Posts Tagged ‘Football’

NFL Picks: Week 4 (updated)

UPDATE: Some of the lines moved a little, so some of the bets have changed a little. The most significant change was the single half-point in the Cincinnati – Cleveland game causing Gamblor to triple its bet. A similar change also cause it to boost its bet in the Tampa Bay – Washington game. And they finally posted a line in the Seattle – Indianapolis game, though the bet didn’t change much and neither did my opinion.

I was hoping I’d be able to wait a little longer into the season to run with this clip, but unfortunately…

(To watch this video, right-click and hit “play”)

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Gamblor had its first losing week of the season, coming in with a weighted win percentage of 39.1% and hitting just 6 out of 16 picks. It was particularly tough to watch its biggest pick — Buffalo — stay alive all the way into the fourth quarter before crumbling. And surprisingly enough, the lowly Rams were alive into the fourth quarter as well. All in all it could have been far worse, as the computer only ended up dropping $61.75 based on total bets of $271.49 (a summary of last week’s performance is here). My own picks were pretty solid, going 9-7. I’m still resentful that Vegas switched the line on the Denver-Oakland game; it seemed obvious that the books were panicking when they moved the line so much so quickly. And like most non-Redskins fans out there, I found it heartening to see Detroit finally break their losing streak. (more…)

NFL Picks: Week 3 (updated)

UPDATE: A few minor tweaks in the spread have changed my bets a little bit, but nothing more than half a point or more than few dollars. Gaining the half point in Chicago made the computer a bit less enthusiastic about the Bears, and the change on the Dallas line led to the computer switching its pick, since a single hedge bet came in on the side of Carolina. A new summary sheet is here. Still no line on the Philadelphia game.

UPDATE 2: Ah, finally. The line on the Philadelphia game is up – the Eagles are favored by 8.5 points. Which means that Gamblor would like to place (gulp) a $31.50 bet on the Chiefs. My thoughts are summarized below.

I really enjoyed my Sunday last week. In the morning, I watched my chosen team (the Raiders) put together a sensational drive late in the game to come from behind and pull out an improbable win (and win some money for me). In the afternoon, my girlfriend and I watched her chosen team (the Bears) put together a sensational drive late in the game to come from behind and pull out an improbable win (and win some more money for me). In the evening I went out and saw We Were Promised Jetpacks, The Twilight Sad, and Frightened Rabbit play a corker of a show at the Knitting Factory. It was a good day. Last week I mentioned that I’d be impressed if Gamblor could beat his Week 1 weighted win percentage of 77.5%. He didn’t, but he came awfully close, nailing 75.1% of his picks – and finishing 11-5 for the week (tabulated summary is here). My own picks were a little better, going 9-7, which brings me to even for the season. As I mentioned before, you’re better off listening to the computer, not me.

You’d expect that Vegas would have enjoyed their Sunday as well, as the week featured a number of close games and underdogs prevailed in 9 of the 16 games. Unfortunately, the bettors were a little bit too savvy and correctly identified Oakland and Baltimore as the same kind of dogs I’d like to see set loose on Michael Vick’s testicles. So the books took a beating, and likely will try to recoup their losses this week. I find Gamblor’s picks a bit unsettling this week, as it only likes one favorite in the entire slate of games. Then again, it only liked one favorite last week too, and it’s awfully hard to argue with those kinds of results. This week, the computer is making a grand total of 1464 hedge bets – its sixth most ever. For some historical context, the most hedge bets it has ever made was 1806, which happened in Week 15 of 2005. In weeks that it has wanted to make this many hedge bets, it has actually done quite well – when making 1200 hedge bets or more it has been profitable 13 out of 22 times – with an overall win percentage of 57.2%. So I’ll swallow my concerns and let Gamblor continue (I hope) to work his magic.

