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		<title>Are 40-Yard Dash Times Correlated With Success For Wide Receivers? Part II</title>
		<link>http://www.footballperspective.com/are-40-yard-dash-times-correlated-with-success-for-wide-receivers-part-ii/</link>
					<comments>http://www.footballperspective.com/are-40-yard-dash-times-correlated-with-success-for-wide-receivers-part-ii/#respond</comments>
		
		<dc:creator><![CDATA[Chase Stuart]]></dc:creator>
		<pubDate>Tue, 23 Mar 2021 14:48:12 +0000</pubDate>
				<category><![CDATA[Draft]]></category>
		<category><![CDATA[Combine]]></category>
		<guid isPermaLink="false">http://www.footballperspective.com/?p=48625</guid>

					<description><![CDATA[In Part I, we learned that there is a correlation between 40-yard dash times and wide receiver success in the NFL. Today, I want to look at a third variable: NFL Draft status. My sample once again comprises the 853 wide receivers who ran the 40-yard dash at the NFL combine from 2000 to 2017. [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In <a href="http://www.footballperspective.com/are-40-yard-dash-times-correlated-with-success-for-wide-receivers/" target="_blank" rel="noopener">Part I</a>, we learned that there is a correlation between 40-yard dash times and wide receiver success in the NFL. Today, I want to look at a third variable: NFL Draft status.</p>
<p>My sample once again comprises the 853 wide receivers who ran the 40-yard dash at the NFL combine from 2000 to 2017. All data is publicly available from PFR, via <a href="https://stathead.com/football/nfl-combine-results.cgi?request=1&amp;order_by_asc=0&amp;order_by=year_id&amp;year_min=2000&amp;year_max=2017&amp;height_min=65&amp;height_max=82&amp;weight_min=140&amp;weight_max=400&amp;positions%5B%5D=wr&amp;show=all&amp;ccomp%5B1%5D=gt&amp;cval%5B1%5D=4&amp;cstat%5B1%5D=forty_yd&amp;ccomp%5B2%5D=lt&amp;cval%5B2%5D=6&amp;cstat%5B2%5D=forty_yd" target="_blank" rel="noopener">Stathead Football</a>.  If you think there was a strong correlation between 40-yard dash time and NFL production, wait until you see the correlation between 40-yard dash time and draft status.</p>
<p>In the table below, the average draft value represents the <a href="http://www.footballperspective.com/draft-value-chart/" target="_blank" rel="noopener">FP draft value associated with each pick</a>.  A higher number means more draft value &#8212; i.e., an earlier pick &#8212; was used to select those players.<span id="more-48625"></span></p>
<p><a href="http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation.png"><img fetchpriority="high" decoding="async" class="aligncenter size-large wp-image-48627" src="http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-986x1024.png" alt="" width="986" height="1024" srcset="http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-986x1024.png 986w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-289x300.png 289w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-768x798.png 768w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-1478x1536.png 1478w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-1971x2048.png 1971w" sizes="(max-width: 986px) 100vw, 986px" /></a>As a reference point, the 32nd pick is worth 12.5 points of draft value, while the 100th pick is worth 5.3 points; you can see all pick values <a href="http://www.footballperspective.com/draft-value-chart/" rel="noopener" target="_blank">here</a>.  Remember that this sample includes every wide receiver &#8212; many of them not elite prospects &#8212; at the combine.  Despite that, players who run the 40 in under 4.34 seconds tend to be drafted <em>very</em> highly.  