The Case for an Ace
You should buy an ace.
The fantasy landscape has changed dramatically over the past few years. Just a half decade ago, a mid-$20s bid at a mixed league auction would buy you a top pitcher. $30 was unheard of … for any pitcher. A non-hitter in the first round was blasphemous. Pitching was thought of to be too volatile, and far too risky to roster at such a considerable cost.
I personally bought into this notion. At auctions, I used to purchase two $19 SPs … the not-your-ace 1A pitchers. I had the fortune of winning my fantasy leagues using the “spread the risk” roster construct for pitching.
That was fine then … but in a few short years, everything has changed.

Listed above are the top five pitchers selected (with amounts) in each of the last seven years at the Tout Wars Mixed Auction League. [I am honored to be a new participant in Tout Wars for 2019 – in the Tout Draft & Hold League!]
What a dramatic change. In 2012, the average auction spend of the top five pitchers was $26, and just this past year, it spiked to $39. To buy an ace, you now need to pay $13 more than you did in 2012. That’s a 50% increase! Gone are the days of the 70/30 Hitting/Pitching splits.
Normally, when everyone is zigging … it is my tendency to zag. When elite starting pitching costs almost as much as the top hitters, I would normally see this as an opportunity not to fall in a “market trap” and to steer clear of what seemingly is a poor use of assets at the draft/auction table.
However, as the title and first line of this article indicates, I would like to state the case that you should buy an ace.
In an auction, this entails allocating your pitching dollars towards an elite arm. In a draft, it means grabbing the cream of the crop earlier than you normally would – and perhaps in the first round.
In this article, we will take a look at what would have happened last year if you had bought an ace. Further, we will look to calculate the optimal price points to purchase pitching, by maximizing profitability.
Definitions:
A few definitions to help us:
- Annual Auction Value (AAV) – The average of the auction values from last year’s NFBC online auction season. This in effect is what it would have cost to roster a player in 2018.
- 2018 – The final full season returned value in an NFBC contest. Using my personal Z-Score based auction calculator, this will give us what each player was worth to roster all season long.
- % of Value – This represents the percent of original cost that the player held. It is the 2018 values divided by the AAV.
- Verdict – We will classify 2018 player results into five categories:
- Gain – Profitable players. Players who returned more value than their initial price point.
- Par – Players who roughly earned what was paid for them.
- Most – Players who returned 50%+ of their original price.
- Some – Players who retuned at least a quarter of their original value.
- Bust – Players who returned little to no value, or even negative value.
Note: The 2018 values have been capped at a loss of -$2 per player. Players with negative values are below replacement and are not worth rostering. These players should effectively be cut from rosters before returning negative value. For this study, we will let players earn a slight negative value (-$2), but not more.
On average, starting pitchers in 2018 retained only about 40% of their initial value. I let the Z-Score method fully dictate the Hitter-Pitcher split of the auction dollars in this analysis. [Had I given more weight to pitchers in my valuation, the 40% figure would have been higher – but it shouldn’t matter for determining player profit relativities.]
With injuries, valuable undrafted players, rookies who came up mid-season, etc. – There were many players having a zero AAV (not drafted) yet had a positive season-long value. In this 2018 environment, if you simply returned 50% of a drafted value – you did well comparatively.
Profitability:
Let’s take a look at the profitability of rostering one of 2018’s “Big 4” starting pitchers:
| No | Player | AAV | 2018 | % of Value | Verdict |
|---|---|---|---|---|---|
| 1 | Clayton Kershaw | 42 | 14 | 33% | Some |
| 2 | Max Scherzer | 41 | 38 | 91% | Par |
| 3 | Corey Kluber | 40 | 27 | 66% | Most |
| 4 | Chris Sale | 39 | 32 | 80% | Par |
| Total | 163 | 110 | 67% | ||
| Average | 41 | 27 | 67% |
On average, the top four pitchers in 2018, as ranked by AAV, held most of their value. No pitcher was a bust. Scherzer and Sale’s return was outstanding. Kluber’s return was perfectly acceptable for his cost. Kershaw’s return was adequate.
Kershaw’s lowish returned value was due to missed time, not because of poor quality of play. He was immensely valuable on a per start basis. During his absence, fantasy players had the opportunity to play a replacement level player.
The verdict with this unprecedentedly expensive group of four pitchers – is that they returned excellent value, and were worth their extravagant cost.
