How to Handle Different Categories: OBP
Because the standard roto format uses batting average, most analysis, rankings, and projections are based on that and the other standard roto categories. If your league uses additional categories or replaces traditional categories with new ones like average being replaced by OBP, you’re can’t just rely on the normal analysis and cheat sheets provided by fantasy sites. You’re going to have to do a little bit of extra work. The purpose of this post is to aid those playing in leagues in which OBP has replaced average as a category.
When OBP replaces average, you can’t simply look at the guys who have the best OBPs to determine who gains an advantage in this format. What really matters is the difference between OBP and average. To determine when the difference becomes significant, I created a spreadsheet with all qualified hitters from the last three years with their OBP and average. Then I calculated the difference between those numbers, the mean and the standard deviation for the differences. The mean was .068 and the standard deviation was .02. I then sorted the differences large to small and cut out all players that were within one standard deviation of the mean. Below are the lists of players who were more than one standard deviation from the mean.
| Name | AVG | OBP | Difference |
|
Two Standard Deviations or More Above the Mean |
|||
| Carlos Pena | 0.206 | 0.337 | 0.131 |
| Jose Bautista | 0.271 | 0.4 | 0.129 |
| Daric Barton | 0.249 | 0.369 | 0.12 |
| Adam Dunn | 0.212 | 0.33 | 0.118 |
| Prince Fielder | 0.291 | 0.409 | 0.118 |
| Lance Berkman | 0.275 | 0.391 | 0.116 |
| Carlos Santana | 0.247 | 0.363 | 0.116 |
| Joey Votto | 0.321 | 0.434 | 0.113 |
| Mark Reynolds | 0.213 | 0.326 | 0.113 |
|
One Standard Deviation or More Above the Mean |
|||
| Kevin Youkilis | 0.264 | 0.372 | 0.108 |
| Josh Willingham | 0.257 | 0.361 | 0.104 |
| John Jaso | 0.256 | 0.36 | 0.104 |
| Chase Utley | 0.264 | 0.367 | 0.103 |
| Ben Zobrist | 0.259 | 0.359 | 0.1 |
| Alex Avila | 0.26 | 0.358 | 0.098 |
| Carlos Quentin | 0.251 | 0.349 | 0.098 |
| Todd Helton | 0.27 | 0.366 | 0.096 |
| Brett Gardner | 0.269 | 0.365 | 0.096 |
| Travis Hafner | 0.267 | 0.363 | 0.096 |
| David Ortiz | 0.296 | 0.391 | 0.095 |
| Dan Uggla | 0.248 | 0.343 | 0.095 |
| Russell Martin | 0.231 | 0.326 | 0.095 |
| Mark Teixeira | 0.252 | 0.347 | 0.095 |
| Shin-Soo Choo | 0.284 | 0.378 | 0.094 |
| Jayson Werth | 0.271 | 0.365 | 0.094 |
| Mike Napoli | 0.261 | 0.355 | 0.094 |
| Rickie Weeks | 0.255 | 0.349 | 0.094 |
| Dexter Fowler | 0.275 | 0.367 | 0.092 |
| Nick Swisher | 0.274 | 0.366 | 0.092 |
| Jonny Gomes | 0.249 | 0.34 | 0.091 |
| Geovany Soto | 0.234 | 0.325 | 0.091 |
| Jason Heyward | 0.261 | 0.352 | 0.091 |
| Matt Joyce | 0.256 | 0.347 | 0.091 |
| Curtis Granderson | 0.247 | 0.337 | 0.09 |
| Evan Longoria | 0.275 | 0.365 | 0.09 |
| Logan Morrison | 0.25 | 0.339 | 0.089 |
| Chipper Jones | 0.276 | 0.365 | 0.089 |
| Chris Young | 0.243 | 0.331 | 0.088 |
| Name | AVG | OBP | Difference |
|
One Standard Deviation or More Below the Mean
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|||
| Jonathan Lucroy | 0.279 | 0.326 | 0.047 |
| Ronny Cedeno | 0.254 | 0.301 | 0.047 |
| Vernon Wells | 0.244 | 0.291 | 0.047 |
| Jeff Keppinger | 0.296 | 0.341 | 0.045 |
| Melky Cabrera | 0.303 | 0.348 | 0.045 |
| J.J. Hardy | 0.256 | 0.3 | 0.044 |
| Erick Aybar | 0.274 | 0.317 | 0.043 |
| Mark Trumbo | 0.259 | 0.302 | 0.043 |
