Baseball geekery: how fast should a fastball be?

February 19th, 2010

Here at DraftMVP World HQ (ok, ok, it’s just us on our laptops at a coffee shop), we like to throw around lots of crazy ideas about data, sports and how to beat each other at fantasy sports. Shocking, right?

In any case, we couldn’t help but pass along this awesome piece from the Hardball Times that analyzes how fast a fastball should be:

http://www.hardballtimes.com/main/article/how-fast-should-a-fastball-be/

As a preview, check out one of the excellent charts the post includes, highlighting pitch speed effectiveness (measured in Runs per 100 pitches) by section of the strike zone. Awesome awesome stuff.

Effectiveness of various speeds of pitches, by strike zone

Fantasy Strategies: Think Different

February 19th, 2010

In our quest to provide you with Fantasy Sports tools that enable you to make different decisions for your team, we’re always reading interesting takes on sports statistics. One of our favorite writers here is a guy named Joe Posnanski, who wrote a great piece towards the end of the 2009 baseball season. You can check it out here, but our favorite excerpt comes about halfway through:

I mentioned Bill James again … you know that he said he could throw 10 wildly unconventional ideas at me right off the top of his head, but he only actually mentioned one: The off-the-wall idea that maybe some team (say the Pittsburgh Pirates) simply decides that they will stop scouting and acquiring anyone who throws 90-plus mph. Just stop. You throw 95? Good for you, we’re not interested.

I will repeat: Bill wasn’t saying a team should actually do this. He was saying that a team COULD do this, though. I mean, seriously, what would happen? Let’s run a little thought experiment: You’re running the Pirates. And let’s say this was true:

50% of all potential big league pitchers who throw 95 mph will be good big league pitchers.

2% of all potential big league pitchers who throw 83 mph will be good big league pitchers.

I’m sure those percentages are way skewed — no way that half the 95-mph throwers are good big league pitchers, and I have no way of knowing about the 2%. But you can fill in any number you want … the point is we say there are 100 potential pitchers who throw 95, and in this scenario 50 of them will be good pitchers. OK, well, you’re the Pittsburgh Pirates. How many of those 50 do you think you’re going to get? You are competing against 29 other teams that also want guys who can light up the radar gun. The vast majority of those 29 teams have more resources than you do, more scouts poking and prodding those prospects, more money to sign them, more clout to draw them in, more status among players and their families and their agents.

So — my guess? You’re not getting any of those 50. Zero. Oh, you might get some of the 95-mph throwers who WILL NOT be good big league pitchers. And, sure, there’s a chance you could luck into one. But it would take luck. Best bet: A big fat zero.

No, look at the other side. There is much larger pool of pitchers to pick from who top out at 83 mph, or 81 or whatever. Say there are 500 of those. By this formula, 2 percent of them could pitch effectively in the big leagues — that would be 10 pitchers (maybe you don’t believe ANY of them will be good … we’ll get to that in a second). Now, you’re the Pittsburgh Pirates — what are the chances you would get any of those 10?

Well, again, I’m guessing here: But my feeling is that if you have decided to just stop looking at the 95 mph guys and focused ALL YOUR ENERGIES on these slow-throwing guys, well, I think the chances are pretty good that you would get some, most or even all of those 10 pitchers. Why? Because, generally speaking, other teams are not investing much effort in scouting people who top out at 83. They are not scouting those players, they are not making much effort sign those players, they’re not spending draft picks on those players. They simply do not VALUE those players. if you focus all of your effort on it — and you believe in what you’re doing — you will probably figure out which of those slow-throwers has the command, quirkiness, control or movement necessary to get big leaguers out. And if you choose to value command and quirkiness and control and utterly devalue the radar gun, you should be able to corner that market.

Now, there would be people who would say this is a pointless market to corner — that 83 mph pitchers is a dry well. Maybe that’s true. But MAYBE it’s not true. Maybe you can find a cool study that suggests an 83-mph fastball down and away is just as effective a pitch as an 94-mph fastball down and away. Maybe you can point to a collection of ineffective pitchers who can throw really hard (Exhibit A: The Kansas City Royals bullpen) and conclude that speed isn’t all that compelling when it comes to getting out big league hitters. Maybe you would do the math and find that the best slow-throwers would make a better staff than one filled with bottom-third hard-throwers.

Maybe. Look, this is only one idea, and nobody (and especially not Bill) is saying it’s a great idea. But what the heck, it COULD work. And if over the last decade you are the Pirates, the Royals, the Nationals, the Reds, the Orioles … what has worked for you?

What’s important about this is the idea that teams could adopt different strategies in order to change their future, but they often don’t. The same logic applies to fantasy baseball: in thinking about your draft strategies this year, it’s worthwhile to take the time to evaluate what your “normal” strategy is and to identify ways in which you can change it. Of course, we’ve got some ideas for you – our Draft Tool is the perfect way to kick your ass into a new way of thinking about your draft! Try it out for free here

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

April 29th, 2009

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

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

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

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

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

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

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!