{"id":18885,"date":"2020-04-06T11:39:02","date_gmt":"2020-04-06T15:39:02","guid":{"rendered":"https:\/\/www.sharpfootballanalysis.com\/?p=18885"},"modified":"2021-11-02T23:39:07","modified_gmt":"2021-11-03T03:39:07","slug":"dynasty-fantasy-football-top-5-2020-nfl-draft-wide-receiver-player-comps","status":"publish","type":"post","link":"https:\/\/www.sharpfootballanalysis.com\/fantasy\/dynasty-fantasy-football-top-5-2020-nfl-draft-wide-receiver-player-comps\/","title":{"rendered":"Dynasty Fantasy Football: Top-5 2020 NFL Draft Wide Receiver Player Comps"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">When watching and analyzing prospects entering the NFL, it\u2019s not uncommon to see subjective comparisons made to current players in the league. Whether it\u2019s a specific trait or the package of a prospect, we\u2019re all guilty of doing it.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cThe route running of Antonio Brown\u201d.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cThe body control of DeAndre Hopkins\u201d.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cThe explosiveness of DeSean Jackson\u201d for an undersized receiver.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cHe\u2019s Wes Welker\u201d for every Caucasian slot receiver.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Unfortunately, projecting players transitioning to the league for real football and our fantasy game is a sobering process. The reason our comparisons go to high-level players is because they stick out at the pantheon of rare achievement. Often they are comparisons being made to established players and not entirely when those players were prospects themselves. Check your favorite draft guru\u2019s comparisons. It\u2019s not often you see a wideout compared to Charles Rogers. Or Troy Williamson. Or David Terrell and so on down the line even though subjectively those players were also once viewed to share elite traits and comparisons to players of their time.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Before I steamroll into another direction, let me say that there\u2019s nothing wrong with subjective player comps. I do it, too. But the angle we want to take here is to generate objective comparisons for the top prospects on the board. The goal here isn\u2019t to directly say \u201cthis is what the player will become\u201d but provide further clarity on the objective archetype of player and where similar prospects were valued by the league objectively based on declare status, age, size, final season, and career production adjusted for age, and physical profile adjusted for size.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Kicking things off, we\u2019re starting with <\/span><a href=\"https:\/\/www.sharpfootballanalysis.com\/fantasy\/2020-pre-nfl-draft-fantasy-rookie-rankings-wide-receiver-1-10\/\"><span style=\"font-weight: 400;\">the top-5 wide receivers that I have in pre-draft rookie rankings<\/span><\/a><span style=\"font-weight: 400;\"> at the position and generating their top-5 objective comparisons from the previous 10 drafts.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">One last piece of housekeeping. The comps are generated through Z-scores from the model used in that piece. The production and physical scores are listed in where those players rank in terms of percentile in each.\u00a0<\/span><\/p>\n<h2>CeeDee Lamb, Oklahoma<\/h2>\n<div class='jtrt_table_MotherShipContainer'><div class='jtTableContainer jtrespo-scroll  ' ><div class='jtsettingcontainer' style='display:none;position:absolute;left:-9999px;'><textarea data-jtrt-table-id='18883' id='jtrt_table_settings_18883' cols='30' rows='10'>[[[\"Player\",\"School\",\"Year\",\"RY Age\",\"BO Age\",\"Ht\",\"Wt\",\"Physical\",\"FY Prod.\",\"CarProd.