| Michael Young | 0.299 | 0.341 | 0.042 |
| Adam Jones | 0.284 | 0.326 | 0.042 |
| Daniel Murphy | 0.302 | 0.344 | 0.042 |
| Ian Desmond | 0.271 | 0.313 | 0.042 |
| Darwin Barney | 0.263 | 0.305 | 0.042 |
| Alcides Escobar | 0.262 | 0.304 | 0.042 |
| Howie Kendrick | 0.284 | 0.325 | 0.041 |
| Carl Crawford | 0.283 | 0.324 | 0.041 |
| Ben Revere | 0.278 | 0.319 | 0.041 |
| Rajai Davis | 0.263 | 0.304 | 0.041 |
| Alex Rios | 0.273 | 0.313 | 0.04 |
| Danny Valencia | 0.257 | 0.297 | 0.04 |
| Starlin Castro | 0.297 | 0.336 | 0.039 |
| Adrian Beltre | 0.314 | 0.353 | 0.039 |
| Chris Johnson | 0.279 | 0.318 | 0.039 |
| Miguel Tejada | 0.259 | 0.298 | 0.039 |
| A.J. Pierzynski | 0.278 | 0.316 | 0.038 |
| Alexei Ramirez | 0.272 | 0.31 | 0.038 |
| Alex Gonzalez | 0.247 | 0.285 | 0.038 |
| Vladimir Guerrero | 0.295 | 0.332 | 0.037 |
| Ichiro Suzuki | 0.29 | 0.326 | 0.036 |
| Orlando Cabrera | 0.251 | 0.286 | 0.035 |
| Omar Infante | 0.289 | 0.323 | 0.034 |
| Delmon Young | 0.278 | 0.311 | 0.033 |
| Miguel Olivo | 0.239 | 0.271 | 0.032 |
| Mike Aviles | 0.27 | 0.302 | 0.032 |
| Jose Lopez | 0.236 | 0.265 | 0.029 |
|
Two Standard Deviations or More Below the Mean |
|||
| Yuniesky Betancourt | 0.251 | 0.275 | 0.024 |
As you can see on the “good” list, there are a lot of high profile hitters with great OBPs not listed. Guys like Adrian Gonzalez, Buster Posey, Ryan Braun and many others aren’t on the “good” list because they already have good batting averages and thus don’t get a bump in an OBP format.
As mentioned, most rankings and analysis are based on the assumption of batting average as a category. My own personal rankings and projections are as well because that’s the format that I, and most readers, play in. For my projection system I use something I call roto rating. The idea is fairly straightforward. I project all hitters in each of the five standard roto categories and then I assign them a value for each category on a scale of 1-10. The scale is created by creating ten tiers for each category.
I took the 200 hitters from last year with the most plate appearances (this being roughly the number of hitters usually drafted in a standard 12-team league) and created the tiers based on that list. For example, there were 20 hitters who had a batting average above .307 last year and the next 20 hit between .292 and .306. If I projected a guy to hit .307 or better, I assigned him ten points for average. If I projected a guy to hit between .293 and .306, I assigned him nine points. And so on and so forth. After I did that for each category, I added up all the points and gave each guy a roto rating (You can see my top 200 here).
To determine how much of a bump to give or how much to knock a hitter down in an OBP league, I created tiers for OBP. Below are the tiers I used for average and OBP.
|
Pts |
OBP |
Pts |
AVG |
|
| 10 | .370 or higher | 10 | .307 or higher | |
| 9 | .361-.369 | 9 | .293-.306 | |
| 8 | .349-.360 | 8 | .286-.292 | |
| 7 | .341-.348 | 7 | .275-.285 | |
| 6 | .334-.340 | 6 | .270-.274 | |
| 5 | .327-.333 | 5 | .260-.269 | |
| 4 | .322-.326 | 4 | .250-.259 | |
| 3 | .313-.321 | 3 | .241-.249 | |
| 2 | .303-.312 | 2 | .229-.240 | |
| 1 | .302 or lower | 1 | .229 or lower |
From there I could compare where a guy fell in the average tiers to where he fell in the OBP tiers and adjust my rankings accordingly. Below are the guys listed previously, this time with the number of points they would have gained or lost in my “roto rating” system.