Looking at the next group of “aces,” we see another batch of very effective returns.
| No | Player | AAV | 2018 | % of Value | Verdict |
|---|---|---|---|---|---|
| 5 | Madison Bumgarner | 33 | -1 | -3% | Bust |
| 6 | Stephen Strasburg | 33 | 3 | 9% | Bust |
| 7 | Noah Syndergaard | 30 | 7 | 25% | Some |
| 8 | Carlos Carrasco | 29 | 14 | 47% | Some |
| 9 | Jacob deGrom | 29 | 39 | 133% | Gain |
| 10 | Luis Severino | 28 | 14 | 48% | Some |
| 11 | Justin Verlander | 27 | 36 | 134% | Gain |
| 12 | Zack Greinke | 25 | 15 | 57% | Most |
| Total | 235 | 126 | 54% | ||
| Average | 29 | 16 | 54% |
The first two pitchers in this pack (Bumgarner and Strasburg) were busts. Syndergaard wasn’t a fantastic buy, but he still held some value. It was the latter half of this group (which included deGrom and Verlander) that made this collection of lower-tiered aces worthwhile.
All in all, looking at the 2018 “Aces” as deemed by the twelve highest auction values:

Half of the “Aces” returned at least 50% of their value. Only 17% of the top dozen were total busts.
Below are the next 20 starting pitchers:
| No | Player | AAV | 2018 | % of Value | Verdict |
|---|---|---|---|---|---|
| 13 | Yu Darvish | 25 | -2 | -8% | Bust |
| 14 | Robbie Ray | 25 | -2 | -8% | Bust |
| 15 | Chris Archer | 24 | -2 | -8% | Bust |
| 16 | Carlos Martinez | 24 | 1 | 2% | Bust |
| 17 | Aaron Nola | 23 | 31 | 130% | Gain |
| 18 | Jose Quintana | 21 | -2 | -9% | Bust |
| 19 | Dallas Keuchel | 20 | -2 | -10% | Bust |
| 20 | Gerrit Cole | 19 | 24 | 124% | Gain |
| 21 | James Paxton | 18 | 8 | 45% | Some |
| 22 | Luis Castillo | 17 | -2 | -11% | Bust |
| 23 | Shohei Ohtani | 17 | 1 | 5% | Bust |
| 24 | Masahiro Tanaka | 16 | 5 | 33% | Some |
| 25 | David Price | 15 | 9 | 58% | Most |
| 26 | Jake Arrieta | 15 | -2 | -13% | Bust |
| 27 | Jose Berrios | 14 | 4 | 31% | Some |
| 28 | Kyle Hendricks | 14 | 7 | 47% | Some |
| 29 | Jon Lester | 14 | 2 | 18% | Bust |
| 30 | Luke Weaver | 14 | -2 | -14% | Bust |
| 31 | Rich Hill | 14 | 6 | 45% | Some |
| 32 | Alex Wood | 13 | 0 | 0% | Bust |
| Total | 364 | 81 | 22% | ||
| Average | 18 | 4 | 22% |
Here are the following 25:
| No | Player | AAV | 2018 | % of Value | Verdict |
|---|---|---|---|---|---|
| 33 | Zack Godley | 13 | -2 | -16% | Bust |
| 34 | Trevor Bauer | 12 | 22 | 181% | Gain |
| 35 | Sonny Gray | 12 | -2 | -17% | Bust |
| 36 | Jeff Samardzija | 11 | -2 | -18% | Bust |
| 37 | Johnny Cueto | 10 | 0 | -3% | Bust |
| 38 | Jon Gray | 10 | -2 | -19% | Bust |
| 39 | Marcus Stroman | 10 | -2 | -20% | Bust |
| 40 | Lance McCullers | 9 | 3 | 27% | Some |
| 41 | Danny Duffy | 9 | -2 | -23% | Bust |
| 42 | Garrett Richards | 9 | -2 | -23% | Bust |
| 43 | Danny Salazar | 8 | -2 | -25% | Bust |
| 44 | Jameson Taillon | 8 | 8 | 105% | Par |
| 45 | Gio Gonzalez | 8 | -2 | -26% | Bust |
| 46 | Kenta Maeda | 7 | 0 | -1% | Bust |
| 47 | Taijuan Walker | 7 | -2 | -27% | Bust |
| 48 | Aaron Sanchez | 7 | -2 | -28% | Bust |
| 49 | Chase Anderson | 7 | -2 | -28% | Bust |
| 50 | Dylan Bundy | 7 | -2 | -28% | Bust |
| 51 | Blake Snell | 7 | 35 | 496% | Gain |
| 52 | Charlie Morton | 7 | 12 | 176% | Gain |
| 53 | Kevin Gausman | 7 | -2 | -30% | Bust |
| 54 | Dinelson Lamet | 7 | -2 | -30% | Bust |
| 55 | Michael Fulmer | 6 | -2 | -32% | Bust |
| 56 | Drew Pomeranz | 5 | -2 | -40% | Bust |
| 57 | Alexander Cobb | 5 | -2 | -42% | Bust |
| Total | 208 | 43 | 21% | ||
| Average | 8 | 2 | 21% |
What is noteworthy, is that results are poor for the entire stretch of pitching from $5 to $25. On average, players hold only ~20% of their initial value. Looking at the verdict distribution:

Only 5 out of 45 players in these two stretches combined were profitable (Nola, Cole, Bauer, Snell, Morton). Only 16% of all players even held half of their full-season value. 71% of the players were busts. They likely warranted to be replaced mid-season by a replacement level player.