\",\"Draft\"],[\"CeeDee Lamb\",\"Oklahoma\",\"2020\",\"21.8\",\"19.4\",\"73\",\"198\",\"36.50%\",\"82.50%\",\"87.90%\",\"TBD\"],[\"Keenan Allen\",\"California\",\"2013\",\"21.3\",\"18.4\",\"74\",\"206\",\"22.10%\",\"93.80%\",\"88.80%\",\"76\"],[\"Kenny Stills\",\"Oklahoma\",\"2013\",\"21.4\",\"19.4\",\"73\",\"194\",\"54.90%\",\"84.70%\",\"78.90%\",\"144\"],[\"Robert Woods\",\"USC\",\"2013\",\"21.4\",\"18.4\",\"73\",\"201\",\"18.00%\",\"60.10%\",\"96.30%\",\"41\"],[\"Nelson Agholor\",\"USC\",\"2015\",\"22.6\",\"20.3\",\"72\",\"198\",\"59.90%\",\"87.90%\",\"69.50%\",\"20\"],[\"Damian Williams\",\"USC\",\"2010\",\"22.3\",\"20.3\",\"73\",\"197\",\"45.90%\",\"68.70%\",\"57.10%\",\"77\"]],[{\"row\":0,\"col\":0,\"visualRow\":0,\"visualCol\":0,\"prop\":0},{\"row\":0,\"col\":1,\"visualRow\":0,\"visualCol\":1,\"prop\":1},{\"row\":0,\"col\":2,\"visualRow\":0,\"visualCol\":2,\"prop\":2},{\"row\":0,\"col\":3,\"visualRow\":0,\"visualCol\":3,\"prop\":3},{\"row\":0,\"col\":4,\"visualRow\":0,\"visualCol\":4,\"prop\":4},{\"row\":0,\"col\":5,\"visualRow\":0,\"visualCol\":5,\"prop\":5},{\"row\":0,\"col\":6,\"visualRow\":0,\"visualCol\":6,\"prop\":6},{\"row\":0,\"col\":7,\"visualRow\":0,\"visualCol\":7,\"prop\":7},{\"row\":0,\"col\":8,\"visualRow\":0,\"visualCol\":8,\"prop\":8},{\"row\":0,\"col\":9,\"visualRow\":0,\"visualCol\":9,\"prop\":9},{\"row\":0,\"col\":10,\"visualRow\":0,\"visualCol\":10,\"prop\":10},{\"row\":1,\"col\":0,\"visualRow\":1,\"visualCol\":0,\"prop\":0},{\"row\":1,\"col\":1,\"visualRow\":1,\"visualCol\":1,\"prop\":1},{\"row\":1,\"col\":2,\"visualRow\":1,\"visualCol\":2,\"prop\":2},{\"row\":1,\"col\":3,\"visualRow\":1,\"visualCol\":3,\"prop\":3},{\"row\":1,\"col\":4,\"visualRow\":1,\"visualCol\":4,\"prop\":4},{\"row\":1,\"col\":5,\"visualRow\":1,\"visualCol\":5,\"prop\":5},{\"row\":1,\"col\":6,\"visualRow\":1,\"visualCol\":6,\"prop\":6},{\"row\":1,\"col\":7,\"visualRow\":1,\"visualCol\":7,\"prop\":7},{\"row\":1,\"col\":8,\"visualRow\":1,\"visualCol\":8,\"prop\":8},{\"row\":1,\"col\":9,\"visualRow\":1,\"visualCol\":9,\"prop\":9},{\"row\":1,\"col\":10,\"visualRow\":1,\"visualCol\":10,\"prop\":10},{\"row\":2,\"col\":0,\"visualRow\":2,\"visualCol\":0,\"prop\":0},{\"row\":2,\"col\":1,\"visualRow\":2,\"visualCol\":1,\"prop\":1},{\"row\":2,\"col\":2,\"visualRow\":2,\"visualCol\":2,\"prop\":2},{\"row\":2,\"col\":3,\"visualRow\":2,\"visualCol\":3,\"prop\":3},{\"row\":2,\"col\":4,\"visualRow\":2,\"visualCol\":4,\"prop\":4},{\"row\":2,\"col\":5,\"visualRow\":2,\"visualCol\":5,\"prop\":5},{\"row\":2,\"col\":6,\"visualRow\":2,\"visualCol\":6,\"prop\":6},{\"row\":2,\"col\":7,\"visualRow\":2,\"visualCol\":7,\"prop\":7},{\"row\":2,\"col\":8,\"visualRow\":2,\"visualCol\":8,\"prop\":8},{\"row\":2,\"col\":9,\"visualRow\":2,\"visualCol\":9,\"prop\":9},{\"row\":2,\"col\":10,\"visualRow\":2,\"visualCol\":10,\"prop\":10},{\"row\":3,\"col\":0,\"visualRow\":3,\"visualCol\":0,\"prop\":0},{\"row\":3,\"col\":1,\"visualRow\":3,\"visualCol\":1,\"prop\":1},{\"row\":3,\"col\":2,\"visualRow\":3,\"visualCol\":2,\"prop\":2},{\"row\":3,\"col\":3,\"visualRow\":3,\"visualCol\":3,\"prop\":3},{\"row\":3,\"col\":4,\"visualRow\":3,\"visualCol\":4,\"prop\":4},{\"row\":3,\"col\":5,\"visualRow\":3,\"visualCol\":5,\"prop\":5},{\"row\":3,\"col\":6,\"visualRow\":3,\"visualCol\":6,\"prop\":6},{\"row\":3,\"col\":7,\"visualRow\":3,\"visualCol\":7,\"prop\":7},{\"row\":3,\"col\":8,\"visualRow\":3,\"visualCol\":8,\"prop\":8},{\"row\":3,\"col\":9,\"visualRow\":3,\"visualCol\":9,\"prop\":9},{\"row\":3,\"col\":10,\"visualRow\":3,\"visualCol\":10,\"prop\":10},{\"row\":4,\"col\":0,\"visualRow\":4,\"visualCol\":0,\"prop\":0},{\"row\":4,\"col\":1,\"visualRow\":4,\"visualCol\":1,\"prop\":1},{\"row\":4,\"col\":2,\"visualRow\":4,\"visualCol\":2,\"prop\":2},{\"row\":4,\"col\":3,\"visualRow\":4,\"visualCol\":3,\"prop\":3},{\"row\":4,\"col\":4,\"visualRow\":4,\"visualCol\":4,\"prop\":4},{\"row\":4,\"col\":5,\"visualRow\":4,\"visualCol\":5,\"prop\":5},{\"row\":4,\"col\":6,\"visualRow\":4,\"visualCol\":6,\"prop\":6},{\"row\":4,\"col\":7,\"visualRow\":4,\"visualCol\":7,\"prop\":7},{\"row\":4,\"col\":8,\"visualRow\":4,\"visualCol\":8,\"prop\":8},{\"row\":4,\"col\":9,\"visualRow\":4,\"visualCol\":9,\"prop\":9},{\"row\":4,\"col\":10,\"visualRow\":4,\"visualCol\":10,\"prop\":10},{\"row\":5,\"col\":0,\"visualRow\":5,\"visualCol\":0,\"prop\":0},{\"row\":5,\"col\":1,\"visualRow\":5,\"visualCol\":1,\"prop\":1},{\"row\":5,\"col\":2,\"visualRow\":5,\"visualCol\":2,\"prop\":2},{\"row\":5,\"col\":3,\"visualRow\":5,\"visualCol\":3,\"prop\":3},{\"row\":5,\"col\":4,\"visualRow\":5,\"visualCol\":4,\"prop\":4},{\"row\":5,\"col\":5,\"visualRow\":5,\"visualCol\":5,\"prop\":5},{\"row\":5,\"col\":6,\"visualRow\":5,\"visualCol\":6,\"prop\":6},{\"row\":5,\"col\":7,\"visualRow\":5,\"visualCol\":7,\"prop\":7},{\"row\":5,\"col\":8,\"visualRow\":5,\"visualCol\":8,\"prop\":8},{\"row\":5,\"col\":9,\"visualRow\":5,\"visualCol\":9,\"prop\":9},{\"row\":5,\"col\":10,\"visualRow\":5,\"visualCol\":10,\"prop\":10},{\"row\":6,\"col\":0,\"visualRow\":6,\"visualCol\":0,\"prop\":0},{\"row\":6,\"col\":1,\"visualRow\":6,\"visualCol\":1,\"prop\":1},{\"row\":6,\"col\":2,\"visualRow\":6,\"visualCol\":2,\"prop\":2},{\"row\":6,\"col\":3,\"visualRow\":6,\"visualCol\":3,\"prop\":3},{\"row\":6,\"col\":4,\"visualRow\":6,\"visualCol\":4,\"prop\":4},{\"row\":6,\"col\":5,\"visualRow\":6,\"visualCol\":5,\"prop\":5},{\"row\":6,\"col\":6,\"visualRow\":6,\"visualCol\":6,\"prop\":6},{\"row\":6,\"col\":7,\"visualRow\":6,\"visualCol\":7,\"prop\":7},{\"row\":6,\"col\":8,\"visualRow\":6,\"visualCol\":8,\"prop\":8},{\"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data-jtrt-table-id='18883' id='jtrt_table_bps_18883' cols='30' rows='10'>[]<\/textarea><\/div><table id='jtrt_table_18883' data-sorting='false' data-paging='false' data-paging-size='10' data-paging-menu='10,20,50,100' data-filtering='false' data-jtrt-table-id='18883' class='jtrt-table  ' ><thead><tr><th>Player<\/th><th>School<\/th><th>Year<\/th><th>RY Age<\/th><th>BO Age<\/th><th>Ht<\/th><th>Wt<\/th><th>Physical<\/th><th>FY Prod.<\/th><th>CarProd.<\/th><th>Draft<\/th><\/tr><\/thead><tbody><tr><td>CeeDee Lamb<\/td><td>Oklahoma<\/td><td>2020<\/td><td>21.8<\/td><td>19.4<\/td><td>73<\/td><td>198<\/td><td>36.50%<\/td><td>82.50%<\/td><td>87.90%<\/td><td>TBD<\/td><\/tr><tr><td>Keenan Allen<\/td><td>California<\/td><td>2013<\/td><td>21.3<\/td><td>18.4<\/td><td>74<\/td><td>206<\/td><td>22.10%<\/td><td>93.80%<\/td><td>88.80%<\/td><td>76<\/td><\/tr><tr><td>Kenny Stills<\/td><td>Oklahoma<\/td><td>2013<\/td><td>21.4<\/td><td>19.4<\/td><td>73<\/td><td>194<\/td><td>54.90%<\/td><td>84.70%<\/td><td>78.90%<\/td><td>144<\/td><\/tr><tr><td>Robert Woods<\/td><td>USC<\/td><td>2013<\/td><td>21.4<\/td><td>18.4<\/td><td>73<\/td><td>201<\/td><td>18.00%<\/td><td>60.10%<\/td><td>96.30%<\/td><td>41<\/td><\/tr><tr><td>Nelson Agholor<\/td><td>USC<\/td><td>2015<\/td><td>22.6<\/td><td>20.3<\/td><td>72<\/td><td>198<\/td><td>59.90%<\/td><td>87.90%<\/td><td>69.50%<\/td><td>20<\/td><\/tr><tr><td>Damian Williams<\/td><td>USC<\/td><td>2010<\/td><td>22.3<\/td><td>20.3<\/td><td>73<\/td><td>197<\/td><td>45.90%<\/td><td>68.70%<\/td><td>57.10%<\/td><td>77<\/td><\/tr><\/tbody><\/table><\/div><\/div>\n<p><i><span style=\"font-weight: 400;\">*RY Age= Age in Rookie NFL Season<br \/>\n<\/span><\/i><i><span style=\"font-weight: 400;\">**BO Age= First season in which WR accounted for 20% Dominator Rating<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">None of the top wideouts in this class expected to be first-round locks are what would be categorized as \u201calpha\u201d type X options for an offense. We\u2019ve got tweener-builds at the top that have pedestrian physical profiles entering the league. Neither are as detrimental to future success as the verbiage suggests, however, because <\/span><a href=\"https:\/\/www.sharpfootballanalysis.com\/fantasy\/dynasty-fantasy-football-should-you-avoid-non-early-declare-wide-receivers\/\"><span style=\"font-weight: 400;\">what we really care about most is age-related production and declare status for wideouts<\/span><\/a><span style=\"font-weight: 400;\"> before uncovering the physical layout and whether or not a guy can be Julio Jones.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Lamb\u2019s top comp is a favorable one in <\/span><b>Keenan Allen<\/b><span style=\"font-weight: 400;\">, who has reeled off six seasons already as a WR3 or better in PPR points per game, five as a WR2 or better, and three as a WR1 or better. <\/span><b>Robert Woods<\/b><span style=\"font-weight: 400;\"> also shows up here, who has been a WR2 in points per game in each of the past three seasons.\u00a0<\/span><\/p>\n<p><b>Nelson Agholor<\/b><span style=\"font-weight: 400;\"> is the only first-round comp here, but everyone else was valued highly as a top-80 draft pick with the exception of <\/span><b>Kenny Stills<\/b><span style=\"font-weight: 400;\">. Damian Williams gives us a set of USC wideout comps, but is at the lower end of the hits, not having as strong as a production profile.\u00a0<\/span><\/p>\n<h2>Jerry Jeudy, Alabama<\/h2>\n<div class='jtrt_table_MotherShipContainer'><div class='jtTableContainer jtrespo-scroll  ' ><div class='jtsettingcontainer' style='display:none;position:absolute;left:-9999px;'><textarea data-jtrt-table-id='18888' id='jtrt_table_settings_18888' cols='30' rows='10'>[[[\"Player\",\"School\",\"Year\",\"RY Age\",\"BO Age\",\"Ht\",\"Wt\",\"Physical\",\"FY Prod.