1821819465

Wednesday, February 1, 2017

Who Will Win Super Bowl LI (2017)

We have completed our "Who Will Win" analysis for this year's Super Bowl.  Here is just one of the championship factors we reviewed:


DefenseThe old adage, "Defense wins championships," has proven to be true.  Defense is associated with hard-nosed, gritty work. Defense is typically more consistent – and interestingly, can overcome glitzy offenses - which are sometimes able to "run up numbers" against weaker opponents during the regular season. A large majority of Super Bowls (63%) has been won by the team with the better defense, measured by "points against." The Patriots led the NFL in this category this season.  Edge: New England.

Read more here: 
http://quantfacts.sportsblog.com/posts/31857959/who-will-win-the-big-game--super-bowl-li--2017-.html

With sportsblog "retiring" older articles, we posted the entire article here:  

ver the years, Dr. Jay Granat, a psychotherapist, and I have studied championship factors related to sports psychology to predict the winners of major championships. Much of our research has focused on concepts such as consistency and minimizing errors.    
These factors are often overlooked by most sports fans and analysts.  Our regular series of "Who Will WIn" quant facts predictions have been correct about 63% of the time, while regularly picking underdogs.  The results are based on championships going back several decades – and across major sports including the NFL, MLB, NBA, NHL, and professional tennis and golf
The results below are based on every Super Bowl ever played, since the first Super Bowl in January 1967. Last year, we correctly predicted that the underdog, Denver Broncos, would win the Super Bowl.  
Big Game Experience 
Big game experience and the related factor of confidence play a large role in winning -- in every major sport we have studied.  Tom Brady and the New England Patriotstake this championship factor, winning the Super Bowl just two years ago and being perennial Super Bowl contenders.  Edge: New England. 
Defense
The old adage, "Defense wins championships," has proven to be true.  Defense is associated with hard-nosed, gritty work. Defense is typically more consistent – and interestingly, can overcome glitzy offenses - which are sometimes able to "run up numbers" against weaker opponents during the regular season. A large majority of Super Bowls (63%) has been won by the team with the better defense, measured by "points against." The Patriots led the NFL in this category this season.  Edge: New England.
Consistency
Even with today’s high-octane NFL offenses, ball control remains one of the most important offensive indicators studied in both professional and college football. The team with a better running game, as measured by "average yards per rush," has won a majority of all Super Bowls. Matt Ryan and the league-leading Atlanta Falconoffense were not only good in the air, they were strong on the ground, as well.  The Falcons were near the top of the NFL this area.  Edge: Atlanta.
Defensive Consistency
Similarly, stopping your opponent’s running game is related to winning the big game. The team with the better rushing defense has won almost 60% of the Super Bowls. Interestingly, although New England has the better overall defense, Atlanta edges New England in this crucial championship factor.  Edge: Atlanta.
Minimizing Errors
Champions need to execute at a high-level, while minimizing errors and mistakes. The quarterback, as the team’s offensive leader, has a huge impact in determining championships. In particular, quarterback interceptions during the regular season are great predictors of Super Bowl success. The team with fewer interceptions during the regular season has gone on to win a majority of all Super Bowls. This has always been a strength of Tom Brady's Patriots.  Although Matt Ryan had a phenomenal season, the Patriots as a team threw just two (2 ! ) INTs all season!  Edge: Patriots.
Summary
The championship factors favor the Patriots 3-2, so New England will be our official quant fact prediction.  It is very interesting that the Atlanta Falcons edge the Patriots in two key fundamental areas.  This could actually lead to interesting game plans.  At the time of this article, New England is a very slight favorite at Patriots -3.  Enjoy the big game!  
Other Popular Articles

Carlton Chin, a graduate of MIT, is a portfolio strategist and fund manager -- and has worked on sports analytics with sports organizations. Jay Granat is a psychotherapist and founder of StayIntheZone.com. They are authors of “Who Will Win the Big Game? A Psychological & Mathematical Method” and have been quoted by the Wall St. Journal, New York Times, and ESPN.  

Carlton Chin, CFA, is a fund manager, MIT-trained quantitative analyst, and co-author of “Who Will Win the Big Game?" He has worked with the Sacramento Kings on the Draft 3.0 Analytics Advisory Council.  Dr. Jay Granat, the owner of StayInTheZone.com, was named one of America's Top 10 Mental Gurus by Golf Digest, and has worked with high school and Olympic athletes. Carlton and Jay have been interviewed and/or quoted by ESPN, the New York Times, and Wall Street Journal.  



