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How to Analyze SGP Denominators from Different Sources

How to Analyze SGP Denominators from Different Sources

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Do you know if the SGP calculations you’ve done for your league are accurate?

Are you concerned that your home run SGP denominator is 8.87 and Larry Schechter’s book Winning Fantasy Baseball suggests using 5.93 for a 12-team league? Or that your RBI calculation shows 22.31 and the 12-team NFBC history I just calculated shows 19.55?

What does this all mean? Will your rankings be accurate? How can they be when your denominators seem significantly different than those you see elsewhere?

Calm Down, These Numbers Are More Consistent Than You Realize

I know. You’re wondering how on Earth I can say that. How can a HR denominator of 8.87 be consistent with one of 5.93?

To be honest, I’ve had those same fears about SGP. I feel so scientific and strategic by calculating SGP. And then I look at my denominators in comparison to what I see published elsewhere and that confidence evaporates and is replaced with doubt.

In this post I’m going to share an important realization I just had about SGP (yep, I’m still learning too), show you how to properly compare your SGP denominators to different resources, and demonstrate that the dollar values calculated by different sets of denominators are more similar than you would believe. When we’re done here, I think we’ll all feel a lot more comfortable about things.

Story Time

This story starts with me calculating the SGP for the last three seasons of NFBC leagues (which make their standings information publicly available).

I read Winning Fantasy Baseball a couple years ago (if you haven’t read it and you’re about to read 2,500 words on SGP denominators, you really should get the book), and I vaguely remembered the book giving SGP denominators for a variety of league types. I wanted to verify that my findings were similar to Schechter’s.

Here’s what I found:

Source BA R HR RBI SB
2015 12-team NFBC Online Championship 0.00180 19.92 8.43 19.55 7.59
Winning Fantasy Baseball 12-team League 0.00165 15.52 5.93 16.30 5.93

Damn. WTF does this mean? Those don’t look close to me. Did I do something wrong?

A Very Important Point

As I looked more closely at the book, I noticed I missed a very important point the first time I read it. Next to each number, Schechter had calculated a “relative SGP value”.

SGP Type BA R HR RBI SB
Raw SGP Denominator 0.00165 15.52 5.93 16.30 5.93
Relative SGP Denominator n/a 1.05 2.75 1.00 2.75

And here’s the important point Schechter makes about these calculations:

… when you’re trying to adjust SGPs for leagues of various sizes, it’s important to realize that the raw value of the SGP isn’t very important, but rather the ratio of the values.

~ Larry Schechter, Winning Fantasy Baseball

Mine Is Bigger Than Yours Is

I glossed over that red bolded sentence on previous reads (because it’s not bolded red in the book…). But this small statement buried in the middle of the 350-page book is exactly the point I needed for the self-doubt I was experiencing.

So in order to hopefully save you the same trouble, take note! You can’t compare your SGP denominators to someone else’s. You have to convert them to a relative scale first.

Raw Versus Relative – An Example

Let’s focus in on just the HR and RBI stats from the table above.

SGP Type HR RBI
Raw SGP Denominator 5.93 16.30
Relative SGP Denominator 2.75 1.00

If it takes 16.30 RBI and 5.93 homers to move up the standings, this essentially means that one home run is 2.75 times more important than one RBI (home runs are more scarce, so getting one of those is more valuable than the more common commodity, RBI).

16.30 / 5.93 = 2.75

Do you remember working with fractions in elementary school? I liken this practice to that whole “lowest common denominator” charade we had to go through. Dropping the SGPs to a relative scale is like converting them to a lowest common denominator. If you leave the SGP factors grossed up at these high numbers (like 5.93 and 16.30), it’s more difficult to see the relationships you can see when they’ve been translated into the relative scale.

One More Math Concept

If you read Using Standings Gain Points to Rank and Value Fantasy Baseball Players or if you’re generally familiar with the SGP approach, you know that we would divide a player’s home run total by the home run “SGP denominator” to know how many SGP the player contributes due to his homers.

For example, if a player is projected by 30 home runs, an SGP denominator of 5.93 would indicate the player’s homers are worth 5.1 points in the standings (30/5.93=5.1). If the same player is projected for 83 RBI, an SGP denominator of 16.30 suggests the RBI are also worth 5.1 SGP (83/16.30=5.1). The 30 HR are worth the same as 83 RBI (5.1 SGP).

However, the way Larry Schechter has calculated his relative SGP would require you to multiply a player’s stats to achieve that same equality. For example, the 30 HR multiplied by 2.75 is 83 “points”. The 83 RBI multiplied by 1.00 is also 83 “points”. The 30 HR are worth the same as 83 RBI (83 relative SGP).

