OPS/3
So I was reading through Moneyball the other day and I came across this passage:
An extra point of on-base percentage was clearly more valuable than an extra point of slugging percentage - but by how much? He (Paul DePodesta) proceeded to tinker with his own version of Bill James' "Runs Created" formula. When he finished, he had a model for predicting run production that was more accurate than any he knew of. In his model, an extra point of on-base percentage was worth three times an extra point of slugging percentage.(p.128)
DePo saw that adding OBP and SLG together meant they were of equal importance. He knew this couldn't be true, that's why he created this formula. So, I have calculated this value for a handful of A's players. I call this value OPS/3 since the formula is a player's OBP plus 1/3 his SLG.
Player OBP SLG OPS OPS/3
Kendall 345 321 660 452
Johnson 355 451 806 505
Swisher 322 446 768 470
Ellis 384 477 861 543
Kotsay 325 421 746 465
Crosby 346 456 802 498
Bradley 350 484 834 511
Chavez 329 466 795 484
Payton 306 444 750 454
Kielty 350 395 745 482
Looking at these numbers, a few things jump out at me. Kendall was widely considered to have had a terrible 2005 at the plate while JayPay was praised for picking up the offense. Looking at their OPS, one could easily agree that Payton was a better hitter than Kendall this year, but if you look at their OPS/3, you see that their run production and, in turn value as a hitter is about equal. The reason for this is that OPS/3 focuses much more on OBP, and Kendall is a much more patient hitter than Payton.
I wondered what the corellation between OPS and OPS/3 was, if a player had a high OPS it meant he had a high OPS/3. I figured if the corelation was high, then this whole experiment was a waste of time. I found the r^2 to be .787 which is a poor correlation. I know, I know, small sample size, but I still think there's something to this OPS/3 stat and we SABRANers should use it along side OPS not only because it's in Moneyball, our bible, but also cuz we should use the most accurate stat possible to calculate offensive production. If it's good enough for DePo, it's good enough for me.
0 recs |
52 comments
Comments
Interesting...
by BruceBochte on Dec 29, 2005 1:43 PM PST reply actions 0 recs
When I see
You have one guy who gets hit by a lot of pitches and never gets XBHs, and one guy who gets a lot of XBHs and never walks. You watched them both last year--who do YOU think had a better year?
My formula: OBP without XBH = LOB.
by Nico on Dec 29, 2005 1:46 PM PST reply actions 0 recs
What you have to remember, Nico,
by salb918 on Dec 29, 2005 1:53 PM PST up reply actions 0 recs
It's not that I've forgotten
But more significantly, walks and HBPs simply don't advance runners like singles do, or like doubles and HRs really do, big time el grande style. That is their weakness, one which is emphasized if you have too many high OBP, low SLG guys together.
Bottom line: a lineup of 9 Kendalls would be very unproductive, as would a lineup of 9 Paytons. But would I prefer to have 7 Kendalls and 2 Paytons, or 5 Kendalls and 4 Paytons? Probably the latter, personally.
by Nico on Dec 29, 2005 4:05 PM PST up reply actions 0 recs
DPs
Another way of putting it is this: if you had 2 players whose stats were identical except that Kendall had 27 GIDP and Kendoll had 7, there would be a 20-out difference in the calculation of their SLGs, which would show up as a big difference in a standard OPS. Under the OPS/3 formula, that difference is much, much smaller.
by Nick on Dec 29, 2005 4:22 PM PST up reply actions 0 recs
I do not think
by salb918 on Dec 29, 2005 4:25 PM PST up reply actions 0 recs
As if Kendall
I'm interested in this Kendoll--if we sign him, is he willing to dive to tag Michael Yaung?
by Nico on Dec 29, 2005 4:31 PM PST up reply actions 0 recs
No, but...
And he won't require much in the way of parking space.
by Ozzz on Dec 29, 2005 7:45 PM PST up reply actions 0 recs
Walking the middle road.
What's eating you is the frustration of watching our offense in 2005. But if you were a Cubs fan in 2004, you would be frustrated with the low-OBP, high-SLG offense, too.
Our eyes deceive us constantly, and as frustrating as our DP/HBP/LOB offense is, it is the byproduct of OBP. I know that you value OBP, and you make a good point that you need to have some heavy hitters, too. But if you have to have one or the other, give me OBP every day of the week and twice on Sundays. Payton's .302 OBP is awful and hurts the offense on balance, and as terrible as Kendall was last year (and it was bad) we have to recognize that the .345 OBP contributed to the offense in a positive way.
