EA Simulation Correctly Picked Super Bowl Champs in September 124
Just_Say_Duhhh writes "Before the NFL Season started, the guys at EA Sports simulated the entire season using Madden 2011. The sim told them the Packers would win the Super Bowl. If only we had listened. What's even more interesting is that according to the article, they've picked the winner 6 of the last 7 years. Make that 7 out of 8!"
Re: (Score:2, Interesting)
What the story doesn't mention, is that the Super Bowl was played on Madden '11 a few thousand times and the Steelers won a little over 70% of the time.
EA had press releases for Madden '11 going both ways. We were going to get a Madden '11 story today no matter what.
Re: (Score:3)
I play a lot of EA NFL Head Coach '09 (based off of Madden 08 engine and Madden 09 AI), and you will see significantly different results on multiple simulations, and you can see radically different results by changing just one or two variables.
"Any given Sunday" is still pretty much true for now. Accurately predicting an entire NFL season with it's hundreds of thousands (probably millions) of variables is probably only one small step below an accurate weather prediction model for the same time period.
Re: (Score:2)
Re: (Score:2)
True. I didn't think about that. So, at this point, we pretty much need a simulation of every atom in the universe to produce an accurate result.
How the hell are we going to even get a set of initial conditions for that?
Wait, anybody got a piece of fairy cake?
Re: (Score:2)
Re: (Score:3)
I mean, it would have been ok if they'd gotten rid of the 3x guys up there that couldn't sing and just had the chick on there that could (Fergie?)...
The lightshow, and Slash were fun...but ugh...those three tone deaf guys that can't even sound good through the vocoder type machines just hurt the halftime show.
Well... (Score:1)
Re: (Score:3)
If you want to complete the play, you're going to have to hold on to the ball.
Re: (Score:1)
Re: (Score:2)
(not that realism necessarily even makes a game fun).
Witness the decline and fall of the flight simulator industry ( *** now including TSA groping in every box!)
Re: (Score:1)
Re: (Score:2)
IIRC they actually use a tweaked version for their season prediction simulation that's more realistic than the one released to the general public.
I think Madden is schitzo...... (Score:5, Interesting)
Re: (Score:1)
Re: (Score:2)
In commercial statistics, periods may vary. For example, the first result -if negative- may be omitted to obtain more positive average result.
In Soviet Russia, statistics vary you.
Re:I think Madden is schitzo...... (Score:5, Informative)
Seems like there may be two simulations here, a full-season simulation done before the start of the actual season, and a one-match simulation of the final alone done shortly before the actual final. The former came up with the Packers, the latter picked the Steelers.
Re: (Score:3, Insightful)
Re: (Score:2)
Pray tell how you could have picked the winner with 50% accuracy with a coin when there are 32 teams.
There were, after all, 32 teams in September when the accurate simulation was done.
Re: (Score:2, Funny)
It's a damn good coin.
Re: (Score:2)
Re: (Score:2)
yes, because your coin has 32 sides.
they didn't run the sim before the game. the ran it before the SEASON
"Before the NFL Season started..."
Re: (Score:2)
Re: (Score:1)
I only scanned TFA but I can't seem to find where it says who they played against. Was it Green Bay vs. Steelers? Or was it a different team? This is a weighted 1 in 32 chance whereas predicting that the Steelers would also make it but would eventually lose is far more impressive. I get the impression this wasn't the case.
Re: (Score:2)
Re: (Score:2)
Re: (Score:1)
Re: (Score:2)
Yup if you want a "real" prediction, look at betting odds. Those guys are far more accurate than any videogame sweatshop.
Re: (Score:2)
Actually, the pros aren't as good as you might think. In this case, they did choose the packers over the steelers, but they predicted a margin of 3 points. It eneded up being 6. They also chose a total score (both scores added together) of 45, and the real total was 56. That wasn't even close. They did predict the steelers would win (regardless of margin) and gave 1.5:1 odds.
Further, back at the start of the season, green bay was not a favorite to win at all.. i don't recall the exact odds, but they we
Re: (Score:1)
And you have to consider .. what The Pros are REALLY predicting is a spread that will cause the money to be bet half on side and half on the other.
