{"id":887,"date":"2018-02-02T20:59:12","date_gmt":"2018-02-02T20:59:12","guid":{"rendered":"https:\/\/marriott-stats.com\/nigels-blog\/?p=887"},"modified":"2019-02-09T11:16:24","modified_gmt":"2019-02-09T11:16:24","slug":"6-nations-8-who-will-win-in-2018-week-1","status":"publish","type":"post","link":"https:\/\/marriott-stats.com\/nigels-blog\/6-nations-8-who-will-win-in-2018-week-1\/","title":{"rendered":"6 Nations #8 – Who will win in 2018? – Week 1"},"content":{"rendered":"

The 2018 6 Nations begins tomorrow and fans will be looking forward to a feast of rugby for the next two months.\u00a0 As always, pundits galore are making their predictions and the one thing we can count on is that some will have egg on their faces by the time it is over.\u00a0 In 2017, I used World Rugby’s Rankings to predict who would win each match in the 6 Nations and the Autumn Internationals and these predictions worked out well with 12 out of 15 6 Nations games and 15 out of the 19 Autumn International matches involving 6 Nations teams correctly called.<\/p>\n

World Rugby’s goal is that rankings can be used as a predictive tool.\u00a0 The idea is to take each team’s curre\"\"nt ranking and add 3 points to teams playing at home.\u00a0 Whoever has the higher ranking is then expected to win but the closer the rankings, the closer the game is expected to be.\u00a0 The current World Rugby rankings as of 7th December 2017 is shown to the right along with their ranking points and the change (if any) from the previous week.<\/p>\n

In 2017, I used these rankings to predict 27 out 34 games involving 6 Nations teams correctly.\u00a0 The full set of predictions is shown below starting with the 2017 6 nations where 12 out of 15 wer\"\"e correct. \u00a0 This table shows the ranking points at the time (adding 3 for home teams) next to each team and the difference between these in the middle (Diff column).\u00a0 The final match score is shown next to the Diff column.\u00a0 The 3 incorrect predictions are shown by blue cells in the Diff column and of these, two were expected to be very close and the 3rd was England’s unsuccessful attempt to wrap up winning the championship with a Grand Slam.<\/p>\n

The predictions for the 2017 Autumn Internationals are shown in the next table where 15 out of 19 were correct.\u00a0 Again the blue cells in the Diff column indicate the \"\"4 incorrect predictions and of these, two were again expected to be very close matches involving Scotland & Wales.<\/p>\n

Now that we have 34 matches to look back on, I thought it was worth examining the accuracy in more detail.\u00a0 I grouped the matches into 3 groups as follows:-<\/p>\n

    \n
  1. Where the ranking gap was less than 3 points – Out of 10 matches, 6 were correctly called.<\/li>\n
  2. Where the ranking gap was between 3 & 6 points – Out of 8 matches, 5 were correctly called.<\/li>\n
  3. Where the ranking gap was 7 points or more – out of 16 matches, all were correctly called.<\/li>\n<\/ol>\n

    These figures are \"\"shown by the black line in the next chart.\u00a0 What I did here was build a logistic regression model to estimate the probability that the prediction would be correct given a certain ranking gap and this shown by the green bars (shaded differently for each of the 3 groups above).\u00a0 Such a model allows me to add an additional feature to my predictions, the chances of my predictions being correct.<\/p>\n

    You can see these probabilities in the next table which lists my predictions for the 2018 6 Nations.\u00a0 As always, it is only week 1 that can be counted as a true prediction with the other weeks treated as indicative for now.\u00a0 This is because World Rugby will update the ranking points after each week which of course will lead to different predictions.<\/p>\n

    One of the things that many fans will be looking out for in 2018 is whether Scotland can ba\"\"ck up their demolition of Australia in November with a challenge for the 6 Nations title.\u00a0 It has been a while since Scotland could be considered contenders and at first sight the predictions in this table are discouraging with only 2 wins predicted.\u00a0 But this is where the win probabilities come into play as all 3 defeats come from 3 very close games where Scotland still have a distinct chance of winning.\u00a0 Indeed the ranking gap for their first game is less than 1 point and so far, all 3 games in 2017 where the gap was less than 1 point were incorrectly called.\u00a0 The Wales v Scotland game gets the 2018 championship going and I am certainly looking forward to it.<\/p>\n

    That aside, these predictions are pointing to an England v Ireland grand slam decider in the last week.\u00a0 Of course we now have bonus points as well and whilst I have no grounds for predicting bonus points, I have constructed a provisional league table with the following system.\u00a0 Where the ranking gap is less than 7 points, the expected losing team gets a losing bonus point and where the ranking gap is 14 points or m\"\"ore, the winning team gets a 4 try bonus point.\u00a0 This results in the following table.\u00a0 Whilst this shows England winning a Grand Slam, if you multiply England winning probabilities for the 5 games, you find their probability of winning a Grand Slam is only 50%.\u00a0 Personally I would surprised if there was a Grand Slam in 2018.<\/p>\n

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    The 2018 6 Nations begins tomorrow and fans will be looking forward to a feast of rugby for the next two months.\u00a0 As always, pundits galore are making their predictions and the one thing we can count on is that some will have egg on their faces by the time it is over.\u00a0 In 2017, […]<\/p>\n","protected":false},"author":3,"featured_media":898,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[90],"tags":[11,14,12,15],"class_list":{"0":"post-887","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-archive","8":"tag-6-nations","9":"tag-forecasts","10":"tag-rugby","11":"tag-sport-analytics","12":"entry","13":"override"},"_links":{"self":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/887","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/comments?post=887"}],"version-history":[{"count":7,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/887\/revisions"}],"predecessor-version":[{"id":901,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/887\/revisions\/901"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media\/898"}],"wp:attachment":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media?parent=887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/categories?post=887"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/tags?post=887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}