At this time of year, is there anything else you want to know more than the answer to this question?
For our crystal ball, we turn to Monte Carlo simulations. These simulations work on the principle that if we know the inputs to a complex system and how they relate to each other, then we can test the outcomes of that system using random numbers to simulate different situations.
At its most basic, just imagine if you simulated the outcome of football matches by rolling dice. Numbers one and two might represent a win for the Gold Coast and numbers three through six might be a win for Wests. If you repeat that a couple of thousand times, not only will you be extremely bored but the Gold Coast will “win” about 33% of the time and Wests 66%.
Now take the same approach for the nine finals games, with the winner advancing per the NRL’s system, but instead of using dice, you generate a random number between zero and one and calculate the win probability using Archimedes (form) Elo ratings. Then repeat it 5,000 times over. The number of times that the Storm or Roosters or Broncos or Eels “win” the premiership across your simulations should give you some insight into the probability of that happening in real life. I call this the Finals Stocky and I present its findings.
Embed from Getty Images
I can finally put a woefully inadequate season of tipping behind me. For a guy that had an Elo rating system that could practically see the future last year (up around 67%), Euclid did let us all down really badly this year.
But how good has the football been? This weekend sees the fairy tale-esque giant-slaying North Queensland Cowboys take on the machine-like Terminators of the Melbourne Storm to decide which side gets to take home the 2017 premiership.
Melbourne (20-4) vs North Queensland (13-11)
The Cowboys have ridden an improbably large share of possession to starve their opponents of the ball coupled with an improbably well-timed run in form, particularly for star players like Michael Morgan and Jason Taumalolo, to get through to what the media insists on referring to as the “Big Dance”. Why? Who knows? Wendell Sailor hasn’t done his jig on a football field in over a decade and there hasn’t been much in the way of successors.
With the conclusion of round 14, it’s just over half time in the 2017 NRL season. It’s the ideal time to do what everyone else is doing and look back at the season so far. This week we’re looking at the back half of the NRL.
Part I, from Brisbane to Newcastle, was last week.
A reminder of the benchmarks that define each place on the ladder –
And where grand finalists and premiers come from on the ladder –
With the conclusion of round 13, it’s half time in the 2017 NRL season. It’s the ideal time to do what everyone else is doing and look back at the season so far. This week we’re looking at the first eight clubs that come up in alphabetical order.
Part II to come next week.
There are some important benchmarks to consider when looking ahead to the end of the season.
Firstly, let’s look at the regular season. I’ve tallied up the average number of wins for each position, the average for-and-against and the number of teams with a negative for-and-against for each spot on the ladder. The dataset covers 1998 to 2016, so there are some inconsistencies from seasons which had twenty or fourteen teams and where points penalties were applied to the 2002 Bulldogs, 2016 Eels and 2010 Storm.
The main takeaways are that twelve wins should get you into the finals and eighteen should get you the minor premiership. Six or seven wins will still only get you the bottom spots on the ladder (unless the 2016 Knights are playing).