Posts from August 2017 (43)

August 1, 2017

NRL Predictions for Round 22

Team Ratings for Round 22

The basic method is described on my Department home page.

Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Storm 9.57 8.49 1.10
Cowboys 5.79 6.90 -1.10
Sharks 4.27 5.84 -1.60
Broncos 3.76 4.36 -0.60
Raiders 2.92 9.94 -7.00
Panthers 2.58 6.08 -3.50
Roosters 2.27 -1.17 3.40
Eels 0.68 -0.81 1.50
Sea Eagles -1.33 -2.98 1.60
Dragons -1.45 -7.74 6.30
Rabbitohs -2.85 -1.82 -1.00
Warriors -3.32 -6.02 2.70
Titans -3.91 -0.98 -2.90
Wests Tigers -4.30 -3.89 -0.40
Bulldogs -5.42 -1.34 -4.10
Knights -11.30 -16.94 5.60

 

Performance So Far

So far there have been 152 matches played, 92 of which were correctly predicted, a success rate of 60.5%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Panthers vs. Bulldogs Jul 27 16 – 8 12.30 TRUE
2 Warriors vs. Sharks Jul 28 12 – 26 -1.60 TRUE
3 Eels vs. Broncos Jul 28 28 – 14 -2.10 FALSE
4 Knights vs. Dragons Jul 29 21 – 14 -8.80 FALSE
5 Rabbitohs vs. Raiders Jul 29 18 – 32 -0.10 TRUE
6 Roosters vs. Cowboys Jul 29 22 – 16 -1.20 FALSE
7 Storm vs. Sea Eagles Jul 30 40 – 6 10.80 TRUE
8 Titans vs. Wests Tigers Jul 30 4 – 26 8.50 FALSE

 

Predictions for Round 22

Here are the predictions for Round 22. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Bulldogs vs. Eels Aug 03 Eels -2.60
2 Dragons vs. Rabbitohs Aug 04 Dragons 4.90
3 Cowboys vs. Storm Aug 04 Storm -0.30
4 Knights vs. Warriors Aug 05 Warriors -4.00
5 Titans vs. Broncos Aug 05 Broncos -4.20
6 Sharks vs. Raiders Aug 05 Sharks 4.90
7 Sea Eagles vs. Roosters Aug 06 Roosters -0.10
8 Panthers vs. Wests Tigers Aug 06 Panthers 10.40

 

Currie Cup Predictions for Round 3

Team Ratings for Round 3

The basic method is described on my Department home page.

Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Lions 6.15 7.41 -1.30
Cheetahs 5.69 4.33 1.40
Western Province 2.77 3.30 -0.50
Blue Bulls 2.05 2.32 -0.30
Sharks 1.80 2.15 -0.30
Pumas -10.45 -10.63 0.20
Griquas -10.75 -11.62 0.90

 

Performance So Far

So far there have been 6 matches played, 5 of which were correctly predicted, a success rate of 83.3%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Lions vs. Griquas Jul 28 48 – 43 22.60 TRUE
2 Sharks vs. Pumas Jul 29 29 – 0 15.80 TRUE
3 Cheetahs vs. Western Province Jul 30 30 – 17 6.40 TRUE

 

Predictions for Round 3

Here are the predictions for Round 3. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Sharks vs. Griquas Aug 04 Sharks 17.10
2 Blue Bulls vs. Lions Aug 05 Blue Bulls 0.40
3 Western Province vs. Pumas Aug 05 Western Province 17.70

 

Holiday travel trends

The Herald has a story and video graphic, and a nice interactive graphic on international travel by Kiwis since 1979.  The story is basically good (and even quotes a price corrected for inflation).

Here’s one frame of the video graphic
escape

First, a lot of the world isn’t coloured. There are New Zealanders who have visited say, Germany or Turkey or Egypt, even though these countries never make it into the 1-24,999 colour category. It looks as if the video picks a set of 16 countries and follows just those forward in time: we’re not told how these were picked.

Second, there’s the usual map problem of big things looking big (exacerbated by the Mercator projection). In 1999, more people went to Fiji than the US; more to Samoa than France. A map isn’t good at making these differences visually obvious, though the animation helps. And, tangentially, if you’re going to use almost a third of the map real estate on the region north of 60°, you should notice that Alaska is part of the USA.

The other, more important, issue that’s common to the whole presentation (and which I understand is being updated at the moment) is what the country data actually mean. It seems that it really is holiday data, excluding both business and visiting friends/relatives (comparing the video to this from Figure.NZ), but it’s by “country of main destination”.  If you go to more than one country, only one is counted.  That’s why the interactive shows zero Kiwis travelling to the Vatican City, and it may help explain numbers like 300 for Belgium.

Official statistics usually measure something fairly precise, but it’s not always the thing that you want them to measure.