There were <a href="https://stathead.com/football/nfl-combine-results.cgi?request=1&amp;order_by_asc=0&amp;order_by=year_id&amp;year_min=2000&amp;year_max=2017&amp;height_min=65&amp;height_max=82&amp;weight_min=140&amp;weight_max=400&amp;positions%5B%5D=wr&amp;show=all&amp;ccomp%5B1%5D=gt&amp;cval%5B1%5D=4&amp;cstat%5B1%5D=forty_yd&amp;ccomp%5B2%5D=lt&amp;cval%5B2%5D=4.33&amp;cstat%5B2%5D=forty_yd" target="_blank" rel="noopener">29 wide receivers from &#8217;00 to &#8217;17 who ran the 40</a> at such a fast mark and 8 were first round picks and 5 more were second round picks. Only three of these sprinters &#8212; <a href="https://www.pro-football-reference.com/players/N/NelsJJ00.htm" rel="noopener" target="_blank">JJ Nelson</a>, <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/U/UndeTi00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Tiquan Underwood</a>, and <a href="https://www.sports-reference.com/cfb/players/aaron-lockett-1.html" rel="noopener" target="_blank">Aaron Lockett</a> &#8212; were drafted after the fourth round.  This trend has held up from &#8217;18 to &#8217;20, with <a href="https://stathead.com/football/nfl-combine-results.cgi?request=1&#038;order_by_asc=0&#038;order_by=year_id&#038;year_min=2018&#038;year_max=2020&#038;height_min=65&#038;height_max=82&#038;weight_min=140&#038;weight_max=400&#038;positions%5B%5D=wr&#038;show=all&#038;ccomp%5B1%5D=gt&#038;cval%5B1%5D=4&#038;cstat%5B1%5D=forty_yd&#038;ccomp%5B2%5D=lt&#038;cval%5B2%5D=4.33&#038;cstat%5B2%5D=forty_yd" rel="noopener" target="_blank">all five players</a> who ran the 40 in under 4.34 seconds going in the first two rounds, including Raiders wide receiver <a href="https://www.pro-football-reference.com/players/R/RuggHe00.htm" rel="noopener" target="_blank">Henry Ruggs III</a> going in the first round.</p>
<p>Let’s once again graph wide receiver production by measuring 40-yard dash time on the X-Axis and draft status (using the FP Draft Value Chart) on the Y-Axis. But this time, let’s group them in these ranges and use a bubble chart where larger bubbles represent larger sample sizes. For ease of reference, I am using the mid-point of each range, so a player who runs in the 4.52 to 4.54 range will get plotted at 4.53 seconds on the X-Axis. As you can see, there is a  strong correlation between 40-yard dash times and draft status, with a few players at the highest speed range really looking like outliers:</p>
<a href="http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-bubble.png"><img decoding="async" src="http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-bubble-1024x539.png" alt="" width="1024" height="539" class="aligncenter size-large wp-image-48629" srcset="http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-bubble-1024x539.png 1024w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-bubble-300x158.png 300w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-bubble-768x404.png 768w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-bubble-1536x809.png 1536w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-draft-correlation-bubble-2048x1078.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /></a>
<p>Yes, <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/S/StalDo00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Donte&#8217; Stallworth</a> and <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/R/RossJo00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">John Ross</a> are impacting thigns quite a bit: they were both top-15 draft picks and the only wide receivers to run the 40 in under 4.25 seconds.  Meanwhile, <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/C/ClayMi00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Michael Clayton</a> was the only one of the 67 wide receivers to run the 40 at 4.65 or slower to go in the first round.</p>
<p>Let&#8217;s summarize.  We know three things: <span class="footnote_referrer"><a role="button" tabindex="0" onclick="footnote_moveToReference_48625_2('footnote_plugin_reference_48625_2_1');" onkeypress="footnote_moveToReference_48625_2('footnote_plugin_reference_48625_2_1');" ><sup id="footnote_plugin_tooltip_48625_2_1" class="footnote_plugin_tooltip_text">[1]</sup></a><span id="footnote_plugin_tooltip_text_48625_2_1" class="footnote_tooltip">Well, the third bullet point wasn&#8217;t proven in this series, but we know this to be true and it has been proven in other articles.</span></span><script type="text/javascript"> jQuery('#footnote_plugin_tooltip_48625_2_1').tooltip({ tip: '#footnote_plugin_tooltip_text_48625_2_1', tipClass: 'footnote_tooltip', effect: 'fade', predelay: 0, fadeInSpeed: 200, delay: 400, fadeOutSpeed: 200, position: 'top center', relative: true, offset: [-7, 0], });</script></p>
