The Wheelhouse: Wasted Opportunities

The Wheelhouse: Wasted Opportunities

This article is part of our The Wheelhouse series.

Without asking her out, Peter Gibbons never would have hooked up with Joanna in Office Space.

Let's face it, courtship usually requires a leap of faith beyond throwing a dart in the direction of the unusually hot waitress at a bad restaurant. At least give yourself a chance. You can probably count the times that girl has asked you out on the real fingers of Roy Munson's right hand.

It's all about creating opportunities. Without that, there won't be results.

That's the extent of my dating advice.

I have been thinking a lot about wasted opportunities lately, and the most relevant application for our purposes applies to hitters. Over the years, we have come to accept that some players are reliably of the Three True Outcomes variety (home runs, strikeouts and walks). We're looking at you, Adam Dunn.

Most of our energy is expended trying to figure out the inner workings of guys who put the ball in play more often. How many fantasy players and industry types were thinking about batting average on balls in play five years ago, or 10? Even now, our collective understanding of it seems to be misguided as BABIP is often cited as a normalized rate that should be nearly equal for all hitters. It doesn't work that way - for hitters, or pitchers, for a variety of reasons that have been detailed at various times on RotoWire and in other places over the years.

This piece is an argument that we are

Without asking her out, Peter Gibbons never would have hooked up with Joanna in Office Space.

Let's face it, courtship usually requires a leap of faith beyond throwing a dart in the direction of the unusually hot waitress at a bad restaurant. At least give yourself a chance. You can probably count the times that girl has asked you out on the real fingers of Roy Munson's right hand.

It's all about creating opportunities. Without that, there won't be results.

That's the extent of my dating advice.

I have been thinking a lot about wasted opportunities lately, and the most relevant application for our purposes applies to hitters. Over the years, we have come to accept that some players are reliably of the Three True Outcomes variety (home runs, strikeouts and walks). We're looking at you, Adam Dunn.

Most of our energy is expended trying to figure out the inner workings of guys who put the ball in play more often. How many fantasy players and industry types were thinking about batting average on balls in play five years ago, or 10? Even now, our collective understanding of it seems to be misguided as BABIP is often cited as a normalized rate that should be nearly equal for all hitters. It doesn't work that way - for hitters, or pitchers, for a variety of reasons that have been detailed at various times on RotoWire and in other places over the years.

This piece is an argument that we are missing something from the Three True Outcomes. Since reading a piece from Mike Salfino last summer looking at the quality of contact that pitchers allow, I have been thinking more about the applications of batted ball data. As Chris Liss concluded (during an interview with Salfino on the XM show, I believe) an infield flyball is a strikeout, in terms of outcome.

Think about it. How many infield flyballs are hits league wide over the course of a year? How many infield flyballs generate an RBI? Of course by nature, it can't be a home run. In most leagues, we care about hits, runs, home runs, RBI and stolen bases. An infield flyball is essentially a zero across the board in your five hitting categories, just like a strikeout.

Despite this, we seem to be looking past the fact that some hitters are better at avoiding infield flyballs than others. I consider it to be a skill on the same level as making contact in general. A good hitter won't be fooled as often, and therefore, won't make a terrible mistake and pop up a ball in the infield. This is the obligatory Joey Votto for Prime Minister mention.

Just as you should not target or avoid players solely because of their ability to maintain a particular BABIP, this data is not intended to be the primary focus of analyzing a player's skill set. Instead, it's just another piece of the puzzle that may have been previously overlooked or forgotten about.

We certainly care about strikeouts - and tend to avoid or significantly reduce what we are willing to pay for someone who does it too much. My proposal is to modify the strikeouts element of Three True Outcomes to Wasted Plate Appearances (or in a more relevant light for rotisserie, Wasted At-Bats). Just add infield flyballs to strikeouts, and carry on.

A full table of data from the 2012 season is available here.

There are a couple of ways to slice the data.

First, let's take a look at guys who are putting an extremely high number of balls into play.

