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Finals results vs odds

Poupou Escobar

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A few weeks ago I did some research for a debate that was occurring here, regarding favouritism in NRL finals matches, and I found the data so interesting that I went down the rabbit hole and saved it for its own thread when I finally got around to it. Today is that day.

I used a ten year data sample, because you have to stop somewhere, and ten years is a nice round number that was unlikely to have merkins accusing me of picking a sample to suit preconceived conclusions.

In those ten years (2016 to 2025) there have been 25 coaches overseeing at least one finals appearance. All coaches have a relatively small sample of finals games in ten years, with only one (Bellamy) coaching 20+ finals during the last decade. Twenty of the 25 coached a dozen finals games or less. This all means the data lacks statistical significance from the outset and can't be used to prove most narratives. However, the data is interesting, so like most rugbaleeg analysis, it should largely be used for entertainment purposes.

Firstly, let's get the dumbest of stats out of the way, being a comparison of total games and total wins (i.e. win rate) per coach:

CoachFinals since 2016WinsWin rate
Maguire33100%
Cleary191684%
Demetriou3267%
Walters3267%
Bellamy271763%
Flanagan7457%
Green7457%
Robinson191053%
Griffin4250%
McGregor2150%
Payten4250%
Bennett15747%
Stuart14643%
Arthur12433%
Fitzgibbon9333%
Hasler6233%
Seibold6233%
Webster4125%
Ciraldo5120%
O'Brien5120%
Barrett100%
Henry100%
Holbrook100%
Kearney100%
Morris200%

It's tempting to assume this table reflects the ability of a coach to 'win big games' or other nonsense, but as previously stated, the samples are small; 80% of the coaches oversaw half an NRL season's worth of games or less.

So while per-coach stats are relatively meaningless, the data as a whole tells a few stories. Firstly, only 8 of the 25 coaches (less than a third) have a winning record, but this includes 3 who only coached 3 games. If you flipped a coin three times and got heads two or three times, only a f**king idiot would say the coin is rigged.

The data, at least this very simplistic set, also indicates that coaches aren't judged (by the clubs at least) based on their finals record. Seibold, Webster, Ciraldo and Fitzgibbon (all finals losers) are still employed, while Demetriou and Walters (with winning finals records) are not. It's understood by anyone with a basic understanding of probability that the result of a finals match, like any game, has a significant randomness component. There are obviously nonrandom factors, and some are preoccupied with proving the influence of coaching on results. But the biggest factor is the disparity in quality between the teams. This should be evident prior to kickoff, and indeed it is, through the betting odds, which will be the subject of my next post when I get around to it.

Thank you for your time.
 

Poupou Escobar

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Underdogs

The factor that really stood out was how many games were evident as a David vs Goliath clash from the outset. With a threshold of $3 for the underdog (a team considered to have little chance of winning), I found that of the 90 finals matches played between 2016 and 2025, 46 of them (slightly more than half) featured a $3 underdog. This in itself indicates a significant problem with inequality in the NRL. Of the 46 games, there were only eight wins by the underdog. So the win rate for underdogs in such lopsided contests is about 17% (just over 1 in 6).

Most interestingly, of the 8 underdog wins, 3 of them were by the 2017 Cowboys. This cluster of wins by the same team indicates the punters seriously underestimated the Cowboys, who had four Origin players plus Taumalolo during that finals series. They had also won the comp two years earlier. If we remove this outlier, the win rate drops to 5 from 43 (less than 12%).

The following table summarises the data for $3+ underdogs. The key point is that the samples are all small, with the coach with the most games as $3+ underdogs still only overseeing seven matches in the decade:

CoachFinals since 2016$3+ underdogsFrequencyWinsWin rate
McGregor22100%150%
Henry11100%00%
Holbrook11100%00%
Webster4375%00%
O'Brien5360%00%
Arthur12758%00%
Green7457%375%
Morris2150%00%
Stuart14536%240%
Bennett15533%120%
Demetriou3133%00%
Fitzgibbon9333%00%
Hasler6233%00%
Robinson19421%00%
Ciraldo5120%00%
Flanagan7114%00%
Cleary1915%1100%
Bellamy2714%00%
Seibold600%0N/A
Griffin400%0N/A
Payten400%0N/A
Maguire300%0N/A
Walters300%0N/A
Barrett100%0N/A
Kearney100%0N/A

More than a quarter of coaches were never $3 underdogs. Three of them were only ever massive underdogs (but no more than twice).