<ul>
<li>40-yard dash times and correlated with being productive in the NFL</li>
<li>40-yard dash times are also  correlated with being drafted earlier in the NFL</li>
<li>Players drafted earlier are more productive in the NFL</li>
</ul>
<p>Given those three facts, it&#8217;s worthwhile to ask the question: if we know a player&#8217;s draft status, does knowing his 40-time help us know if he is going to be productive in the NFL?  If we have a player who ran the 40 in 4.38 seconds get drafted 30th overall, should we expect him to do better or worse than a player who ran the 40 in 4.58 seconds and was drafted 20th overall?  In other words, is one of these variables more important than the other?</p>
<p>If you believe the draft is perfectly efficient, then the answer is no: his 40-yard time was incorporated into his evaluation, and so we should expect the higher drafted player to do (slightly) better.</p>
<p>If you believe that 40 times are overrated by the NFL, you would think that a player who ran the 40 in 4.38 seconds and was drafted with the 30th pick should do WORSE than a player who ran the 40 in 4.58 seconds and was drafted say, at 40th overall.  That&#8217;s because you think NFL decisionmakers overstate the importance of the 40, and the guy who ran the 40 in 4.58 seconds and still was drafted at 40th is the better receiver than the guy who &#8220;shot up the board&#8221; and was overdrafted at 30 after a great combine.</p>
<p>Finally, if you believe that 40 times are underrated by the NFL &#8212; not a widely-held view, but still reasonable to presume &#8212; then you would think that 40 times are still correlated with success in the NFL even after you account for draft position.</p>
<p>So before we go on, what do you think?</p>
<div class="speaker-mute footnotes_reference_container"> <div class="footnote_container_prepare"><p><span role="button" tabindex="0" class="footnote_reference_container_label pointer" onclick="footnote_expand_collapse_reference_container_48625_2();">References</span><span role="button" tabindex="0" class="footnote_reference_container_collapse_button" style="display: none;" onclick="footnote_expand_collapse_reference_container_48625_2();">[<a id="footnote_reference_container_collapse_button_48625_2">+</a>]</span></p></div> <div id="footnote_references_container_48625_2" style=""><table class="footnotes_table footnote-reference-container"><caption class="accessibility">References</caption> <tbody> 

<tr class="footnotes_plugin_reference_row"> <th scope="row" class="footnote_plugin_index_combi pointer"  onclick="footnote_moveToAnchor_48625_2('footnote_plugin_tooltip_48625_2_1');"><a id="footnote_plugin_reference_48625_2_1" class="footnote_backlink"><span class="footnote_index_arrow">&#8593;</span>1</a></th> <td class="footnote_plugin_text">Well, the third bullet point wasn&#8217;t proven in this series, but we know this to be true and it has been proven in other articles.</td></tr>

 </tbody> </table> </div></div><script type="text/javascript"> function footnote_expand_reference_container_48625_2() { jQuery('#footnote_references_container_48625_2').show(); jQuery('#footnote_reference_container_collapse_button_48625_2').text('−'); } function footnote_collapse_reference_container_48625_2() { jQuery('#footnote_references_container_48625_2').hide(); jQuery('#footnote_reference_container_collapse_button_48625_2').text('+'); } function footnote_expand_collapse_reference_container_48625_2() { if (jQuery('#footnote_references_container_48625_2').is(':hidden')) { footnote_expand_reference_container_48625_2(); } else { footnote_collapse_reference_container_48625_2(); } } function footnote_moveToReference_48625_2(p_str_TargetID) { footnote_expand_reference_container_48625_2(); var l_obj_Target = jQuery('#' + p_str_TargetID); if (l_obj_Target.length) { jQuery( 'html, body' ).delay( 0 ); jQuery('html, body').animate({ scrollTop: l_obj_Target.offset().top - window.innerHeight * 0.2 }, 380); } } function footnote_moveToAnchor_48625_2(p_str_TargetID) { footnote_expand_reference_container_48625_2(); var l_obj_Target = jQuery('#' + p_str_TargetID); if (l_obj_Target.length) { jQuery( 'html, body' ).delay( 0 ); jQuery('html, body').animate({ scrollTop: l_obj_Target.offset().top - window.innerHeight * 0.2 }, 380); } }</script>]]></content:encoded>
					
