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O'Connor and Foley named in Australia A side to face Tonga

(Photo by Cameron Spencer/Getty Images)

Australia A coach Jason Gilmore has announced his 23-man squad for the upcoming match against Tonga’s Ikale Tahi in Nuku’alofa.

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The team includes local favorites Folau Fainga’a and Taniela Tupou, who will be joined by Tom Lambert in the front row. Lukhan Salakai-Loto and Caderyn Neville will start in the second row.

The back row partnership consists of Lachie Swinton, Brad Wilkin, and Seru Uru, providing a formidable presence on the field. Experienced playmaker Bernard Foley has been named captain and will team up with Jake Gordon in the halves. James O’Connor and Joey Walton will form the centre combination, while Corey Toole, Lachie Anderson, and Jock Campbell complete the backline.

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Coach Jason Gilmore expressed his satisfaction with the selection of a strong side for the match, and he noted the high level of excitement among the players leading up to Friday’s clash against Tonga’s Ikale Tahi.

“Preparation has been good, the boys have been excellent and I think we’re looking pretty sound,” Gilmore said.

“It’s great to have a few of our Tongan boys like Nela and Folau over here with us – we had a great reception at the airport and we’re looking forward to a really special game for all our boys, in particular those with Tongan heritage.

“We’ve got a lot of guys who have captained at Super Rugby level and a lot of natural leadership around the squad but we think Bernard is a great choice to lead.

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“He’s got a lot of experience, played at Two World Cups and just led Kubota to a win over in Japan – he’s in form and will do a good job for us.”

AUSTRALIA A:

1. Tom Lambert (NSW Waratahs)
2. Folau Fainga’a (Western Force)
3. Taniela Tupou (Melbourne Rebels)
4. Lukhan Salakai-Loto (Melbourne Rebels)
5. Cadeyrn Neville (ACT Brumbies)
6. Lachlan Swinton (NSW Waratahs)
7. Brad Wilkin (Melbourne Rebels)
8. Seru Uru (Queensland Reds)
9. Jake Gordon (NSW Waratahs)
10. Bernard Foley (c) (Kubota Spears)
11. Corey Toole (ACT Brumbies)
12. James O’Connor (Queensland Reds)
13. Joey Walton (NSW Waratahs)
14. Lachlan Anderson (Melbourne Rebels)
15. Jock Campbell (Queensland Reds)

REPLACEMENTS:
16. Lachlan Lonergan (ACT Brumbies)
17. Angus Wagner (Western Force)
18. Sam Talakai (Melbourne Rebels)
19. Ned Hanigan (NSW Waratahs)
20. Harry Wilson (Queensland Reds)
21. Issak Fines-Leleiwasa (Western Force)
22. Ollie Sapsford (ACT Brumbies)
23. Josh Flook (Queensland Reds)

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1 Comment
M
MitchO 630 days ago

Not a lot of size in that backline

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J
JW 24 minutes 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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