One of the reasons the computer is so enthusiastic about underdogs this week is because many of those underdogs are playing at home. Some of the tougher teams in the league (New Orleans, Green Bay, New York Giants, and Pittsburgh) are headed out on the road against comparatively weaker teams (Buffalo, St. Louis, Tampa Bay, and Cincinnati), which means that although we’ll probably see at least one upset, it’s virtually guaranteed that a few unlucky cities will have to watch their teams get slaughtered on their own home fields. Which brings me to my feature for the week… (more…)

NFL Picks: Week 2 (updated)

UPDATE: The lines wiggled a little bit before I placed my bets, so I updated the lines and the bet amounts to reflect my wagers. The only major change was the line in the Jets game dropping from +5 to +3.5. Smells like a trap to me. Here’s a summary sheet of the computer’s picks if you want to follow along at home.

Wow! For those of you who decided to blindly trust some guy on the Internet in his first week of making football predictions, congratulations! The computer hit the ground running, nailing its top three picks and five of its top six en route to a dazzling weighted win percentage of 77.5% (tabulated results are here)! I hope this isn’t the finest week the computer has this season, though it has set the bar awfully high for itself. Overall, the computer pulled in a profit of $156. My own personal predictions were much less impressive; I was 7-9 for the week. Some of my assessments were dead-on (Philadelphia, Atlanta, Minnesota, Green Bay), I was wrong about the particulars but ultimately prevailed on a couple (Buffalo, San Francisco), and on some I just flat-out missed the mark by a mile (Seattle, Oakland). And there were a pair of games where I was tantalizingly close to being correct. The first was my weeklong dream that Detroit would sneak in a backdoor cover against the Saints — which almost came true. They made it all the way to New Orleans’ 36 yard line with 5:00 left before Stafford tossed his third pick of the day and New Orleans put together a long drive to finish killing the clock. The second brings me to my feature for this week:

The Top 5 Indescribably Idiotic Decisions of Week 1.

insertbrainIs there anything more satisfying than second-guessing the decisions that players and coaches and referees make while they are in the midst of intense pressure, deafening crowds, and hurtling bodies that collide with such force that it’s a wonder fission doesn’t take place? Monday morning quarterbacking is one of the guiltiest delights of the game of football. The tactical nature of the game enables us to pick through every play in slow motion and critique every missed block, every mistimed route, every blown coverage that occurs during the course of a single play. There’s no sport that gives us a better chance to say “…if only” and be absolutely certain that if that receiver had just thought to lateral the ball before getting laid out by the safety while he was six inches short of the first down marker, the outcome of the game if not the ENTIRE SEASON would been totally different.

Of course, it’s not always tactical mistakes that raise our ire. Sometimes players can do things that are so mind-numbingly, soul-crushingly stupid that you want to reach into your television set, take off their helmet, and beat them about the ears with it. Players will call for a fair catch at the one-yard line, try to scoop up fumbles they should have just pounced on, spike the ball in the middle of a play, and casually run out of the back of the end zone as though the field were ten yards longer. Blooper reels are filled with players displaying magnificent lapses in judgment. Leon Lett’s entire legacy is built on a pair of these plays. It sometimes makes you wonder whether suffering a coma-inducing concussion would actually make some of these guys smarter. Here are my nominees for what I think are the most boneheaded decisions of the first week of NFL football:

5. Hines Ward, Tennessee vs. Pittsburgh. Once he’s inside the ten, all he’s got to do is protect the ball, let them kill a bit of clock, and then Jeff Reed would handle the rest. Instead, by trying to fight his way through for a touchdown, Ward fumbled away a sure victory and put the game in jeopardy. Without the good fortune of winning the coin toss, Pittsburgh could easily have lost this game.

4. NFL Officials, San Diego vs. Oakland. Absolute horseshit, and I’d say this even if I hadn’t been a Raiders fan since the age of seven. If a player has two feet down and has control of the football in the end zone, it’s a touchdown. End of story. Anything that happens afterwards is irrelevant. I don’t remember the league contorting themselves into sixteen different positions to explain why this was ruled as a touchdown. According to their own assessment of what the completely undefined term “going to ground” means, they applied the rule correctly. Except just like the “tuck rule,” it’s a terribly defined rule that whose inadequacies should have been blatantly obvious to them the instant it was committed to paper.