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		<title>Are 40-Yard Dash Times Correlated With Success For Wide Receivers?</title>
		<link>http://www.footballperspective.com/are-40-yard-dash-times-correlated-with-success-for-wide-receivers/</link>
					<comments>http://www.footballperspective.com/are-40-yard-dash-times-correlated-with-success-for-wide-receivers/#comments</comments>
		
		<dc:creator><![CDATA[Chase Stuart]]></dc:creator>
		<pubDate>Thu, 11 Mar 2021 15:13:14 +0000</pubDate>
				<category><![CDATA[Draft]]></category>
		<category><![CDATA[Receiving]]></category>
		<category><![CDATA[Combine]]></category>
		<guid isPermaLink="false">http://www.footballperspective.com/?p=48540</guid>

					<description><![CDATA[Over at FiveThirtyEight, Josh Hermsmeyer recently wrote about wide receivers and 40-yard dash times. Using yards per route run as his measure of productivity, Josh concluded &#8220;that higher speed isn’t associated with higher on-field production.&#8221; Today I want to take a deep dive into the question of how much 40-yard dash times are correlated with [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Over at <a href="https://fivethirtyeight.com/features/faster-nfl-prospects-arent-always-better/" target="_blank" rel="noopener">FiveThirtyEight</a>, Josh Hermsmeyer recently wrote about wide receivers and 40-yard dash times. Using yards per route run as his measure of productivity, Josh concluded &#8220;that higher speed isn’t associated with higher on-field production.&#8221; Today I want to take a deep dive into the question of how much 40-yard dash times are correlated with wide receiver success. For a very long time, people have argued that 40-yard dash times are overrated (actually, for a very long time, people have argued that just about everything is overrated). But such a comment is paper thin, because it&#8217;s unclear exactly how &#8220;rated&#8221; 40-yard dash times are, anyway. So let&#8217;s skip the overrated/underrated analysis and dive into the data.</p>
<p>My sample comprises the 853 wide receivers who ran the 40-yard dash at the NFL combine from 2000 to 2017. <span class="footnote_referrer"><a role="button" tabindex="0" onclick="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_1');" onkeypress="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_1');" ><sup id="footnote_plugin_tooltip_48540_4_1" class="footnote_plugin_tooltip_text">[1]</sup></a><span id="footnote_plugin_tooltip_text_48540_4_1" class="footnote_tooltip">Why those years? PFR&#8217;s data only goes back to 2000, and players who participated at the combine more recently than 2017 have not yet accrued four NFL seasons.</span></span><script type="text/javascript"> jQuery('#footnote_plugin_tooltip_48540_4_1').tooltip({ tip: '#footnote_plugin_tooltip_text_48540_4_1', tipClass: 'footnote_tooltip', effect: 'fade', predelay: 0, fadeInSpeed: 200, delay: 400, fadeOutSpeed: 200, position: 'top center', relative: true, offset: [-7, 0], });</script> All data is publicly available from PFR, via <a href="https://stathead.com/football/nfl-combine-results.cgi?request=1&amp;order_by_asc=0&amp;order_by=year_id&amp;year_min=2000&amp;year_max=2017&amp;height_min=65&amp;height_max=82&amp;weight_min=140&amp;weight_max=400&amp;positions%5B%5D=wr&amp;show=all&amp;ccomp%5B1%5D=gt&amp;cval%5B1%5D=4&amp;cstat%5B1%5D=forty_yd&amp;ccomp%5B2%5D=lt&amp;cval%5B2%5D=6&amp;cstat%5B2%5D=forty_yd" target="_blank" rel="noopener">Stathead Football</a>. I then looked at how many receiving yards those players gained in their first four seasons in the NFL. <span class="footnote_referrer"><a role="button" tabindex="0" onclick="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_2');" onkeypress="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_2');" ><sup id="footnote_plugin_tooltip_48540_4_2" class="footnote_plugin_tooltip_text">[2]</sup></a><span id="footnote_plugin_tooltip_text_48540_4_2" class="footnote_tooltip">Chosen because this represents the average length of a rookie contract.