NameGPAHRRRBISBBB%K/PA%ISOBIPAVGOBPSLGIFFBSOABWABWAB%
Juan Pierre13043915925375.2%6.2%.063.327.307.351.371527394328.1%
Placido Polanco903282281905.5%7.6%.069.274.257.302.327425303299.6%
Ben Revere12455307032405.2%9.8%.049.325.294.333.3421545115510.8%
Jeff Keppinger1154189464015.7%7.4%.114.332.325.367.43911313854210.9%
Marco Scutaro1566837877495.9%7.2%.098.319.306.348.40521496207011.3%
Michael Brantley14960966360128.7%9.2%.114.310.288.348.4028565526411.6%
Salvador Perez7630511383903.9%8.9%.170.299.301.328.4717272893411.8%
Michael Young1566518796725.1%10.8%.093.299.277.312.3704706117412.1%
Jose Reyes160716118657408.8%7.8%.146.298.287.347.43322566427812.1%
Norichika Aoki151588108150307.3%9.4%.144.304.288.355.4339555206412.3%
Darwin Barney1565887734465.6%9.9%.100.273.254.299.35410585486812.4%
Ichiro Suzuki16266397755293.3%9.2%.107.300.283.307.39019616298012.7%
Ryan Hanigan11237122524011.9%10.0%.063.302.274.365.3384373174112.9%
Martin Prado156690108170178.4%10.0%.136.322.301.359.43812696178113.1%
Jose Altuve14763078037336.3%11.7%.109.321.290.340.3992745767613.2%
Yadier Molina138563226576128.0%9.8%.186.316.315.373.50112555056713.3%
James Loney1444656374106.0%11.0%.088.269.249.293.3367514345813.4%
Yunel Escobar1456089585155.8%11.5%.091.273.253.300.3445705587513.4%
Omar Infante149588126953173.6%11.1%.144.291.274.300.41910655547513.5%
Derek Jeter15974015995896.1%12.2%.113.347.316.362.4293906839313.6%
Denard Span12856847141178.3%10.9%.112.315.283.342.39511625167314.1%
Dustin Pedroia141623158165207.7%9.6%.160.300.290.347.44921605638114.4%
Casey Kotchman14250012465535.2%9.8%.104.233.229.280.33318494636714.5%
Nick Markakis10447113595418.9%10.8%.174.310.298.363.47110514206114.5%
Ryan Theriot10438404528136.3%12.2%.051.308.270.316.3215473525214.8%
Troy Tulowitzki472038332729.4%9.4%.199.284.287.360.4868191812714.9%

Not surprisingly, this group is full of players who have typically been a steady source of batting average throughout their respective careers, while there is also a decent number of speedsters throughout the group with Ben Revere, Jose Reyes, Juan Pierre, Norichika Aoki and Jose Altuve all stealing 30 or more bases a season ago. Subsequently many players in this group have been used as tablesetters for their respective teams at some point, providing plenty of added value in runs scored as well.

Perhaps the most intriguing from the high volume balls in play group are the guys who show power. Check out the relative ISO (isolate power, slugging - batting average) standouts with Troy Tulowitzki (.199), Yadier Molina (.186), Nick Markakis (.174), Salvador Perez (.170) and Dustin Pedroia (.160). To a lesser extent, Reyes (.146), Aoki (.144), Omar Infante (.144) and Martin Prado (.136) are noteworthy here as well, especially with Reyes and Prado heading to more hitter-friendly home parks this season. Not surprisingly, most of those players carry a premium as five-category rotisserie darlings, but a few are somewhat overlooked or at least presently undervalued.

At the other end of the spectrum, we have the group wasting a significant portion of their at-bats:

