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Leinster hit by several injuries ahead of crucial Toulouse test

Ireland and Leinster outhalf Johnny Sexton (Photo by Dan Mullan/Getty Images)

Leinster have been dealt a blow with several of their front line players absent for their crunch Heineken Champions Cup clash with Toulouse.

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The defending champions must secure a win to give them a chance of finishing top of pool 1. They currently trail the French club by two points.

But Leinster will have to do without their talismanic outhalf Johnny Sexton, with Ross Bryne slotting in at 10.

The backline has also been shorn of Ireland duo Robbie Henshaw and Rob Kearney. In the pack second row Devin Toner also misses out.

Jordan Larmour starts in the number 15 jersey with Adam Byrne on the right wing and Dave Kearney on the left.

Rory O’Loughlin and Garry Ringrose are again the centre partnership having played together in the Munster game over Christmas.

In the half backs Luke McGrath is partnered with Ross Byrne.

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The front row sees Cian Healy, Seán Cronin and Tadhg Furlong scrum down with Scott Fardy and James Ryan behind in the engine room.

The back row features captain Rhys Ruddock, Josh van der Flier and Jack Conan at No. 8.

On the bench Conor O’Brien is in line to make his European debut having impressed over the last few months in the Guinness PRO14.

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Leinster Rugby (caps in brackets):

15. Jordan Larmour (31)
14. Adam Byrne (46)
13. Garry Ringrose (58)
12. Rory O’Loughlin (52)
11. Dave Kearney (128)
10. Ross Byrne (60)
9. Luke McGrath (105)
1. Cian Healy (200)
2. Sean Cronin (164)
3. Tadhg Furlong (94)
4. Scott Fardy (33)
5. James Ryan (24)
6. Rhys Ruddock (153) CAPTAIN
7. Josh van der Flier (69)
8. Jack Conan (83)

16. James Tracy (81)
17. Ed Byrne (34)
18. Andrew Porter (43)
19. Ross Molony (76)
20. Max Deegan (No 8)
21. Jamison Gibson-Park (63)
22. Noel Reid (111)
23. Conor O’Brien (10)

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J
JW 3 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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