{"id":401,"date":"2012-08-09T14:25:49","date_gmt":"2012-08-09T20:25:49","guid":{"rendered":"http:\/\/67.227.157.91\/~kenpom\/wp_blog\/projections-for-returning-players\/"},"modified":"2016-05-07T19:47:44","modified_gmt":"2016-05-08T01:47:44","slug":"projections-for-returning-players","status":"publish","type":"post","link":"https:\/\/kenpom.com\/blog\/projections-for-returning-players\/","title":{"rendered":"Projections for returning players"},"content":{"rendered":"<p>I\u2019ve spent a good chunk of the last couple weeks putting together a player projection system, my primary goal at this point simply having one exist so that, in the future, it can be improved upon. It\u2019s built on a bunch of regressions that take into account the player\u2019s stats from last season, his basic demographics, his team\u2019s stats from last season, high school rankings and ratings, mock draft projections, and awards. <\/p>\n<p>It cannot handle (yet) transfers, freshmen (although we have <a href=\"http:\/\/kenpom.com\/blog\/2012-freshman-projections\">something else for some of them<\/a>, as you\u2019ll remember), redshirts, teammate activity, and coach activity. So quite a bit. But we have something to start with, and that\u2019s something we didn\u2019t have not too long ago.<\/p>\n<p>I\u2019ll get into some of the more interesting things I found in creating these projections as time goes on. For now, I\u2019m giving you the projections for (1) every BCS All-Conference returnee, (2) every mid-major first-team All-Conference returnee, (3) every low-major conference Player of the Year, (4) projected top draft picks by Draft Express, and (5) ten guys who have awesome stats but fit none of those categories.<\/p>\n<p>Two of the guys projected for the most regression are Doug McDermott and Isaiah Canaan, and it&#8217;s quickly clear what those three have in common: They all had fantastic, likely unsustainable shooting seasons in 2012. Some of their other numbers are certainly adjusted, but McDermott&#8217;s projected to drop from 49 percent to 38 percent and Canaan from 46 percent to 40 percent &#8211; a more impactful drop, considering the number of threes Canaan attempts. Jordan Taylor ran into this buzzsaw last year. Neither of those two should have bad seasons, by any means; McDermott probably still has the best projections of anyone. But don&#8217;t expect either of them to have another gear they&#8217;ve been holding back.<\/p>\n<p>The biggest improvements are expected of Le&#8217;Bryan Nash, Joshua Smith, Adonis Thomas, and James Michael McAdoo, and the similarities between those four are equally clear: Projected high draft picks coming off unimpressive seasons tend to improve quickly. Last season, for example, we saw big jumps from Thomas Robinson, Patric Young, and C.J. Leslie.<\/p>\n<pre>                           ORtg %Pos OR\/DR% A% TO%  B\/S% FC\/40 FTR FT% 2P% 3P% 3PA%\nTrevor Releford, Alabama   108   23   3\/9   22  18  0\/4   2.9   40 78% 50% 33%  30%\nSolomon Hill, Arizona      111   25   8\/19  18  19  2\/2   2.8   45 73% 52% 35%  32%\nB.J. Young, Arkansas       108   29   4\/10  19  17  1\/3   2.6   31 78% 50% 36%  37%\nPierre Jackson, Baylor     111   28   3\/8   37  22  0\/4   2.4   34 79% 47% 37%  47%\nMike Muscala, Bucknell     113   27  11\/24  12  15  6\/1   3.3   61 82% 56% 32%  10%\nJavon McCrea, Buffalo      110   30  12\/18  15  18  5\/2   3.9   46 65% 58% 28%   2%\nBrandon Davies, BYU        108   28   9\/21  15  17  5\/3   4.2   57 68% 56% 29%   3%\nAllen Crabbe, California   112   23   4\/16  12  13  2\/1   1.7   21 83% 47% 40%  51%\nSean Kilpatrick, Cincy     112   21   4\/11  15  14  1\/2   1.9   18 76% 46% 38%  54%\nAndre Roberson, Colorado   108   23  11\/28  10  16  6\/3   3.0   49 65% 54% 31%  19%\n\n                           