For Consistency, I Will Calculate Relative SGP Another Way

If you look back at the big bolded numbers above, Larry Schechter used the largest statistic (RBI for hitters and K for pitchers) as the numerator in his conversion. I will use it as the denominator.

5.93 / 16.30 = 0.364

I’m mostly doing this because everything I’ve written about SGP to this point tells you to DIVIDE BY THE SGP DENOMINATOR (heck, it’s called a denominator, meaning it’s on the bottom of the fraction). To now tell people to MULTIPLY BY THE RELATIVE SGP DENOMINATOR seems too confusing to me.

I’m sure I’ve confused the hell out of everyone at this point either way. And I apologize for this. But I think this topic is very important to understand. I’m giving it my best! Even if you’re confused, keep reading. I think this will all pull together very nicely in the end.

Going back to our example of a player with 30 HR and 83 RBI, if I divide by an SGP denominator of 0.364 I get that same 83 “points” (forgive the rounding), meaning the 30 HR are worth the same as the 83 RBI under this approach. So whether you use Schechter’s relative numerator and multiply or my relative denominator and divide, you get the same results.

How to Calculate “Relative” SGP Denominators

I’ve talked a lot about multiplying and dividing. So just to be clear, to put your SGP denominators on the same relative scale, choose the category with the largest numeric value, then divide each stat categories raw SGP denominator by that largest raw SGP denominator.

The largest numeric denominator is typically RBI for the hitting categories (the 16.30 from above is the largest SGP denominator) and strikeouts for pitching.

For the rest of this post I will be using this calculation of relative SGP denominators and NOT the way suggested in Winning Fantasy Baseball.

My NFBC Relative Versus Winning Fantasy Baseball’s 12-team Relative

Using the method described above, I calculated the relative denominators for Larry Schechter’s 12-team suggestions and my 2015 NFBC findings. Here are the results:

WINNING_FANTASY_BASEBALL

First look at the white lines. These give me that queasy feeling I was describing earlier. He’s saying 5.93 HR for a 12-team league? And I came up with 8.43? That’s 2.5 HR difference. How can these suggestions even be in the same ballpark?

Now look at the yellow-shaded lines. After everything is put on the same scale things look a lot more reasonable. When you look at all items on a relative scale, you can see many of the categories are strikingly similar (BA, R, RBI, SB, K, SV), but still show small variations. There is some variance in the other categories, but things don’t look as stark as with the raw denominators. This supports our beliefs about SGP being able to “tailor” to our league tendencies and preferences, but still leaves me feeling a lot more comfortable that my denominators are in fact closer to Larry Schechter’s than it appears on the surface.

Right around this time I’m starting to feel more comfortable with my analysis. But I’m also very curious about what happens if I start looking at SGP denominators from other sources. So I set out to find as many sources as I could find.

NOTE: After publishing this article, it came to my attention that there’s a typo in Winning Fantasy Baseball that makes this last segment somewhat less relevant. I’ve elected to keep it in despite this.

Other SGP Denominator Sources

The reliable sources I was able to locate for this analysis are:

Not bad. I was able to scrape up 13 different resources for comparison. And I threw in the average of those 13 resources as my 14th.

Here’s the Raw SGP Data

You can see things are all over the map. You can see general patterns, but the data fluctuates wildly. Some of the raw SGP denominators are almost double others. For example, Larry Schechter’s 12-team HR denominator is 5.93 while Razzball’s 2012 article calculated a 10.40!

And Here’s the Relative SGP Data

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Are Hitter SGPs Directly Comparable to Pitcher SGPs?

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I recently got an e-mail from a reader of the site (thanks Brad!), asking an interesting question. He was working through creating his own standings gain points rankings and tailoring them for his custom league.

How do I bring Losses into the SGP calculation? If I do make losses a negative, how would I make the pitcher and hitter SGP numbers apples-to-apples?

You might realize that he actually has the correct answer, but it didn’t make sense at first because he wanted to keep hitter and pitcher SGP comparable.

Losses Are an Inverse Category

Losses, like ERA and WHIP, is a category where the goal is to have the lowest total. So the answer is to make the SGP factor a negative number.  If you think about how we calculate SGP factors, we’re really trying to find the slope, or line of best fit, to our historical standings data.

Stolen_Bases_SGP
Example SGP slope calculation.

Traditional categories like Ws and Ks have a line with a positive slope (slanting up and to the right on your high school math class x- and y-axis).  The higher the number of Ws on the x-axis, the more points you get in the standings on the y-axis.