Only six coaches oversaw a dozen finals matches or more since 2016, and four of them had teams so strong that they were never $3 underdogs more than a third of the time. A fifth - Ricky Stuart - was $3 underdog less than half the time. Only Brad Arthur's side was $3 underdogs more often than not.

The most noteworthy 'coaching performance' was Green's. Was this an example of his coaching genius? Most likely is that it was just an outlier based on a very small sample of games. His win rate as $3 underdogs during the period (only 4 games) was 75%. His win rate vs more evenly matched opposition (3 games) was only 33%. This all points to the samples just being too small to draw conclusions.

I will add a third post about results as favourites vs $3 underdogs, but it will have to be after I sort my life out.
 
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Legal Eel

Juniors
Messages
1,576
Underdogs

The factor that really stood out was how many games were evident as a David vs Goliath clash from the outset. With a threshold of $3 for the underdog (a team considered to have little chance of winning), I found that of the 90 finals matches played between 2016 and 2025, 46 of them (slightly more than half) featured a $3 underdog. This in itself indicates a significant problem with inequality in the NRL. Of the 46 games, there were only eight wins by the underdog. So the win rate for underdogs in such lopsided contests is about 17% (just over 1 in 6).

Most interestingly, of the 8 underdog wins, 3 of them were by the 2017 Cowboys. This cluster of wins by the same team indicates the punters seriously underestimated the Cowboys, who had four Origin players plus Taumalolo during that finals series. They had also won the comp two years earlier. If we remove this outlier, the win rate drops to 5 from 43 (less than 12%).

The following table summarises the data for $3+ underdogs. The key point is that the samples are all small, with the coach with the most games as $3+ underdogs still only overseeing seven matches in the decade:

CoachFinals since 2016$3+ underdogsFrequencyWinsWin rate
McGregor22100%150%
Henry11100%00%
Holbrook11100%00%
Webster4375%00%
O'Brien5360%00%
Arthur12758%00%
Green7457%375%
Morris2150%00%
Stuart14536%240%
Bennett15533%120%
Demetriou3133%00%
Fitzgibbon9333%00%
Hasler6233%00%
Robinson19421%00%
Ciraldo5120%00%
Flanagan7114%00%
Cleary1915%1100%
Bellamy2714%00%
Seibold600%00%
Griffin400%00%
Payten400%00%
Maguire300%00%
Walters300%00%
Barrett100%00%
Kearney100%00%

More than a quarter of coaches were never $3 underdogs. Three of them were only ever massive underdogs (but no more than twice).

Only six coaches oversaw a dozen finals matches or more since 2016, and four of them had teams so strong that they were never $3 underdogs more than a third of the time. A fifth - Ricky Stuart - was $3 underdog less than half the time. Only Brad Arthur's side was $3 underdogs more often than not.

The most noteworthy 'coaching performance' was Green's. Was this an example of his coaching genius? Most likely is that it was just an outlier based on a very small sample of games. His win rate as $3 underdogs during the period (only 4 games) was 75%. His win rate vs more evenly matched opposition (3 games) was only 33%. This all points to the samples just being too small to draw conclusions.

I will add a third post about results as favourites vs $3 underdogs, but it will have to be after I sort my life out.
Poor BA.

Just always the recipient of terrible luck.
 

Poupou Escobar

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98,761
Your eye test is worthless to anyone else though. It's just a personal opinion. Like if I say the eye test shows me Blaize Talagi is a great defender because I saw him do a big hit once and it stuck in my dumb human memory. It's a shit opinion because the objective facts show that he isn't a great defender. He isn't even average:

 

JokerEel

Coach
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17,753
Your eye test is worthless to anyone else though. It's just a personal opinion. Like if I say the eye test shows me Blaize Talagi is a great defender because I saw him do a big hit once and it stuck in my dumb human memory. It's a shit opinion because the objective facts show that he isn't a great defender. He isn't even average:


Yeah.
 

hindy111

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Messages
66,622
Your eye test is worthless to anyone else though. It's just a personal opinion. Like if I say the eye test shows me Blaize Talagi is a great defender because I saw him do a big hit once and it stuck in my dumb human memory. It's a shit opinion because the objective facts show that he isn't a great defender. He isn't even average:


You must have bad eyes. He arm grabs a bit. But he is also capable of a big hits. He is quite tall and yet to fill out. That tells me physically he is going to be fine once he develops. Similar to Moses. Tho it took him untill age 25. Blaize will be ok by 2027.

What do the stats say?
 