3. John Harbaugh, Kansas City Chiefs vs. Baltimore Ravens. With thirty-one seconds left on the clock, the ball on the Kansas City goal line, and a seven point lead, Baltimore coach John Harbaugh decides to try to run it into the end zone to build a fourteen point lead, cover the spread, and earn the eternal enmity of all the bookies in Las Vegas. What are the odds of getting a touchdown on fourth and goal from the 2 yard line? About 43%. From this distance, a field goal is essentially an extra point, and what are your chances of connecting on that? 98%. I know Harbaugh’s kicker is effectively a rookie and this ended up being irrelevant when they scored the touchdown, but this is an incredibly bad decision by an otherwise intelligent coach.

2. Patrick Mannelly, Chicago Bears vs. Green Bay Packers. This was a disastrous decision, but at least there was a certain logic to it. Mannelly correctly noted that Green Bay had twelve men on the field and tried to take advantage of it, snapping the ball directly to running back Garrett Wolfe with the prospect of getting a free play; either Wolfe runs for the first down and the penalty is declined, or Wolfe fails and the Bears punt from five yards further forward. Unfortunately for Mannelly, by the time he snapped the ball the Packers had cleared their twelfth man and there was no penalty – giving Green Bay the ball deep in Chicago territory with just twelve minutes left in the game.

1. Leodis McKelvin, Buffalo Bills vs. New England Patriots. Wow. Leodis managed to fuck up this play in just about every possible way. Instead of taking a knee in the end zone, he runs it upfield. Possibly in a quest for late-game glory, possibly in an ill-advised attempt to run the clock down to the two-minute warning, either way it’s a bad idea. And then, rather than finding his way towards the relative safety of the sideline, he darts up the center of the field and plunges into a crowd of tacklers (who have undoubtedly been properly coached by Beilichick to STRIP THE BALL in this situation). And then, rather than go down at the first sign of contact, he tries to stay on his feet and muscle through, prolonging the play until the Patriots gleefully strip him of the ball and the kicker – the kicker – recovers the fumble. I’m not sure we’ll be able to top this level of ineptitude this season, but if we do, it’s going to have to be something special.

Without further ado, here are your picks for Week 2!

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NFL Picks: Week 1

Welcome to Week 1! I can’t tell you how excited I am for this football season to get started. Vegas set the lines for these games almost a month ago, before preseason even began, and there’s been a bit of movement in a few games since then, but most lines have stayed pretty much the same. I think many people put a lot of stock in the changes that teams make from season to season (draft picks, free agent signings, coaching and system changes) but in truth the players and philosophy that make up the team’s core rarely change all that much during the offseason. Vegas tends to use this misconception to set a few traps. The computer’s historical performance in Week 1 doesn’t deviate much from its overall performance; the Weighted Win Percentage (WWP) is 54.3% compared to a lifetime WWP of 55.6%. Hedge bets during the first week tend to perform poorly, but this is balanced by the flip bets, which do quite well. There’s only one team that the computer is 90% confident about this week, and that’s the Atlanta Falcons. But the largest bet of the week is actually Philadelphia, where over 1/3 of the models call for a bet on the Eagles with 85% confidence. The other big bets are hedges on Denver, Detroit, and Oakland. It’s important to remember that the lines you see here are from when I placed my bets, and don’t necessarily reflect the final lines on each game. It’s also important that you listen to the computer, not me. The computer is better at this than I am. (more…)

I call him GAMBLOR! (Part 2)

Last week I explained a bit about how my prediction model came into being, and how it works. The “flip” component of it, which identifies questionable spreads and presumes a trap is being set, is responsible for the majority of the money the computer bets each week and primarily focuses on favorites. But there’s also a “hedge” component, which bets exclusively on underdogs.

In general, bettors prefer favorites, mainly as a psychological spillover of the fact that favorites win the actual game 66% of the time. But the spread is a powerful equalizer. The Detroit Lions lost all eighteen games last year. They were the worst team in NFL history. They got beat by more than 17 points seven times. They kept the final score within a touchdown only three times. And yet Vegas set the spread at 11 points or greater only seven times during the season. And every single time – every single time – the Lions were able to keep the game close enough to cover it.

