Are Performance Enhancing Surgeries More "Fair" Than PEDs??

April 29th, 2009
Filed under: Launch Season 2008 — Robi Ganguly @ 11:07 am

With all of the attention paid to Performance Enhancing Drugs like HGH and Steroids, sometimes we forget the other things that athletes do, medically, in order to add or regain performance. DraftMVP friend, Apurva Desai, writes another intriguing blog post about:

Performance Enhancing Surgeries

From Tommy John surgery to Lasik, athletes go under the knife often, with the hopes of regaining or enhancing their capabilities. Apurva’s post does a great job of digging into this topic and comes up with some interesting facts, go check it out!





Ever seen a switch pitcher? How about a switch pitcher facing a switch hitter?

April 16th, 2009
Filed under: Funny sports snippets — Tags: , , , — Robi Ganguly @ 8:50 am

If any of you are in the ultra-competitive Lefty and Righty pitcher leagues, this guy’s probably a good pickup :)





A creative way to track your fantasy sports teams and competition

April 3rd, 2009
Filed under: Fantasy Sports Tools — Tags: , , — Robi Ganguly @ 1:08 am

As toolsmakers for the Fantasy Sports industry, we’re always looking around at interesting ways that technology can be applied to Fantasy Sports, making your job as a manager easier.

Recently, our friends at Zentact blogged about how one of their users was using Zentact to keep tabs on all of the owners and players in his league. Head on over there and take a read of the blog post, it’s well worth it. If any of you decide to use it yourself, be sure to let us know how it works out for you!





Think our site needs a different look & feel?? Us too!

April 1st, 2009
Filed under: About DraftMVP — Tags: , — Robi Ganguly @ 9:53 pm

We’re working on several new things, including an in-season tool and covering the other major fantasy sports for next year. We’re building as fast as we can. But we need more hands. Literally.

If you look at our site and think “arghh, can you work on these colors?” or have ideas on how to make our User Experience smoother and more intuitive, PLEASE let us know. If you know people who might be able to help us out and are into sports, be sure to refer them on to us as well.

What we’re looking for:

  • A developer with experience in HTML, PHP and/or Flex.
  • General graphic design skills.
  • Someone with drive and a need to take responsibility for projects and to push them forward

We’re open to bringing people on board full-time or part-time. Our team is small and we’re all working on other things, but we need team members who will be equally focused on pushing this forward.

If that sounds like you or anyone we know, let us know! Just email Cyrus or leave a comment here or ping us on Twitter

Thanks!

The DraftMVP team (Cyrus, Dion, Jason and Robi)





Guest Post: Steroids, A-Rod & Game Theory

April 1st, 2009
Filed under: Sports & Game Theory — Tags: , , , , — admin @ 4:45 pm

From time to time, DraftMVP’s blog features guests who have done some interesting and valuable thinking about sports, analysis and decision-making. We’re proud to share with you excellent writing on the Steroids situation (which we talked about here) , A-Rod (who we talked about here) and Game Theory (which we clearly need to write about). This comes to you from Guest Blogger and friend of DraftMVP: Apurva Desai.

Apurva blogs about sports, life and his own musings at http://apurvadesai.com/ and you can reach him via e-mail at apurva.desai@yahoo.com

The recent revelation that baseball superstar Alex Rodriguez tested positive for steroids in 2003 has rocked the sports world and reignited the seemingly never ending steroid saga. But really, should anyone be surprised.

The late Ken Caminiti admitted in a Sports Illustrated story that he had used steroids during his 1996 MVP season and had indicated he doesn’t regret using them to get ahead. He further said, “It’s no secret what’s going on in baseball. At least half the guys are using [steroids],” says Caminiti. “They talk about it. They joke about it with each other. … I don’t want to hurt fellow teammates or fellow friends. But I’ve got nothing to hide.”

Later, Jose Canseco, in front of Congress and in his book “Juiced- Wild Times, Rampant ‘Roids, Smash Hits, and How Baseball got Big”, claimed that 80 percent of players used steroids and that MLB owners condoned steroid use because they felt a deluge of home runs would help win back the fans after the strike wiped out the 1994 World Series. While Canseco is clearly not the smartest bulb in the box, much of what he says has proven to be true.

I personally believe that the 50% to 80% figure is much more accurate than the 7% that MLB reported after their 2003 testing. The reason why the 50%+ clearly makes sense to me is all about game theory.