The slope of a graph plotting out Losses would be downward sloping.  The more Ls on the x-axis, the lower the standings points reflected on the y-axis.

So Brad had the right answer, but he was afraid that adding in another inverse pitching category was going to destroy his ability to compare hitter and pitcher SGPs.

The Real Reason We’re Here

I realize you didn’t come here for me to take you back to basic math class.  The real question is, can you take a pitcher who is projected for 4 SGP and say he’s a better draft selection than a hitter projected for 3.8 SGP? (more…)

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How Does a Player's Age Affect Draft Return?

How Does a Player’s Age Affect Draft Return?

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A few weeks back I took a closer look and analyzed the last five years of preseason Steamer projections (what I’m using as my best approximation of the “draft value” of each player heading into the season) and compared them to the actual end of season dollar values earned by those same players.

One of the glaring omissions in that article was some kind of analysis by age.  Are there certain age groups that might be undervalued?  Better yet, are there certain age groups of hitters we can take advantage of and a separate age group of pitchers we can jump on?

If we are trying to decide between a $20 pitcher who’s 23 years old or a $20 pitcher who’s 33 years old, who should we choose?

Quick Reminders

I’d highly recommend reading the first article that started me down this road.  There’s a greater explanation of the approach used.  But for a quick reminder… the dollar values are based on a standard 12-team league using traditional rosters (2 catchers, 14 hitters, 9 pitchers) and the standings gain points approach.

I also calculate return “including losses” and “without losses”.  The best way to think about this is with a pitcher suffering a terrible injury in the first month of the season.  Being injured that early, regardless of how good the pitcher is, will result in negative earnings.  But the “benefit” of an injured pitcher is that you can immediately drop them and not suffer any of those negative earnings.

The flip side of that coin is with a struggling pitcher.  You may decide to stick with a struggling pitcher for weeks or months, hoping for them to turn it around.  In this scenario you are saddled with many of the negative earnings for that player.  So the actual “return” on players lies somewhere between the “including losses” and “without losses” results.

Draft Results By Player Age

Take a look at the “Including Losses” and “Without Losses” charts below.  Does anything jump out at you?

RETURN_BY_AGE_WITH_LOSSES (more…)

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Analyzing the Last Five Years of Rotisserie Baseball Drafts

Analyzing the Last Five Years of Rotisserie Baseball Drafts

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How many of the top hitters and pitchers at the end of the year were actually drafted? How many of the top hitters and pitchers were not drafted and were picked up during the season?  Were hitters or pitchers drafted more accurately?  What is the dollar value earned by the players that were picked up during the season?  Is there a position of hitter that’s more reliable than other positions?

Have you ever asked yourself draft analysis questions like these?

What follows is a five year analysis (with colorful graphs and an enormous Excel file!) of how accurately our projections in the preseason depict what has actually happened at the end of the season. How well we drafted.  What positions yield the best returns.  What positions offer the most free loot.  And more.

Assumptions You Should Know

A number of the graphs depend on dollar value earnings for the “top 168” projected hitters or “top 108” projected pitchers.  The dollar values are calculated using the approach documented in “Using Standings Gain Points to Rank and Value Fantasy Baseball Players” assuming a 12-team league, $260 team budget, 14 hitters (C, C, 1B, 2B, SS, 3B, CI, MI, OF, OF, OF, OF, OF, UTIL), 9 pitchers, and a 70%-30% hitter-to-pitcher allocation.  That’s a total of 168 hitters and 108 pitchers.

These top projected players in the preseason were determined using Steamer’s preseason projections for that season (I downloaded the historical projections here).

I suppose using ADP results or expert rankings from the given year might give a better picture of the players that were actually drafted, but then you get into the question of what’s good ADP data, where to get it, what experts to use, league differences, lineup differences, etc.

To Be Clear…  The Goal of this Study

The goal of this is not to measure the accuracy of particular experts.  It is to determine which positions can we draft and get the most return on our investment.  To some extent this is a review of Steamer’s accuracy, but that’s also not my intent.  It’s my understanding (tell me if I’m wrong) that there are not significant differences between the top projections systems.  So whether we were looking at PECOTA, Steamer, or Marcel projections, we would see similar results.

How Much of a Return Do We Get For Drafting HItters vs. Pitchers?

People have long been telling us to, “Load up on hitters early in the draft”.

“Don’t overspend on pitching.”

“Wait on pitching until most teams already have one.”

I’ve always heard these things.  They sounded right.  But I can’t say I’ve ever seen the data to support it.

