Carlos Martínez Epitomizes Contextual Value, and Other Business School Buzzwords
In recent years, moving a middling starter to relief and discovering a stud has become something of a baseball trope. Spare Andrew Miller or Drew Pomeranz on your hands? Chuck them in the bullpen and they’ll improve. Wade Davis doesn’t thrill you as a starter? Let him relieve and he’ll add velo and win you a World Series.
Of course, this doesn’t mean that we should simply make every starter a reliever. The gains you would get from making Max Scherzer a reliever (An even higher strikeout rate! Even more velo! Even more grunts!) don’t come close to the losses in innings pitched. When you have a great pitcher, it’s key to give them as much playing time as possible, even at the cost of efficiency. Reliever Scherzer might be untouchable, but then you get 60 innings of him and 150 innings of starts from Joe Triple-A.
This logic brings us, unerringly, to Carlos Martínez. Martínez is an excellent test case for the boundaries of starter-to-reliever conversions. As a reliever, he’s been spectacular — he had a 3.17 ERA, 2.86 FIP, and sparkling strikeout and walk numbers out of the bullpen in 2019, and was similarly good there in 2018. At the same time, he’s an above average starter. He boasts a career 3.36 ERA (and 3.61 FIP) in the rotation.
So where should the Cardinals use him? There’s some chance the decision is made for them — in 2019, he started the season on the Injured List and the team prioritized getting him back to the majors over getting him stretched out for starting. But in 2020, it will come down to a philosophical question: would you prefer an effective starter or a phenomenal reliever?
The reason our brains know without hesitation that borderline starters make good conversion candidates while moving Scherzer makes no sense is an intuitive application of marginal value. The value of a bullpen conversion comes down to two things: how much run prevention the pitcher provides relative to the next available pitcher in each role, and how many innings they can pitch in that role.
Consider a team where the fourth-, fifth-, and sixth-best starters are nearly equivalent in skill. There’s little marginal value to be gained by swapping those starts around; you could get roughly the same production by starting the three in any combination. Now assume that one of them is best suited for a relief conversion:
| Pitcher | Starting ERA | Relief ERA |
|---|---|---|
| A | 5.00 | 4.00 |
| B | 5.00 | 4.75 |
| C | 5.00 | 4.75 |
This decision is a no-brainer; move Pitcher A to relief. We can look at the math of it to confirm, but the outcome is intuitive:
| Pitcher | ERA- Start | Rep Start ERA | Runs Saved/IP | Runs Saved | ERA- Relief | Rep Relief ERA | RS/IP | Runs Saved |
|---|---|---|---|---|---|---|---|---|
| A | 5.00 | 5.00 | 0 | 0 | 4.00 | 4.75 | 0.083 | 5 |
| B | 5.00 | 5.00 | 0 | 0 | 4.75 | 4.75 | 0 | 0 |
| C | 5.00 | 5.00 | 0 | 0 | 4.75 | 4.75 | 0 | 0 |
I made it so that Pitchers B and C are also replacement level as relievers, but even if they weren’t, Pitcher A provides the most surplus there.
So what stops us from converting every player like Pitcher A, who is phenomenally better in relief? Let’s look at a slightly different scenario. Pitcher A and B are now both better, 4.50 ERA pitchers in expectation. A is still better in relief:
| Pitcher | Starting ERA | Relief ERA |
|---|---|---|
| A | 4.50 | 3.50 |
| B | 4.50 | 4.25 |
| C | 5.00 | 4.75 |
But now the replacement level calculations start to move. The bullpen replacement level is still the same; after all, we know that Pitcher C can provide replacement level innings in either role. Assuming 150 innings as a starter or 60 as a reliever, now what we do with Pitcher A gets tricky:
| Pitcher | ERA- Start | Rep Start ERA | Runs Saved/IP | Runs Saved | ERA- Relief | Rep Relief ERA | RS/IP | Runs Saved |
|---|---|---|---|---|---|---|---|---|
| A | 4.50 | 5.00 | 0.056 | 8.33 | 3.50 | 4.75 | 0.139 | 8.33 |
| B | 4.50 | 5.00 | 0.056 | 8.33 | 4.25 | 4.75 | 0.056 | 3.33 |
| C | 5.00 | 5.00 | 0.000 | 0.00 | 4.75 | 4.75 | 0.000 | 0.00 |
The same talent differential is still there — A gets much better as a reliever, while B and C don’t get the same boost. But there’s a new effect. It’s more important to maximize the innings from your best players, and now A saves 8.3 runs relative to the next man up in either role.
Make A and B better still, and the math flips:
| Pitcher | ERA- Start | Rep Start ERA | Runs Saved/IP | Runs Saved | ERA- Relief | Rep Relief ERA | RS/IP | Runs Saved |
|---|---|---|---|---|---|---|---|---|
| A | 4.00 | 5.00 | 0.111 | 16.67 | 3.00 | 4.75 | 0.194 | 11.67 |
| B | 4.00 | 5.00 | 0.111 | 16.67 | 3.75 | 4.75 | 0.111 | 6.67 |
| C | 5.00 | 5.00 | 0.000 | 0.00 | 4.75 | 4.75 | 0.000 | 0.00 |
Despite the same improvement from starting to relieving, the decision is now clear. It’s more important to max out playing time from Pitcher A, even if that means using him in his less “optimal” role.
If you want to flip the math back, we need only reach the playoffs, where replacement level changes. There are no fifth starters in the playoffs, no back end of the bullpen. Pitcher A’s replacement in the rotation would now be Pitcher B:
| Pitcher | ERA- Start | Rep Start ERA | Runs Saved/IP | Runs Saved | ERA- Relief | Rep Relief ERA | RS/IP | Runs Saved |
|---|---|---|---|---|---|---|---|---|
| A | 4.00 | 4.00 | 0.000 | 0.00 | 3.00 | 4.50 | 0.167 | 2.33 |
| B | 4.00 | 4.00 | 0.000 | 0.00 | 3.75 | 4.50 | 0.083 | 1.17 |
| C | 5.00 | 4.00 | -0.111 | -3.33 | 4.75 | 4.50 | -0.028 | -1.67 |
I used 30 IP for a starter and 14 IP for a reliever over the course of the playoffs assuming a World Series run, and you’re welcome to vary the assumptions. But interestingly, it can make sense to put someone in the bullpen even if they’re a better starter than their replacement:
| Pitcher | ERA- Start | Rep Start ERA | Runs Saved/IP | Runs Saved | ERA- Relief | Rep Relief ERA | RS/IP | Runs Saved |
|---|---|---|---|---|---|---|---|---|
| A | 3.75 | 4.00 | 0.028 | 0.83 | 2.75 | 4.50 | 0.194 | 2.72 |
| B | 4.00 | 4.00 | 0.000 | 0.00 | 3.75 | 4.50 | 0.083 | 1.17 |
Let’s swing the discussion from theory back to El Gallo. Martínez certainly looks the part of someone who would be better suited in relief. He runs a huge platoon split; lefties have accrued a 23% higher wOBA than righties against him over the course of his career. He’s 2019 Hyun-Jin Ryu against righties, 2019 Danny Duffy against lefties. It’s a giant gap, and the sample size isn’t negligible; even after regressing that rate appropriately, it’s still an 18.3% gap in wOBA allowed.
In fact, he has the sixth-worst regressed platoon split among all active right-handers. Why does that matter for the question of starting against relieving? Because teams can scheme their relievers into facing same-handed batters more often. There’s no issue of the other team cramming the lineup with platoon bats, and managers can pick spots where several righties in a row appear.
In 2019, right-handed starters faced righties in 51.5% of plate appearances. Relievers, by comparison, faced a juicy 57.8% righties. Why is Martínez considered a good bullpen candidate? Because he’s one of the pitchers in baseball for whom a platoon advantage is most important, and relieving is the easiest way to get those matchups.
But the top of the regressed platoon split list shows the perils of thinking only in this way. Number one in baseball? None other than Scherzer, who has allowed a 24.6% higher wOBA to lefties than to righties over his career in a massive sample (22.2% after regression).
Forget Ryu and Duffy; for his career, Scherzer has pitched like 2019 Gerrit Cole’s overall line to righties and like 2019 Matt Albers to lefties. No one’s suggesting he should switch to relief, because we intuitively understand what I showed above; the further a pitcher gets from replacement level, the less it makes sense to move them to the bullpen, even if they’d get a huge boost there.
The Cardinals haven’t shown their hand when it comes to plans for Martínez in 2020. They’re in roughly the position of the theoretical team above; Martínez has a game that may be best suited for relief, but he has a talent level best suited for starting.
In my mind, the decision isn’t that close. If he’s healthy enough to start, he should start. The team has a mess of interchangeable starters who are meaningfully worse than Martínez; Daniel Ponce de Leon, Adam Wainwright, Austin Gomber, and even Dakota Hudson are all in his rear-view mirror as a starter.
So let’s take our framework from earlier, only with real players replacing hypotheticals this time:
| Pitcher | ERA- Start | Rep Start ERA | Runs Saved/IP | Runs Saved | ERA- Relief | Rep Relief ERA | RS/IP | Runs Saved |
|---|---|---|---|---|---|---|---|---|
| Martínez | 4.20 | 4.70 | 0.056 | 8.33 | 3.60 | 4.40 | 0.089 | 5.33 |
These are conservative assumptions. Martínez hasn’t had an ERA above 4.00 since 2014. He’s better as a reliever — 0.8 runs better than his replacement, against only 0.5 runs better than replacement as a starter. Still, he should start. The value of bulk innings is simply too high.