</span></span><script type="text/javascript"> jQuery('#footnote_plugin_tooltip_48540_4_2').tooltip({ tip: '#footnote_plugin_tooltip_text_48540_4_2', tipClass: 'footnote_tooltip', effect: 'fade', predelay: 0, fadeInSpeed: 200, delay: 400, fadeOutSpeed: 200, position: 'top center', relative: true, offset: [-7, 0], });</script> The question of what metric to use to measure production is a complicated one: receiving yards is not perfect (and I will revisit this decision at the end of the article), but it should work well enough for these purposes.</p>
<p>On average, these 853 players ran the 40-yard dash in 4.51 seconds and gained a total of 678 receiving yards in their first four seasons; this includes the 360 of them who never gained a receiving yard in the NFL. The top three wide receivers by receiving yards over this period <span class="footnote_referrer"><a role="button" tabindex="0" onclick="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_3');" onkeypress="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_3');" ><sup id="footnote_plugin_tooltip_48540_4_3" class="footnote_plugin_tooltip_text">[3]</sup></a><span id="footnote_plugin_tooltip_text_48540_4_3" class="footnote_tooltip">This analysis, of course, excludes players who were not invited to the combine like Tyreek Hill and Josh Gordon, undrafted players like Victor Cruz, Robby Anderson, and Doug Baldwin, and players who&nbsp;&#x2026; <span class="footnote_tooltip_continue"  onclick="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_3');">Continue reading</span></span></span><script type="text/javascript"> jQuery('#footnote_plugin_tooltip_48540_4_3').tooltip({ tip: '#footnote_plugin_tooltip_text_48540_4_3', tipClass: 'footnote_tooltip', effect: 'fade', predelay: 0, fadeInSpeed: 200, delay: 400, fadeOutSpeed: 200, position: 'top center', relative: true, offset: [-7, 0], });</script> were <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/T/ThomMi05.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Michael Thomas</a>, <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/G/GreeA.00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">A.J. Green</a>, and <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/B/BoldAn00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Anquan Boldin</a>, who ran the 40-yard dash in 4.57, 4.48, and 4.72 seconds, respectively. Strike one for 40-yard dash times mattering. The fastest two players were <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/R/RossJo00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">John Ross</a> and <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/S/StalDo00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Donte&#8217; Stallworth</a>, who both ran the 40 in 4.22 seconds. <span class="footnote_referrer"><a role="button" tabindex="0" onclick="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_4');" onkeypress="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_4');" ><sup id="footnote_plugin_tooltip_48540_4_4" class="footnote_plugin_tooltip_text">[4]</sup></a><span id="footnote_plugin_tooltip_text_48540_4_4" class="footnote_tooltip">That might sound like strike two, but Stallworth was tied for the 61st most receiving yards out of this group if 853 receivers.  It&#8217;s a strike for 40-yard dash time being the only thing that&nbsp;&#x2026; <span class="footnote_tooltip_continue"  onclick="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_4');">Continue reading</span></span></span><script type="text/javascript"> jQuery('#footnote_plugin_tooltip_48540_4_4').tooltip({ tip: '#footnote_plugin_tooltip_text_48540_4_4', tipClass: 'footnote_tooltip', effect: 'fade', predelay: 0, fadeInSpeed: 200, delay: 400, fadeOutSpeed: 200, position: 'top center', relative: true, offset: [-7, 0], });</script></p>
<p>But anecdotes can only take us so far when we have 853 players, from Ross and Stallworth on the far left, to Thomas up at the top, all the way to Mississippi State&#8217;s <a href="https://www.sports-reference.com/cfb/players/derunnya-wilson-1.html" target="_blank" rel="noopener">De&#8217;Runnya Wilson</a>, who never played in the NFL and ran the 40 in 4.85 seconds.<span id="more-48540"></span></p>
