Certified Legendary Thread Race for the flag, in squiggly lines

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15.4 I don't put down to luck - that is the actions of the players on the field. What the umpires decide to do on the other hand...

It was more a hypothetical and a discussion of applied luck compared with theoretical mathematical luck.
 
This is fun.

But what does luck mean? Hawthorn won their preliminary final by 27 points - hardly a flogging, but certainly comfortable in the end. But what if Hawthorn had not been awarded that free kick against Hayden Ballantyne in the first quarter? That was a dubious free kick. Pretty lucky I would have thought.

As I said this is fun, something to do in the down time.
This is the question! If you really want to, you can make a case for there being no such thing as luck at all in football: The reason you get free kicks is you put yourself in the best position; the reason you benefit from another team's loss is that you won enough other games to be thereabouts, etc, etc.

But as a guy who runs stats on football teams for fun, I am struck by how often football numbers look random, or at least like a normal distribution:

Empirical_Rule.PNG

Why is it so hard to reliably tip at better than about 70%? Why is it that people who don't know much about football tip with a similar success rate to people who study it a lot? How can Sydney enter the 2014 Grand Final as mild favourites and lose by 10 goals? In 2014, how does 18th-placed St Kilda beat 2nd-placed Fremantle 118 to 60?

Maybe:

1. There are hidden factors that most people can't see or account for, even indirectly, which strongly influence the outcome of football games. But with full information, you could, for example, predict that the dodgy pasta Pavlich ate the night before Round 18, 2014, would cost Fremantle three goals.

or else:

2. Football has a lot of randomness baked in, which no-one can predict even with full information.

In practice, these might actually be the same thing. For example, it might be that the mood of each player before a match is an important factor, but even if you measured everyone's emotional state, it would still be too difficult to calculate how they all might combine on the field. So while in theory it's knowable, in practice it's unpredictable. I'd call all this "luck," i.e. anything that's unpredictable even to a well-informed observer. Yes, putting yourself in the best position to win free kicks is skill, but that's not the whole story, not even close. A lot of the rest is luck.

And while a lot of life is like this, football seems especially random. It seems extremely random. Which is by design, of course: Who wants to watch predictable matches? But if that's true, it means that a lot of football analysis is finding patterns in white noise, inventing meaning where there's none.
 
This is the question! If you really want to, you can make a case for there being no such thing as luck at all in football: The reason you get free kicks is you put yourself in the best position; the reason you benefit from another team's loss is that you won enough other games to be thereabouts, etc, etc.

But as a guy who runs stats on football teams for fun, I am struck by how often football numbers look random, or at least like a normal distribution:

Empirical_Rule.PNG

Why is it so hard to reliably tip at better than about 70%? Why is it that people who don't know much about football tip with a similar success rate to people who study it a lot? How can Sydney enter the 2014 Grand Final as mild favourites and lose by 10 goals? In 2014, how does 18th-placed St Kilda beat 2nd-placed Fremantle 118 to 60?

Maybe:

1. There are hidden factors that most people can't see or account for, even indirectly, which strongly influence the outcome of football games. But with full information, you could, for example, predict that the dodgy pasta Pavlich ate the night before Round 18, 2014, would cost Fremantle three goals.

or else:

2. Football has a lot of randomness baked in, which no-one can predict even with full information.

In practice, these might actually be the same thing. For example, it might be that the mood of each player before a match is an important factor, but even if you measured everyone's emotional state, it would still be too difficult to calculate how they all might combine on the field. So while in theory it's knowable, in practice it's unpredictable. I'd call all this "luck," i.e. anything that's unpredictable even to a well-informed observer. Yes, putting yourself in the best position to win free kicks is skill, but that's not the whole story, not even close. A lot of the rest is luck.

And while a lot of life is like this, football seems especially random. It seems extremely random. Which is by design, of course: Who wants to watch predictable matches? But if that's true, it means that a lot of football analysis is finding patterns in white noise, inventing meaning where there's none.
Yep.

