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Western Force recruit two more Wallabies for Super Rugby AU

Nick Frisby. (Photo by Scott Barbour/Getty Images)

Western Force have signed former Wallabies Pek Cowan and Nick Frisby before the launch of Australia’s new domestic rugby competition.

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Cowan joined the Force’s foundation squad in 2006 as an 18-year-old and went on to play 130 Super Rugby games for the franchise.

When the Force were axed in 2017, Cowan was so upset that he declared he would not be joining one of the other Australian franchises.

Video Spacer

Super Rugby AU kicks off this Friday.

Video Spacer

Super Rugby AU kicks off this Friday.

The 10-Test prop stuck true to his word, joining Japanese Top Challenge League side Shimizu Blue Sharks in 2017 before being granted a special release to rejoin the Force this month.

“I have played with Pek for most of my career, he is a top bloke and a true Force player at heart,” Force head of rugby Matt Hodgson said.

https://www.instagram.com/p/CArG3kEgyoj/

“As soon as he saw there was an opportunity to play with the team, even for a short while, we both knew he had to be included.”

Frisby made 66 appearances in his five years with the Queensland Reds.

The 27-year-old notched five Tests with the Wallabies in 2016 but has been unable to add to that tally.

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Frisby has been plying his trade with Scotland’s Pro14 team the Glasgow Warriors since 2018.

“Nick is a very talented player who moved overseas for more opportunities in the last few years,” Hodgson said.

“He is an intelligent scrum-half with an exceptional running game that will be vital for the upcoming games.

“He has matured his skills playing at a number of different clubs overseas and we are excited to bring this level of player back to Australia.”

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Cowan and Frisby join Kyle Godwin, Greg Holmes, Jono Lance, Ollie Atkins, and Kane Koteka as key signings for the upcoming season.

The Force’s campaign begins against the NSW Waratahs in Sydney on July 11.

– Justin Chadwick

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J
JW 1 hour 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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