Finally, below are the final 30+ players who were bought for at least a ~$1 AAV in 2018:
| No | Player | AAV | 2018 | % of Value | Verdict |
|---|---|---|---|---|---|
| 58 | Michael Wacha | 5 | 1 | 31% | Some |
| 59 | Cole Hamels | 4 | -2 | -45% | Bust |
| 60 | Mike Clevinger | 4 | 12 | 277% | Gain |
| 61 | Patrick Corbin | 4 | 17 | 395% | Gain |
| 62 | Julio Teheran | 4 | -1 | -24% | Bust |
| 63 | Rick Porcello | 4 | 2 | 44% | Some |
| 64 | Sean Manaea | 4 | 6 | 158% | Gain |
| 65 | Ervin Santana | 4 | -2 | -53% | Bust |
| 66 | Jacob Faria | 4 | -2 | -54% | Bust |
| 67 | Lance Lynn | 4 | -2 | -55% | Bust |
| 68 | Jordan Montgomery | 3 | -2 | -58% | Bust |
| 69 | Tanner Roark | 3 | -2 | -60% | Bust |
| 70 | Lucas Giolito | 3 | -2 | -60% | Bust |
| 71 | J.A. Happ | 3 | 10 | 312% | Gain |
| 72 | Tyler Chatwood | 3 | -2 | -65% | Bust |
| 73 | Jake Odorizzi | 3 | -2 | -68% | Bust |
| 74 | Bradley Peacock | 3 | 2 | 57% | Most |
| 75 | Alex Reyes | 3 | -2 | -71% | Bust |
| 76 | Felix Hernandez | 3 | -2 | -75% | Bust |
| 77 | Brent Honeywell | 3 | -2 | -78% | Bust |
| 78 | Luiz Gohara | 2 | -2 | -80% | Bust |
| 79 | Miles Mikolas | 2 | 18 | 785% | Gain |
| 80 | Eduardo Rodriguez | 2 | 2 | 97% | Par |
| 81 | Marco Estrada | 2 | -2 | -123% | Bust |
| 82 | Steven Matz | 1 | -2 | -140% | Bust |
| 83 | Jimmy Nelson | 1 | -2 | -153% | Bust |
| 84 | Matt Harvey | 1 | -2 | -169% | Bust |
| 85 | Hyun-Jin Ryu | 1 | 11 | 1045% | Gain |
| 86 | German Marquez | 1 | 4 | 515% | Gain |
| 87 | Vincent Velasquez | 1 | -2 | -230% | Bust |
| 88 | Zach Davies | 1 | -2 | -247% | Bust |
| 89 | Matt Shoemaker | 1 | -2 | -247% | Bust |
| 90 | Mike Leake | 1 | -2 | -322% | Bust |
| Total | 87 | 41 | 46% | ||
| Average | 3 | 1 | 46% |
Since the final group of players were purchased on the low end, we should have expected a large amount of turnover throughout the season. In this stretch, indeed there were a number of diamonds in the rough such as Clevinger, Corbin, Happ, Mikolas, Ryu, etc. These were highly profitable players on a per dollar spent basis – and allowed the group as a whole to retain about half of its value (46%).