Take Jack Gunston out onto the paddock and get him to have 10 set shots from 40 metres out, directly in front.

Now do that same thing for 100 straight days. Most days he might kick eight or nine. Some days he will kick ten, some days five.

The distribution will most likely be bell curve (normal).

Why did he only kick five on some days but ten on other days? Surely not more or less skill.
 

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Yep.

Take Jack Gunston out onto the paddock and get him to have 10 set shots from 40 metres out, directly in front.

Now do that same thing for 100 straight days. Most days he might kick eight or nine. Some days he will kick ten, some days five.

The distribution will most likely be bell curve (normal).

Why did he only kick five on some days but ten on other days? Surely not more or less skill.

Binomial Distribution

https://en.wikipedia.org/wiki/Binomial_distribution
https://www.khanacademy.org/math/pr...binomial_distribution/v/binomial-distribution

but yeah ...
 
This is the question! If you really want to, you can make a case for there being no such thing as luck at all in football: The reason you get free kicks is you put yourself in the best position; the reason you benefit from another team's loss is that you won enough other games to be thereabouts, etc, etc.

But as a guy who runs stats on football teams for fun, I am struck by how often football numbers look random, or at least like a normal distribution:

Empirical_Rule.PNG

Why is it so hard to reliably tip at better than about 70%? Why is it that people who don't know much about football tip with a similar success rate to people who study it a lot? How can Sydney enter the 2014 Grand Final as mild favourites and lose by 10 goals? In 2014, how does 18th-placed St Kilda beat 2nd-placed Fremantle 118 to 60?

Maybe:

1. There are hidden factors that most people can't see or account for, even indirectly, which strongly influence the outcome of football games. But with full information, you could, for example, predict that the dodgy pasta Pavlich ate the night before Round 18, 2014, would cost Fremantle three goals.

or else:

2. Football has a lot of randomness baked in, which no-one can predict even with full information.

In practice, these might actually be the same thing. For example, it might be that the mood of each player before a match is an important factor, but even if you measured everyone's emotional state, it would still be too difficult to calculate how they all might combine on the field. So while in theory it's knowable, in practice it's unpredictable. I'd call all this "luck," i.e. anything that's unpredictable even to a well-informed observer. Yes, putting yourself in the best position to win free kicks is skill, but that's not the whole story, not even close. A lot of the rest is luck.

And while a lot of life is like this, football seems especially random. It seems extremely random. Which is by design, of course: Who wants to watch predictable matches? But if that's true, it means that a lot of football analysis is finding patterns in white noise, inventing meaning where there's none.

There is a lot of your last sentence going on.
 
I think you're talking about human beings playing football more than luck here. Yes human beings can off days can be inexperienced can handle pressure differently. Its the variables in a game all to do with being human most of the luck in a game is earned and evens out over the period. People claiming one free kick in the first qtr being the be all and end all of a game didn't watch the rest of the freo game. Great teams execute under pressure and when it comes down to it under immense pressure given its a prelim final
 
Surprisingly difficult to shake Sydney out of the 2012 flag with 5% luck. 1,000 simulations:

911 Sydney
73 Hawthorn
9 Adelaide
5 West Coast
1 Geelong
1 Collingwood

Adelaide make a lot of GFs, but since the model uses their 29-point QF loss to the Swans in SA as a baseline, they almost always lose.
 
Surprisingly difficult to shake Sydney out of the 2012 flag with 5% luck. 1,000 simulations:

911 Sydney
73 Hawthorn
9 Adelaide
5 West Coast
1 Geelong
1 Collingwood

Adelaide make a lot of GFs, but since the model uses their 29-point QF loss to the Swans in SA as a baseline, they almost always lose.


How far back does this go?
 
it would still be too difficult to calculate how they all might combine on the field
It's funny you mention that.

That's what I love about footy from a numbers sense - there's elements of the game that you can break down in a similar way to sabermetrics and moneyball in baseball - looking at goals from turnovers, stoppages etc, but there's always that element of systems management and spatial awareness that's more important in soccer.