In looking at the chart below it is very clear that we are much better at identifying the top hitters than the top pitchers.  The top 168 hitters in the preseason provide about 70% of the dollars earned at the end of the season.  For pitchers, it’s more in the neighborhood of 40%.

With results like that it’s very easy to see why the hitter-pitcher split is not 50-50.

Hitters are safer investments than pitchers.  We’ve always been told this, but now you can see it.  And things have not changed in the new era of pitching that we’ve been seeing the last few years.  If anything, the gap seems to have widened.

Hitter-Pitcher-Draft-Returns-With-Losses
In a draft and hold environment, the return on investment for drafting hitters fluctuates between 65% and 80%. The return on pitchers is much lower, falling roughly between 30% and 50%.

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How To Evaluate a Trade Using Standings Gain Points

How To Evaluate a Trade Using Standings Gain Points

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In this video I’ll show you how to add a Trade Evaluator into your existing rankings spreadsheet.

Here’s an animated image demonstrating the finished product.  This spreadsheet will pull in all the Rest of Season projections for a player, their total SGP to be earned the rest of the season, and the player’s dollar value (provided you’ve added dollar value calculations to your sheets).

TradeEvaluator

I’ll also show you a practical example and explain a few important things to think about when considering trade offers.

The video is roughly 30 minutes long, but keep in mind that just about everything you create by following the guides on this site are long-term in nature.  With a little bit of maintenance, all of these tools can be used all season long AND into future seasons.

The Step-By-Step Process

I start with a spreadsheet that has already been updated with RoS Projections.  I then show you how to add a tab just to evaluate trades and other roster decisions.  We’ll add drop down menus that pull each player’s statistics, dollar value, and SGPs.

This information will enable you to add clarity to all your roster moves.  No more using your gut to analyze a 2-for-3 player trade involving hitters and pitchers.  You’ll be able to see exactly which side of the offer is better.

If you’re new to the site, I would suggest getting familiar with How To Create Your Rankings Using Standings Gain Points.

A Quick Suggestion

WatchVideoDoubleSpeedIf you’re looking for a way speed things up by watching them 1.5 or 2 (double)  speed, cutting down the time it takes to watch significantly.  Just adjust the settings at the bottom of the video player.  Click the cog and change the “Speed to 1.5 or 2.

I also recommend watching the videos in HD.  A lot of the detail in Excel can only be seen well in 720p or higher.

And a Disclaimer

I created this video using Prince Fielder, Jose Abreu, Billy Hamilton, and Ian Kinsler in an example trade.  News that Fielder is facing season-ending surgery came out the next day!  I apologize for this glaring problem with the example, but hope you can still see the power of using a tool like this to evaluate trades and free agency acquisitions.

Here’s The Video

Thanks for Watching

Stay smart.

Questions?  Comments?  Future Video Ideas?

Let me know in the comments below.

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How To Use SGP To Rank and Value Players During the Season - Part 6 - Adjust Replacement Level

How To Use SGP To Rank and Value Players During the Season – Part 6 – Adjust Replacement Level

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Welcome to the final part of the series in which we go through the process of plugging Steamer’s Rest of Season (RoS) projections into your existing ranking/dollar value spreadsheet so you can make informed and objective roster decisions during the season.

If you register as an SFBB Insider (it’s free), you can receive the entire series in an easy-to-use e-book (also free) along with two other helpful guides.  I’ve also written a comprehensive guide on ranking players and calculating player dollar values that’s available at Amazon.

Introduction

In this sixth part of the series we will revisit the concept of replacement level and adjust replacement level for our updated RoS projections.

Reminders About Replacement Level

If you’re new to the concept of replacement level read the introduction here (don’t go into the “Step-by-Step Instructions”.  When you consider the injuries that occur in Major League Baseball, rookies being called up, players underperforming projections, and others exceeding projections, the player pool is constantly changing.

In order to make the best possible decisions and to calculate representative dollar values, it is very important that we update the estimate of replacement level.

Caution:  No Further Adjustments Necessary

When listening or reading fantasy advice, you might come across a piece of advice that goes something like this, “You really need to draft a SS early to account for the lack of depth at the position.  Go ahead and reach for that shortstop.”

Don’t listen to that advice when you’re using the approach we’re now going through.  The replacement level adjustment that follows is already calculating the effect of depth at each position.  And it does it mathematically.  There is no guesswork going on here.

DON’T MAKE ANOTHER ADJUSTMENT.

You do not need to make an arbitrary adjustment to shortstops or catchers, or any other position.  When you have added this adjustment to your rankings, each player will be ranked according the their value over the worst players at the position.  If the position is weak, that’s accounted for.  If the position is deep, it’s accounted for.