| Name |
Points Change |
Name |
Points Change |
|
| Jose Bautista |
6 |
Delmon Young |
-5 |
|
| Daric Barton |
6 |
Mike Aviles |
-5 |
|
| Carlos Santana |
6 |
Ben Revere |
-4 |
|
| Josh Willingham |
5 |
Chris Johnson |
-4 |
|
| Lance Berkman |
5 |
A.J. Pierzynski |
-4 |
|
| Kevin Youkilis |
5 |
Alexei Ramirez |
-4 |
|
| Joey Votto |
4 |
Ichiro Suzuki |
-4 |
|
| Adam Dunn |
4 |
Vladimir Guerrero |
-4 |
|
| Carlos Pena |
4 |
Omar Infante |
-4 |
|
| Prince Fielder |
4 |
Yuniesky Betancourt |
-4 |
|
| John Jaso |
4 |
Jonathan Lucroy |
-3 |
|
| Chase Utley |
4 |
Mark Trumbo |
-3 |
|
| Ben Zobrist |
4 |
Erick Aybar |
-3 |
|
| Carlos Quentin |
4 |
Adam Jones |
-3 |
|
| Brett Gardner |
4 |
Ronny Cedeno |
-3 |
|
| Travis Hafner |
4 |
J.J. Hardy |
-3 |
|
| Dan Uggla |
4 |
Ian Desmond |
-3 |
|
| Mark Reynolds |
3 |
Darwin Barney |
-3 |
|
| Rickie Weeks |
3 |
Alcides Escobar |
-3 |
|
| Matt Joyce |
3 |
Carl Crawford |
-3 |
|
| Alex Avila |
3 |
Rajai Davis |
-3 |
|
| David Ortiz |
3 |
Alex Rios |
-3 |
|
| Shin-Soo Choo |
3 |
Starlin Castro |
-3 |
|
| Jonny Gomes |
3 |
Howie Kendrick |
-3 |
|
| Todd Helton |
3 |
Danny Valencia |
-3 |
|
| Mark Teixeira |
3 |
Miguel Tejada |
-3 |
|
| Jayson Werth |
3 |
Orlando Cabrera |
-3 |
|
| Mike Napoli |
3 |
Jose Lopez |
-3 |
|
| Nick Swisher |
3 |
Vernon Wells |
-2 |
|
| Jason Heyward |
3 |
Jeff Keppinger |
-2 |
|
| Curtis Granderson |
3 |
Daniel Murphy |
-2 |
|
| Chris Young |
3 |
Melky Cabrera |
-2 |
|
| Russell Martin |
2 |
Michael Young |
-2 |
|
| Evan Longoria |
2 |
Alex Gonzalez |
-2 |
|
| Dexter Fowler |
2 |
Miguel Olivo |
-2 |
|
| Geovany Soto |
2 |
Adrian Beltre |
-2 |
|
| Logan Morrison |
2 |
|||
| Chipper Jones |
2 |
Just to give this a little perspective, any player going after the first few rounds would go up or down about a round for each two points gained or lost. For the guys going in the first two rounds, the changes in value are a little smaller. On the good side of things, Jason Heyward probably becomes a no-doubt second round pick if he wasn’t already there for you, Prince Fielder and Jose Bautista become sure-fire first rounders, and Joey Votto is the clear #4 pick behind the big three and might even be worth drafting ahead of some of the big three depending on how high you were on Votto to being with. When I calculated the mean and standard deviation for OBP, Votto’s OBP came in at more than four standard deviations above the mean. On the “bad” side of things, Adam Jones goes from a late third/early fourth option to a late fourth/early fifth option, Adrian Beltre goes from a late second/early third to a fourth rounder, and Starlin Castro goes from a fourth to a late fifth or sixth rounder.
You can find more of Brett's work on TheFantasyFix.com or follow him on Twitter @TheRealTAL.
Very informative post. We play in a 14 team OPS league and I ended up with quite a few of these guys Votto,Heyward,Zobrist,Weeks, Alex Gordon etc. I feel pretty good about it. This should help guys in OBP/OPS leagues. Thanks!
Thanks, Andrew.
I hope OBP leagues gradually become the norm.
Can you further explain why the difference between obp and avg matters as opposed to purely the obp number? If a players historical obp is .330, why do i care what component is derived from bb% versus avg?
I mean if im evaluating two players with a .330 obp, with all else equal, why do i care if one has a .300 avg and .30 from bb% versus one who hits .290 and picks up .40 from bb%?
Thanks
I believe the intent was to highlight guys that may be undervalued while others in your league are basing their picks off standard 5×5 rankings that include AVG.
Of course the pure OBP number is the bottom line, but the point was to show differences between BA and OBP because 99% of fantasy baseball literature you come across ranks hitters purely according to BA. Exploiting those differences is where you might be able to find an edge if your leaguemates aren’t paying attention. So for example if you were to let the computer pick your team based on default rankings, you would most likely suffer pretty badly in the OBP department.