Saturday, January 30, 2016

Quant Facts Update (45-27 = 62.5%) + Super Bowl Articles

We correctly predicted the winner of the 2015 MLB World Series, increasing our published "quant fact" results to 45-27, or 62.5%.  It is noteworthy that these results are not versus a point spread (against the spread) -- but based on straight winners.  However, we regularly predict that underdogs win championships.

Our 2016 NFL Super Bowl articles have been published.  Please check them out:




Carlton Chin, CFA, is a fund manager and quantitative researcher focused on the financial markets and sports analytics. He has been quoted by the New York Times and Wall St. Journal and has worked on sports analytics with sports organizations. 

Jay Granat is a psychotherapist and founder of StayIntheZone.com.





Friday, January 30, 2015

Super Bowl and NFL Articles

The big game is coming up.  Here is a list of our recent NFL articles:


  • Who Will Win the Big Game?  Since our book was published, our quant fact predictions have been correct 63% of the time while sometimes picking underdogs.  This article's prediction will count in our blog's official "quant fact" record.  
  • Super Bowl Square Pool probabilities.  Once your square pool numbers have been drawn, our popular article shows the odds of you winning each quarter.  
  • Deflategate article.  Interesting take on how numbers can sometimes be deceiving.  


Carlton Chin, CFA, is a fund manager and portfolio strategist who applies quant analytics to the financial markets and sports.  He has been quoted by the New York Times, Wall St. Journal and ESPN -- and has worked with sports organizations, including the Sacramento Kings for Draft 3.0.      

Saturday, January 24, 2015

2015 Super Bowl Square Pool Odds (By Quarter)

The Super Bowl is fast-approaching – along with interest in the popular Super Bowl Square Pools. If you are participating in a Square Pool (where only the last digit for each team counts), you are randomly assigned a digit for each team, such as New England 3, and Seattle 4. Many fans have an idea of what numbers are “good.” Here, we compute Super Bowl Square Pool probabilities by quarter, based on recent historical results.


Read more here:

http://quantfacts.sportsblog.com/posts/1688009/2015_super_bowl_square_pools__by_quarter_.html

Thursday, January 30, 2014

Who Will Win the 2014 Super Bowl?

Here is this year's "Who Will Win" article for the Super Bowl.


Together with Dr. Jay Granat, a psychotherapist, I studied factors related to sports psychology to help predict the winner of the Super Bowl. The results are based on every Super Bowl ever played since the first Super Bowl in January 1967.

This year’s Super Bowl between the Denver Broncos and the Seattle Seahawks is a classic matchup between offense and defense.

Read more here for the Quant Fact predictions at http://www.rantsports.com/nfl/2014/01/30/2014-super-bowl-who-will-win-the-big-game/?3pt1yM4RgIXAaI26.99



If you are in a Super Bowl Square Pool, check out our updated odds for this year's Super Bowl.
http://www.rantsports.com/nfl/2014/01/27/2014-super-bowl-square-pool-probabilities-by-quarter/

Friday, February 8, 2013

Quant Facts 30-20 (2/8/13)

The Super Bowl between San Francisco and Baltimore was truly an exciting game -- and we saw that the results of sporting events can turn on numerous events.  This game included everything from big plays and turnovers -- to power outages and momentum changes!

The power outage created a huge momentum swing, with the delay of greater than 30 minutes -- soon after Baltimore's huge kickoff return for a TD -- allowing San Francisco to compose themselves and get back in the game.  The 49ers actually looked like they would win the game, with a winning TD only 5 yards away, as time ticked down.  However, Baltimore's goal line stand won the Ravens a championship.

Our quant fact predictions are now 30-20 (60%) -- showing the power of sports psychology and quantitative analysis.  

Saturday, February 2, 2013

Super Bowl Sims and Championship Characteristics - 2013

Here is an excerpt from our analysis and numerical simulations of this year's Super Bowl, between San Francisco and Baltimore, which is published in the New York Times.  Our quant facts have been correct more than 60% of the time.



Consistency: Ball control remains one of the more important offensive indicators studied in both professional and college football. The team with a better running game, as measured by average yards per rush, has won 57.8 percent of the Super Bowls. The 49ers averaged 5.1 yards per rush this season, compared to 4.3 for the Ravens. Edge: San Francisco.