\",\"CarProd.\",\"Draft\"],[\"Jerry Jeudy\",\"Alabama\",\"2020\",\"21.8\",\"19.4\",\"73\",\"193\",\"22.20%\",\"75.60%\",\"86.10%\",\"TBD\"],[\"Stefon Diggs\",\"Maryland\",\"2015\",\"22.1\",\"18.6\",\"72\",\"195\",\"27.20%\",\"50.80%\",\"80.50%\",\"146\"],[\"Isaiah Ford\",\"Virginia Tech\",\"2017\",\"21.9\",\"18.6\",\"73\",\"194\",\"23.70%\",\"59.60%\",\"87.00%\",\"237\"],[\"Robert Woods\",\"USC\",\"2013\",\"21.4\",\"18.4\",\"73\",\"201\",\"18.00%\",\"60.10%\",\"96.30%\",\"41\"],[\"Rashard Higgins\",\"Colorado State\",\"2016\",\"22.2\",\"18.9\",\"73\",\"196\",\"3.80%\",\"72.30%\",\"95.40%\",\"172\"],[\"Will Fuller\",\"Notre Dame\",\"2016\",\"22.7\",\"20.4\",\"72\",\"186\",\"51.70%\",\"89.50%\",\"89.10%\",\"21\"]],[{\"row\":0,\"col\":0,\"visualRow\":0,\"visualCol\":0,\"prop\":0},{\"row\":0,\"col\":1,\"visualRow\":0,\"visualCol\":1,\"prop\":1},{\"row\":0,\"col\":2,\"visualRow\":0,\"visualCol\":2,\"prop\":2},{\"row\":0,\"col\":3,\"visualRow\":0,\"visualCol\":3,\"prop\":3},{\"row\":0,\"col\":4,\"visualRow\":0,\"visualCol\":4,\"prop\":4},{\"row\":0,\"col\":5,\"visualRow\":0,\"visualCol\":5,\"prop\":5},{\"row\":0,\"col\":6,\"visualRow\":0,\"visualCol\":6,\"prop\":6},{\"row\":0,\"col\":7,\"visualRow\":0,\"visualCol\":7,\"prop\":7},{\"row\":0,\"col\":8,\"visualRow\":0,\"visualCol\":8,\"prop\":8},{\"row\":0,\"col\":9,\"visualRow\":0,\"visualCol\":9,\"prop\":9},{\"row\":0,\"col\":10,\"visualRow\":0,\"visualCol\":10,\"prop\":10},{\"row\":1,\"col\":0,\"visualRow\":1,\"visualCol\":0,\"prop\":0},{\"row\":1,\"col\":1,\"visualRow\":1,\"visualCol\":1,\"prop\":1},{\"row\":1,\"col\":2,\"visualRow\":1,\"visualCol\":2,\"prop\":2},{\"row\":1,\"col\":3,\"visualRow\":1,\"visualCol\":3,\"prop\":3},{\"row\":1,\"col\":4,\"visualRow\":1,\"visualCol\":4,\"prop\":4},{\"row\":1,\"col\":5,\"visualRow\":1,\"visualCol\":5,\"prop\":5},{\"row\":1,\"col\":6,\"visualRow\":1,\"visualCol\":6,\"prop\":6},{\"row\":1,\"col\":7,\"visualRow\":1,\"visualCol\":7,\"prop\":7},{\"row\":1,\"col\":8,\"visualRow\":1,\"visualCol\":8,\"prop\":8},{\"row\":1,\"col\":9,\"visualRow\":1,\"visualCol\":9,\"prop\":9},{\"row\":1,\"col\":10,\"visualRow\":1,\"visualCol\":10,\"prop\":10},{\"row\":2,\"col\":0,\"visualRow\":2,\"visualCol\":0,\"prop\":0},{\"row\":2,\"col\":1,\"visualRow\":2,\"visualCol\":1,\"prop\":1},{\"row\":2,\"col\":2,\"visualRow\":2,\"visualCol\":2,\"prop\":2},{\"row\":2,\"col\":3,\"visualRow\":2,\"visualCol\":3,\"prop\":3},{\"row\":2,\"col\":4,\"visualRow\":2,\"visualCol\":4,\"prop\":4},{\"row\":2,\"col\":5,\"visualRow\":2,\"visualCol\":5,\"prop\":5},{\"row\":2,\"col\":6,\"visualRow\":2,\"visualCol\":6,\"prop\":6},{\"row\":2,\"col\":7,\"visualRow\":2,\"visualCol\":7,\"prop\":7},{\"row\":2,\"col\":8,\"visualRow\":2,\"visualCol\":8,\"prop\":8},{\"row\":2,\"col\":9,\"visualRow\":2,\"visualCol\":9,\"prop\":9},{\"row\":2,\"col\":10,\"visualRow\":2,\"visualCol\":10,\"prop\":10},{\"row\":3,\"col\":0,\"visualRow\":3,\"visualCol\":0,\"prop\":0},{\"row\":3,\"col\":1,\"visualRow\":3,\"visualCol\":1,\"prop\":1},{\"row\":3,\"col\":2,\"visualRow\":3,\"visualCol\":2,\"prop\":2},{\"row\":3,\"col\":3,\"visualRow\":3,\"visualCol\":3,\"prop\":3},{\"row\":3,\"col\":4,\"visualRow\":3,\"visualCol\":4,\"prop\":4},{\"row\":3,\"col\":5,\"visualRow\":3,\"visualCol\":5,\"prop\":5},{\"row\":3,\"col\":6,\"visualRow\":3,\"visualCol\":6,\"prop\":6},{\"row\":3,\"col\":7,\"visualRow\":3,\"visualCol\":7,\"prop\":7},{\"row\":3,\"col\":8,\"visualRow\":3,\"visualCol\":8,\"prop\":8},{\"row\":3,\"col\":9,\"visualRow\":3,\"visualCol\":9,\"prop\":9},{\"row\":3,\"col\":10,\"visualRow\":3,\"visualCol\":10,\"prop\":10},{\"row\":4,\"col\":0,\"visualRow\":4,\"visualCol\":0,\"prop\":0},{\"row\":4,\"col\":1,\"visualRow\":4,\"visualCol\":1,\"prop\":1},{\"row\":4,\"col\":2,\"visualRow\":4,\"visualCol\":2,\"prop\":2},{\"row\":4,\"col\":3,\"visualRow\":4,\"visualCol\":3,\"prop\":3},{\"row\":4,\"col\":4,\"visualRow\":4,\"visualCol\":4,\"prop\":4},{\"row\":4,\"col\":5,\"visualRow\":4,\"visualCol\":5,\"prop\":5},{\"row\":4,\"col\":6,\"visualRow\":4,\"visualCol\":6,\"prop\":6},{\"row\":4,\"col\":7,\"visualRow\":4,\"visualCol\":7,\"prop\":7},{\"row\":4,\"col\":8,\"visualRow\":4,\"visualCol\":8,\"prop\":8},{\"row\":4,\"col\":9,\"visualRow\":4,\"visualCol\":9,\"prop\":9},{\"row\":4,\"col\":10,\"visualRow\":4,\"visualCol\":10,\"prop\":10},{\"row\":5,\"col\":0,\"visualRow\":5,\"visualCol\":0,\"prop\":0},{\"row\