And you know, I never liked puppies anyway.
by salb918 on Dec 29, 2005 4:24 PM PST up reply actions 0 recs
OBP without SLG equals LOBs in extraordinary
The A's have fallen into the LOB rut too many times to downplay the importance of power in the mix. The first two months of last season the only one hitting with power was Kotsay. Everyone else was doing the "Kendall". Walks, singles, HIDP.
The Holy Flails
Let's NOT go back to that sickening vacuum of runs.
by A s Eh on Dec 29, 2005 6:56 PM PST up reply actions 0 recs
Exactly, A'sEh.
Get 'em on, get 'em over, get 'em in. It's not a "two outta three ain't bad" proposition. You really need to do all three; you really do.
by Nico on Dec 29, 2005 7:01 PM PST up reply actions 0 recs
LOB a good sign?
They wouldn't be wrong to do so. There is a strong positive correlation between team LOB and team runs scored. For 2005 AL teams, here are some correlation coefficients:
Runs Scored to LOB: +0.78
Runs Scored to Total Base Runners(): +0.74
Runs Scored to Total Bases: +0.82
Total Base Runners to LOB: +0.93
Runs Scored to LOB%(): +.47
In other words, team LOB numbers correlate almost perfectly with the number of base runners, which in turn correlates very strongly with scoring runs. And there is a significant positive correlation between the percent of runners stranded and the total number of runs. In other words, yes, leaving a lot of runners is a good sign on the whole, and as good a predictor of run-scoring prowess as anything.
For those who prefer anecdotes to stats, the team that left the most runners on base, and had the highest LOB percentage, was the Yankees, who scored the second most runs. The team that left the fewest on base was the White Sox, who were ninth in runs scored. The team that stranded the lowest percentage of base runners was the Devil Rays, about whom the less said the better.
(Def. of non-standard stats: () Total Base Runners = Hits - HR + BB + IBB + HBP). (**)LOB% = LOB / TBR)
by matthias on Dec 29, 2005 10:24 PM PST up reply actions 0 recs
sorry about the formatting there
by matthias on Dec 29, 2005 10:25 PM PST up reply actions 0 recs
I know, matthias--
by Nico on Dec 29, 2005 10:27 PM PST up reply actions 0 recs
I'm sorry
Well no, I'm not - they wouldn't be useful if all they ever did was confirm your gut feelings.
by matthias on Dec 29, 2005 10:32 PM PST up reply actions 0 recs
I've never intuited
No, it's not surprising, because teams that score more and teams that get more people on base (or make fewer outs) naturally go together.
It's when you observe your team doing one of the things well, but not the other, that you need to put the formula to the side for a moment and look at why. And if a lot of your getting on base isn't moving other people to some of the other bases, particularly the flatter 5-sided one, well...
by Nico on Dec 29, 2005 10:43 PM PST up reply actions 0 recs
What aren't they doing well?
Here's another little stat I cooked up for this discussion: Run Efficiency = (R - HR) / TBR. Roughly the percent of base runners that score. In the 2005 AL, Boston ranked 1st in this category with 33.6%, and Minnesota ranked last at 29.2%. Oakland ranked 4th with 31.9%. Fourth is also where they ranked in total base runners.
So no, I do not see how the A's are particularly bad at getting runners around to score.
What the A's really were bad at last year was hitting home runs. So they got most of their runs by clogging up the base paths with hits and walks and HBPs, and they were about as good at bringing those runners around as anybody.
by matthias on Dec 29, 2005 10:56 PM PST up reply actions 0 recs
You're looking strictly
But yes, nobody could run it up on Jose Lima or Jason Christiansen (remember that fun 16-0 nailbiter?) like the 2005 Oakland A's.
by Nico on Dec 29, 2005 11:01 PM PST up reply actions 0 recs
Yes, my stats are imperfect...
Again, what exactly is it you think the A's did consistenly poorly at compared to the rest of the league?