The classic game theory prisoners dilemma example is presented as follows (as shown in Wikipedia): Two suspects are arrested by the police. The police have insufficient evidence for a conviction, and, having separated both prisoners, visit each of them to offer the same deal. If one testifies (defects) for the prosecution against the other and the other remains silent, the betrayer goes free and the silent accomplice receives the full 10-year sentence. If both remain silent, both prisoners are sentenced to only six months in jail for a minor charge. If each betrays the other, each receives a five-year sentence. Each prisoner must choose to betray the other or to remain silent. Each one is assured that the other would not know about the betrayal before the end of the investigation. How should the prisoners act? The classical prisoner’s dilemma can be summarized thus:

Prisoner B Stays Silent Prisoner B Betrays
Prisoner A Stays Silent Each serves 6 months Prisoner A: 10 years

Prisoner B: goes free

Prisoner A Betrays Prisoner A: goes free

Prisoner B: 10 years

Each serves 5 years

In this game, regardless of what the opponent chooses, each player always receives a higher payoff (lesser sentence) by betraying; that is to say that betraying is the strictly dominant strategy. For instance, Prisoner A can accurately say, “No matter what Prisoner B does, I personally am better off betraying than staying silent. Therefore, for my own sake, I should betray.” However, if the other player acts similarly, then they both betray and both get a lower payoff than they would get by staying silent. Rational self-interested decisions result in each prisoner’s being worse off than if each chose to lessen the sentence of the accomplice at the cost of staying a little longer in jail himself (hence the seeming dilemma).

Now, if I apply the game theory matrix to two competing professional baseball players who have two choices- 1) take steroids vs 2) not taking steroids. Let’s assume this is during the early 2000’s when there wasn’t a steroid testing program, steroids were readily available for all of the players if they wanted it, and the players lifetime livelihood depends on their income from baseball (which is the case for the majority of players who don’t have college educations nor many other skills). The major downside is long-term health issues as the likelihood of suspension and arrest weren’t high due to the absence of the testing program.

Player B Doesn’t Take Steroids

Player B Takes Steroids

Player A Doesn’t Take Steroids

Player A

  • Competitive Balance-for both players- success ($ and onfield) and MLB longevity depends on natural talent
  • No Long Term Health Impact

Player B

  • Competitive Balance-for both players- success ($ and onfield) and MLB longevity depends on natural talent
  • No Long Term Health Impact
Player A

  • Competitive Disadvantage (greater likelihood of having roster spot taken by steroid enhanced player, lesser performance vs peers, consequently less $)
  • No Long Term Health Impact

Player B

  • Competitive Advantage (helps ensure career longevity, better on-field performance and more $)
  • Negative Long Term Health Impact

Player A Takes Steroids

Player A

  • Competitive Advantage (helps ensure career longevity, better on-field performance and more $)
  • Negative Long Term Health Impact

Player B

  • Competitive Disadvantage (greater likelihood of having roster spot taken by steroid enhanced player, lesser performance vs peers, consequently less $)
  • No Long Term Health Impact
Player A

  • Competitive Balance-for both players- success ($ and onfield) and MLB longevity depends on natural talent (steroid impact offset-benefits all)
  • Negative Long Term Health Impact

Player B

  • Competitive Balance-for both players- success ($ and onfield) and MLB longevity depends on natural talent (steroid impact offset-benefits all)
  • Negative Long Term Health Impact

In this game, for each player in terms of on-field performance and monetary reward, the best result he can get when not taking steroids is to be at a competitive balance with his peers which is the worst result the player would get when taking steroids. Furthermore, the risk if he did not take steroids when his peers did was to have a competitive disadvantage which could cost him his spot in the major leagues, reduce their salary potential or worse, limit their earning potential to minor league salaries. Now of course, as the matrix indicates, taking steroids is linked to long-term health impacts. The bottom line though for the majority of these players is that the chance to ensure their major league salary would clearly offset the risk to his long-term health—the payoff of having a competitive balance or advantage would be greater than avoiding unknown long term health risks. Given that the majority of baseball players are not superstars who are on the fringe of staying in the major leagues vs being in the minor leagues or out of the game, during that period without real testing and penalties for taking steroids, it is easily understandable why more than 50% of players would be taking steroids.

The harder question is why players such as Barry Bonds and Alex Rodriguez would begin to take steroids after they had already become superstars without the benefit of steroids (allegedly— don’t know for certain). These players place in the league was already guaranteed, their contracts were already amongst the highest in the league, and their performance already granted them All-star status. These players really didn’t have as much incentive to take steroids and risk their health as the common average player. However, greed, personal ambition to be the best in the game in this era or any era, and to live up to large contracts they had already earned may be reason for top players to have taken steroids in an era when there weren’t penalties for steroids.