":5,\"col\":1,\"visualRow\":5,\"visualCol\":1,\"prop\":1},{\"row\":5,\"col\":2,\"visualRow\":5,\"visualCol\":2,\"prop\":2},{\"row\":5,\"col\":3,\"visualRow\":5,\"visualCol\":3,\"prop\":3},{\"row\":5,\"col\":4,\"visualRow\":5,\"visualCol\":4,\"prop\":4},{\"row\":5,\"col\":5,\"visualRow\":5,\"visualCol\":5,\"prop\":5},{\"row\":5,\"col\":6,\"visualRow\":5,\"visualCol\":6,\"prop\":6},{\"row\":5,\"col\":7,\"visualRow\":5,\"visualCol\":7,\"prop\":7},{\"row\":5,\"col\":8,\"visualRow\":5,\"visualCol\":8,\"prop\":8},{\"row\":5,\"col\":9,\"visualRow\":5,\"visualCol\":9,\"prop\":9},{\"row\":5,\"col\":10,\"visualRow\":5,\"visualCol\":10,\"prop\":10},{\"row\":6,\"col\":0,\"visualRow\":6,\"visualCol\":0,\"prop\":0},{\"row\":6,\"col\":1,\"visualRow\":6,\"visualCol\":1,\"prop\":1},{\"row\":6,\"col\":2,\"visualRow\":6,\"visualCol\":2,\"prop\":2},{\"row\":6,\"col\":3,\"visualRow\":6,\"visualCol\":3,\"prop\":3},{\"row\":6,\"col\":4,\"visualRow\":6,\"visualCol\":4,\"prop\":4},{\"row\":6,\"col\":5,\"visualRow\":6,\"visualCol\":5,\"prop\":5},{\"row\":6,\"col\":6,\"visualRow\":6,\"visualCol\":6,\"prop\":6},{\"row\":6,\"col\":7,\"visualRow\":6,\"visualCol\":7,\"prop\":7},{\"row\":6,\"col\":8,\"visualRow\":6,\"visualCol\":8,\"prop\":8},{\"row\":6,\"co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data-jtrt-table-id='18888' id='jtrt_table_bps_18888' cols='30' rows='10'>[]<\/textarea><\/div><table id='jtrt_table_18888' data-sorting='false' data-paging='false' data-paging-size='10' data-paging-menu='10,20,50,100' data-filtering='false' data-jtrt-table-id='18888' class='jtrt-table  ' ><thead><tr><th>Player<\/th><th>School<\/th><th>Year<\/th><th>RY Age<\/th><th>BO Age<\/th><th>Ht<\/th><th>Wt<\/th><th>Physical<\/th><th>FY Prod.<\/th><th>CarProd.<\/th><th>Draft<\/th><\/tr><\/thead><tbody><tr><td>Jerry Jeudy<\/td><td>Alabama<\/td><td>2020<\/td><td>21.8<\/td><td>19.4<\/td><td>73<\/td><td>193<\/td><td>22.20%<\/td><td>75.60%<\/td><td>86.10%<\/td><td>TBD<\/td><\/tr><tr><td>Stefon Diggs<\/td><td>Maryland<\/td><td>2015<\/td><td>22.1<\/td><td>18.6<\/td><td>72<\/td><td>195<\/td><td>27.20%<\/td><td>50.80%<\/td><td>80.50%<\/td><td>146<\/td><\/tr><tr><td>Isaiah Ford<\/td><td>Virginia Tech<\/td><td>2017<\/td><td>21.9<\/td><td>18.6<\/td><td>73<\/td><td>194<\/td><td>23.70%<\/td><td>59.60%<\/td><td>87.00%<\/td><td>237<\/td><\/tr><tr><td>Robert Woods<\/td><td>USC<\/td><td>2013<\/td><td>21.4<\/td><td>18.4<\/td><td>73<\/td><td>201<\/td><td>18.00%<\/td><td>60.10%<\/td><td>96.30%<\/td><td>41<\/td><\/tr><tr><td>Rashard Higgins<\/td><td>Colorado State<\/td><td>2016<\/td><td>22.2<\/td><td>18.9<\/td><td>73<\/td><td>196<\/td><td>3.80%<\/td><td>72.30%<\/td><td>95.40%<\/td><td>172<\/td><\/tr><tr><td>Will Fuller<\/td><td>Notre Dame<\/td><td>2016<\/td><td>22.7<\/td><td>20.4<\/td><td>72<\/td><td>186<\/td><td>51.70%<\/td><td>89.50%<\/td><td>89.10%<\/td><td>21<\/td><\/tr><\/tbody><\/table><\/div><\/div>\n<p><span style=\"font-weight: 400;\">Pulling up Jeudy\u2019s top comps, we get a lot of disparity in terms of draft capital with three of the top hits taken with draft selections 146 or later. Jeudy has a slightly weaker physical profile than Lamb, so we have a lot of highly productive players here that measured out on the lower end from a physical stance. The difference here in favor of Jeudy over some of the other guys such as a <\/span><b>Rashard Higgins<\/b><span style=\"font-weight: 400;\"> or <\/span><b>Isaiah Ford<\/b><span style=\"font-weight: 400;\"> is that while his measured athleticism didn\u2019t match his production, Jeudy\u2019s production came in the SEC and not the ACC or Mountain West.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">We have plenty of evidence that shows Jeudy is more than capable on the athletic side of things while players such as Higgins and Ford may have gotten more of a pass on the collegiate level through strength of competition as their subpar athletic profiles came to light at higher levels.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">His top hit is <\/span><b>Stefon Diggs<\/b><span style=\"font-weight: 400;\">, who was a great find for Vikings at his draft cost. Diggs didn\u2019t have as strong as a final collegiate season as Jeudy did, but is a near overlap everywhere from career output per game, share of team production, and physical profile.