Monte Carlo Simulations: Probabilistic models like Monte Carlo techniques can be used to solve complicated problems. Similar to our analysis for the B.C.S. national title game between Alabama and Notre Dame, we used regular-season statistics in combination with our championship factors to simulate thousands of football games between San Francisco and Baltimore.

Read more here:
http://fifthdown.blogs.nytimes.com/2013/02/02/keeping-score-what-stats-and-simulations-say-about-the-super-bowl/ 

In addition, our popular analysis of Super Bowl Square Odds -- by Quarter -- is published here:
http://ireport.cnn.com/docs/DOC-917541

Tuesday, January 29, 2013

Super Bowl Square Probabilities - updated through 1/29/13

by Carlton Chin, Don La Fronz & Paul Lacher

A few years ago, we took a look at the probabilities of the digits winning at the end of each quarter – based on every Super Bowl ever played.  The results were published by the New York Times, here. Below is the entire link:


This year, we refreshed the results to reflect the NFL’s adoption of the two-point conversion since 1994.  We used every Super Bowl – along with Conference Championship games – since 1994.   Similar to three years ago, we computed the probabilities, or odds, at the end of each quarter.  Our findings include information on which team was favored to win the game.   

So, what numbers are good?  Here are some tidbits:
  • For the team that is favored (San Francisco, this year), the best numbers to have for the final score are: 1, 4, and 7.  These numbers each have a 17.9% chance of hitting, based on our data sample. 
  • The best numbers for the underdog’s final score (Baltimore) are 4, 7 and 0 – in that order.
  • The best overall numbers, to win at the end of any quarter – favorite or underdog – are 0, 7, 4, and 3, in that order. 
  • The 0 and 3 are particularly good to have at the end of the first quarter and first half.
  • By the end of the game, the 4 and 7 are the best.
  • The worst numbers are the 2 and 5, but by the end of the game, every number has won in our sample size, since 1994.  
Note that if there is a 0.0% in a given square, it does not mean that this event is impossible.  It just means that during our sample size, that set of numbers has not occurred for the given quarter.  Please keep an eye out for our “Who Will Win” analysis and Monte Carlo simulation of this year’s Super Bowl. Enjoy the game!

(Please click on the charts to enlarge.)

First Quarter - Probabilities


First Half - Probabilities

Third Quarter - Probabilities

Final Score - Probabilities

Special thanks to Don La Fronz who thought of the idea and helped devise the methodology -- and to Paul Lacher, who helped to put this year's article together.  Carlton has been good friends with Don and Paul for many years.

Don La Fronz is a financial advisor at Pell Wealth Partners.  Paul Lacher is a Wall Street veteran with over 20 years in financial services working with brokerage firms, banks, mutual fund companies and transfer agents.  Born and raised in Brooklyn, NY, Paul is a lifelong sports fan who still counts down the days until pitchers and catchers report for spring training -- and wonders, at times, if the NY Jets will ever win another Super Bowl.  Carlton Chin, CFA, is a managing director at Price Asset Management and principal at Adamah/CARAT Capital, specializing in portfolio strategy, quant research, and alternative investment strategies.

This article and the Final Score chart is also here:

Wednesday, February 8, 2012

Congrats to Giants; Quant Facts

Congratulations to both the New England Patriots and the New York Giants for a great season. Big games, and indeed, championships -- often come down to just a few key plays. Athletes and teams that focus on:
  • fundamentals,
  • minimizing errors (while still performing at a high level)
and also have:
  • confidence, which is often related to
  • experience, and
  • leadership --
often "win the big game."


Eli Manning's Giants came away with Super Bowl XLVI because they executed just a touch better than the Patriots. This drops our "quant fact" predictions to 26-17 in published predictions for our book's blog.




Thursday, February 2, 2012

Super Bowl Square Pools (Feb 2012)

The New York Times published our popular article on Square Pools in their Super Bowl Sunday spread two years ago. If you are in a square pool, the probabilities are interesting. To use the charts, find your numbers for each quarter on the grid -- and remember that Indy was favored two years ago (New England is favored this year).
To see how various combinations of numbers have fared, based on every quarter of the past 43 Super Bowls, we computed the probability for each square to win at the end of each quarter. To inform our calculations, we also took into account which team was favored to win.