Re: (Score:2)
Also, the Packers weren't really [catscratchreader.com] very middle of the pack.
Re: (Score:2)
I'm aware of that. That was part of my point. Looking at what the sportsbooks post as the winner may, or may not be anywhere near what their actual opinion is.
When there is an overwhelming majority of the public that believes one side will will, the odds will reflect a number where half the public will take the other side, even if they think the "winning" side will win. No book wants to be lopsided with a handle of 10's or 100's of millions, unless they're very opinion in a way that is opposite of the pu
Re: (Score:1)
Re: (Score:2)
The big difference is in the players. At the beginning of the season, the simulation would have run with a fully stocked Packers team. Since that time they have lost 13 players from their opening day roster, including their starting running back and a Tight End who looked like a very key piece to the offense. Obviously the Super Bowl simulation was done with these guys pulled off the Packers roster. This actually makes complete sense.
Half-time show (Score:2)
But did it predict how bad the half-time show would be?
Re: (Score:1)
Re: (Score:1)
Re: (Score:2)
murdered? Somebody is being kind ;-)
Re: (Score:2)
And sadly...THAT moment was the highlight of the whole halftime show!!!
Now...if they could have had a wardrobe malfunction with that Fergi chick..it might have made it all worth while. I gotta imagine hers don't sag as bad as Janet's did that year...ick.
Re: (Score:2)
Re: (Score:2)
with enough chances, all coincidences are shallow. (Score:4, Insightful)
1. run enough independent simulations to predict each team as winning in one of them.
2. only report the right one
3. profit!
protip: replace "team" with "drug," and "winning" with "effective," for supermegaprofit!
Re: (Score:1)
1) Pick 1024 victims
2) Pick 1 volatile stock
3) To 512 victims, say the price will go up, to the others, say it will go down
4) Wait 5 days, then pick the half which were right
5) GOTO 2 (ok, you could use recursion instead, or a loop)
6) When you get to 8 victims, point out that you've been 100% accurate 6 times in a row and get them to invest a lot of money
7) Profit!
Re: (Score:1)
Mathnet (Square 1) covered this in 1990 with "The case of the swami scam" (in New York)
http://www.tv.com/mathnet/the-case-of-the-swami-scam/episode/236553/summary.html
Re: (Score:2)
Re: (Score:2)
Except, as you might notice, TFA is from September 2010, so it's not a retroactive reporting of the one simulation of many that happened to get it right.
Re: (Score:2)
Yes but would the story be appearing on slashdot if they had gotten it wrong? Or would slashdot have simply run with the story of a different simulator which happened to get it right?
With "7 out of 8" picks they may be on to something (depending on how many teams are actually viable and how many independent simulations are being run). But, then again, the fact that the simulation predicted Steelers would win the actual match, and that extrapolating backwards the system only becomes more chaotic, makes
Re: (Score:2)
This is like all the "momtuition" crap on CNN. CNN only reports the successful cases of mom using her mom-sense to "know" that the doctors are wrong and by luck is. They don't report the bulk of the cases where mom is wrong (with possibly fatal results) and the doctors were right.
Re: (Score:2)
Well, if you actually bother to read TFA - you'll note the date is prior to the start of the season. So you're scenario is basically impossible.
Re: (Score:2)
ah yes, of course, because that paragon of journalism, Wired magazine, reported it.
this shit happens (sometimes unwittingly) to real scientists. somehow i'm just not trusting EA Games at their word...
Re: (Score:2)
Re: (Score:1)
OK, that's one for one. Whoop-dee-doo. What makes this interesting is the 7/8 claim. Please produce seven years of historical articles. Maybe they're out there and all vetted; I don't give a fuck.
Re: (Score:2)
oh, the "What? I was wrong? Well, let's shift the argument a few feet over to the left and try again.. I'm not wrong yet, now."
Re: (Score:2)
Yeah everyone knows Wired has a time machine. They can't be trusted.
Re: (Score:1)
According to Wikipedia, they did predict the Saints, but 2008 was their miss: they predicted Giants as losing Superbowlers.