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The top three wideouts in this class all have similar builds and production profiles, so we\u2019re going to have some overlap in comparisons. Robert Woods makes this list as well after popping up previously for Lamb. One thing this also allows us to do is take a look back at prospects entering the draft and it\u2019s easy to forget how strong of a prospect a player like Woods was. He was a second-round, early-declare prospect with a 252-2930-32 line receiving over 38 games at USC while also tacking on 142 rushing yards and 1,364 kick return yards. It took a while for his career to get going and he may not be an ultimately sexy fantasy player, but Woods had a strong profile entering the league that was only dinged by a softer athletic profile.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As with Lamb, we only get one fellow first-rounder here and it comes from <\/span><b>Will Fuller<\/b><span style=\"font-weight: 400;\">. 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data-jtrt-table-id='18890' id='jtrt_table_bps_18890' cols='30' rows='10'>[]<\/textarea><\/div><table id='jtrt_table_18890' data-sorting='false' data-paging='false' data-paging-size='10' data-paging-menu='10,20,50,100' data-filtering='false' data-jtrt-table-id='18890' class='jtrt-table  ' ><thead><tr><th>Player<\/th><th>School<\/th><th>Year<\/th><th>RY Age<\/th><th>BO Age<\/th><th>Ht<\/th><th>Wt<\/th><th>Physical<\/th><th>FY Prod.<\/th><th>CarProd.<\/th><th>Draft<\/th><\/tr><\/thead><tbody><tr><td>Justin Jefferson<\/td><td>LSU<\/td><td>2020<\/td><td>21.6<\/td><td>19.6<\/td><td>73<\/td><td>202<\/td><td>61.30%<\/td><td>91.40%<\/td><td>84.90%<\/td><td>TBD<\/td><\/tr><tr><td>Justin Blackmon<\/td><td>Oklahoma State<\/td><td>2012<\/td><td>22.6<\/td><td>20.7<\/td><td>73<\/td><td>207<\/td><td>58.50%<\/td><td>97.90%<\/td><td>98.70%<\/td><td>5<\/td><\/tr><tr><td>Corey Coleman<\/td><td>Baylor<\/td><td>2016<\/td><td>22.5<\/td><td>20.2<\/td><td>71<\/td><td>194<\/td><td>62.70%<\/td><td>96.60%<\/td><td>91.20%<\/td><td>15<\/td><\/tr><tr><td>Nelson Agholor<\/td><td>USC<\/td><td>2015<\/td><td>22.6<\/td><td>20.3<\/td><td>72<\/td><td>198<\/td><td>59.90%<\/td><td>87.90%<\/td><td>69.50%<\/td><td>20<\/td><\/tr><tr><td>Chris Godwin<\/td><td>Penn State<\/td><td>2017<\/td><td>21.8<\/td><td>19.5<\/td><td>73<\/td><td>209<\/td><td>88.20%<\/td><td>86.70%<\/td><td>79.40%<\/td><td>84<\/td><\/tr><tr><td>Kenny Stills<\/td><td>Oklahoma<\/td><td>2013<\/td><td>21.4<\/td><td>19.4<\/td><td>73<\/td><td>194<\/td><td>54.90%<\/td><td>84.70%<\/td><td>78.90%<\/td><td>144<\/td><\/tr><\/tbody><\/table><\/div><\/div>\n<p><span style=\"font-weight: 400;\">Jefferson had such gaudy final season numbers playing in the most collegiate offense that he gets a bump in terms of comparable prospects. He also surprised some by being a stronger measurable athlete than both Lamb and Jeudy at the combine in Indianapolis.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Jefferson has three first-round receivers making the top-three comps. All three averaged over 100 yards receiving per game and over 2.5 yards per team target in their final seasons entering the league.\u00a0 Unfortunately, these three have combined for just one WR2 or better season in points per game at the next level. We sadly only got to see<\/span><b> Justin Blackmon<\/b><span style=\"font-weight: 400;\"> appear in 20 NFL games before off-field transgressions sunk his career, but he is the top objective mark here for Jefferson.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">We also get a lot of \u201cbig slot\u201d types here, which is where Jefferson is projected to be at his best at the next level and once again overlap with previously discussed players as both Agholor and Stills find their way into the picture.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Agholor (and Coleman) are good examples of how we treat the perception of players in the NFL versus their perception as prospects since we have so much influence from hindsight. Do we count them as misses from a league-value stance or a player stance? Unfortunately, there\u2019s a lot of variables that go into the end result of a player\u2019s career, and many are beyond predictability. From an on paper stance, both had the appearance of productive players at the next level with above baseline athleticism.