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Rugby Australia to trial lower tackle height in community game

Teddy Wilson of the Waratahs runs the ball during the round eight Super Rugby Pacific match between NSW Waratahs and Western Force at Allianz Stadium, on April 15, 2023, in Sydney, Australia. (Photo by Cameron Spencer/Getty Images)

Rugby Australia have announced a lower tackle height trial as they look to minimise the risk of concussions and encourage more players to take up the sport.

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The two-year trial, starting in February, will see the legal tackle height in community rugby lowered from below the shoulders to below the sternum, aiming to improve player safety by reducing the risk of head-on-head or head-on-shoulder contact.

The new rule, which will affect all forms of rugby below Super Rugby Pacific, follows six years of research including similar trials in nations such as France, England, New Zealand and South Africa.

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Preliminary data in South Africa has shown a 30 per cent reduction in concussions, while France recorded a 64 per cent reduction in head-on-head contact – as well as a 14 per cent increase in participation on pre-COVID levels.

RA boss Phil Waugh said the trial was an opportunity to make the game safer, which was a major concern for potential players.

“We firmly believe that promoting safer tackle techniques, and reducing the risk of head contact and concussion will lead to an even safer game,” Waugh said in a statement on Friday.

“Research from around the world has clearly identified safety as the number one issue preventing fans and potential players from taking up the game.”

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He said that the French trial showed a “significant increase” in penalties in the first year followed by a “substantial drop” in subsequent years.

The trial will be implemented in all premier grades, school and pathway competitions.

The sport’s governing body has begun an extensive educational program with administrators, coaches, match officials and players around the new law.

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1 Comment
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Ben 489 days ago

Difficult for refs to manage, will be lots of arguments. Fans and players must be patient, the stats are pretty compelling.

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JW 2 hours ago
Why Les Kiss and Stuart Lancaster can lead Australia to glory

It is now 22 years since Michael Lewis published his groundbreaking treatise on winning against the odds

I’ve never bothered looking at it, though I have seen a move with Clint as a scout/producer. I’ve always just figured it was basic stuff for the age of statistics, is that right?

Following the Moneyball credo, the tailor has to cut his cloth to the material available

This is actually a great example of what I’m thinking of. This concept has abosolutely nothing to do with Moneyball, it is simple being able to realise how skillsets tie together and which ones are really revelant.


It sounds to me now like “moneyball” was just a necessity, it was like scienctest needing to come up with some random experiment to make all the other world scholars believe that Earth was round. The American sporting scene is very unique, I can totally imagine one of it’s problems is rich old owners not wanting to move with the times and understand how the game has changed. Some sort of mesiah was needed to convert the faithful.


While I’m at this point in the article I have to say, now the NRL is a sport were one would stand up and pay attention to the moneyball phenom. Like baseball, it’s a sport of hundreds of identical repetitions, and very easy to data point out.

the tailor has to cut his cloth to the material available and look to get ahead of an unfair game in the areas it has always been strong: predictive intelligence and rugby ‘smarts’

Actually while I’m still here, Opta Expected Points analysis is the one new tool I have found interesting in the age of data. Seen how the random plays out as either likely, or unlikely, in the data’s (and algorithms) has actually married very closely to how I saw a lot of contests pan out.


Engaging return article Nick. I wonder, how much of money ball is about strategy as apposed to picks, those young fella’s got ahead originally because they were picking players that played their way right? Often all you here about is in regards to players, quick phase ruck ball, one out or straight up, would be were I’d imagine the best gains are going to be for a data driven leap using an AI model of how to structure your phases. Then moving to tactically for each opposition.

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