Read more here:
http://fifthdown.blogs.nytimes.com/2010/02/07/how-to-spot-a-winner-in-a-squares-pool/

We'll have our "quant fact" predictions for the Super Bowl out either Friday or Saturday.

Wednesday, January 18, 2012

Who Will Win the NFC Championship Game? (Jan 2012)

This year's NFC Championship Game is very interesting. We have a red-hot New York Giant team going up against a solid San Francisco 49ers squad that "quietly" put together a consistently great season.

As sports fans might expect, San Francisco shines in many statistics -- and this is true for the key championship characteristics that we study. In particular, the 49ers run an offense that can control the ball and is very mistake-free. In addition, although Giants fans have been talking up the Giant pass-rush and defense, San Francisco had the NFL's best defense this season.

The Giants have been red-hot, easily handling Atlanta in Round 1 of the playoffs 24-2, and then controlled most of the game against Green Bay, winning 37-20. The Giants ended the regular season on a strong note -- with a difficult schedule -- with wins against the likes of the Jets and Dallas (twice), before storming into the playoffs.

San Francisco got by New Orleans 36-32, and to many, the NFC Championship game pits strength (49ers) against a hot team with good momentum (Giants). We believe that the 49ers also have good momentum -- and for the most part, the championship characteristics point to San Francisco. Interestingly, our research, also says that momentum and a team's recent performance is sometimes overvalued.

As a result, our blog's official prediction is on the San Francisco 49ers. We do not have an official quant fact prediction on the AFC Championship game. New England is a fairly large favorite, but we note that the Patriots put together their regular-season record against a relatively weak schedule. In addition, Baltimore, as usual, boasts a top-notch defense and is battle-hardened because of their divisional rivalry with Pittsburgh.
___________

Carlton Chin, CFA, an MIT-trained "quant" and fund manager and Dr. Jay Granat, a psychotherapist and sports psychologist, wrote "Who Will Win the Big Game? A Psychological & Mathematical Approach." Chin is a specialist in futures and quantitative trading systems at CARAT / Adamah Capital and Granat is founder of StayInTheZone.com.


Wednesday, November 9, 2011

Quoted by Bergen Record on the NY Giants' 2011 Season

"Who Will Win the Big Game?" co-author, Dr. Jay Granat, was recently quoted by the Bergen Record:

The nightmares still haunt the Giants, hiding just beneath the surface.
In Tom Coughlin’s eight seasons, the Giants are 47-17 in the first half. They are just 24-32 in the second.
AP
In Tom Coughlin’s eight seasons, the Giants are 47-17 in the first half. They are just 24-32 in the second.
The Second-Half Collapse of 2008. And 2009. And 2010.

They’re still very much with the team.

“You just try not to think about it,” linebacker Michael Boley said. “The last couple of years we’ve been known to collapse toward the end of the year.”

The Giants are off to another strong start, just as they were in 2008. And 2009. And 2010.

But no matter how big Sunday’s victory over the Patriots was, and no matter how rosy things appear at 6-2 with a two-game lead in the NFC East, the specter of another second-half fade will hang over them until they exorcise those demons.

In Tom Coughlin’s eight seasons, the Giants are 47-17 in the first half. They are just 24-32 in the second.


Jay P. Granat, a River Edge-based sports psychologist and founder of StayInTheZone.com, said the Giants have two tremendous advantages they did not have in previous seasons...


Read more here:
http://www.northjersey.com/sports/pro_sports/football/Giants_hoping_to_avoid_another_second-half_meltdown.html


Dr. Jay Granat, a psychotherapist and sports psychologist, is co-author of "Who Will Win the Big Game?  A Psychological & Mathematical Approach" with Carlton Chin, CFA, an MIT-trained "quant" and fund manager.  Granat is founder of StayInTheZone.com and Chin is chief investment officer of CARAT / Adamah Capital.  

Wednesday, October 19, 2011

Hindsight = 20/20: The 2011 Dallas Cowboys

The 2011 Dallas Cowboys stand at 2-3 -- but remain a team to be reckoned with.  The Cowboys have had a tough schedule, playing the likes of the Jets, Patriots & Lions.  The Cowboys suffered three very difficult fourth-quarter losses to these teams, by a combined 11 points.  Without the three losses, fans and the media wouldn't be hounding Tony Romo & the Cowboys...  Let's rewind and take a look at the Cowboys' already-turbulent season (and we have just completed Week 6)!