NameGPAHRRRBISBBB%K/PA%ISOBIPAVGOBPSLGIFFBSOABWABWAB%
Brett Jackson441424149015.5%41.5%.167.298.175.303.3422591206150.8%
Tyler Flowers521537191327.8%36.6%.199.301.213.296.4126561366245.6%
Adam Dunn151649418796216.2%34.2%.263.246.204.333.4681222253923443.4%
Jonny Gomes99333184647313.2%31.2%.229.348.262.377.4911310427911741.9%
Carlos Pena160600197261214.5%30.3%.157.264.197.330.3542218249720441.0%
Chris Carter67260163839015.0%31.9%.275.295.239.350.5146832188940.8%
Justin Maxwell12435218465399.1%32.4%.232.292.229.304.460711431512138.4%
Ryan Howard7129214285608.6%33.9%.204.287.219.295.4230992609938.1%
Derek Norris602327193459.1%28.4%.148.255.201.276.34913662097937.8%
Mike Napoli108417245356113.4%30.0%.241.273.227.343.469712535213237.5%
Juan Francisco932059173215.4%34.1%.198.316.234.278.4322701927237.5%
Dan Uggla154630198678414.9%26.7%.164.283.220.348.3842816852319637.5%
Mark Reynolds135538236569113.6%29.6%.208.282.221.335.4291215945717137.4%
Brandon Moss8429621485218.8%30.4%.306.359.291.358.5967902659736.6%
J. Saltalamacchia12144825555908.5%31.0%.232.265.222.288.454813940514736.3%
Anthony Gose5618912511159.0%31.2%.096.340.223.303.3191591666036.1%
Kirk Nieuwenhuis913147402848.0%31.2%.124.358.252.315.37639828210135.8%
J.P. Arencibia10237218455614.8%29.0%.202.281.233.275.4351610834712435.7%
Drew Stubbs136544147540307.7%30.5%.120.290.213.277.333816649317435.3%
Curtis Granderson160684431021061011.0%28.5%.260.260.232.319.4921519559621035.2%
Pedro Alvarez14958630648519.7%30.7%.223.308.244.317.467318052518334.9%
Danny Espinosa160658178256207.0%28.7%.155.333.247.315.4021718959420634.7%
Giancarlo Stanton12350137758669.2%28.5%.318.344.290.361.6081214344915534.5%
Casper Wells9331610423638.2%25.3%.168.282.228.302.39618802859834.4%
Brett Wallace662549242407.1%28.7%.170.331.253.323.4245732297834.1%
Chris Davis13956233758526.6%30.1%.231.335.270.326.501416951517333.6%
Kelly Johnson1425811661551410.7%27.4%.140.292.225.313.3651115950717033.5%
Tyler Greene116330113430125.8%28.8%.170.292.230.274.40079530510233.4%
Michael McKenry88275122539010.5%26.5%.208.278.233.320.4427732408033.3%

This group offers much more power across the board, as it encompasses the Three True Outcomes types described earlier. Of course, we already knew that Adam Dunn gives away a lot of potential RBI chances with his strikeouts, so the more important step is to look at the free-swingers who also hit a high number of infield flyballs. Thus, the next group represents the hitters with the greatest increase in wasted at-bat percentage with the inclusion of IFFB.