In other news... (Score:2, Informative)
In other news, I still dislike EA games.
IT for bookies? (Score:4, Interesting)
So, do bookmakers use this for their odds calculations?
Where I grew up, their was an Italian delicatessen. They made great hoagies! It was also run by a couple of famlies, and they all drove Cadillacs. When you went in there, someone was always on the phone. Hmmm. When the racetrack nearby burned down and closed, they closed as well.
It was reopened by two guys who my parents knew. They said that the phone was constantly ringing from folks wanting to place bets.
But obviously, they made a tiny fortune on the betting business. So I have to wonder, how do bookies calculate their odds? Do they use IT technology? Or is it just a gut feeling? I'm not a betting man myself, but I don't mind other folks doing it.
And even if I did know that the delicatessen was a front for a bookmaker operation, I wouldn't have cared. As long as they kept making those hoagies. My tip: If you want to really experience a hoagie, find a mom and pop delicatessen in South Jersey.
Re:IT for bookies? (Score:4, Informative)
Re: (Score:1)
I should explain a bit more about the vigorish ("vig"). Rather than say to punters "We will take 10% of the bet" what the bookmaker does is arrange the odds so that overall a desired percentage less than what was paid in will be returned to "winners".
Maybe people seem to think the Packers will win, you offer them 2-5 odds [ 71% chance ], if they pay you $10 you'll give back $14 if the Packers win. Covering the other side who people seem to think are less likely, you offer better odds for the Steelers, 3-2 [
Re: (Score:2)
Gut feelings and odds have little to do with it. Bookies try to get enough people to bet on both teams. If too many people were betting on the Packers, they would move the spread so more people bet on the Steelers, and vice versa. They have to balance the money on both sides so they have enough to pay out.
Come on, this is slashdot here. Try for a CS or automotive analogy.
http://en.wikipedia.org/wiki/Binary_tree [wikipedia.org]
Basically a bookie builds a binary tree where the top level node (aka the bookie) has two child nodes, folks betting on team A and folks betting on team B and the bookie rebalances the tree by screwing around with the odds until the top level of the tree has about the same number of $ on its two child nodes, more or less. A successful bookie has a lot of customers first to balance the tree and second
Re: (Score:1)
The house always wins.
Uhh not quite with sportsbooks. In fact, this makes 2 of the last 4 Super Bowls where most books lost money. Don't believe me? ESPN's Vegas Insider Chad Millman is reporting that Vegas lost money this year [twitter.com]. The problem with your logic is you assume that the linemakers are making correct lines in anticipating the action. However, just like the Giants/Pats SB, Vegas made the line so "soft" they couldn't adjust the line to even out the wagering. Your reasoning that they will just change the line as the money f
Re: (Score:2)
Re: (Score:2)
So I have to wonder, how do bookies calculate their odds?
According to an ex-bookie's clerk I know, mostly by watching other bookies very carefully and by trying to keep their overall liability to the punters to a minimum. Remember, the bookies are in this to make money, so they're actually looking to manage risk to themselves while maximizing the amount of trade they're doing; if they get it wrong, either the punters all go elsewhere (odds too low) or the punters all come running (odds too high).
Re: (Score:2)
If a team normally wins 1 in 10 games, offer the punter odds of 5/1.
Ultimately, after the book has run a week, see where the money is being placed. If the team receives a number of high value bets, reduce the odds to 3/1. And so on.
It's all pure maths. I wish I'd gotten into the game when I didn't need money to pay the bills.
Re: (Score:2)
Yes, but they work at Chase, Discover, Citi, and other major credit card issuers. They also work at Transunion, Experian, and Equifax in developing new credit reports. Instead of phones, they use SAS Software, together with direct mailings and commercials.
This kind of modeling has been going on for decades. Heck, sometimes it is beginning to look like psychohistory with its accuracy.
Even in sports, this application is nothing new. Baseball is, to my knowledge, where statistics (economics if you like) wa
Re: (Score:2)
Re: (Score:2)
Ah. But you are leaving out the important part. Beer.
Re: (Score:2)
Doesn't baseball also have a lot fewer injuries than football? That would also make it a lot easier to predict.