This isn’t a revolutionary concept – that the $1-3 players are relatively good purchases. What is interesting is their comparison in verdict frequency to the two other tiers above:

27% percent of players at the low end retained most of their value, with 21% profiting. That’s roughly twice the chance of each of the previous two cohorts.
Optimization:
Now that we have an idea of the profitability at various price points for starting pitching, let’s use that information to optimize the spend.
| SP Group | AAV | 2018 | % of Value |
|---|---|---|---|
| Top 4 | 41 | 27 | 67.4% |
| 5 to 12 | 29 | 16 | 53.7% |
| 13 to 32 | 18 | 4 | 22.4% |
| 33 to 57 | 8 | 2 | 20.8% |
| 58 to 90 | 3 | 1 | 46.4% |
| Average | 12 | 4 | 38.0% |
The average starting pitcher was purchased for $12 in 2018. We will assume that each fantasy team buys exactly six starting pitchers – for a total of $72. With the given constraints, let’s now maximize our returned value:
| SP Group | AAV | 2018 | Num Players | Cost | Value | % of Value |
|---|---|---|---|---|---|---|
| Top 4 | 41 | 27 | 1.5 | 60 | 40 | |
| 5 to 12 | 29 | 16 | 0.0 | 0 | 0 | |
| 13 to 32 | 18 | 4 | 0.0 | 0 | 0 | |
| 33 to 57 | 8 | 2 | 0.0 | 0 | 0 | |
| 58 to 90 | 3 | 1 | 4.5 | 12 | 6 | |
| Total | 6.0 | 72 | 46 | 63.9% |
Using a solver tool, we can easily deduce that the best way to maximize value is to employ a complete “stars & scrubs” scheme – to select one or two aces from the top 4. In doing so, that mechanism would have provided us with $46 of value, equating to 64% of initial AAV. [Remember, the average was only about 40%!]
Below is the same optimization exercise, with the caveat of holding teams to a maximum of one elite SP:
| SP Group | AAV | 2018 | Num Players | Cost | Value | % of Value |
|---|---|---|---|---|---|---|
| Top 4 | 41 | 27 | 1.0 | 41 | 27 | |
| 5 to 12 | 29 | 16 | 0.7 | 20 | 11 | |
| 13 to 32 | 18 | 4 | 0.0 | 0 | 0 | |
| 33 to 57 | 8 | 2 | 0.0 | 0 | 0 | |
| 58 to 90 | 3 | 1 | 4.3 | 11 | 5 | |
| Total | 6.0 | 72 | 43 | 60.3% |
We can still achieve a 60% of initial AAV – with $43 of total value – by purchasing 2nd tier aces two-thirds of the time, on average.
Finally, below is the optimization exercise one last time assuming that we cannot purchase an elite ace:
| SP Group | AAV | 2018 | Num Players | Cost | Value | % of Value |
|---|---|---|---|---|---|---|
| Top 4 | 41 | 27 | 0.0 | 0 | 0 | |
| 5 to 12 | 29 | 16 | 2.1 | 62 | 33 | |
| 13 to 32 | 18 | 4 | 0.0 | 0 | 0 | |
| 33 to 57 | 8 | 2 | 0.0 | 0 | 0 | |
| 58 to 90 | 3 | 1 | 3.9 | 10 | 5 | |
| Total | 6.0 | 72 | 38 | 52.6% |
We exhibit a large drop-off in this scenario – with only a 53% Value to AAV ratio. It is still decent, but less optimal. The algorithm prescribes us to purchase two 2nd tier aces here, along with four low valued players.
Conclusion:
Obviously, if the ace that you selected in 2018 was Madison Bumgarner, your team started in a large hole. On the other side – if you selected Trevor Bauer, you certainly had a fantastic edge on the competition. But in general – you would have been wise in 2018 to acquire elite arms when possible.
It is not a guarantee that doing so once again in 2019 will provide the optimal use of one’s assets. At the same token, passing over the chance to grab an elite batter (in favor of an elite arm) may not fully work out either.
Certainly, if you have your favorite 3rd or 4th tiered pitcher, or mid-round sleeper to target in 2019 … go for it! You may have good reason to believe that a particular mid-level arm is undervalued and will break out.