NameGPAHRRRBISBBB%K/PA%ISOBIPAVGOBPSLGIFFBSOABWABWAB%K/AB%Delta
Brendan Ryan14147034231119.4%20.9%.084.244.194.277.278329840713031.9%24.1%7.9%
Clint Barmes1444938344504.1%21.5%.092.280.229.272.3213210645513830.3%23.3%7.0%
Mike Moustakas14961420697356.4%20.2%.171.274.242.296.4123912456316329.0%22.0%6.9%
Jimmy Rollins1566992310268308.9%13.7%.177.262.250.316.427429663213821.8%15.2%6.6%
Casper Wells9331610423638.2%25.3%.168.282.228.302.39618802859834.4%28.1%6.3%
Rod Barajas10436111293108.0%19.1%.137.224.206.283.34320693218927.7%21.5%6.2%
Jose Bautista92399276465514.8%15.8%.286.215.241.358.52720633328325.0%19.0%6.0%
Scott Hairston13439820525784.8%20.9%.241.287.263.299.504228337710527.9%22.0%5.8%
Josh Reddick156673328585118.2%22.4%.221.269.242.305.4633315161118430.1%24.7%5.4%
Dan Uggla154630198678414.9%26.7%.164.283.220.348.3842816852319637.5%32.1%5.4%
Gaby Sanchez1053267303017.7%17.2%.124.245.217.279.34116562997224.1%18.7%5.4%
Trevor Plouffe11946524565518.0%19.8%.220.244.235.301.455229242211427.0%21.8%5.2%
Ian Kinsler1577311910572218.2%12.3%.166.270.256.326.423349065512418.9%13.7%5.2%
Desmond Jennings132563138547318.2%21.3%.143.298.246.314.3882612050514628.9%23.8%5.1%
Juan Rivera1093399304715.3%10.3%.131.245.244.286.37516353125116.3%11.2%5.1%
Sean Rodriguez1123426363257.9%21.9%.113.260.213.281.32615753019029.9%24.9%5.0%
Edwin Encarnacion15164442931101313.0%14.6%.277.266.280.384.557279454212122.3%17.3%5.0%
Gordon Beckham15158216626056.9%15.3%.137.254.234.296.371268952511521.9%17.0%5.0%
Chris Heisey1203757443164.8%21.6%.135.328.265.315.40117813479828.2%23.3%4.9%
Mike Aviles136546135760144.2%14.1%.131.269.250.282.381257751210219.9%15.0%4.9%
Pablo Sandoval10844212596318.6%13.3%.164.301.283.342.44719593967819.7%14.9%4.8%
Justin Smoak13253519495119.2%20.7%.147.242.217.290.3642311148313427.7%23.0%4.8%
Yoenis Cespedes129540237082168.0%18.9%.214.326.292.356.5052310248712525.7%20.9%4.7%
Jonny Gomes99333184647313.2%31.2%.229.348.262.377.4911310427911741.9%37.3%4.7%
Chris Young10136314364189.9%21.8%.203.263.231.311.43415793259428.9%24.3%4.6%
J.P. Arencibia10237218455614.8%29.0%.202.281.233.275.4351610834712435.7%31.1%4.6%
Shane Victorino154666117255398.0%12.0%.128.278.255.321.383278059510718.0%13.4%4.5%
Nate McLouth8929873920129.1%20.5%.139.286.241.314.38012612667327.4%22.9%4.5%
Maicer Izturis10031923520177.8%11.9%.059.289.256.320.31513382895117.6%13.1%4.5%
Luke Scott9634414355556.1%23.3%.210.259.229.285.43914803149429.9%25.5%4.5%
Erick Aybar14155486745204.0%11.0%.126.316.290.324.41623615178416.2%11.8%4.4%
Miguel Olivo8732312272932.2%26.3%.159.266.222.239.38114853159931.4%27.0%4.4%
Carlos Pena160600197261214.5%30.3%.157.264.197.330.3542218249720441.0%36.6%4.4%
Colby Rasmus15162523757547.5%23.8%.177.259.223.289.4002514956517430.8%26.4%4.4%
Jed Lowrie97387164342211.1%16.8%.194.257.244.331.43815653408023.5%19.1%4.4%
Eric Chavez11331316363709.6%18.8%.216.300.281.348.49612592787125.5%21.2%4.3%
Albert Pujols154670308510587.8%11.3%.231.282.285.343.516267660710216.8%12.5%4.3%
Zack Cozart13860015723545.2%18.8%.153.282.246.288.3992411356113724.4%20.1%4.3%
Luis Cruz782966264023.0%11.5%.134.320.297.322.43112342834616.3%12.0%4.2%
Carlos Quentin86340164446010.6%12.1%.243.252.261.374.50412412845318.7%14.4%4.2%
Kurt Suzuki1184426364324.5%16.5%.093.269.235.276.32817734089022.1%17.9%4.2%
Ty Wigginton125360114043110.3%22.5%.140.275.235.314.37513813159429.8%25.7%4.1%
Brian Dozier843406333394.7%17.1%.098.267.234.271.33213583167122.5%18.4%4.1%
Carlos Gomez137452197251374.4%21.7%.202.296.260.305.463179841511527.7%23.6%4.1%
J.J. Hardy15871322856805.3%14.9%.151.253.238.282.3892710666313320.1%16.0%4.1%
Josh Willingham1456153585110312.4%22.9%.264.287.260.366.5242114151916231.2%27.2%4.0%
Carlos Beltran1516193283971310.5%20.0%.227.291.269.346.4952212454714626.7%22.7%4.0%
Dayan Viciedo14754325647805.2%22.1%.188.286.255.300.4442012050514027.7%23.8%4.0%

At the other end of the spectrum, we can look at players who are the least affected by the inclusion of infield flyball rate. My position would be that their contact is typically very good, at least, when they put the bat on the ball. That is to say, they are very rarely cheated.