Just say what it is; I'll be happy to run the numbers and see if your claim is true.
by matthias on Dec 29, 2005 11:04 PM PST up reply actions 0 recs
I'm not sure
I was pleased at the Payton acquisition because Payton is kind of an "anti-A's" hitter. But he was also "what the doctor ordered" for that lineup at that time, and I was heartened to see the A's react to a need, not a philosophy. And .302 OBP and all, Payton helped. But--in fairness--only because there were other guys who had high OBPs, drove pitch counts up, etc. Balance gooooood, one way to attack baa-a-a-aaad.
by Nico on Dec 29, 2005 11:18 PM PST up reply actions 0 recs
Yeah
The weird thing about the A's was that most of their offensive stats were nearly identical to those of the Angels. The big, striking difference was that the Angels' run distribution was smoother. Why was that? Luck, or something they can change? I just don't know.
As to Payton - he helped a lot for about a month. Then he, like everybody else, just disappeared. Again, was the good month just luck? Or did people figure him out?
And you don't mention one other player: Bobby Crosby. When he was in the lineup, the team was good. When he was out, it wasn't. Too simple?
by matthias on Dec 30, 2005 9:57 AM PST up reply actions 0 recs
Woot!
by salb918 on Dec 30, 2005 10:11 AM PST up reply actions 0 recs
what about ...
by monkeyball on Dec 30, 2005 5:12 PM PST up reply actions 0 recs
Gotta go!
by A s Eh on Dec 31, 2005 11:10 AM PST up reply actions 0 recs
You missed the point
That's why OBP matters more, if you have to choose. Better that you don;t, but if you do....
Kendall is also a ground ball hitter, in a big way, which is one reason he grounds into so many double plays, but also why he reaches so much on errors. But to my way of thinking, its a further measure of his offensive contribution, because in the midst of a rally, a ground ball out is far more likely to move players along than a fly ball, foul out, pop fly, or line-out.
by dingerpower on Dec 30, 2005 10:12 AM PST up reply actions 0 recs
Yes, dingerpower,
I suspect the reason the Angels' run distribution was so much more even than the A's is that the two teams operate in opposite extremes. The Angels play for one run to obsession while the A's play for the big inning to obsession. As a result, the Angels score "here and there" constantly while the A's go dormant, dormant, erupt! In the end they score about the same number of total runs--with the A's even coming out ahead here--but the Angels are better suited to winning low scoring games.
The A's offensive distribution would be preferable behind the Rangers' pitching staff, but the Angels' offense would be preferable behind a solid rotation--which is what both the A's and Angels had.
by Nico on Dec 30, 2005 10:23 AM PST up reply actions 0 recs
Nicely put
A's hitters tend to be "clonis" due to the A's hitting philosphy coupled to a youthful lineup & roster.
Lots of sliders away and forkballs (Basicly Lowball/Groundball pitchers) that limit BBs to 1 or 2 per game shut down the A's like a "Frog's Ass",
... and that is water-tight!
Good teams percieve our weakness and use it against us.
How do you improve "Runs Distribution"?
If I was BB I'd try to have at least two veteran bats that are lowball predators with power.
Huff & Gomes are two such professional hitters. The effect two such examples could have on our youth should not be marginalized. Like must professional athletes hitting is a "see & do". No examples = can't do. ("Naturals" excepted).
If Saarloos pitched against the A's he would own us by not walking anyone. The A's need a hitter or two that tattoo Saarloos like a drunken sailor in a 1 week coma in a tattoo shop run by dykes...
...or close would do.
by A s Eh on Dec 31, 2005 11:29 AM PST up reply actions 0 recs
clonis = "clonish" <sorry>
When one likes the opposing pitcher, almost all like the opposing pitcher.
by A s Eh on Dec 31, 2005 11:41 AM PST up reply actions 0 recs
Bingo, A'sEh.
The basic philosophy is great and works more often than not; the lack of versatility (making adjustments to fit the opponent) is the problem.
by Nico on Dec 31, 2005 11:54 AM PST up reply actions 0 recs
Context is everything
As for your example, any season-long trend is susceptible to being found a failure in certain instances. Since it is impossible to determine in just which innings and situations the rallies and runs come, I don't think your point is persuasive.
And finally, take one of those charts that give a run value to different on-base setups (Man on 1st, one out -- you know the sort I mean) and apply it to the Angels' or White Sox' small ball shenanigans (SB, CS, S) and I think you'll find that, net-net, the impact on overall run production runs from zero to negative.