In the last twelve years, underdogs have won 51.5% of the games against the spread. So statistically, the underdog is the better side to bet. And the prospect of betting on home dogs has been well-publicized; they have won money 52.2% of the time in the last twelve years. But the last two years have been pretty tough on home dogs; their overall record against the spread is 76-90-3 – a win percentage of just 47.5%. Blanket projections like this are a dangerous way to bet, as are most trends – they’re statistical fluctuations which are just as likely to bounce back (particularly if they are well-known) as they are to uphold their performance.

cardsharksThere’s a statistical phenomenon called “regression to the mean” which refers to the tendency of sequential outcomes to find their way back towards the center of the distribution. The further away from that “center” that any one particular outcome lies, the more likely it is that the following outcome will be closer to the center than the last. The easiest way to envision this is with the classic game show “Card Sharks” (or perhaps the drinking game high-low-red-black). Players would be dealt a card and have to guess whether the next card would be higher or lower. When presented with a low card (for example, a four), most contestants would (wisely) predict that their next card would be higher. Of course, there is no inherent skill involved in this process; it’s simply a matter of luck. And attempting to apply this to football, where skill is very much a factor in determining the outcome of a game, must be done carefully. But luck is also a factor in football games, as well as the tendency of lousy teams to improve and talented teams to deteriorate. And in cases where the spread is perfectly balanced, the underdog has an inherent edge because both of these factors work in its favor.

Each week the computer identifies four or five favorites that pass muster under the “flip” method. Based on the model’s past performance, these favorites should have an above-average chance of winning. Which means that amongst the remaining games, any given underdog has a slightly higher chance than the base of 51.5%. It only takes a small edge to get over the breakeven point – and by taking the games where the computer sees a spread as being set perfectly (less than a 55% confidence level), it’s possible to take advantage of this plus the “regression to the mean” potential. The hedge bets aren’t as powerful – they only hit 53.4% of the time, but they make things more interesting.

The betting scheme I used last year and plan to continue this year is based on a steady growth strategy. Hedge bets are given a weighting of 1. Confidence levels of 85% are given a weighting of 3. Confidence levels of 90% are given a weighting of 8. Confidence levels of 95% or better are given a weighting of 25. Each week, the base amount grows by 1%. For the first week of 2009, the base amount is $0.21. Which means that if ten of the models picked Dallas at a confidence level of between 85% and 90%, the total bet for the game would be $6.24 (0.21 x 3 x 10).

Occasionally, when one of the teams has particularly volatile statistics, it’s possible for the “flip” scheme and the “hedge” scheme to come into conflict. In this case, the computer will side with whichever scheme dominates (after weighting) and subtract the weaker side’s component from the overall bet. Sometimes the two schemes agree, in which case the total bet is the sum of the two. The graph below shows the performance after eleven years, based on a starting value similar to what I’ll be starting with this year.

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It would have taken quite a bit of faith to stick with the computer during the lean years of 2000 to 2001. But the boom years between 2002 and 2006 more than made up for it. The model took a bit hit at the end of 2007 and the beginning of 2008, but with sufficient faith it’s shown a pretty spectacular return. This progression is based on 10% juice (and includes pushes), but I make an effort to take advantage of nickel (5%) juice whenever I can – it makes a pretty significant difference over time.

Stop by next week – I’ll have my picks for the first week of the season.

I call him GAMBLOR! (Part 1)

simpsons nerds computersTwo years ago, after being introduced to the computer program MATLAB at work, I conceived the brilliant plan of writing a computer program to pick the winners of football games against the spread. Armed with a semester’s worth of statistics expertise and a powerful processor, I was confident that I could beat the odds. It seemed so simple to outsmart all those silly rubes making bad bets based on their “gut instincts.” What fools! A clever fellow like me could harness the power of a “little magic box” and elevate myself to the financial status of a king.

