The Chiefs lost to the Broncos 24-17 on Sunday and had a chance to at least tie the game at the very end. Kansas City kept Peyton Manning off the field for an enormous chunk of the second half. The Broncos offense had only two drives after halftime (not including the final kneel down), one for a punt, one for a field goal, totaling just 8:51 in possession. The longest drive came from the Chiefs at the very start of the second half, where they ran 23 plays, taking 10 minutes off the clock... and ultimately missed a field goal. This got me thinking, how does drive length (in minutes) affect the probability of a team scoring?
First, here's a look at the ridiculous drive using our Markov model:
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Chiefs Crawling Drive, Come Away With Nothing
SOE: Weekly Game Probabilities
Nick Foles and Interception Index Regression
With one week of the 2014 season in the books, Foles and McCown have already matched that combined total. While everyone should have expected both to regress from their remarkably turnover-free 2013 seasons, that does not tell us how far each should regress based on historical norms.
Podcast Episode 28 - Chase Stuart
Chase Stuart rejoins the show to break down the surprising week one winners and losers. Chase shares his observations from the Jets home opener and explains some of the weekend's more intriguing game scripts. He also examines the data on exactly how important week one results are in predicting the season while looking ahead to the most intriguing week two match-ups.
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Simulating the Saints-Falcons Endgame
I previously examined intentional touchdown scenarios, but only considered situations when the offense was within 3 points. In this case NO needed a TD, which--needless to say--makes a big difference. Yet, because NO was on the 1, perhaps the go-ahead score was so likely that ATL would be better off down 3 with the ball than up 4 backed-up against their goal line.
This is a really, really hard analysis. There's a lot of what-ifs: What if NO scores on 1st down anyway? What if they don't score on 1st but on 2nd down? On 3rd down? On 4th down? Or what if they throw the ball? What if they stop the clock somehow, or commit a penalty? How likely is a turnover on each successive down? You can see that the situation quickly becomes an almost intractable problem without excessive assumptions.
That's where the WOPR comes in. The WOPR is the new game simulation model created this past off-season, designed and calibrated specifically for in-game analytics. It simulates a game from any starting point, play by play, yard by yard, and second by second. Play outcomes are randomly drawn from empirical distributions of actual plays that occurred in similar circumstances.
If you're not familiar with how simulation models work, you're probably wondering So what? Dude, I can put my Madden on auto-play and do the same thing. Who cares who wins a dumb make-believe game?
Analyzing Replay Challenges
Most challenges are now replay assistant challenges--the automatic reviews for all scores and turnovers, plus particular plays inside two minutes of each half. Still, there are plenty of opportunities for coaches to challenge a call each week.
The cost of a challenge is two-fold. First, the coach (probably) loses one of his two challenges for the game. (He can recover one if he wins both challenges in a game.) Second, an unsuccessful challenge results in a charged timeout. The value of the first cost would be very hard to estimate, but thankfully the event that a coach runs out of challenges AND needs to use a third is exceptionally rare. I can't find even a single example since the automatic replay rules went into effect.
So I'm going to set that consideration aside for now. In the future, I may try to put a value on it, particularly if a coach had already used one challenge. But even then it would be very small and would diminish to zero as the game progresses toward its final 2 minutes. In any case, all the coaches challenges from this week were first challenges, and none represented the final team timeout, so we're in safe waters for now.
Every replay situation is unique. We can't quantify the probability that a particular play will be overturned statistically, but we can determine the breakeven probability of success for a challenge to be worthwhile for any situation. If a coach believes the chance of overturning the call is above the breakeven level, he should challenge. Below the breakeven level, he should hold onto his red flag.
Eagles Escape Embarrassment
Let my bias not be unknown, I am an Eagles fan. Watching Nick Foles fumble twice, throw an interception, and Chad Henne connect with rookie Allen Hurns twice for touchdowns -- all in the first half -- was one of the more frustrating ways to start the season. The Eagles were lucky to only be down 17-0 at halftime. On the opening drive of the second half, Philly converted twice and Nick Foles connected with Darren Sproles for eight yards on 3rd-and-9, bringing up a 4th-and-1 at the Jaguars 49-yard line.
Chip Kelly is known for his progressive thinking and he didn't hesitate -- calling for a hurry-up, one of the first times the Eagles really played up-tempo in the game. The Jaguars safeties got crossed and a huge gap opened up as Darren Sproles ran untouched for a 49-yard score. The Eagles would not look back and ultimately went on to win "handily," 34-17. Had the Eagles not converted, though, Kelly would likely have been ridiculed for his call as it could have effectively ended the game (dropping Philly's win probability to 5.4%).
Let's look at the fourth down call, taking into consideration the relative strength of the two teams.
Weekly Game Probabilities: A New Home
For now the score predictions are simply maximum-plausibility estimates. (Yes, I just made that term up.) Predicting an actual score for each game is statistically boring. With few exceptions, a statistically sound estimate would be 24-20 or 27-21 for every game, so I've added some of the human element to the score predictions. The bottom line is that readers should focus on the probabilities and don't bet the mortgage on the scores.
The game probabilities will be matched up against the picks of Will Lietch, one of the cornerstone writers at SOE. The idea is to create a friendly competition between man and machine.
The game probabilities had a great run at the New York Times--5 years. But there are only so many thought-provoking or counter-intuitive lessons on probabilities and predictions that can be squeezed out of a week of NFL games. But AFA will continue working with the Times on various projects as the season unfolds.
Here's the link to the probabilities for week one. For those keeping score at home, I had the Seahawks at 66% to win last night.