But playing the percentages has historically indicated to us that the optimal way to allocate your starting pitching budget is to align yourself close to a “stars and scrubs” methodology. We aren’t all smart enough to know who will break out; sometimes it is best to play the numbers. Optimize your starting pitching spend by purchasing one or even two elite ace starters.
To reference a Ron Shandler strategy – He would refer to this approach as ZIMA. In the 2019 FSTA draft, Ron [out of character] used his first-round selection to draft Jacob deGrom.
The trend of the overall pitching vs hitting spend has been increasing every season. As seen above, owners are spending more and more on a top 5 starter. The key is that the riskiness of a front-line starter is now no greater than that of a superstar hitter. With fewer 200 IP / 200 K pitchers these days, the top pitchers are indeed superstars, and may be treated just as the hitters would.
It seems to be the case, that the best course of action in 2019 may be to zig when everyone else is zigging.
This has been my case for an ace.
Ariel is the 2019 FSWA Baseball Writer of the Year. Ariel is also the winner of the 2020 FSWA Baseball Article of the Year award. He is the creator of the ATC (Average Total Cost) Projection System. Ariel was ranked by FantasyPros as the #1 fantasy baseball expert in 2019. His ATC Projections were ranked as the #1 most accurate projection system over the past three years (2019-2021). Ariel also writes for CBS Sports, SportsLine, RotoBaller, and is the host of the Beat the Shift Podcast (@Beat_Shift_Pod). Ariel is a member of the inaugural Tout Wars Draft & Hold league, a member of the inaugural Mixed LABR Auction league and plays high stakes contests in the NFBC. Ariel is the 2020 Tout Wars Head to Head League Champion. Ariel Cohen is a fellow of the Casualty Actuarial Society (CAS) and the Society of Actuaries (SOA). He is a Vice President of Risk Management for a large international insurance and reinsurance company. Follow Ariel on Twitter at @ATCNY.
ok so i know this isn’t the right place, but I have to ask …. what is it about Brandon Nimmo that has ATC so excited? His projection from you is off the charts!!!
also, the premise of this article is spot-on. Especially in H2H leagues, everyone seems to forget that pitching stats count just as much as hitting stats. I’ve made a living choosing elite SPs at the tops of my drafts while everyone else reaches for hitters.
Re Nimmo – I don’t think that the projections are “off the charts.” I currently have him at 19/10 with a .257 BA. Last year he went 17/9 with a .263 BA. Essentially, I am predicting close to a repeat.
Re SPs … It all depends on what context you are in. Today’s environment is far different from 7 years ago. I had the same experience 3 years ago and 2 years ago. Last year, and this year, the pack is catching up though, and SPs cost a lot more.
Thanks for the reply! I probably should have been more clear – I own Nimmo in an OBP/SLG league, and you have him pegged for .445 SLG and .371 OBP, both of which are at least 20 points higher than any other projection system on FG.
Frankly, if you ask me, ATC is probably the only projection system that I think is close to right. Shave off a little ISO by way of 2-3 HR’s or so, and it looks really good.
Nimmo pulled the ball more last year, he hit the ball harder last year, he walked a ton last year, and he stole a decent amount of bases. None of the peripherals that I’ve seen support the drastic drop off the other systems are calling for him.
But, I’m just a layman without all the tools and I really wish someone would do a write up on him
ATC incorporates some other systems not on FG. For some reason Steamer, THE BAT, etc. is down on him. ATC helps mitigate those outlier projections from 2-3 systems.
Thanks.
Great article, great perspective. The massive array of busts is just astounding. This just flat out explains why my pitching staff just flushed down the tubes last year and I couldn’t believe it. It had gotten so bad I was clinging to James Shields at the end of the season just to get me some quality starts… oh the humanity!
I was amazed when I saw the bust list. Just caution that a 50% return now, is considered excellent. If you buy a pitcher for $25 and he earns $13, that’s a relative win.
But yes, the frequency is horrible. It suggests streaming and S&S.
translating this info to my league, which has IP requirements for a whole staff (900), the argument for an ace or aces is even more profound. you didn’t mention innings in your article so i’m not sure how they impact Tout. Sooo many of the guys in the 2nd and 3rd tier are going to cap at 150 innings.
Would be interesting to see 5 or so years of this analysis run, since it could have been a one-year blip and in reality the lower-tier SP’s returned more value in other years.