<a href="http://www.footballperspective.com/wp-content/uploads/2021/03/nfl-40-wr-rec-.png"><img decoding="async" class="aligncenter size-large wp-image-48545" src="http://www.footballperspective.com/wp-content/uploads/2021/03/nfl-40-wr-rec--1024x574.png" alt="" width="1024" height="574" srcset="http://www.footballperspective.com/wp-content/uploads/2021/03/nfl-40-wr-rec--1024x574.png 1024w, http://www.footballperspective.com/wp-content/uploads/2021/03/nfl-40-wr-rec--300x168.png 300w, http://www.footballperspective.com/wp-content/uploads/2021/03/nfl-40-wr-rec--768x431.png 768w, http://www.footballperspective.com/wp-content/uploads/2021/03/nfl-40-wr-rec--1536x861.png 1536w, http://www.footballperspective.com/wp-content/uploads/2021/03/nfl-40-wr-rec--2048x1148.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /></a>
<p>A quick glance at this chart seems to support the idea that the 40-yard dash is not correlated with receiving production. But this way of presenting the data can be a bit tricky for the eye to see because the players are not evenly distributed across the spectrum of 40-yard dash times.  It&#8217;s also easy to kind of lump the players in the bottom half of the graph all together, which is probably not the right way to think about this. <span class="footnote_referrer"><a role="button" tabindex="0" onclick="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_5');" onkeypress="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_5');" ><sup id="footnote_plugin_tooltip_48540_4_5" class="footnote_plugin_tooltip_text">[5]</sup></a><span id="footnote_plugin_tooltip_text_48540_4_5" class="footnote_tooltip">Although if you want to argue we should only focus on the best players, well, I&#8217;d be open to listening.</span></span><script type="text/javascript"> jQuery('#footnote_plugin_tooltip_48540_4_5').tooltip({ tip: '#footnote_plugin_tooltip_text_48540_4_5', tipClass: 'footnote_tooltip', effect: 'fade', predelay: 0, fadeInSpeed: 200, delay: 400, fadeOutSpeed: 200, position: 'top center', relative: true, offset: [-7, 0], });</script>  So let&#8217;s break down the 40 times into small groups: from 4.22 to 4.24, 4.25 to 4.27, 4.28 to 4.30, and so on. Once we do that, the results are pretty striking.</p>
<a href="http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-range-rec-2000-2017.png"><img loading="lazy" decoding="async" class="aligncenter size-large wp-image-48551" src="http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-range-rec-2000-2017-986x1024.png" alt="" width="986" height="1024" srcset="http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-range-rec-2000-2017-986x1024.png 986w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-range-rec-2000-2017-289x300.png 289w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-range-rec-2000-2017-768x798.png 768w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-range-rec-2000-2017-1478x1536.png 1478w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-range-rec-2000-2017-1971x2048.png 1971w" sizes="auto, (max-width: 986px) 100vw, 986px" /></a>
<p>Let&#8217;s once again graph wide receiver production by measuring 40-yard dash time on the X-Axis and receiving yards through 4 seasons on the Y-Axis.  But this time, let&#8217;s group them in these ranges and use a bubble chart where larger bubbles represent larger sample sizes.  For ease of reference, I am using the mid-point of each range, so a player who runs in the 4.52 to 4.54 range will get plotted at 4.53 seconds on the X-Axis.  As you can see, there does appear to be a pretty strong correlation between 40-yard dash times and wide receiving production, particularly once you focus on the 94% of receivers in the 4.32 to 4.68 range. <span class="footnote_referrer"><a role="button" tabindex="0" onclick="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_6');" onkeypress="footnote_moveToReference_48540_4('footnote_plugin_reference_48540_4_6');" ><sup id="footnote_plugin_tooltip_48540_4_6" class="footnote_plugin_tooltip_text">[6]</sup></a><span id="footnote_plugin_tooltip_text_48540_4_6" class="footnote_tooltip">Which really means the 4.31 to 4.69 range, of course.</span></span><script type="text/javascript"> jQuery('#footnote_plugin_tooltip_48540_4_6').tooltip({ tip: '#footnote_plugin_tooltip_text_48540_4_6', tipClass: 'footnote_tooltip', effect: 'fade', predelay: 0, fadeInSpeed: 200, delay: 400, fadeOutSpeed: 200, position: 'top center', relative: true, offset: [-7, 0], });</script></p>