Decisions are never this simple. Some pitchers don’t have the stamina to start, even if the math says they should. Innings caps tilt players towards relief; if you’re working with a set amount of playing time, the playing time multiplier for starters stops mattering. Personalities matter, too; when the decision is close, only a few runs a year, it’s more important to keep players happy than to squeeze out every last drop of optimization juice.
But this is the decision tree that teams should use to make role decisions. When Kenta Maeda makes his yearly migration to the bullpen, it’s not exclusively because the Dodgers are playing games with Maeda’s incentive-laden contract (though that doesn’t help). It’s also because he’s their version of Martínez — huge platoon splits, meaningfully better than a regular-season replacement-level starter, and more valuable in the playoffs as a reliever.
More teams should do this, I think. The tradeoff between starting and relieving isn’t static, and it’s not exclusively about how well suited a particular player is to a particular role. It’s contextual, and the context can change over time. We baseball fans have always understood the rough logic of the decision, but putting numbers to it can illuminate the right path in situations, like that of the Cardinals and Martínez, where it’s not an open-and-shut case.
This article has been updated to correct a typo in Max Scherzer’s regressed platoon splits (by 1%).
Ben is a writer at FanGraphs. He can be found on Bluesky @benclemens.
Interesting to see if more teams adopt that strategy with the 3 batter min. and 15 day pitcher IL
This definitely helps explain why the Braves stuck Fried in the pen in the 2019 NLDS… didn’t pan out in some ways of course but the thinking makes more sense now. Thanks for this piece!
Would be interested in seeing the expected splits on Seth Lugo as a starter vs reliever.
Rick Porcello is the Mets’ 5th Starter and he projects to have a 4.62 ERA. Say you think Lugo can post a 4.00 ERA as a Starter, then take (4.62 – 4.00)*(150/9) = 10.33 runs saved as a starter over Porcello. Lugo posted a 2.70 ERA as a reliever last year. If Porcello could post a 4.00 ERA as a reliever, you’d get (4.00 – 2.70)*(60/9) = 8.67 runs saved. So assuming I understand Ben’s arithmetic, under these assumptions, flipping Lugo & Porcello would save 1.66 runs as a starter over a season. You can assume different ERA’s for Lugo as a Starter and Porcello as a Reliever to get a break-even sensitivity analysis.
I suspect you want a more concrete answer, but I suspect even Steamer & Zips would have trouble projecting Lugo & Porcello in new roles since there aren’t a lot of pitchers historically who have done this.
Yeah this is it essentially. I might use a slightly higher replacement level for starters just because in reality you’d probably keep Porcello as a swingman and cut Wacha completely out of the rotation, but for whatever reason Steamer actually projects Wacha better than Porcello next year, so shrug.
Now, if you think Steamer is right and that Lugo is a 3.54 ERA reliever next year, then it looks more like, let’s say, 4.4 and 3.5, then it doesn’t really work, and he’s better as a reliever. That’s probably a reasonable assumption; Lugo seems like exactly the kind of marginal guy who was just okay as a starter, and the team has already discovered that he’s nails in relief. But as Shalesh said, good luck projecting exactly how people will do in a switch to relief. You are going to run into some serious sample size issues. I’ve looked into this a bit before, but I never found a metric I was fully comfortable with in terms of what things could predict a player improving more than expected when switching to relief.
what’s the best way to estimate who will thrive in relief over starting? Is the increase from 90 to 92 as helpful as 94 to 96? how about pitchers who have 2 good (or even 1 ) pitches and not much else (pomeranz). or the on flip side, what about 4 average to below average pitches throw almost equally? imagine trying to predict what will be thrown in 1 AB for each individual pitcher/batter combination.
also you have to figure the money aspect into all of this- salaries, how it’ll effect arbitration etc. Could swapping guys back and forth screw with the arbitration process since there isn’t as much precedence to determine their value?
I bet you wrote about the methodology at some point and I just forget, but how do you regress the platoon splits? I assume its from The Book, and if I am not mistaken a platoon split becomes meaningful at around 1200 PAs (I also seem to remember that Tango and Lichtman found it was different for righties and lefties).
I used the methodology from The Book more or less exactly. I hesitate to say ‘become meaningful,’ because that’s a tricky one, but if you want to use the Tango method, you simply take a weighted average of a righty’s platoon split (weighted by the number of left-handed batters he’s faced) and league average platoon split (weighted by 700 PA). The number is 450 for lefty pitchers. You could update the numbers if you want (I did that a few years ago though I can’t find the spreadsheet offhand), but those are good ballpark numbers. Oh also, the righty pitcher platoon split was around 5% in 2019.
I see no way that they’ll put him in the pen unless he’s not healthy in ST. He’d be right behind Flaherty in the rotation if he is healthy. Nobody wants to see Austin Gomber starting a bunch of games, well except for the hugeness.
I’m curious whether you factored in leverage for relievers. I’d guess that good relievers tend to pitch higher leverage innings than mediocre starters so maybe those runs saved in relief produce more wins than runs saved while starting?