My original theory was that Vegas set the point spreads for each game based on public perception – that they were angling to have about 50% of the money on each side. I figured that I could use the statistics from previous games to determine what the “true” spread should be, and it would be an easy way to pick winners. I entered five seasons’ worth of data by hand – point spreads, rushing yardage, turnovers, etc. – and set the computer loose to choose its own algorithm based on what would have worked best the previous several weeks. Based on a large-scale simulation, I thought its odds of working would be pretty good.  Unfortunately, all the program really did was pick underdogs – the bigger the better. And in a season where favorites beat out underdogs 127-116 (including a Patriots squad that covered increasingly outlandish spreads the first eight weeks in a row), it turned into a pretty expensive lesson of what happens when you “overfit the curve.” (more…)

Numberscruncher: Football and Finances

It’s been a bad time for NFL quarterbacks. Bernie Kosar, who played for the Browns, Cowboys, and Dolphins, filed for bankruptcy.  Ryan Leaf, who played for the San Diego Chargers followed by brief stints with the Cowboys and Seahawks, was arrested for trying to flee the country to avoid facing charges of burglary and obtaining controlled substances: painkillers. And Steve McNair of the Titans and a team formerly known as the Cleveland Browns was found shot by a gun that had been purchased by his 20-year-old girlfriend — who was also shot.

The pro-athlete-gone-bad story is almost as trite as dog-bites-man, but each new case hits the headlines. Maybe it’s schadenfreude, maybe it’s human interest. After all, there is no male more alpha in American culture than an NFL quarterback. These people work unbelievably hard and get hit more times than anyone should, but they also have been on top in high school (dating the prettiest girls, getting a nod and a wink from teachers at test time), in college (provided with professional women, attending special classes with special tutors), and then in life. They were groomed for two things: football and stardom. (more…)

How Bad Can It Be?: Fightstarters

The point of a column like this is not to be a consumer guide, or to give “thumbs up”/”thumbs down” to the latest media product (which is just as well since Ebert owns the whole thumbs-up thing and could sue the pants off me for copping his gimmick). I’m trying to engage some of the ideas underpinning popular culture — notions of authenticity, influence, presentation, expectation — and kick them around to see how they fall. I’m trying, in short, to start a conversation.

And sometimes I’m trying to start an argument. It falls to the critic sometimes to assume a contrarian stance, either by default or by design. The aim is not simply to be disagreeable, not to reflexively oppose received wisdom, but to take nothing for granted. By taking an opinion that “everybody knows” is wrong, you put your interlocutor in the position of defending the view that “everybody knows” is right, and examining why it’s right. And that’s how you get at deeper truths.

And so, in the spirit of the pursuit of knowledge (and also in the pursuit of pissing people off, why isn’t particularly helpful but which can be a whole lotta fun), here are my fightstarters — a selection of my contrarian, heretical, or just plan Wrong ideas about pop culture. You may disagree: in fact, that’s kind of the point.

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The Top 10 Techniques that Hollywood Learned from the NFL

Every great football game, at its heart, is like an action movie. Once you cut out the commercials and halftime, they’re both about the same length. They both build along the same story arc. Depending on your home city (or which side you happened to gamble money on), each game has a protagonist – a burly male hero – with a few trusted allies that faces down an black-hearted maniac and his band of unforgivable, faceless thugs.

Hollywood has made dozens of football movies in recent history. Every year at the studios churn out least one football film – and some years will see as many as four or five football stories committed to celluloid. With Hollywood’s recent love of biopics, it’s safe to assume that more than a few famous players will see their lives and careers dramatized on the big screen. And few things satisfy an audience like the rags to riches story of a league doormat surging to the championship. But as much as the studios love to bank on an underdog story to fill out their quarterly income statements, few football films have actually managed to appeal to more than a niche market. And fewer still have managed to garner any kind of critical acclaim.

But Hollywood has learned that even if pure football can’t deliver box office rewards, the game of football is exciting to watch. And the techniques used by football players can be used to deliver some terrific sequences. This countdown takes a look at some classic techniques used in football and how Hollywood has managed to capture the essence of what makes it so very entertaining to watch – and used this to enhance their own unique stories.

Follow me through the hole to see the top ten techniques that Hollywood has learned from the NFL…

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