If you then decide to make arbitrary adjustments to your rankings after adding in the replacement level calculation, YOU ARE DOUBLE COUNTING.

You will be reaching for players and you will be hurting your team.  Don’t “bump” players up a list because of their position.

Step-By-Step Instructions

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How To Use SGP To Rank and Value Players During the Season - Part 5 - Update the Player ID Map

How To Use SGP To Rank and Value Players During the Season – Part 5 – Update the Player ID Map

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Welcome to the fifth part in a series of posts in which I’ll go through the process of plugging Steamer’s Rest of Season (RoS) projections into your existing ranking/dollar value spreadsheet so you can make informed and objective roster decisions during the season.

If you register as an SFBB Insider (it’s free), you can receive the entire series in an easy-to-use e-book (also free) along with two other helpful guides. I’ve also written a comprehensive guide on ranking players and calculating player dollar values that’s available at Amazon.

Introduction

In this fifth part of the series we discuss updating the Player ID Map to pull new players into the rankings information.

Player ID Map

The SFBB Player ID Map contains the Fangraphs, MLB, Baseball-Reference, Retrosheet, CBS, NFBC, ESPN, Baseball Prospectus, Davenport, and Yahoo player IDs for over 1,200 players.  It’s not a comprehensive list of past players by any means, but I make a concerted effort to have all current fantasy-relevant MLB players and those minor league players likely to make a fantasy impact this season.

PlayerIDMap

To give credit where credit is due, I originally downloaded the player map from Crunchtimebaseball.com and tailored it to meet my needs.  CrunchTimeBaseball is run by Tim Blaker.  He continues to maintain his own map of player IDs and generally keeps his more up-to-date than I do.  You can obtain his version here.

Why Update the Player ID Map

April inevitably brings us players that were never intended to be fantasy relevant; minor leaguers that were not anticipated to make the jump, role players thrust into starting jobs, and more.  As the summer rolls on, impact rookies begin to get called up that may not have been in the preseason Player ID Map.  When September arrives there will be more of the same.

While it is possible to add individual players to the player ID map, it can be inefficient to add more than a handful.  Updating the entire list is probably easier.

Step-By-Step Instructions

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How To Use SGP To Rank and Value Players During the Season - Part 3 - Delete Old Info and Insert New RoS Projections

How To Use SGP To Rank and Value Players During the Season – Part 3 – Delete Old Info and Insert New RoS Projections

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Welcome to the third part in a series of posts in which I’ll go through the process of plugging Steamer’s Rest of Season (RoS) projections into your existing ranking/dollar value spreadsheet so you can make informed and objective roster decisions during the season.

If you register as an SFBB Insider (it’s free), you can receive the entire series in an easy-to-use e-book (also free) along with two other helpful guides. I’ve also written a comprehensive guide on ranking players and calculating player dollar values that’s available at Amazon.

Introduction

In this third part of the series we will remove the old (preseason) projections from our spreadsheet and paste in the new information.  It sounds simple, but there are a few tricks to be aware of.

Step-By-Step Instructions

(more…)

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How To Calculate Auction Dollar Values and Account For Inflation

How To Calculate Auction Dollar Values and Account For Inflation

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smartfantassybb_3d-500x635I’m very happy to announce that I’ve just finished the “missing pieces” to the “Create Your Own Fantasy Baseball Rankings” guide.

Parts 1 – 6, that walk you through the process of developing a league-specific ranking for each hitter and pitcher, will continue to be freely available here.

A fully comprehensive guide that includes calculating dollar values and incorporates calculations for keeper and in-draft inflation is available here.

This guide now goes up to 10 Parts:

  • Part 1 – Download Free Projection Data
  • Part 2 – Understanding Player IDs
  • Part 3 – VLOOKUP, Excel Tables, Named Ranges
  • Part 4 – Pitcher Rankings
  • Part 5 – Understanding Standings Gain Points
  • Part 6 – Accounting for Replacement Level and Position Scarcity
  • Part 7 – Understanding The Hitter/Pitcher Dollar Allocation
  • Part 8 – Converting SGPs into Hitter Dollar Values
  • Part 9 – Converting SGPs into Pitcher Dollar Values
  • Part 10 – Incorporating In-Draft Price Inflation and Keeper League Inflation

I’m very proud of this guide and believe it to be the best step-by-step guide to ranking players and calculating dollar values available anywhere.

Please click here to read all about the additions to the guide and how to purchase your copy.

Thanks For Reading

Good luck, as we approach draft season!  Stay smart.

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