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Chiefs player ratings vs Blues | Super Rugby Pacific Grand Final

Anton Lienert-Brown of the Chiefs .Photo by Hannah Peters/Getty Images)

The Super Rugby final was a fizzer. The Chiefs failed miserably to scale the heights of their sem-final success stuffed by a patient, powerful and predictable Blues.

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Here’s how the Chiefs rated.

15. Shaun Stevenson – 4/10

A wayward pass to start on a rough night with limited opportunities. A fumble inside his own 22  in the 26th minute was most uncharacteristic.

14. Emoni Narawa – 5

Sprightly on the few occasions he had the ball.

13. Anton Lienert-Brown – 6

Delivered a quality offload for the Chiefs only try. Made eight tackles and might push for a starting place in the All Blacks with Rieko Ioane going a whole season without a try.

12. Rameka Poihipi – 5

Almost invisible as Chiefs were starved off the ball and the Blues rarely shifted their attack wider than the ten channel. Did make eight tackles. Opposite AJ Lam was a standout figure.

11. Etene Nanai-Seturo – 4

Kicked out on the full when a rare attacking chance arose. A second-half knock-on capped a miserable night.

10. Damian McKenzie – 5

A 50m penalty attempt in the opening minutes was curious. With his pack in retreat all night, he wasn’t able to influence much.

9. Cortez Ratima – 6

Was forced to make 14 tackles as the Blues rarely ventured far from the ruck. Distribution was swift.

Possession

Team Logo
4%
14%
32%
50%
Team Logo
18%
29%
34%
18%
Team Logo
Team Logo
53%
Possession Last 10 min
47%
67%
Possession
33%

8. Wallace Sititi – 8

A storming start with the strongest carries by a Chiefs forward in the match. He made 22 tackles on a night his growing reputation stayed intact.

7. Luke Jacobson – 7

Won some inspirational turnovers and tried hard to rally the troops. Made 16 tackles.

6. Samipeni Finau – 6

In a competitive cohort of loose forwards has Finau done enough to be recalled to the All Blacks? Wasn’t allowed to impose himself on the contest. Made 14 tackles but only had two carries.

5. Tupou Vaa’i – 6

Made 19 tackles but lacked the physical impact of his opposites.

4. Jimmy Tupou – 6

Was kept busy making 20 tackles. Discipline was off on occasion.

3. George Dyer – 6

Held on grimly against a rampant Ofai Tu’ungafasi. Yellow carded in the second half as penalties mounted against the Chiefs. Made 11 tackles.

2. Tyrone Thompson – 7

Missed two lineout throws in the first half but a brave effort from the Hawke’s Bay hooker who hadn’t played more than 24 minutes in a single game this season. Made 16 tackles, won a turnover, and his charge down had the Blues scrambling for once.

1. Aidan Ross – 7

The Chiefs scrum resisted the imperious Blues. Made 15 tackles.

Related

Reserves:

16. Millennium Sanerivi – 5

Came into the game when the result was a foregone conclusion but looks like a bustling player. Made four tackles.

17. Jared Proffit – 6

Stood firm in the scrum and made five tackles.

18. Reuben O’Neil – 6

Resolute in the scrum and made seven tackles.

19. Manaaki Selby-Rickit – 5

Couldn’t add the harder edge the Chiefs needed.

20. Simon Parker – 6

Scored a try and added some punch.

21. Xavier Roe – N/A

22. Quinn Tupaea – N/A

23. Daniel Rona – 5

Bundled over the sideline with his first touch. Was asked to pull a rabbit from a hat by the time he came on.

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Comments

18 Comments
s
swivel 284 days ago

These are a joke. Tyrone Wallace Luke Ratima alb all outplayed their opposite

Plummer is crazy good and deserves to be recognised as important in that game as dmac desire have a limited 10 attacking game, blues didn’t need it or want it so his 8 rating for doing what was needed is fine.

You also cant really give the chiefs back three low scores simply because they weren’t required in the game

N
Nikola 284 days ago

watching the Chiefs playing that poorly today I still wonder how the Canes managed to lose last week

J
Jen 284 days ago

Shooter was better than a 4.

M
Monique 284 days ago

Oh yeah go the blues we are chaps of super rugby 🏉 💙💙💙💙🏆🏆🏆🏆

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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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