Yeah, Ian and Michael are spot on. The idea was that most people are presumably using rankings based on projections for the five standard roto categories. If you found rankings for an OBP league or if you made your own rankings based on OBP, this post wouldn’t be for you. But I think most rankings/cheat sheets out there that people use aren’t based on OBP. This post was intended to help you identify the guys you should move up and down those cheat sheets so that you don’t have to search for or create completely new rankings.
thanks brett
Yuniesky Betancourt really is in a league of his own.
LOL indeed he is. I almost took him off the list because no one really needs to be told that he sucks. But I just thought it was amusing.
Surprised that Adam Eaton doesn’t show up in this analysis. He seems to be creeping up draft boards, but I still like him as a late round pickup for steals+OBP.
Nevermind. (Qualified hitters from the last three seasons)
Yeah, I could have widened the sample some, but even if I had done that, I doubt I would have widened it enough to include Eaton. But yes, he’s a good OBP guy. I pretty much like him in every format this year. Great late round add.
Wow… this article was really well done. This is exactly the reason why I come to fangraphs again and again. Keep up the solid work.
Thanks, really appreciate you saying that.
Really great work on this, Brett. My league uses OBP and SLG instead of AVG, and every year it’s such a (minor) headache for me to suss out rankings based on AVG. This is the best and most helpful article I’ve ever read. Thank you!
Thanks! Glad it was helpful. Will be doing a couple more articles like this next week on SLG replacing HR and QS replacing W + K/9 replacing Ks.
That’s fantastic news! I was just about to ask about SLG and K/9. Thank you!
Miles, here is a link to my piece on slugging: http://www.thefantasyfix.com/2013/03/how-to-handle-different-categories-slugging-percentage/
Wow. Wherever did you learn how to do such impressive statistical analysis? You must have a pretty gifted teacher. Now tits or GTFO.
Actually one of my jobless friends was the one who helped me most with this article.
Well, technically I don’t have a job either, so I’ll assume you’re referring to me.
Our league includes AVG and OPS. I’ve been toying with the idea of Votto at 4th. You say he is the clear #4 in an OBP league, but what about an AVG and OPS league? I think he may still be #4 (it’s not as if his AVG or SLG are lacking).
Also, great article. I agree with the other commenters, this was extremely helpful. Especially since my draft is tomorrow!
Thanks, Bobby. Yeah I’d have Votto as a clear #4 in that format, but not in the discussion to go ahead of any of the big three. Votto led the league in OPS last year and was about three standard deviations above the mean in that category, so he gets a huge boost when you add that category. I had him just behind Kemp and virtually tied with Pujols in my traditional 5×5 ranks, but he’s quite a bit better than Pujols with OPS and a touch better than Kemp as well.
Good work Brett. Don’t forget to thank your old man for giving you the love of the game
This article is FANTASTIC. My main league uses OBP instead of AVG, and I love it. Too bad we finished our draft this week! Please do this again in future seasons, and do it earlier, if possible.
Also, any OBP-related articles throughout the season (especially anything that discusses possible OBP of guys getting called up) Would be great.
Great work. More OBP please!
If anyone is interested, here is the link to my piece on leagues that replace HR with slugging percentage: http://www.thefantasyfix.com/2013/03/how-to-handle-different-categories-slugging-percentage/
Awesome. Any other articles coming out soon?
Unfortunately, not on this topic. I have other assignments from both sites I right for on Thursday and Friday. Really wanted to do some stuff on extra pitching cats. But I’ll start the series sooner next year.
No worries. Thanks for the offerings!
I’m in a 12 team 5×5 H2H keeper league and I’m trying to decide who to keep. This is late, but drafts at 445pm CST tomorrow. I’m trying to decide my four keepers and have five possible players. After seeing this about Adam Jones, I don’t know whether to keep him or Ryan Zimmerman, and I have 2 other OFs.
1. Giancarlo Stanton
2. Carlos Gonzalez
3. Troy Tulowitzki
4. Adam Jones
5. Ryan Zimmerman
If you have any advice in this situation, I’d appreciate it.
The gap between Jones and Zimm definitely closes some, but I’d still prefer Jones by just a little.
Thank you. This is a great article. So glad my random google search found it. Definitely be following in the future.
Just to be clear, you would for sure keep Heyward over Adam Jones in a 12 team 5×5 Keeper league with OBP instead of AVG?
Correct