Let’s frame this in a H/P split perspective: What do you see as the optimal split for this 2019 season? 66/34? Based on your projections and the z-score $ calculations how much would you adjust the elite guys upwards? And what is the cutoff point for elite?
So the sum of the AAV of these 90 players was about $1,050, but the sum of the positive earned value was only about $500. What happened to the other $500? Obviously most of this comes from starters not on the list (ie Walker Buehler). If I use the auction calculator (15 teams, 6 sp) the sum of positive earned value for 2018 starters is around $910. $660 comes from your list of 90, and $250 comes from players not on the list. Does ~10% of draft money spent on SP end up at another position at season’s end? And if so, should that influence how we spend our draft dollars?
Like the article. So…..what does this calculate to for the optimal Hit/Pitch percentage, rather than 70/30%?
Off hand thought, wouldn’t the work around here be allocating some of those dollars to non-save relief pitching? I have no idea how to work this in to your formula but it seems like a way to supplement quality innings without anticipating a 50% return as a win.
Great, great discussion. I’m with you on the costs. My top five SP from 2015 cost an average of $24.3, but my top five last year cost $39, and my top five this year cost $43. Without trying to force the ratios, my split in 2015 was 73/27, and my split this year is 60/40. I’m using the same forecast systems and valuation methods.
Thanks.
Ariel, what solver tool are you using? Is there an add-on package for Excel?
Any solver tool will work, as there are limited number of inputs here. You can use Excel’s solver tool for this, which will work fine.
the issue is the pitching tiers are so exponential, its very viable to spend no more than $5 on your best SP. and depending on league rules with QS v W, ip limit/minimums etc… you can run out a team of mostly udfa RP & SP and win.
In H2h sure, i can make a case not to spend more than 1$ on any Sp- In roto this is a terrible practice and you will be swimming upstream all year imo
I get your premise, but aren’t so many busts also apt to suppress pitcher prices in 2019? So many of these pitchers should be going at half their ’18 price… at least.
It’s like the stock market. Seems to me that the best value will come from stocking up on buy low candidates, but you’re suggesting paying a premium to buy Apple or Google stock while knowing they are going to return losses. While the top 6 pitchers may have the safest floor, they also have nearly 0% chance to return their investment.
Remember, you need to accumulate as much value as you can at an auction. Let’s say you just buy $1 players. Even if all end up being $5, which is a 400% ROI – 6 SPs that’s $30 of value. You need to also have the volume even at a loss to get the aggregate total as high as it can be.
Its like a major league baseball team trying to accumulate WAR. The low cost players are all better from a $/WAR perspective … but you can’t just have a team full of them … its not enough WAR in the aggregate. You need some WAR on top, even if you are overpaying for it.
Different than the stock market, because you have a spending pool … you aren’t just buying shares.
Presumably if you’ve spent $1 each on 6 SP’s then you’ve spent well over $300 on your hitters. In a points league value is value. If you achieve $24 of surplus value from your starting pitchers as a whole you’ve done pretty well, and if you’ve spent wisely elsewhere to achieve $100 of surplus from the rest of your roster then you may be on your way to a title.
I do appreciate the analysis and agree that the top-tiered SP’s are worth the $. My biggest takeaway is to not pay market value for anybody between the top 10 to 12 and top 50 SP’s, except for players you are particularly high on.
No comment on translation to hitter/pitcher split adjustment?
The hitter/pitcher adjustment is a separate discussion really, which I plan on talking about in another post. This article focuses on the optimization of spend within pitching. If you have X to allocate – where should you spend it?
Yes, this raises questions whether a pitcher Stars+Scrubs strategy is better than just allocating few resources to SP at all.
I think this article interesting, but I am worried that it is flawed in two ways.
First: As noted in other comments, it is based solely on one season. With a total of four aces being involved, it becomes a very small sample size. That is crucial because the reason for many of the “busts” in the middle tiers (and all tiers actually) was injury. 75% of the ace category did not have a significant injury. With only four players and one season involved, and no independent evidence that aces have fewer injuries generally, I think we have to chalk that up to a small sample size.