\u00a0<\/span><\/p>\n<h2>Henry Ruggs, Alabama<\/h2>\n<div class='jtrt_table_MotherShipContainer'><div class='jtTableContainer jtrespo-scroll  ' ><div class='jtsettingcontainer' style='display:none;position:absolute;left:-9999px;'><textarea data-jtrt-table-id='18892' id='jtrt_table_settings_18892' cols='30' rows='10'>[[[\"Player\",\"School\",\"Year\",\"Early\",\"RY Age\",\"BO Age\",\"Height\",\"Weight\",\"Physical\",\"FY Prod.\",\"CarProd.\"],[\"Henry Ruggs\",\"Alabama\",\"2020\",\"Y\",\"22\",\"n\\\/a\",\"71\",\"188\",\"77.90%\",\"19.50%\",\"42.40%\"],[\"Mecole Hardman\",\"Georgia\",\"2019\",\"Y\",\"21.8\",\"n\\\/a\",\"70\",\"187\",\"46.30%\",\"15.70%\",\"7.10%\"],[\"Marquise Goodwin\",\"Texas\",\"2013\",\"N\",\"22.8\",\"n\\\/a\",\"69\",\"183\",\"56.10%\",\"2.70%\",\"5.40%\"],[\"Kolby 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data-jtrt-table-id='18892' id='jtrt_table_bps_18892' cols='30' rows='10'>[]<\/textarea><\/div><table id='jtrt_table_18892' data-sorting='false' data-paging='false' data-paging-size='10' data-paging-menu='10,20,50,100' data-filtering='false' data-jtrt-table-id='18892' class='jtrt-table  ' ><thead><tr><th>Player<\/th><th>School<\/th><th>Year<\/th><th>Early<\/th><th>RY Age<\/th><th>BO Age<\/th><th>Height<\/th><th>Weight<\/th><th>Physical<\/th><th>FY Prod.<\/th><th>CarProd.<\/th><\/tr><\/thead><tbody><tr><td>Henry Ruggs<\/td><td>Alabama<\/td><td>2020<\/td><td>Y<\/td><td>22<\/td><td>n\/a<\/td><td>71<\/td><td>188<\/td><td>77.90%<\/td><td>19.50%<\/td><td>42.40%<\/td><\/tr><tr><td>Mecole Hardman<\/td><td>Georgia<\/td><td>2019<\/td><td>Y<\/td><td>21.8<\/td><td>n\/a<\/td><td>70<\/td><td>187<\/td><td>46.30%<\/td><td>15.70%<\/td><td>7.10%<\/td><\/tr><tr><td>Marquise Goodwin<\/td><td>Texas<\/td><td>2013<\/td><td>N<\/td><td>22.8<\/td><td>n\/a<\/td><td>69<\/td><td>183<\/td><td>56.10%<\/td><td>2.70%<\/td><td>5.40%<\/td><\/tr><tr><td>Kolby Listenbee<\/td><td>TCU<\/td><td>2016<\/td><td>N<\/td><td>22.9<\/td><td>n\/a<\/td><td>72<\/td><td>197<\/td><td>73.30%<\/td><td>14.60%<\/td><td>12.20%<\/td><\/tr><tr><td>Devin Smith<\/td><td>Ohio State<\/td><td>2015<\/td><td>N<\/td><td>23.8<\/td><td>20.5<\/td><td>72<\/td><td>196<\/td><td>61.10%<\/td><td>35.30%<\/td><td>37.50%<\/td><\/tr><tr><td>John Ross<\/td><td>Washington<\/td><td>2017<\/td><td>Y<\/td><td>23.1<\/td><td>18.8<\/td><td>70<\/td><td>188<\/td><td>83.50%<\/td><td>76.20%<\/td><td>41.00%<\/td><\/tr><\/tbody><\/table><\/div><\/div>\n<p><span style=\"font-weight: 400;\">Here we immediately see what makes Ruggs such a polarizing prospect among both NFL evaluators and in dynasty circles.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I even had to break a rule just to get five players on the board here since Ruggs has such a unique blend of strong physical profile for an overall \u201cundersized\u201d wide receiver but has lacking overall production and was still valued by the league to enter the NFL early. I had to open up the field to some non-early declare prospects to get a full list, but not even one player here has yet to have a WR3 or better season in points per game.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That leaves us with a lot of variance here in each category and the individual categories are not nearly as tight as other prospects. What makes Ruggs different than a lot of burners is that he just doesn\u2019t have an empty physical supported by being fast. He also has a 96th percentile explosion score (vertical plus broad jump), which players such as Hardman, Smith, and Listenbee didn\u2019t have.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But you can clearly where the NFL values measurable speed as only Listenbee was selected outside of the third round despite the overall production profiles from this group. Three of the players on the comp list didn\u2019t even have a breakout age in college at all, as is the case with Ruggs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The one clear exception from a production stance is <\/span><b>John Ross<\/b><span style=\"font-weight: 400;\">, who has a spike in final season output, but actually lags behind Ruggs in career output while being a near copy of his physically.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">An Alabama player has been at the front lines of discord between analysts in each of the past two seasons in <\/span><b>Calvin Ridley<\/b><span style=\"font-weight: 400;\"> and <\/span><b>Josh Jacobs<\/b><span style=\"font-weight: 400;\">, with the player side coming out on top. It may be that program is just never going to provide the type of overall production we objectively desire since there\u2019s so much talent and opportunity has been spread around between backs and wideouts the past two seasons.