ORtg %Pos OR\/DR% A% TO%  B\/S% FC\/40 FTR FT% 2P% 3P% 3PA%\nWes Eikmeier, Colorado St. 104   24   1\/8   14  16  0\/2   2.3   29 84% 44% 37%  42%\nDoug McDermott, Creighton  119   31  10\/19   8  13  1\/1   1.6   32 80% 57% 38%  25%\nDe\u2019Mon Brooks, Davidson    114   29  11\/18  10  16  3\/3   4.6   38 74% 54% 33%  17%\nJake Cohen, Davidson       114   26   9\/19  12  16  6\/2   4.5   52 81% 55% 35%  28%\nChris Udofia, Denver       111   29   9\/18  19  16  7\/2   3.8   42 72% 58% 34%  27%\nRay McCallum, Detroit      110   27   4\/12  27  17  1\/3   2.3   41 76% 51% 33%  31%\nFrantz Massenat, Drexel    113   21   3\/9   29  17  1\/2   2.8   47 81% 47% 37%  40%\nSeth Curry, Duke           111   22   3\/8   18  17  1\/3   2.7   33 83% 46% 38%  51%\nMason Plumlee, Duke        110   23  12\/23  12  20  5\/2   3.8   62 55% 57% 27%   1%\nColt Ryan, Evansville      108   27   3\/14  19  16  1\/3   3.1   46 84% 43% 39%  43%\n\n                           ORtg %Pos OR\/DR% A% TO%  B\/S% FC\/40 FTR FT% 2P% 3P% 3PA%\nKenny Boynton, Florida     116   23   3\/8   17  13  0\/2   1.3   25 78% 46% 40%  60%\nPatric Young, Florida      114   22  12\/18  10  17  3\/1   3.6   40 64% 58% 28%   0%\nMichael Snaer, Florida St. 107   25   3\/12  14  16  1\/2   2.2   28 81% 45% 38%  44%\nOtto Porter, Georgetown    113   23   9\/18  13  16  3\/2   2.3   35 71% 56% 32%  21%\nElias Harris, Gonzaga      110   24  10\/22  10  16  3\/2   2.6   35 71% 53% 34%  24%\nKevin Pangos, Gonzaga      115   22   2\/9   21  16  0\/2   2.0   30 83% 47% 39%  62%\nAlec Brown, Green Bay      104   23  11\/21   6  17  9\/2   3.3   40 76% 52% 29%   6%\nVander Joaquim, Hawaii     108   25  12\/23   8  18  6\/1   3.8   57 64% 58% 28%   2%\nBrandon Paul, Illinois     100   27   4\/14  20  18  3\/3   3.1   42 74% 47% 35%  43%\nJackie Carmichael, IL St.  108   26  11\/26   9  17  5\/1   3.7   62 70% 55% 29%   5%\n\n                           ORtg %Pos OR\/DR% A% TO%  B\/S% FC\/40 FTR FT% 2P% 3P% 3PA%\nCody Zeller, Indiana       119   26  12\/19  10  16  4\/3   3.8   62 72% 60% 30%   4%\nJeff Withey, Kansas        113   21  10\/22   7  16 13\/1   3.2   60 73% 55% 29%   0%\nRodney McGruder, K-State   113   22   7\/12  11  15  1\/2   2.1   31 81% 50% 36%  35%\nC.J. McCollum, Lehigh      113   32   4\/17  24  15  2\/4   2.6   42 82% 49% 37%  33%\nJulian Boyd, Long Island   115   28  10\/23   6  15  2\/1   3.9   54 72% 55% 33%  18%\nAnthony Ireland, LMU       109   26   2\/9   31  20  0\/3   2.2   33 78% 45% 34%  37%\nChaz Williams, UMass       112   24   2\/9   35  19  0\/4   3.2   46 83% 45% 37%  36%\nAdonis Thomas, Memphis     105   21   5\/12   8  16  3\/2   2.5   23 71% 52% 33%  27%\nKenny Kadji, Miami         105   22   8\/17   7  16  6\/1   3.6   39 69% 51% 33%  22%\nTrey Burke, Michigan       107   27   3\/10  28  17  1\/2   1.8   29 75% 49% 35%  38%\n\n                           ORtg %Pos OR\/DR% A% TO%  B\/S% FC\/40 FTR FT% 2P% 3P% 3PA%\nTim Hardaway, Michigan     106   26   4\/12  15  15  1\/1   2.4   33 71% 50% 35%  43%\nKeith Appling, Mich. State 108   24   3\/8   27  19  1\/3   2.7   48 76% 51% 34%  32%\nMichael Dixon, Missouri    114   28   1\/9   24  16  0\/2   2.1   38 83% 51% 38%  40%\nPhil Pressey, Missouri     111   25   1\/10  37  22  0\/4   2.1   40 77% 48% 37%  36%\nIsaiah Canaan, Murray St.  112   27   2\/9   22  16  0\/2   1.9   39 83% 47% 40%  59%\nLorenzo Brown, NC State    108   24   3\/12  36  23  2\/3   1.9   39 75% 49% 33%  23%\nC.J. Leslie, NC State      105   27  10\/19  10  18  5\/2   3.2   50 65% 54% 29%   6%\nDeonte Burton, Nevada      109   24   1\/8   26  17  1\/2   2.8   48 80% 46% 37%  46%\nJames Michael McAdoo, UNC  104   23   9\/16   7  15  3\/2   3.0   46 66% 48% 27%   2%\nTony Mitchell, North Texas 109   27  10\/25  11  18  9\/2   4.0   49 72% 55% 