In other words, a lot of effort to achieve nothing.
by dingerpower on Dec 31, 2005 2:12 PM PST up reply actions 0 recs
I agree to a point, dinger,
You don't need to build a team around stealing and hit-and-run (like the Angels do to a fault), but it's a good idea to use what you have when the situation--e.g., the opposing pitcher--suggests that your "tried and true" approach probably won't work as well today.
In other words, trying to steal against Buehrle, trying to hit-and-run against K-Rod, trying to walk against Silva, and trying to go deep against Hudson--not the best approaches if other options are there. And they usually are, somewhere, on any roster.
by Nico on Dec 31, 2005 4:48 PM PST up reply actions 0 recs
Golf has clubs to suit the situation
In MLB getting on base is good for starters but scoring is where it's at!
by A s Eh on Jan 1, 2006 3:41 PM PST up reply actions 0 recs
Many have tried to
My contribution is simple (2.2*OBP+ISO), but a lacking in accuracy in outlier cases such as Jason Kendall or Mark Bellhorn. To get high accuracy, you need to hit up stats like GPA (via Harball Times) or EqA (via Baseball Prospectus). These stats use some form of linear weights on individual events (here's a useful discussion on linear weights).
A commonly accepted weighting system is as follows:
1.6*BB + 2.6*1B + 3.6*2B + 4.6*3B + 5.6*HR
The comments in this thread are also very useful, since a novice (like me) is having lin weights explained to him.
by salb918 on Dec 29, 2005 1:52 PM PST reply actions 0 recs
OPS, GPA, EqA, LW, etc.
Aaron Gleeman's GPA, used by the hardball times is (1.8 * OBP + SLG)/4. (He divides by 4 to put it on a scale similar to batting average).
The linear weights formula in Sal's post is (almost) equivalent to 1.6*OBP + SLG.
Baseball Prospectus' EqA is a little more complicated, but similar.
A quick check I just did of last year's runs scored, OBP, and SLG by team suggests a weighting of 2.1 for OBP.
But the real point is that picking the "right" weight there just isn't that important. A good reference is this article from BPro about EqA. According to them, historically run scoring correlates by about .922 with OPS, and by about .930 with EqA or other improved stats. That means you're only getting about a 1% improvement by giving OBP and SLG their proper weights in a formula like this.
by andeux on Dec 29, 2005 2:24 PM PST up reply actions 0 recs
The last issue you bring up
I do wonder, has the relative importance of power and on-base abilities changed over the years? Were home runs more important in the deadball era than they are today?
by salb918 on Dec 29, 2005 2:39 PM PST up reply actions 0 recs
Good question
You might also want to look at David Grabiner's Sabermetric Manifesto from about 10 years ago. He suggests that the relative weight given to OBP and SLG should be the inverse of the ratio of the league averages of those quantities. The basic idea seems to be this: on a team level, runs are correlated with OBP*SLG. The marginal effect of one player is then of the form (OBP)*(team SLG) + SLG * (team OBP) - more or less the same as the derivation of the product rule for derivatives. I think there are some holes in this argument, but it's a nice heuristic.
by andeux on Dec 29, 2005 3:12 PM PST up reply actions 0 recs
Anyone count cards?
Anyway, andeaux' note at the end again reminded me how much these statistical worlds overlap. And then there's monkeyball's "standard deviation."
by FreeSeatUpgrade on Dec 29, 2005 3:26 PM PST up reply actions 0 recs
I'm sorry, but ...
by monkeyball on Dec 30, 2005 8:44 AM PST up reply actions 0 recs
RC
Not all outs are equal, and not all non-outs are equal.
A home run is worth only 3x as much as a single, though in Slg% it is worth 4x as much. A single is worth more than a walk.
THT Annual has the values for each listed. I'd post them but my copy is out in my car and I'm lazy. That is the way to do a RC formula. Check Kendall vs Payton that way.
by Yanny on Dec 29, 2005 9:35 PM PST reply actions 0 recs
SalB or Someone?
Take this extremely simplistic example: Would you rather have Team 1 or Team 2 below?
