Finally, an interesting team to pull apart:
I have a quiet confidence in Souths’ premiership aspirations but questions remain unanswered.
Souths’ spine is projected to be a full five Taylors per game better than Melbourne’s, which is next best, so it is little surprise that the Rabbitohs are the mostly heavily biased to their playmakers. Damien Cook is the keystone of the spine and has been the league’s most productive player by TPR two years running. The .200 barrier hasn’t been broken since Robbie Farah did it back-to-back in 2013 and 2014, years that the Tigers won a combined seventeen games. After two years of wrecking the league, have coaches finally watched enough tape of Damien Cook to put a lid on him? More pressingly, will Damien Cook turn up this postseason?
Latrell Mitchell’s mooted move to fullback returns him to a position he hasn’t officially played since his 2016 season for the Roosters. He put up an average TPR of .087 then. Mitchell is projected to carry through his (famously quite lazy) productivity at centre and bring .120 of production to fullback. I am loathe to make individual manual tweaks to my systems, so that seems like a bad assumption that is worth adjusting for. 30 pips of production at fullback is worth about 10 Taylors, enough to move Souths from fourth best squad to outside the top eight. Questions: will Latrell at fullback work? Will Latrell put his full back into working?
…Is Wayne cooked?
I am happy to advise that my concerns were generally unfounded. Souths had another tilt at the premiership and Wayne isn’t as cooked as we had feared.
South Sydney finished the season in sixth place on the ladder, with a 12-8 record and +169 points difference, which was the league’s fourth highest. They lost their star fullback to injury and found a replacement just in time to hit the afterburners into the finals. The Rabbitohs made it to the preliminaries, going through Newcastle and Parramatta, where the Panthers knocked them out 20-16.
Using standard deviation as a measure of consistency (remember that a larger standard deviation implies a greater spread of results) and Taylors as our measure of work done, Souths were the least consistent team in the NRL.
And while that will be the label put on the 2020 campaign forevermore, it would help to breakdown that performance into finer detail.
The move of Latrell Mitchell, or rather his return, to the fullback position was one of the more interesting scenarios to consider coming into the season. Would a player equally known for lightning pace and skill as his lack of fitness and involvement be able to manage one of the most taxing positions on the field?
Prior to coronavirus, it looked like maybe not. It seems likely that the break allowed him some time to find himself, find some form and get used to the role because when he returned, he was as good as ever. In the first two rounds, he averaged a TPR of just .045, which is sub-replacement level production, but improved to .139 over the remainder of his season. It was enough to be the ninth best fullback by WARG despite playing only fourteen games. Cruelled by injury later in the year, Johnston briefly filled in – average TPR .047 – before Corey Allan exploded out of the blocks with an average rating of .181.
The fortunes of the team loosely followed the fortunes of their fullbacks, which is hardly surprising considering how important the position is and how well production measures the fullback’s offensive contributions. There’s probably no greater single contribution to acceleration of Souths’ last four weeks than the effort put in at fullback, perhaps alongside the superlative form of Cody Walker.
The three-quarter line (centres and wingers) have the highest coefficient of correlation between the team’s overall production and their average TPR rating. This sounds insightful until you remember that the bulk of production is scoring tries and that’s what three-quarters are for. Still, the likes of Graham, Paulo and Johnston were largely responsible for driving the 5-0 winning streak from round 12 until round 16. It was this, and the hitting of the afterburners, that took Souths from no-hopers like Cronulla to having decent prospects by the time October rolled around.
Souths’ inconsistency carried through to the main playmakers, with the league’s highest standard deviation of production of 41, well ahead of second placed Cronulla’s 32. Eyeballing the chart below and it would seem Cook was the main driver of the variation, having a relatively quiet season by his own standards, despite the rule changes seemingly being in his favour. It may well be that Cook, age 29, is losing his pace. Speed is, after all, a young man’s game.
I think if nothing else, Souths’ 2020 is proof that inconsistency isn’t inherently bad. If your team is poor and you want them to be consistent, then consistency isn’t going to make them good. Luck needs to turn, processes need to come good or changes made to improve performance. That improvement is by definition inconsistent with previous performances.
Instead, we saw the value of consistency of personnel and timing of form. Mid-season, the Bunnies were 5-5 and below the Tigers. By the end, they’d put 60 past the two time premiers and were into week three of the finals.
The biggest issue facing the club in the immediate future is the transition of power from Wayne Bennett to Jason Demetriou. What we’ve seen of Demetriou so far suggests that the transition will be orderly and the club is in safe hands. Whether Bennett sticks around or moves back to south-east Queensland into some sort of mentorial role or retires remains to be seen. Undoubtedly, he’ll want to go out a winner and it was a shame they didn’t get there this year.
The most pressing issue is how do Souths break their duck? 2020 is their fifth preliminary final loss in nine seasons. While the first two were preludes to the 2014 premiership, we’ve now seen Souths fall one week short three years running. It’s good, indeed better than almost all of their competitors, but at some point, they’ll want to convert that to a premiership. In this context, arguing its just luck flies in the face of the sample size. Instead, there’s a tiny sliver of improvement that needs to come from somewhere to put the Rabbitohs over the top.