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JokerEel

Coach
Messages
17,753
You must have bad eyes. He arm grabs a bit. But he is also capable of a big hits. He is quite tall and yet to fill out. That tells me physically he is going to be fine once he develops. Similar to Moses. Tho it took him untill age 25. Blaize will be ok by 2027.

What do the stats say?


81% tackle efficiency
 

Poupou Escobar

Post Whore
Messages
98,761
You must have bad eyes. He arm grabs a bit. But he is also capable of a big hits. He is quite tall and yet to fill out. That tells me physically he is going to be fine once he develops. Similar to Moses. Tho it took him untill age 25. Blaize will be ok by 2027.

What do the stats say?
The stats show most 20 year olds will become better defenders, so I agree with you.
 

hindy111

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Messages
66,622
81% tackle efficiency

My point was about a players development. How is he missing the tackles. Is he to small like Sandow? If so then impossible to fix.
Is it positioning? That's Fixable.

Plenty of props have better stats the Stefano. But he is superior to majority of them. Stats dont account for big moments, clutch plays, pressure. Consolation tries. It all gets rolled into one.
Even goal kicking stats are shit. How about breaking it down to side line conversions, and mid field ones. Everyone is 100% infront. But it is represented as one in a stat
 

Poupou Escobar

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Messages
98,761
So this is the third post, as promised.

Favourites

The flipside of being $3+ underdogs is being the superior team that gets to face them. Nearly all of these favourites would've been paying less than $1.40, but I'll stick with referring to them in the context of opposing the $3+ underdogs because the alternative is even more unwieldly ("< $1.40 favourites" or whatever).

All the stuff about the incidence of these games, and the win rate for underdogs applies, but in reverse. The favourite in these games won 83% of the time over the past ten years, and just over half of all 90 finals matches features such an uneven match up. It's fair to say that if the underdog got up in these games they were either incorrectly priced (e.g. punters focused on Thurston missing from the 2017 Cowboys rather than the crop of stars they still had) or the favourites shat the bed. Unlikely the underdogs gave 110% (or more), not even in rugbaleeg.

The following table summarises the data for favourites vs $3+ underdogs:

CoachFinals since 2016vs $3 underdogsFrequencyWinsWin rate
Cleary191263%1192%
Bellamy271556%1280%
Bennett15533%480%
Walters3133%1100%
Payten4125%1100%
Robinson19421%375%
O'Brien5120%1100%
Arthur12217%150%
Hasler6117%1100%
Seibold6117%1100%
Stuart14214%2100%
Flanagan7114%00%
Fitzgibbon900%0N/A
Green700%0N/A
Ciraldo500%0N/A
Griffin400%0N/A
Webster400%0N/A
Demetriou300%0N/A
Maguire300%0N/A
McGregor200%0N/A
Morris200%0N/A
Barrett100%0N/A
Henry100%0N/A
Holbrook100%0N/A
Kearney100%0N/A

The only coaches with a win rate lower than 75% had a tiny sample of one or two games, and their single loss came against the 2017 Cowboys (see my comment on outliers in the underdogs post). Robinson's only loss was against them as well.

The thing that stands out is that, in comparison to the underdogs data where the most games as $3 underdogs was 7, in this set of data Cleary (12) and Bellamy (15) have considerably more. Bennet only had 5 and Robinson 4, pointing to the Storm and Panthers as super clubs with significant recruitment/retention advantages. The Broncos might've just gotten back there too. Yay.

Another difference is that, while more than a quarter of coaches were never $3 underdogs, over half of them were never favourites against such weak opposition. Underdog status is a lot more evenly distributed than favouritism. Where three coaches were only ever $3+ underdogs in the finals, none were favourites by such a margin in every finals appearance.

Finally, the coaches with the most finals appearances in the past decade (Bellamy and Cleary) were also the ones who were favourites against $3+ underdogs most frequently. Bellamy coached against $3+ underdogs on 15 occasions, which was as many finals as Wayne Bennett coached altogether. Only Robinson and Cleary coached more games (in total) than Bellamy's tally against much weaker opposition. Truly, rugby league is the egalitarian paradise of the working man.

Thanks for reading and get f**ked.
 

Poupou Escobar

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98,761
Over enough data it would tell you something, but I suspect the best goalkickers would still be better from in front and worse from their weak side (right side for right footers). Some guys might suffer less of a loss than others when kicking from one or both sidelines. But in the end, you don't plan for where your kicker will be kicking from. You need to rely on him from anywhere and the probability will collapse to a single number.
 

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