31%  24%\n\n                           ORtg %Pos OR\/DR% A% TO%  B\/S% FC\/40 FTR FT% 2P% 3P% 3PA%\nDrew Crawford, N\u2019western   110   24   5\/13  15  15  2\/2   2.3   28 76% 49% 37%  38%\nJack Cooley, Notre Dame    118   21  14\/22   7  15  5\/2   3.4   51 66% 60% 28%   0%\nAaron Craft, Ohio State    111   20   3\/11  30  23  1\/5   3.0   48 73% 51% 34%  28%\nDeshaun Thomas, Ohio State 119   26   9\/12   9  12  1\/1   2.1   25 76% 54% 36%  30%\nLe\u2019Bryan Nash, OK State    100   27   5\/14  12  18  2\/2   3.6   41 74% 47% 31%  21%\nE.J. Singler, Oregon       114   24   6\/16  15  17  2\/1   2.9   38 85% 51% 38%  40%\nTim Frazier, Penn State    105   29   5\/13  40  17  4\/3   3.1   43 81% 45% 32%  20%\nIan Hummer, Princeton      106   30   9\/19  21  17  4\/3   2.8   41 71% 53% 32%  19%\nVincent Council, Prov.     105   26   3\/9   39  19  1\/2   2.1   30 74% 45% 31%  23%\nJ. Franklin, San Diego St. 106   30   7\/20  12  17  3\/2   3.0   47 77% 49% 36%  41%\n\n                           ORtg %Pos OR\/DR% A% TO%  B\/S% FC\/40 FTR FT% 2P% 3P% 3PA%\nNate Wolters, S. Dak. St.  116   32   4\/14  31  15  1\/3   2.1   42 79% 51% 35%  27%\nM. Dellavedova, St. Mary\u2019s 116   25   2\/10  33  18  1\/2   1.8   40 82% 51% 38%  44%\nKhalif Wyatt, Temple       111   28   3\/11  22  16  1\/3   2.6   46 81% 49% 38%  44%\nJeronne Maymon, Tennessee  108   24  12\/20  11  19  2\/2   3.9   61 65% 53% 28%   4%\nMyck Kabongo, Texas        102   24   2\/9   34  26  0\/3   2.7   58 71% 44% 33%  34%\nRicky Tarrant, Tulane      107   25   2\/10  23  16  0\/3   2.9   43 77% 46% 35%  48%\nJoshua Smith, UCLA         107   29  14\/20   8  19  4\/2   6.3   67 62% 56% 27%   2%\nKeith Rendleman, UNCW      105   25  11\/20  11  17  3\/2   3.5   48 66% 53% 28%   2%\nMike Moser, UNLV           109   27  10\/26  16  18  4\/4   2.7   28 76% 53% 35%  32%\nTorrey Craig, USC Upstate  107   27   9\/20  11  16  4\/3   3.6   27 71% 50% 37%  53%\n\n                           ORtg %Pos OR\/DR% A% TO%  B\/S% FC\/40 FTR FT% 2P% 3P% 3PA%\nPreston Medlin, Utah State 115   25   2\/12  19  15  1\/1   1.7   32 82% 49% 40%  55%\nRyan Broekhoff, Valparaiso 117   23   7\/22  14  15  2\/2   2.4   39 78% 56% 39%  48%\nKevin Van Wijk, Valparaiso 106   29  11\/18   8  19  3\/2   4.6   75 63% 59% 28%   0%\nErick Green, Virginia Tech 107   26   2\/10  20  15  1\/2   1.9   30 84% 44% 35%  16%\nC.J. Harris, Wake Forest   106   24   2\/9   17  16  0\/2   2.3   48 82% 47% 37%  39%\nBrock Motum, Wash. State   108   30   8\/17  11  17  2\/1   2.8   46 74% 55% 33%  20%\nLeonard Washington, Wyo.   104   30   9\/24  10  15  5\/3   3.7   47 70% 55% 32%  22%\nKendrick Perry, Youngstown 110   26   3\/9   27  15  1\/4   1.8   38 74% 49% 35%  43%\n<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>I\u2019ve spent a good chunk of the last couple weeks putting together a player projection system, my primary goal at this point simply having one exist so that, in the future, it can be improved upon. It\u2019s built on a bunch of regressions that take into account the player\u2019s stats from last season, his basic [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/posts\/401"}],"collection":[{"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/comments?post=401"}],"version-history":[{"count":1,"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/posts\/401\/revisions"}],"predecessor-version":[{"id":1046,"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/posts\/401\/revisions\/1046"}],"wp:attachment":[{"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/media?parent=401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/categories?post=401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kenpom.com\/blog\/wp-json\/wp\/v2\/tags?post=401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}