NameGPAHRRRBISBBB%K/PA%ISOBIPAVGOBPSLGIFFBSOABWABWAB%K/AB%Delta
Ryan Howard7129214285608.6%33.9%.204.287.219.295.4230992609938.1%38.1%0.0%
Joe Mauer147641108185814.0%13.7%.127.364.319.416.4461885458916.3%16.1%0.2%
Ben Revere12455307032405.2%9.8%.049.325.294.333.3421545115510.8%10.6%0.2%
Chris Johnson13652815487655.9%25.0%.170.354.281.326.451113248813327.3%27.0%0.2%
Jon Jay11750247040196.8%14.1%.095.355.305.373.4001714437216.3%16.0%0.2%
Joey Votto111475145956519.8%17.9%.230.404.337.474.5671853748623.0%22.7%0.3%
Michael Bourn155703996574210.0%22.0%.117.349.274.348.391215562415725.2%24.8%0.3%
Quintin Berry9433024429217.6%24.2%.096.348.258.330.3541802918127.8%27.5%0.3%
Jose Altuve14763078037336.3%11.7%.109.321.290.340.3992745767613.2%12.8%0.3%
Howie Kendrick14759485767144.9%19.4%.113.347.287.325.400211555011721.3%20.9%0.4%
Skip Schumaker1073041372818.9%16.4%.092.332.276.339.3681502725118.8%18.4%0.4%
Austin Jackson13761716103661210.9%21.7%.179.371.300.377.479213454313625.0%24.7%0.4%
Derek Jeter15974015995896.1%12.2%.113.347.316.362.4293906839313.6%13.2%0.4%
Shin-Soo Choo1556861688672110.6%21.9%.159.353.283.373.441315059815325.6%25.1%0.5%
Alex Avila11643494248214.1%24.0%.142.313.243.352.384210436710628.9%28.3%0.5%
Pedro Alvarez14958630648519.7%30.7%.223.308.244.317.467318052518334.9%34.3%0.6%
Michael Young1566518796725.1%10.8%.093.299.277.312.3704706117412.1%11.5%0.7%
Daniel Murphy15661266265105.9%13.4%.112.329.291.332.4034825718615.1%14.4%0.7%
Yonder Alonso15561994762310.0%16.3%.120.318.273.348.393410154910519.1%18.4%0.7%
Matt Kemp10644923746998.9%22.9%.236.354.303.367.538310340310626.3%25.6%0.7%
Everth Cabrera11544924924449.6%24.5%.078.336.246.324.324311039811328.4%27.6%0.8%
Chris Davis13956233758526.6%30.1%.231.335.270.326.501416951517333.6%32.8%0.8%
Jason Castro8729562929010.5%20.7%.144.309.257.334.4012612576324.5%23.7%0.8%
Billy Butler161679297210728.0%16.3%.197.341.313.373.510511161411618.9%18.1%0.8%
Chris Nelson1113779455327.2%22.3%.157.374.301.352.4583843458725.2%24.3%0.9%
Yunel Escobar1456089585155.8%11.5%.091.273.253.300.3445705587513.4%12.5%0.9%
Josh Thole1043541242107.6%14.1%.056.273.234.294.2903503215316.5%15.6%0.9%
Torii Hunter14058416819296.5%22.8%.139.389.313.365.451513353413825.8%24.9%0.9%
Buster Posey1486102478103111.3%15.7%.213.368.336.408.54959653010119.1%18.1%0.9%
Elvis Andrus15871138562218.0%13.5%.092.332.286.349.37869662910216.2%15.3%1.0%
Matt Carpenter11434064446110.0%18.5%.169.346.294.365.4633632966622.3%21.3%1.0%
Jarrod Dyson1023300529309.1%17.0%.062.318.260.328.3223562925920.2%19.2%1.0%
Kirk Nieuwenhuis913147402848.0%31.2%.124.358.252.315.37639828210135.8%34.8%1.1%
Mike Trout13963930129834910.5%21.8%.238.383.326.399.564613955914525.9%24.9%1.1%
Reed Johnson1192883302024.5%21.2%.108.366.290.337.3983612696423.8%22.7%1.1%
Chris Denorfia13038285636137.1%13.6%.158.323.293.345.4514523485616.1%14.9%1.1%
Tony Gwynn10327702917135.8%18.8%.062.290.232.276.2933522595521.2%20.1%1.2%
Wilson Betemit10237612414008.2%27.4%.161.336.261.322.422410334110731.4%30.2%1.2%
Bryan LaHair130380164240410.3%32.6%.191.358.259.334.450412434012837.6%36.5%1.2%
A.J. Ellis133505134452012.9%21.2%.144.329.270.373.414510742311226.5%25.3%1.2%
David Freese144567207079310.1%21.5%.174.352.293.372.467612250112825.5%24.4%1.2%
Brandon Belt145472747561211.4%22.5%.146.351.275.360.421510641111127.0%25.8%1.2%
Josh Hamilton1486364310312879.4%25.5%.292.320.285.354.577716256216930.1%28.8%1.2%
Ryan Hanigan11237122524011.9%10.0%.063.302.274.365.3384373174112.9%11.7%1.3%
Juan Pierre13043915925375.2%6.2%.063.327.307.351.371527394328.1%6.9%1.3%
Gerardo Parra13343075836157.7%17.9%.119.323.273.335.3925773858221.3%20.0%1.3%
Seth Smith125441145552211.3%22.2%.180.285.240.333.42059838310326.9%25.6%1.3%
Placido Polanco903282281905.5%7.6%.069.274.257.302.327425303299.6%8.3%1.3%
Dexter Fowler1435301372531212.8%24.2%.174.390.300.389.474612845413429.5%28.2%1.3%
Chase Utley833621148451111.9%11.9%.173.261.256.365.4294433014715.6%14.3%1.3%
Jason Kipnis1526721486763110.0%16.2%.122.291.257.335.379810959111719.8%18.4%1.4%
Jesus Montero13555315466205.2%17.9%.126.292.260.298.38679951510620.6%19.2%1.4%
David Wright1566702191931512.1%16.7%.186.347.306.391.492811258112020.7%19.3%1.4%
Jason Kubel141571307590110.0%26.4%.253.296.253.327.506715150615831.2%29.8%1.4%
Nyjer Morgan12232234416126.2%19.6%.069.296.239.302.3084632896723.2%21.8%1.4%
Justin Ruggiano91320133836149.1%26.3%.222.401.313.374.5354842888830.6%29.2%1.4%
Jack Hannahan1053184232908.5%19.8%.098.299.244.312.3414632876723.3%22.0%1.4%
Ryan Theriot10438404528136.3%12.2%.051.308.270.316.3215473525214.8%13.4%1.4%
Corey Hart14962230918357.1%24.3%.237.318.270.334.507815156215928.3%26.9%1.4%
Miguel Cabrera1616974410913949.5%14.1%.277.331.330.393.60699862210717.2%15.8%1.4%
Michael Brantley14960966360128.7%9.2%.114.310.288.348.4028565526411.6%10.1%1.4%
Evan Longoria74312173955210.6%19.6%.238.313.289.369.5274612736523.8%22.3%1.5%
Eric Thames862909272515.2%30.0%.166.305.232.273.3994872719133.6%32.1%1.5%
Daniel Nava8831763833311.7%19.9%.146.295.243.352.3904632676725.1%23.6%1.5%
Jose Tabata1033743431687.8%15.5%.105.287.243.315.3485583336318.9%17.4%1.5%
Alejandro De Aza13158598150268.0%18.6%.130.339.281.349.410810952411722.3%20.8%1.5%