Ask the Experts #4: Are Spring Training Stats Myth or Reality?

March 27th, 2009

Manny hits first HR of Spring Training!

I was greeted by this ESPN headline today and it made laugh. No matter what I think - there are people that care and are clearly paying attention to spring training performances.

So what’s the deal with spring stats? We’ve been asked via Twitter (follow us here) and email whether spring stats are a valid predictor of regular season stats.  Without scrubbing years of stats to find the mysterious patterns, I did a quick experiment to see if we could learn something new.

Observe Exhibit 1. This is a table of the top 10 hitters by batting average in 2008 and their respective spring training stats:

top-10-picture

What do you notice?

How about the At Bats? 20-40 during spring as compared to 600-700 during the season. Wow. That’s quite a difference. Could we trust these spring stats as statistically significant? If there is any category where we could - it’s AVG.

According to the data, 9 of the 10 hitters batting over .300 in 2008 batted over .300 in the spring. Your MVP Dustin Pedroia is the one notable exception. So, either he is an outlier in this small data set or he had an abnormally good 2008.

Be careful all you people taking him as the 16th pick this year.

Now, being an analysis skeptic, I’m not entirely convinced, so let’s look at another piece of data - power. Enter Exhibit 2, a table of the top 10 HR hitters last year:

top-10-with-homers
Does it look different? Well, it should. There is no clear correlation. Manny only had one jack in the Spring of last year in his 30 AB’s. Quentin, Gonzalez, and Cabrera accounted for only one homer between the 3 of them!

Let’s keep our eyes on spring stats this year and see if we can find actionable patterns, but for the time being, I would say:

Don’t buy the spring training hype!





Ask the Experts #3: The A-Rod draft conundrum and managing RISK on your fantasy baseball team

March 20th, 2009
Filed under: Ask the Experts — Tags: , , , , , — Robi Ganguly @ 11:12 pm

We’ve heard the question so many times that we gave in folks; yes, that’s right, we’re going to talk about drafting Alex Rodriguez/A-Rod/A-Roid.

If you’re not into reading somewhat lengthy analysis or don’t want to know how you can approach your draft more strategically, I’ll cut to the chase and give you our answer:

Don’t take A-Rod with your top 5 to 7 picks, it’s NOT WORTH THE RISK.

(If you’re going to duck out at this point, make sure that you signup for our draft tool and get it configured for your upcoming drafts!)

“All right,” I can hear some of you asking, “what gives? What do you mean it’s not worth the risk? He could come back and be a monster.”

This is where DraftMVP is different from most of the fantasy world: we view your fantasy baseball team as a portfolio of players who generate statistics towards clearly defined goals (aka the stats categories for your leagues).

When framed that way, we can come to an important conclusion:

**Diminishing risk in your early picks is ESSENTIAL to having a successful draft**

Why? Because it is far harder to discover the stats contribution of early round draft picks in later rounds or on the waiver wire. Of course, it’s possible, but it’s much less likely.

Instead of filling your screen with tons of numbers though, we’ll make our point with some charts from the DraftMVP drafting tool. We think that they help illustrate the point much more clearly.

First, we’re going to start by identifying an average team that won its league last year¹. This team performed well across the board and like most winning roto teams, it was a top 4 scorer²  in 8 out of the 10 categories. This is an important point to understand: most winning teams will be able to show similar stats at the end of the season.

So, how did this championship team draft and of course, what can we all learn from it? In the first 5 rounds, this team took 4 batters:

  • Hanley Ramirez
  • Alfonso Soriano
  • Hunter Pence
  • Torii Hunter

Using our charts, we can see what their statistical contributions looked like:
first-5-picks-batting-with-text

If you’re not a user of DraftMVP, this chart is a little confusing. What’s important to focus on is that the column on the left-hand side shows your team’s % achievement against DraftMVP targets: our predictions of where your batting stats need to be to be confident of a top finish in each category.

Review this chart, what do you see? It appears that these first 4 batters get your team halfway or further towards the DraftMVP targets in all but one category. Ok, that sounds like a pretty good start, right?

Next, let’s take a look at their full active roster of 9 batters (we’re going to ignore their bench players, who don’t contribute to stats):
batting-full-roster

On the back half of the draft, this player managed to get less output from his last 5 starters than he got out of his first 4! Add to that surprising fact another point of note: one of this player’s late-round picks was Josh Hamilton, arguably last year’s best value.

The logical takeaway here should be this, considering that this example is proven out by fantasy leagues all over the place: in your first 5 or so rounds, you should be targeting players who will ensure that you’re well established in each of your stat categories. In the early rounds, you NEED to find players who you can be confident in getting half or more of your statistics.