Tough Loss #1 (NY Jets)

In Week 1, the Cowboys lost a tough game, as reported by the Washington Post, with this blazing headline "Tony Romo turnovers doom Dallas Cowboys in loss to New York Jets" --

After jumping out to an early lead against Rex Ryan and the New York Jets, the Dallas Cowboys failed to hold on to a 14-point fourth quarter advantage, ultimately conceding a Nick Folk 50-yard field goal that secured the Jets’ winning margin. 
Wide receiver Plaxico Burress had a touchdown catch as the Jets overcame a 14-point deficit in the fourth quarter to beat the Dallas Cowboys, 27-24

Read more here:
http://www.washingtonpost.com/sports/tony-romo-turnovers-doom-dallas-cowboys-in-loss-to-new-york-jets/2011/09/12/gIQASfYxNK_story.html


Tough Loss #2 (Detroit Lions)

A few weeks later, after beating San Francisco and Washington (also in close games), Dallas lost a heart-breaker to up-and-coming Detroit -- after holding a 27-3 third quarter lead.  ESPN reports:
the Lions provided further proof they're a legitimate contender by turning a 24-point, third-quarter deficit into a 34-30 victory over the Dallas Cowboys on Sunday.
 Detroit's defense started the rally with interceptions returned for touchdowns on consecutive drives, then Stafford and Calvin Johnson took over from there, hooking up for a pair of touchdowns in the final period, including a 2-yarder for the winning points with 1:39 left.

The "interceptions returned for touchdowns" on consecutive drives did not do much for Tony Romo's reputation.  Fans complained about the interceptions and play-calling.  The bad taste of another bitter loss was particularly bad for the continued hammering of Romo and the Cowboys (in the press and otherwise), with ESPN reporting:

Tony Romo and the Cowboys (2-2) continued to show there's no lead and no deficit too big for them. They blew a 14-point fourth-quarter lead for the first time in franchise history in the opener, and this was their largest lead blown in a loss in franchise history. 


Link:
http://scores.espn.go.com/nfl/recap?gameId=311002006


On Tony Romo and Volatility


After the loss to Detroit, fans and writers said that Tony Romo was on the "hot seat" -- and in some cases, wanted him benched.  Lest we forget, Romo remains one of the best QBs in NFL history, with the fifth-best career quarterback rating in NFL history.

While it is true that Romo and the Cowboys have suffered more than a few painful losses (including playoff losses), this may be  a combination of bad luck and "volatility" (importance of key plays) -- being magnified by a huge fan base (focusing on the negative, and airing out their feelings).  A cursory look at Romo's stats does not show systematic under-performance during the fourth quarter.

In the game of backgammon, experts often talk about "volatility," key points in the game, and the use of the doubling cube to exploit the situation.  Similarly, in the financial markets, high volatility implies that prices are likely to change considerably.  In football, concepts of volatility can be combined with game theory to help maximize in-game results for the team.

Tough Loss #3: New England Patriots

Even with these difficult losses coming into this past weekend, Dallas is considered to be one of the better NFL teams.  And they proved their mettle, with a great showing against the Patriots.  The Cowboys led the Patriots 16-13 with 3:36 left in the game.  This is when controversy arose:

With the lead and just 3:36 left to go, the Cowboys ran the ball three times -- and went three-and-out, with a penalty, as follows:

  • First and 10 at the Dallas 28 (3:36): run up the middle for -2
  • Second and 12 at the Dallas 26 (2:52): run right tackle for -1
  • Timeout #1 by NE at 2:47
  • Third and 13 at Dallas 25 (2:47): penalty on Dallas (False start)
  • Third and 18 at Dallas 20 (2:47): run right tackle for 8 yards.
Dallas then had to punt and the rest is history, being repeated.  Tom Brady led his Patriots down the field for a winning touchdown.  

Some fans think that the Cowboys played things too safe -- and believe the Cowboys should have passed the ball -- and potentially increasing their chances for a first down.  Here is one example, by an author we highly respect:  



Summary

Many of us love sports because drama often plays out and controversies often arise.  Reading so many articles about Tony Romo and the Dallas Cowboys over the past few months made us think that, "Hindsight is 20/20..."