Count me among those who never realized that Ryan Howard is elite in terms of avoiding infield flyballs. He's hit 19 in his entire big league career. By comparison, Jose Bautista had 20 last season alone, and that was in 92 games. Revere doesn't strike out or hit infield flyballs - pretty much ideal for a speedster that you're leaning on to put the ball in play and pressure opposing teams with his legs. It's little wonder that the Phillies acquired him from the Twins rather than pay Michael Bourn $52 million as a free agent, especially when you factor in the age difference and Bourn's significantly higher strikeout rate.

Draft day is all about exploiting market inefficiencies that are unique to your league, and there are a lot of ways you can interpret and manipulate the above data.

On the surface, the most useful way to apply this information is to supplement what we already know about these players.

The power hitters from the very first group above -- particularly the aforementioned undervalued middle round options -- should become more of a priority to target.

Conversely, the high infield flyball rate, high strikeout rate types that may have otherwise been rebound candidates such as Dan Uggla, might become players to simply pass on entirely.

Follow me on Twitter @DerekVanRiper.

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ABOUT THE AUTHOR
Derek VanRiper
Derek was a frequent writer and media host. During his tenure, he'd been a two-time finalist for the FSWA's Baseball Writer of the Year award, and winner of the Best Football Article on the Web (2009) and Best Baseball Article on the Web (2010) awards. Derek also had hosted RotoWire's shows on SiriusXM Fantasy Sports Radio (XM 87, Sirius 210).
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