Team 1: 350 OBP, 420 SLG, 770 OPS, 490 OPS/3
Team 2: 320 OBP, 500 SLG, 820 OPS, 487 OPS/3
According to OPS/3, we'd rather have a team of patient hitters with little power than a team of slightly less patient hitters with significantly more power. I realize that you don't score unless you get guys on base, but you also don't score if you can't drive guys in... Maybe it's just a matter of weighting it correctly, but if there is some article out there that shows the correlation between OBP and R, and the correlation between SLG and R, I'd love to read it. Anybody? Anybody? Bueller?
by Uncle Charlie on Dec 30, 2005 1:44 PM PST reply actions 0 recs
You can start here
http://www.beyondtheboxscore.com/story/2005/11/30/225611/12
by salb918 on Dec 30, 2005 1:53 PM PST up reply actions 0 recs
That's good stuff.
Damn, now I'm going to have to read that blog too. I take it all back, you suck.
by Duke of left field on Dec 30, 2005 10:13 PM PST up reply actions 0 recs
By the way...
In the regular season, I think the A's philosophy of "nothing, nothing, nothing, petience, erupt" is OK because over the course of nearly 1,500 innings you are going to have enough eruptions to balance all of the "nothing" innings.
However, come playoff time, when an entire series can be made up of as few as 27 or 36 innings, I think the "nothing, nothing, nothing, erupt" offensive philosophy is a liability. The team with a philosophy geared toward bettering their odds of scoring one run in an inning is better-suited for the playoffs than the team that gears up for one big inning, because (a) they keep pressure on the opponent and (b) you never know when that eruption is going to come.
by Uncle Charlie on Dec 30, 2005 1:51 PM PST reply actions 0 recs
Plus it comes less often
One of the reasons I can't get more amped about OBP is the knowledge that .320 is considered a poor OBP and .350 a solid OBP, and yet the difference is all of one plate appearance every 33, aka one plate appearance a week.
Jason Kendall gets hit by a pitch about once a week, but that alone doesn't elevate him--in my mind--from a poor offensive player to a good one, in one swell foop. The fact that almost every single success gets him only one base, and that so many of those don't advance anyone anywhere (certainly not two bases at a time), seems as--if not more--significant.
So a 3:1 weighting in favor of OBP just doesn't seem right to me.
by Nico on Dec 30, 2005 2:08 PM PST up reply actions 0 recs
adding up the numbers
Let's go with that thought. How do other stats compare? A .240 batting average (poor) and .270 batting average (solid) amount to one extra hit every 33 ABs. Does that defy logic? I don't think so; it's just a reflection of the fact that very small differences in skill between players add up to big differences in wins over the long haul - which is exactly why you need good stats to evaluate players accurately.
Now let's compare to SLG. What does a 0.030 improvement in SLG amount to? It means, roughly, once every 33 ABs getting a double instead of a single. Those who weight OBP more heavily than SLG are saying, the difference between a double and a single is not nearly as big a difference in value as the difference between getting on base and making an out.
If a weighting of 3x is used, then the analyst is saying that an 0.030 improvement in OBP is equal in value to a 0.090 improvement in SLG - for example the difference between 0.400 (poor) and 0.490 (solid). Does that make sense? Well it amounts to once every eleven at bats (in which on average there are a few hits) getting a double instead of a single.
Is getting a double instead of a single every 11 at bats the same value as getting a walk instead of an out every 33 plate appearances? My gut feel, like yours, is that that seems a little bit too much weight on OBP. Most sabermetricians do put the weight closer to 2x, and that feels about right.
by matthias on Dec 30, 2005 3:57 PM PST reply actions 0 recs
Maybe we don't
Anyway, my issue is more with versatility and balance--of any preferred approach. It's something I think plagues the Angels too, because they only know how to give up too many outs and not be patient enough, while the A's only know how to take the opposite approach. Both approaches may work for their respective teams a good 75% of the time or so, but 40 "other games" is a lot...
by Nico on Dec 30, 2005 4:48 PM PST reply actions 0 recs
yeah... math...
by kvn on Dec 30, 2005 5:29 PM PST reply actions 0 recs
current thinking
THT does a stat called GPA with the formula (1.8*OBP + SLG)/3. It's essentially OPS with more weight on OBP reweighted so that it looks more like batting average.
by Ellis on Dec 30, 2005 8:12 PM PST reply actions 0 recs
Now 1.8
by Nico on Dec 30, 2005 8:56 PM PST up reply actions 0 recs
Funny you should mention it
by salb918 on Dec 30, 2005 10:30 PM PST up reply actions 0 recs

by 




