<a href="http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-wr-2000-2017.png"><img loading="lazy" decoding="async" class="aligncenter size-large wp-image-48550" src="http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-wr-2000-2017-1024x552.png" alt="" width="1024" height="552" srcset="http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-wr-2000-2017-1024x552.png 1024w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-wr-2000-2017-300x162.png 300w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-wr-2000-2017-768x414.png 768w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-wr-2000-2017-1536x828.png 1536w, http://www.footballperspective.com/wp-content/uploads/2021/03/40-yard-wr-2000-2017-2048x1104.png 2048w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a>
<p>While there is lots of noise in the data, the correlation here is probably stronger than you would expect.  Does the 40-yard dash time matter much for an individual player? Probably not.  But if you had 20 wide receivers who ran the 40 in 4.40 seconds, if you knew nothing else, you&#8217;d probably expect them to fare better than 20 wide receivers who ran the 40 in 4.50 seconds.</p>
<p>Let&#8217;s get back to a question from the beginning of this article: is receiving yards a useful way to measure production?  We are ignoring receptions, first downs, receiving touchdowns, blocking ability, and everything else a wide receiver can do, although given the large sample size, you would hope that any major differences between those statistics and receiving yards would balance out.  Wide receivers who play with great quarterbacks will be at an advantage, but again, we can rely on the large sample size to aid us here (and continue to measure this in the future as our sample size grows).  The two questions that I think worth asking are:</p>
<ul>
<li>Is this biased in favor of players who aren&#8217;t very good but still see the field because they were higher draft picks or better prospects (in part because of their higher 40 time)?</li>
<li>Would a measure of efficiency (like yards per route run) be better?</li>
</ul>
<p>For question 1, I think the answer is undoubtedly yes.  There probably isn&#8217;t a meaningful difference in talent between a 2nd round receiver who gains 900 yards through four years or an undrafted free agent who catches 300 yards through four years; we know that higher draft picks (and/or faster players) are more likely to get on the field earlier, which lets them have an easier time getting more yards.   Is that enough to make the data meaningless? I don&#8217;t think so.</p>
<p>For question 2, this is also tricky to analyze.  What is the proper minimum number of routes run?  And even at a higher threshold, quantity still matters; a player who averages 2.0 yards per route run on 1500 routes is a more meaningful contributor that one who averages 2.20 yards per route run on 800 routes.   We could try to come up with the best single way to grade each of these wide receivers, and then compare 40-yard dash time to that metric.  But that feels like its own separate project.  What do you think?</p>
<p>And if you are curious&#8230;. in the next post, I will look at draft position in addition to 40-yard dash time.</p>
<p>Please leave your thoughts in the comments.  I welcome your feedback!</p>
<div class="speaker-mute footnotes_reference_container"> <div class="footnote_container_prepare"><p><span role="button" tabindex="0" class="footnote_reference_container_label pointer" onclick="footnote_expand_collapse_reference_container_48540_4();">References</span><span role="button" tabindex="0" class="footnote_reference_container_collapse_button" style="display: none;" onclick="footnote_expand_collapse_reference_container_48540_4();">[<a id="footnote_reference_container_collapse_button_48540_4">+</a>]</span></p></div> <div id="footnote_references_container_48540_4" style=""><table class="footnotes_table footnote-reference-container"><caption class="accessibility">References</caption> <tbody> 