In a league that's becoming more stats-driven and "moneyball"-esque in team selection and list management, the gun list managers and gun coaches are the ones who still understand the intangibles of player development and the way that players interact and systems on the field. There can still be statistical analysis, and it's certainly more "measurable" than soccer, but it's less than baseball and even basketball (where teams have equal amounts of possessions and then the game can be statistically broken down from there, even if there are "systems" involved.

West Coast's list was almost identical from the year before, yet they made the grand final largely because they improved the intangible "systems" of their defensive structures such as the Weagles Web.

Like you said, football is generally random.
 
Final siren have you ever heard the term yesterdays weather? Seems you can have all the sumulators and predictors in the world, but that is only slightly more correct than someone who says 'todays weather will be like yesterday'
 

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Yep.

Take Jack Gunston out onto the paddock and get him to have 10 set shots from 40 metres out, directly in front.

Now do that same thing for 100 straight days. Most days he might kick eight or nine. Some days he will kick ten, some days five.

The distribution will most likely be bell curve (normal).

Why did he only kick five on some days but ten on other days? Surely not more or less skill.
Right! And what's interesting is how you can get predictable patterns out of complete randomnesss. For example, imagine a footballer who takes 10 set shots each day and the number of goals he kicks is purely random. Might be 0, might be 10, might be 3... each number is equally likely as the other. That's not realistic at all, because we know in real life he should have a lot more days of 7 or 8 goals than 0 or 10, like in your Gunston example.

So take a step back and say okay, each kick he takes is random: 50% chance of going through, 50% chance of missing. Suddenly it's pretty realistic, because you have much higher odds of kicking 5 goals than 0 or 10. (Because the only way to kick 0 goals is to miss every single shot, whereas you can kick 5 by getting the first 5 then missing the next 5, or missing the first one then getting 5, or...)

Go back one more step and say that a kick is the combination of a few factors - maybe wind + ball drop + concentration - and all three of those can be completely random and yet will produce goalkicking numbers just like a player does in real life.
 
Wow, that's a good one. Geelong have a real shocker, getting on the wrong end of huge turnarounds in two vital games, losing by 1pt to Hawthorn in extra time in the first final and then to Carlton by 2pts the next week to go out in straight sets.

Very unlikely but you fluked it.
I mean technically its 90% skill though right
 
Just put 100% luck into 2009 and the preliminary final was epic.
1st place St Kilda beat 6th place Brisbane 168-164 (before beating North 178-151 in the gf)

omfg, this finals series would break the internet (Look at Richmond's results, Collingwood's Qual and Prelim result (Prelim on account of Port as well) then the Grand Final matchup)
2009 (97% luck)

1. Richmond 15-7 143.1%
2. Collingwood 15-7 109.0%
3. Geelong 13-9 97.5%
4. Port Adelaide 12-10 99.7%
5. West Coast 12-10 96.6%
6. St Kilda 12-10 86.2%
7. Melbourne 11-11 107.0%
8. Adelaide 11-11 103.2%

Richmond 99 - 106 Port Adelaide
Collingwood 35 - 96 Geelong
West Coast 37 - 119 Adelaide
St Kilda 156 - 169 Melbourne

Richmond 122 - 173 Adelaide
Collingwood 161 - 132 Melbourne

Port Adelaide 176 - 57 Collingwood
Geelong 128 - 172 Adelaide

Port Adelaide 40 - 72 Adelaide
 
So all the Crows needed was 2% luck to win the 2009 premiership

Would have gone down as one of the greatest finals series of all time

St Kilda 75-64 Adelaide
Geelong 94-80 Western Bulldogs
Collingwood 101-82 Essendon
Brisbane 111-105 Carlton

Adelaide 83-78 Collingwood
Western Bulldogs 111-56 Brisbane

St Kilda 60-52 Western Bulldogs
Geelong 83-85 Adelaide

St Kilda 67-71 Adelaide
 

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