Data analysis: Structure check up


<p>The byes are one week closer and will be pivotal to how your end of year ranking ends up. I will take a similar look as last week at how the top 1,000 is structured and what the generic team made up of the most picked players looks like.</p>



<p>A score of around 2,350 would have held you in good stead last week as we saw some big scores and ever improving teams (congrats if you held Coniglio and captained Oliver!). Definitely think about the byes for any trades this week and even plan out how you will upgrade your team. You want to have enough cash left over to upgrade each spot (so think about this before spending $600k+ on a given player).</p>



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<h2 class="wp-block-heading"><strong>Bye Structures:</strong></h2>



<p>The table below shows the average number of players and points that the top teams would field in each bye round with their current teams.&nbsp;</p>



<p>Round 12 was looking particularly low for players and points but this looks to have levelled out somewhat. Generally speaking, coaches seem to have traded out a round 12 bye player and traded in a round 13 bye player. The most common move looks to have been trading out N. Martin / Coniglio / Steele for G. Clark or a midfield premium (Oliver, Petracca, Brayshaw etc.). These two rounds are now looking equally lower scoring with round 14 expected to be a very strong.</p>



<p>I will be looking to set up my team with a slight advantage heading into each of these rounds and will not be holding back on any trades – this is the time to make some moves up the rankings.</p>



<figure class="wp-block-table"><table><tbody><tr><td><strong>Byes</strong></td><td><strong>Rd 12</strong></td><td><strong>Rd 13</strong></td><td><strong>Rd 14</strong></td></tr><tr><td>Avg. no. of Scoring Players</td><td>17.9</td><td>18.2</td><td>21.1</td></tr><tr><td>Avg. no. Premium / Keeper Players</td><td>12.3</td><td>13.0</td><td>13.2</td></tr><tr><td>Sum of scoring players points avg.</td><td>1745.6</td><td>1806.0</td><td>1961.2</td></tr></tbody></table></figure>



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<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="1024" src="http://13.210.220.211/wp-content/uploads/2022/03/Captains-challenge-2-1024x1024.png" alt="" class="wp-image-1956003" srcset="https://blog.scplaybook.com.au/wp-content/uploads/2022/03/Captains-challenge-2-1024x1024.png 1024w, https://blog.scplaybook.com.au/wp-content/uploads/2022/03/Captains-challenge-2-300x300.png 300w, https://blog.scplaybook.com.au/wp-content/uploads/2022/03/Captains-challenge-2-150x150.png 150w, https://blog.scplaybook.com.au/wp-content/uploads/2022/03/Captains-challenge-2-768x768.png 768w, https://blog.scplaybook.com.au/wp-content/uploads/2022/03/Captains-challenge-2-640x640.png 640w, https://blog.scplaybook.com.au/wp-content/uploads/2022/03/Captains-challenge-2.png 1080w" sizes="(max-width: 639px) 98vw, (max-width: 1199px) 64vw, 770px" /></figure>



<h2 class="wp-block-heading"><strong>Premium Count:</strong></h2>



<p>In terms of team structure, we can see the count per line of premium players for our top teams.</p>



<p>There doesn’t appear to have been too drastic a change in terms of premiums added or fielded average points compared to last week (2,324 to 2,315). The main change is that the model thinks Coniglio and Butters are keepers again (average over 90). How you answer this will probably play a key part in how the rest of your year goes. Keep or trade?</p>



<p>Expect coaches to fill out their team over the next few weeks with roughly one premium defender, midfielder and forward remaining.</p>



<figure class="wp-block-table"><table><tbody><tr><td><strong>Structure</strong></td><td><strong>DEF</strong></td><td><strong>MID</strong></td><td><strong>RUC</strong></td><td><strong>FWD</strong></td><td><strong>Total</strong></td></tr><tr><td>Scoring Players Avg</td><td>7.5</td><td>10.4</td><td>3.0</td><td>7.7</td><td>28.6</td></tr><tr><td>Premium / Keeper Avg</td><td>5.3</td><td>7.1</td><td>2.0</td><td>4.8</td><td>19.3</td></tr><tr><td>Avg Points</td><td>623.9</td><td>892.7</td><td>220.5</td><td>578.4</td><td>2315.6</td></tr></tbody></table></figure>



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<h2 class="wp-block-heading"><strong>Generic Top 1000 Team:</strong></h2>



<p>Based on the above table, we can form a consensus top 1,000 team based on the most selected premiums and non-premiums.&nbsp;</p>



<p>There wasn’t too much movement in the generic team this week, with the main change being Steele moving out for Andrew Brayshaw. G. Clark saw the largest ownership increase (+524) but was already in a fair number of top 1,000 teams (424) – so much for waiting for the bubble. Most coaches look to have moved out one of Coniglio (-20% ownership in the top 1,000), Martin (-32%) or Daicos (-36%) – however they remain in enough teams to stay in the consensus squad.</p>



<p>It looks fairly straightforward in terms of completing your defence and midfield – there are plenty of good options. They key questions look to be – which bulldogs players do you finish your forward line with (Bontempelli, Smith, English, Liberatore)? Do you keep Coniglio and Butters? And what will happen with our rucks?&nbsp;</p>



<figure class="wp-block-table"><table><tbody><tr><td><strong>Consensus Top 1000 Team</strong></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td><strong>Avg&nbsp;</strong></td><td></td><td></td><td><strong>Avg</strong></td></tr><tr><td>George Hewett</td><td>118</td><td></td><td>Lachie Neale</td><td>132</td></tr><tr><td>James Sicily</td><td>116</td><td></td><td>Clayton Oliver</td><td>126</td></tr><tr><td>Sam Docherty</td><td>110</td><td></td><td>Jack Macrae</td><td>122</td></tr><tr><td>Jayden Short</td><td>109</td><td></td><td>Christian Petracca</td><td>117</td></tr><tr><td>Jack Crisp</td><td>106</td><td></td><td>Patrick Cripps</td><td>116</td></tr><tr><td>Nick Daicos</td><td>80</td><td></td><td>Andrew Brayshaw</td><td>114</td></tr><tr><td>Patrick McCartin</td><td>70</td><td></td><td>Touk Miller</td><td>114</td></tr><tr><td>Sam De Koning</td><td>64</td><td></td><td>Greg Clark</td><td>74</td></tr><tr><td></td><td></td><td></td><td>Maurice Rioli</td><td>60</td></tr><tr><td></td><td></td><td></td><td>Robbie McComb</td><td>58</td></tr><tr><td></td><td></td><td></td><td>Jack Carroll</td><td>55</td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td><strong>Avg</strong></td><td></td><td></td><td><strong>Avg</strong></td></tr><tr><td>Josh Dunkley</td><td>114</td><td></td><td>Jarrod Witts</td><td>120</td></tr><tr><td>Isaac Heeney</td><td>106</td><td></td><td>Braydon Preuss</td><td>110</td></tr><tr><td>Will Brodie</td><td>105</td><td></td><td>Sam Hayes</td><td>75</td></tr><tr><td>Stephen Coniglio</td><td>93</td><td></td><td></td><td></td></tr><tr><td>Zak Butters</td><td>92</td><td></td><td></td><td></td></tr><tr><td>Nic Martin</td><td>82</td><td></td><td></td><td></td></tr><tr><td>Cooper Hamilton</td><td>61</td><td></td><td></td><td></td></tr><tr><td>Malcolm Rosas</td><td>54</td><td></td><td></td><td></td></tr></tbody></table></figure>


Data analysis: Structure check up

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