Which brings us back to our Ask the Experts question: A-Rod’s not going to be capable of contributing to that goal. Missing somewhere between 4 and 8 weeks of the season ensures that he’s handicapped, statistically, even if he comes back and produces immediately. The risk of him contributing less than your team needs from him is too high to justify drafting him early on.

Alternatively, if you’re in a 12 team league and he’s still available in the 7th or 8th round, it might make more sense. Moreover, if the DraftMVP charts are telling you that you’re on pace for a statistically well-rounded team, then you KNOW that you’ve got more room to work with in later rounds.

That’s exactly the kind of real-time draft decision-making that will propel you to your league’s championship this year.

Footnotes:

1 In an 11 person, rotisserie-style league with traditional 5×5 metrics

² In an 11 person roto league, 1st place gets 11 points, 2nd gets 10 etc etc





Ask the Experts#2: How to use the Advanced Search capabilities

March 14th, 2009
Filed under: About DraftMVP, Ask the Experts — Tags: , , — Jason Chen @ 1:16 pm

Our 2nd “Ask the Experts” question comes from Rob in Boston. He has a question regarding our DraftMVP tool, specifically the Advanced Search functionality:

“How do I use the Advanced Search to help me find players to draft?”


We’ve gotten this question a number of times, and I’d like to give an example of how I personally like to use Advanced Search. When used properly, it helps me decide on players that I’m on the fence about and occasionally, even helps me uncover some hidden gems.


Let’s set the stage:

Say that you’re in one of the earlier rounds of your draft and you know you need some RBIs. The obvious answer is to configure your Advanced Search for “RBI”. So, take a few moments and do that and you’ll get the following list back:

advanced-search-pic-1-rbis

You can see that you get pretty much the same list that everyone else has been targeting as well. Sure… Pujols, Ryan Howard, Miguel Cabrera, David Wright, Manny Ramirez… those are obvious answers but they’re not available later in the draft. That’s not the “gem” we’re looking for.

RBIs are very influential in how fantasy baseball sites default rank players. So if you’re looking to fill that stat, you need to analyze players in a different way from everyone else. RBIs can be unpredictable and very dependent on a player’s situation, lineup spot, team, etc. When I look to fill that stat category after the first couple of rounds, I have to find someone that’s not on the “obvious” list. So, I’m looking for power in general. And to me, the best indicator for power is HRs and Doubles.

The power of Advanced Search is really in the ability to sort across more than one category. So, go back to Advanced Search and configure it to return players who do well in both HRs and Doubles:


advanced-search-pic-2-configuration2

When I do an Advanced Search and rank by HRs and Doubles, I get a list of players that hit for power. Some of the players on that list are not quite who you expected because their actual RBI totals weren’t quite as high as some more high-profile stars last year. But hitting for power indicates that they have RBI potential. Sometimes that’s all you can ask for. A player that hits for power has the potential to get a lot of RBIs, and if the cards fall right, his RBI numbers should catch up. So let’s take a look at what kind of results we get from Advanced Search when we rank by HRs and Doubles:

advanced-search-pic-3-hrs-and-doubles

…and that’s just for the first 10 results. If we’d configured it to return the top 20 or 30 results, we’d have an even more interesting list of players with just as much RBI potential as the big names.

HOWEVER, these are guys who should these are guys who should be available long after Pujols and Miggy Cabrera are off the draft board. Now you’re talking about a meaningful in-draft advantage; identifying hidden gems that fill the needs of your evolving team. I encourage everyone to play around with the Advanced Search and to experiment with things like identifying speedsters through combinations of stats like Runs and Triples, instead of just straight up SBs. You might uncover some of your own hidden gems….

Be sure to send us a note if you have more questions about how to use Advanced Search and thanks for this week’s question Rob!






Introducing our weekly “Ask the Experts” Column!

March 6th, 2009

Welcome to our very first “Ask the Experts” blog post. After receiving requests from a number of you over the past couple years, we’ve finally given in and decided to devote some time each week to answering questions about draft strategy, specific players and statistical analysis. If you’ve got a question for us feel free to email us at experts@draftmvp.com or just comment on a blog post.

Our first ever “Ask the Experts” question comes from Erik in Boise, Idaho, who asks:

“Is Matt Holliday a 1st or 2nd round pick this year? What should I think about him after his move to the A’s?”

