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Ma'a Nonu on verge of shock return to Toulon - reports

Ma'a Nonu

Blues’ Ma’a Nonu is on the verge of a dramatic return to former club Toulon, according to reports in France.

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The 37-year-old former All Black could sign a one-year deal with the Top 14 club as cover for Mathieu Bastareaud, who has taken a sabbatical to join Rugby United New York for one season of US Major League Rugby. It has even been suggested a contract is on the table awaiting Nonu’s signature. And comments from president Mourad Boudjellal at the club’s end-of-season garden party this week have done little to quell the rumours.

At the event, at Toulon’s soon-to-be-redeveloped Berg training ground, Boudjellal confirmed the 12 players who have signed for the club ahead of the new Top 14 campaign, which kicks off on August 26, 2019. But he also revealed: “Recruitment is not over. We will hold a press conference around June 15. We are talking with important players. Things are moving forward.”

Asked if that meant confirmation of the return of Nonu to the Mediterranean coast, he merely said: “All in [good] time!”

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Nonu joined Toulon after the 2015 World Cup. He played 77 times, and scored 14 tries, for the French club before returning to New Zealand at the end of the 2017/18 Top 14 season. He appeared in two Top 14 finals – in 2016 and 2017 – finishing on the losing side on each occasion.

He has scored three times in 13 outings since joining the Blues ahead of the current Super Rugby campaign. But his form has not been enough to prompt New Zealand coach Steve Hansen to name him among an initial 41-player extended training squad for September’s World Cup. The All Blacks‘ squad has not been finalised for Japan, so all hope is not lost, but one last lucrative season in France may prove too tempting an opportunity to miss.

The 12 confirmed Toulon signings for 2019/20: Gervais Cordin; Théo Dachary; Masivesi Dakuwaka; Eben Etzebeth; Bryce Heem; Julien Heriteau; Thomas Hoarau; Nehe Milner-Skuder; Duncan Paia’aua; Baptiste Serin; Christopher Tolofua; Gabin Villiere. If Nonu signs, he will be the 11th non-France qualified player to join Toulon for 2019/2020. The maximum per squad for established Top 14 teams for the new season is 15.

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Teams must also name an average of 16 France-qualified players per matchday squad next season, or risk league points deduction.

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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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