Dallas is in the bittersweet position of having a large following.  When things go badly, there are many detractors and naysayers.  On the other hand, there is the saying, "Any love is better than no love."

Do we think the Cowboys should have passed the ball?  Using concepts of game theory and volatility, we do not believe that there is any set right or wrong answer for this specific situation.  A simple model of game theory says that the proper strategy is to mix things up.  

Based on this model, taking the riskier path MAY have been a decent path.  However, based on the difficult losses earlier in the season, the risk/reward could have been devastating for an already wounded Romo psyche.  Based on this back-of-the-envelope analysis, we like the decision to run -- and wished, for the Cowboys' sake, that they got a first down -- or that the defense held.


In the end, teams need to execute: in this case, the Dallas offense didn't get the first down with the three rushes -- and the defense couldn't stop Tom Brady's Patriots.  In psychology, people often focus on the negative.  Fans remember losses -- and especially painful losses -- more deeply.

Outlook

The Cowboys remain in the middle of a tight NFC East race.  The division is one of the strongest in the NFL, with the Eagles (formerly the Dream Team!) in the cellar.  It is also notable that the current leaders of the division, the NY Giants, have one of the toughest schedules in the league for the remainder of the season.  In addition to their strong NFC East divisional rivals, the Giants will face New England, the Jets, New Orleans and Green Bay during the playoff stretch.

Dallas does not have a schedule as difficult as the Giants -- but they will need to execute, be careful of volatility, and use these tough losses as a "stepping stone" rather than as a distraction.

***

Carlton Chin, CFA, a fund manager and MIT graduate, and Jay Granat, PhD, a psychotherapist, study and quantify concepts of sports analytics and sports psychology that can help teams and sports organizations improve results.  Our work has been featured in the New York Times and Wall St. Journal.  We would like to work with your team or organization -- and welcome research projects related to sports analytics and / or sports psychology.  Recent work has involved the development of computer game simulators that can be used to study game situations and strategies in baseball and football.


Saturday, February 5, 2011

Super Bowl Stats

These numbers are not related to sport psychology (check our NY Times article out for that), but with the Super Bowl coming up, we thought you might find these stats interesting.

Will the Game be Close?

We've been spoiled lately, because many of the recent Super Bowls have been close and exciting games.  In particular, 4 of the last 7 games have been decided by 4 points or less.  

And, due to the nature of the game (Conference Champions are competing!), many fans expect close games. However, do you remember the blowouts we've had in the past? Let's take a look at what the past Super Bowl numbers say:
  • About two-thirds of Super Bowls are decided by 10 points or more, and
  • About 50% of the games have been decided by 14 points or more.
How Many Points Might be Scored?

Here's a look at the average total points scored in the Super Bowl, by half, and in total. We looked at three sets of games: every Super Bowl, games since 1983 and games since 1994 (the years listed in the charts are based on the regular season; this includes every Super Bowl through Feb. 2009, excludes last year).

1st Half
2nd Half
Total
All Super Bowls
21.3
24.1
45.4
83-08
23.6
26.9
50.5
94-08
21.6
27.3
48.9


How do Underdogs perform in the Super Bowl?

Recent underdogs have performed well in the Super Bowl:
  • 3-0 in the last three Super Bowls,
  • 7-2 in the last 9 Super Bowls, and
  • 9-4 in the last 13 Super Bowls.
However, if we look at every Super Bowl played, the underdogs are:
  • 20-21-3 in forty-four Super Bowl games. Slightly subpar, with 3 pushes.
  • When the point spread is 5 points or less (like this year), the underdog is 9-8.

Super Bowl Square Pool Probabilities (NY Times)


If you are in a Square Pool, the New York Times published our Super Bowl Square Pool Probabilities last year (both online and "in print" on Super Bowl Sunday).  The charts show the probability of winning a Square Pool by quarter, based on the underdog and favorite.  To use the probability charts this season:
  • replace last year's underdog, the Saints with the Steelers, and 
  • replace the favorite, the Colts, with the Packers.  

Then, look up the numbers you received to view your chances of winning any particular quarter. 

Special thanks to Don LaFronz, a financial advisor and good friend, who originated the idea and helped devise the methodology.

Carlton Chin is a graduate of MIT and a fund manager at Adamah / CARAT Capital.  Jay Granat is a psychotherapist and founder of StayIntheZone.com.