At DraftMVP, we LOVE questions like this because we can use statistics to really dig into the player and his change in home stadiums. Let’s break this down:

First, a little recap:

Matt Holliday PictureFollowing a very strong 2006 season, Holliday was projected as a solid 2nd round pick and his monster 2007 rewarded scores of owners who got him on the cheap. In fact, according to our super-secret DraftMVP ranking system, his 2007 stats made him the 2nd most valuable batter in baseball (note, this is without taking position scarcity into account).  That 36-HR/137-RBI/0.340-AVG performance easily pushed him into the 1st round last year.  We don’t need to tell the ’08 Holliday owners out there: 2008 was a disappointment. His power numbers dropped quite a bit. But, there was one bright spot: his surprise 28 SB’s gave him added value in standard 5×5 rotisserie leagues and in the process, confused most of the fantasy universe in evaluating him for ’09.

Will Matt Holliday continue being a stealthy stealing machine with the A’s?

It’s no secret that the Oakland A’s do not like to run risks on the base paths. Just take a look at the numbers:

Oakland A’s Team Stolen Bases
2000:  40 SB         (last in AL)
2001:  68 SB         (2nd to last in AL)
2002:  46 SB         (last in AL)
2003:  48 SB         (2nd to last in AL)
2004:  47 SB         (last in AL)
2005:  31 SB         (last in AL)
2006:  61 SB         (10th in AL)
2007:  52 SB         (last in AL)
2008:  88 SB         (7th in AL)

Yeah, we were just as surprised as you that they were in the middle of the pack last year but don’t be fooled!  The A’s had the lowest scoring offense in the American League with a young team that had trouble scoring runs.  Without someone able to knock in runs, they had to resort to an un-Oakland like offense and rely more on SB’s.  Their 1st half versus 2nd half splits also support this… as their RBI’s tanked along with their team SLG% after the All Star Break, their SB’s went up in a last ditch effort to get runners home.  With off-season moves for Holliday along with Jason Giambi, I think that the modest SB numbers for Oakland last year were an outlier rather than a trend.

The Bottom line: Don’t count on Holliday’s recent stolen base production. I think Holliday’s SBs are going to drop back to the 10-12 SB level. If he’s anything like the 2007 Shannon Stewart pickup, the A’s will let him run a bit and he won’t fall all the way to single digits.

Fine, enough with the baserunning, how about his power, is it coming back?

Even with last year’s power drop, Holliday’s stats still put him in the top 20 for batters overall (and top 10 for OF’s). However, a move from the hitter-friendly confines of Coors Field forces us to evaluate his home/away splits. Unfortunately, they don’t forecast well for his slugging numbers.  Take a look over the last 3 years:

2006 – 2008 Batting Splits

AB R H 2B HR RBI SO AVG OBP SLG OPS

AWAY 869  147  257  58  33  120  184  .296  .370  .486   .856
HOME 908  199  328  75  62  219  156  .361  .430  .669  1.099

Holliday may well end up a .300 hitter next year, with 40 doubles, 20-25 HR’s, roughly 100 runs and 80-90 RBI’s.  (runs and RBI predictions in “new team” cases are notoriously unreliable, however)  That would end up being pretty similar to 2008’s power numbers.

What does this all mean in fantasy?

Re-calculating my custom rankings puts him right on the edge of being a top 30 batter with stats strikingly similar to OF Nick Markakis.

In a fantasy draft, that puts him in the 35th - 40th pick range.

If the decision were between Holliday and Markakis, I would give a slight edge to Holliday since he doesn’t have to face the AL East Bos/NYY/TB pitching staffs for 57 games (and gets 19 games against the Texas Rangers!). Thinking about my own draft gameplan, I wouldn’t pull the trigger on drafting Holliday in the 3rd or even 4th round knowing that I can fill that OF spot with other near-equivalent guys a couple rounds later.  Holliday is just not a good value in early rounds this season, especially if it looks like you’ll still have a chance at players like Nate McLouth, Curtis Granderson, Bobby Abreu, and even Torii Hunter later in the draft.  I’ll gladly let someone else draft Holliday in the first few rounds and plug another position instead.  But if I’m looking for a well-rounded stat contributor and he’s still available in the 5th round, then I might be excited for a little Holliday…





Are your players "in the game"?

September 15th, 2008
Filed under: Launch Season 2008 — Robi Ganguly @ 9:05 am

No, I’m not talking about the newest version of Madden.

Rather, I want to know, are your fantasy football players into fantasy football themselves? If so, maybe they care about getting stats for your team.

Don’t believe me? Check out Chris Cooley leading a fantasy draft for his Redskins teammates - Campbell probably is going to care how Cooley does now..

My favorite part’s at about 1:50 in when one of the guys picks a Cowboy and the rest of the team jumped on his back.

 

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