Second: While it does not matter in relation to bust percentage, the “returned value” analysis showing the bargain bin doing better than the middle tiers has a significant mathematical problem—the artificial floor only value at -2 that was included. With the lowest tier consisting of $4 and under players, except for one, the negative value of any player relative to price was capped at -$6. Of course this leads to a better value returned number. The problem with the analysis, to me, is that even if you assume that a player gets dumped after -$2 in value, you still have to fill that roster spot or the counting stats get away from you quickly. And while there are some undrafted gems that show up on the waiver wire, the fact majority of the time a replacement pitcher is just another meatball who gets dropped after accumulating -$2 in value, and is usually replaced by another such pitcher. If the floor were removed, I would be interested to see what the value returned on the lowest tier was.
Thanks for your comments, and thanks for reading!
As for one season, Alex Chamberlain tweeted out a graph that showed a similar result over a number of seasons.
As for capping, the frequency of successes vs. busts won’t change, but with a lower cap, the returned values get worse all across the board for various price points. The optimization produces the same “ace” results. You have to cap to simulate the notion of streaming, and players who are injured.
Well your on to something and off at the same time- The last tier would be filled with bargains and presumably all owners would be “in” on these guys, not just the “don’t pay for pitching” crowd as they so think- They key then becomes whoe’s getting better (lets call them results/numbers not value) from the pitching they are actually paying for in the above tiers-
The results are simply saying its better to accuire 1 30$ Sp than 2 15$ pitchers
You can not reasonably think you are going to enter a decent active 12 team or above roto league these days and win it with a staff of 5$ and less guys. It just doesnt happen on a great frequency- Now if H2h just disregard that entire battery of the human language above, sorry in rush found your post perplexing though
It’s an interesting perspective, and if the graphs show it is consistent, that is an important point. I wonder if it will continue. I recall reading somewhere (it might have been FG, but I don’t think so) where someone thought that this year this phenomenon (he didn’t completely accurately identify it, but it was more or less the same point about previous seasons) might be ending, and the author was excited about a return of a pitching “middle class.” More or less conceding the point here from previous years, but giving reasons why it might not continue.
Personally, I hope a middle class re-emerges since I can keep Bauer, Taillon, Flaherty, and Folty for a total of $49 in a $300 auction budget league, and cannot imagine not keeping them for those prices. Of course, it seems that it always comes down to injuries with pitching. Intuitively, I would think it would be safe to spread the injury risk to more mid-tier pitching, but maybe the thing is that the “ace” tier is the tier full of guys who generally don’t get injured—i.e. both the ace tiers and middle tiers have very talented pitchers, but the ace tier is the one with the generally healthy ones. For example, I doubt Kershaw falls in the first group this year—it’s all Sale, Kluber, deGrom, Verlander, and Scherzer it appears–and Kershaw has fallen out because of health issues.
Re: injury risk – Unless we already know something about a player (or age, prior injury history, etc.), there isn’t any more injury risk for an ace vs. mid round vs endgame pitcher. I have no reason to believe that Jake Junis is any more of an injury risk than Corey Kluber is and vice versa.
High valued players are much harder to replace than low level players. The are also worth more. Risk of injury should be excluded from your thought process. [Again, unless you know the player has issues, or is a higher risk already, etc.]
You have a great point with spreading the inj risk around a little but I think the price is baked into that in the rankings already(see Max steady 1st rd Kershaw slide)`-
As an auction player only Im more worried about investing in a player thats going to give me a solid base value amount back than making excess value$ on all my buys especially with SP’s – We are all going to run into gems for free in the year so I think the separation you get in the standings is made from the top of the roster- Getting the 1 for 30$ over the 2 @15 also gives you the added benefit of the floating roster spot in the end that we so covet –
As far as the trend continuing I think thats a very grey area where you have to make the call year by year – Thats our job, to notice the market inefficiency, execute the manipulation, pray for health, and then hopefully reap the rewards
Another tidbit to add on buying an ace at the draft is the amount of trade value they add mid-season if you feel comfortable enough to shed them- Anyone whoes ever owned Max Scherzer knows you get about 125% value at the deadline and can often create quite the bidding war by throwing them on the block a couple weeks before-
Thanks for the clever analysis, Ariel. Isn’t the piece that’s missing the opportunity cost of buying an ace, i.e. the hitters you can’t buy for the same dollar/draft spot? Shouldn’t the expected return on hitters in each price range impact the decision, given that the objective is to maximize overall value?
At a draft, yes … the hitters will impact this somewhat. Not a simple answer … yet. At an auction … no. Your budget for pitching shouldn’t have anything to do with your budget for hitting.
Thanks for the quick response. I look forward to you cracking that nut on the draft side…