<\/span><\/p>\n<h2>Tee Higgins, Clemson<\/h2>\n<div class='jtrt_table_MotherShipContainer'><div class='jtTableContainer jtrespo-scroll  ' ><div class='jtsettingcontainer' style='display:none;position:absolute;left:-9999px;'><textarea data-jtrt-table-id='18894' id='jtrt_table_settings_18894' cols='30' rows='10'>[[[\"Player\",\"School\",\"Year\",\"RY Age\",\"BO Age\",\"Ht\",\"Wt\",\"Physical\",\"FY Prod.\",\"CarProd.\",\"Draft\"],[\"Tee Higgins\",\"Clemson\",\"2020\",\"22\",\"18.6\",\"76\",\"216\",\"37.40%\",\"53.80%\",\"60.10%\",\"TBD\"],[\"Rueben Randle\",\"LSU\",\"2012\",\"21.3\",\"19.3\",\"75\",\"210\",\"36.70%\",\"62.50%\",\"31.90%\",\"63\"],[\"Mike 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data-jtrt-table-id='18894' id='jtrt_table_bps_18894' cols='30' rows='10'>[]<\/textarea><\/div><table id='jtrt_table_18894' data-sorting='false' data-paging='false' data-paging-size='10' data-paging-menu='10,20,50,100' data-filtering='false' data-jtrt-table-id='18894' class='jtrt-table  ' ><thead><tr><th>Player<\/th><th>School<\/th><th>Year<\/th><th>RY Age<\/th><th>BO Age<\/th><th>Ht<\/th><th>Wt<\/th><th>Physical<\/th><th>FY Prod.<\/th><th>CarProd.<\/th><th>Draft<\/th><\/tr><\/thead><tbody><tr><td>Tee Higgins<\/td><td>Clemson<\/td><td>2020<\/td><td>22<\/td><td>18.6<\/td><td>76<\/td><td>216<\/td><td>37.40%<\/td><td>53.80%<\/td><td>60.10%<\/td><td>TBD<\/td><\/tr><tr><td>Rueben Randle<\/td><td>LSU<\/td><td>2012<\/td><td>21.3<\/td><td>19.3<\/td><td>75<\/td><td>210<\/td><td>36.70%<\/td><td>62.50%<\/td><td>31.90%<\/td><td>63<\/td><\/tr><tr><td>Mike Williams<\/td><td>Clemson<\/td><td>2017<\/td><td>23.2<\/td><td>19.9<\/td><td>75<\/td><td>218<\/td><td>66.70%<\/td><td>55.00%<\/td><td>62.50%<\/td><td>7<\/td><\/tr><tr><td>Michael Thomas<\/td><td>Ohio State<\/td><td>2016<\/td><td>23.8<\/td><td>21.5<\/td><td>75<\/td><td>212<\/td><td>79.10%<\/td><td>52.20%<\/td><td>33.20%<\/td><td>47<\/td><\/tr><tr><td>Mohamed Sanu<\/td><td>Rutgers<\/td><td>2012<\/td><td>23<\/td><td>20<\/td><td>74<\/td><td>211<\/td><td>57.80%<\/td><td>77.20%<\/td><td>60.80%<\/td><td>83<\/td><\/tr><tr><td>Josh Malone<\/td><td>Tennessee<\/td><td>2017<\/td><td>21.8<\/td><td>20.5<\/td><td>75<\/td><td>208<\/td><td>68.00%<\/td><td>66.60%<\/td><td>33.00%<\/td><td>128<\/td><\/tr><\/tbody><\/table><\/div><\/div>\n<p><span style=\"font-weight: 400;\">Higgins was able to have a Pro Day prior to our current social climate, which allows us to get a better overall outlook. Unfortunately, he may have been better off without it. While his 4.54 40-yard dash is 59th percentile for his size, he also registered a 32nd percentile explosion score and 31st percentile agility score adjusted for size.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That gives us a blast from the past as his lead comp in <\/span><b>Rueben Randle<\/b><span style=\"font-weight: 400;\">, but from just a production profile, he has an almost identical overlap to the man he replaced in the Clemson offense, <\/span><b>Mike Williams<\/b><span style=\"font-weight: 400;\">. It\u2019s hard not to draw a comparison to the two even from a subjective stance since they profile to be used similarly at the next level as vertical and red zone mavens over wideouts that are going to win by creating consistent separation.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The NFL values size and production and all of these players here were early declare options. The only player that made a questionable decision based on invested draft capital at the end of the day was <\/span><b>Josh Malone<\/b><span style=\"font-weight: 400;\">, but his initial grade at the start of the process from the league may have been higher. We don\u2019t know, but he was the only player here selected outside of the third round.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>When watching and analyzing prospects entering the NFL, it\u2019s not  [&#8230;]<\/p>\n","protected":false},"author":19,"featured_media":18896,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"none","_seopress_titles_title":"","_seopress_titles_desc":"Statistical fantasy football player comps for the top 5 wide receivers in the 2020 NFL 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