<tr class="footnotes_plugin_reference_row"> <th scope="row" class="footnote_plugin_index_combi pointer"  onclick="footnote_moveToAnchor_48540_4('footnote_plugin_tooltip_48540_4_1');"><a id="footnote_plugin_reference_48540_4_1" class="footnote_backlink"><span class="footnote_index_arrow">&#8593;</span>1</a></th> <td class="footnote_plugin_text">Why those years? PFR&#8217;s data only goes back to 2000, and players who participated at the combine more recently than 2017 have not yet accrued four NFL seasons.</td></tr>

<tr class="footnotes_plugin_reference_row"> <th scope="row" class="footnote_plugin_index_combi pointer"  onclick="footnote_moveToAnchor_48540_4('footnote_plugin_tooltip_48540_4_2');"><a id="footnote_plugin_reference_48540_4_2" class="footnote_backlink"><span class="footnote_index_arrow">&#8593;</span>2</a></th> <td class="footnote_plugin_text">Chosen because this represents the average length of a rookie contract.</td></tr>

<tr class="footnotes_plugin_reference_row"> <th scope="row" class="footnote_plugin_index_combi pointer"  onclick="footnote_moveToAnchor_48540_4('footnote_plugin_tooltip_48540_4_3');"><a id="footnote_plugin_reference_48540_4_3" class="footnote_backlink"><span class="footnote_index_arrow">&#8593;</span>3</a></th> <td class="footnote_plugin_text">This analysis, of course, excludes players who were not invited to the combine like <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/H/HillTy00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Tyreek Hill</a> and <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/G/GordJo02.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Josh Gordon</a>, undrafted players like <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/C/CruzVi00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Victor Cruz</a>, <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/A/AndeRo04.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Robby Anderson</a>, and <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/B/BaldDo00.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Doug Baldwin</a>, and players who skipped the combine like <a rel="nofollow noopener" target="_blank" href="https://www.pro-football-reference.com/players/D/DaviCo03.htm?utm_campaign=Linker&#038;utm_source=direct&#038;utm_medium=linker-">Corey Davis</a>.</td></tr>

<tr class="footnotes_plugin_reference_row"> <th scope="row" class="footnote_plugin_index_combi pointer"  onclick="footnote_moveToAnchor_48540_4('footnote_plugin_tooltip_48540_4_4');"><a id="footnote_plugin_reference_48540_4_4" class="footnote_backlink"><span class="footnote_index_arrow">&#8593;</span>4</a></th> <td class="footnote_plugin_text">That might sound like strike two, but Stallworth was tied for the 61st most receiving yards out of this group if 853 receivers.  It&#8217;s a strike for 40-yard dash time being the only thing that matters, but not for 40-yard dash time having any value.</td></tr>

<tr class="footnotes_plugin_reference_row"> <th scope="row" class="footnote_plugin_index_combi pointer"  onclick="footnote_moveToAnchor_48540_4('footnote_plugin_tooltip_48540_4_5');"><a id="footnote_plugin_reference_48540_4_5" class="footnote_backlink"><span class="footnote_index_arrow">&#8593;</span>5</a></th> <td class="footnote_plugin_text">Although if you want to argue we should only focus on the best players, well, I&#8217;d be open to listening.</td></tr>

<tr class="footnotes_plugin_reference_row"> <th scope="row" class="footnote_plugin_index_combi pointer"  onclick="footnote_moveToAnchor_48540_4('footnote_plugin_tooltip_48540_4_6');"><a id="footnote_plugin_reference_48540_4_6" class="footnote_backlink"><span class="footnote_index_arrow">&#8593;</span>6</a></th> <td class="footnote_plugin_text">Which really means the 4.31 to 4.69 range, of course.</td></tr>

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