Re: (Score:1)
And put $50 on "Little Louie" to win.
Re: (Score:2)
Re: (Score:2)
Re: (Score:1)
Further proof (Score:1)
Re: (Score:2)
If NFL football is this predictable, it's just further proof how idiotic and worthless the sport really is.
If the stock market is this predictable, it's just further proof how idiotic and worthless the stock market really is.
I'm not sure if anthropomorphizing even makes sense in this situation.
Re: (Score:2)
They should pick the winner of each game based on nothing more than the coin toss, that would be fair for everybody :)
Or, they could use the prediction algorithms to rebalance the teams until the confidence of predicting the winner is low.
Or, they could use the prediction algorithms to rebalance the teams until a team from a large (profitable) market is likely to win, but not by enough to make it
Re: (Score:2)
Do you prefer a game like soccer, where the worse team often wins?
That is illogical, if you won you were the better team on the day, it is just making excuses to blame the weather, pitch, referee or whatever.
So did a lot of people (Score:3)
Re: (Score:2)
Perhaps the analysts used the same statistics to pick the Packers as the simulation?
Really don't need a nefarious setup here - both the simulation and the analysts are doing the same thing (predicting the future) with the same tools (stats from previous seasons).
Who did they predict would lose the Super Bowl? (Score:2)
Slashvertisement (Score:2)
I think that octopus Paul has a better record. (Score:2)
Not too relevant (Score:2)
On paper or in a simulation, the Packers definitely had what was needed to win a Super Bowl. The NFC competition was pretty shallow and the Packers have great players on both defense and offense. What made last night's victory so unlikely was all the injuries they dealt with. To have that final defensive stand without Charles Woodson on the field was amazing, to still pass the ball 60%+ of the time without Donald Driver was equally impressive. And they had many more injuries. The Packers were complete under
Re: (Score:3)
.. accurate simulations are not news for nerds? I have no interest in American Football, or most other competitive sports, but I still think this is cool.
Re: (Score:1)
Same, maybe one day we can just not pay people but simulate the games... one can only wish.
PS: There is only one type of football, and it's only played with your feet. Don't worry, this is not just aimed at Americans, but my own countrymen/women too (Aussies). I suppose you can't call it the NHL (National Handball League) as that acronym is already taken.
Re: (Score:2)
There is only one type of football, and it's only played with your feet.
The term football was originally used to describe a number of different games that were played on foot.
Re: (Score:2)
Re: (Score:2)
"There is only one type of football"
You mean the boring dreadful soccer I suppose. Aussie rules is a far more excting and interesting game than Soccer.
And I grew up a soccer fan in my early years. When I started to watch Aussie rules, soccer just became a lame boring waste of space to me.
Re: (Score:2)
.. accurate simulations are not news for nerds? I have no interest in American Football, or most other competitive sports, but I still think this is cool.
What would really impress me is if they could predict the results of the Pakistani cricket team, including who was going to bribe who [bbc.co.uk]. The meta model for corruption would make this much more challenging than a game prediction.
Re: (Score:2)
1. Sum up net capital of club investors
2. Sort descending.
3. First entry in list wins.
Re: (Score:1)
Re: (Score:3)
Re: (Score:2)
Perhaps this just means that American Football is unusually predictable.
Yet the injuries are not... This would seem to imply there is really no quantitative difference between 1st / 2nd / 3rd string players, despite widely held beliefs to the contrary. If player X had a season ending injury (or even just a game ending injury, early enough in the game) back in game 3 and player Y took over, it apparently doesn't matter much.
This would seem to be a big problem for the cult of personality that has grown up around individual players, so I suspect this story will have to be massive
Re: (Score:2)
Re: (Score:2)
But if a new player came in and was just as good, would that new player be the star? I believe that most sports viewership is for tribalist reasons, otherwise people wouldn't watch teams for decades when the old players have long since retired.
Neutrals may watch a game to see a star player, but is that really a significant proportion of the market?
Re: (Score:2)
Re: (Score:1)
why don't we hire them to do a climate change model?
Because the last thing we need is a prediction that the cowboys will win their battle against the climate by 7.