The Status of the Scouts vs. Stats Debate
“Scouts vs. stats” is an expression that boils a complex, gray issue into clear black-and-white sides,in a way that’s familiar to those who follow political media. In the reality of front-office decision-making, however, this “debate” has been settled for years and the obvious answer was always “both.”
In fact, the issue has moved past simply using both. Until recently, if one suggested that a club should move further toward one side at the expense of the other, anyone could shoot back with a counter example of recent success from the other end of the spectrum. That’s a bit harder do now: two years removed from the Royals’ latest World Series appearance and three years out from the 2010-2014 Giants run, there isn’t a current standard bearer for the traditional point of view, even if that’s just cyclical and I’m using a somewhat subjective label.
The final four clubs standing in each of 2016 and 2017 — the Astros, Blue Jays, Cubs, Dodgers, Indians, and Yankees — would all rank among the top 10 of any industry poll of the league’s most progressive clubs. If you want to argue that their success is the result of variance, a blip, or mere coincidence, this development isn’t just the product of randomness. There’s an actual explanation. In these last two seasons, we’ve seen a fundamental change in the style of play (a greater emphasis on the air ball, quick hooks on starters, more aggressive bullpen usage, etc.) — particularly in the postseason. A progressive club, by definition, will adapt more quickly to such changes.
It is possible, even likely, that this late-season domination by progressive clubs will tail off as the factors changing the game become more standard. Provided the meta factors causing these changes (velocity, the ball, Statcast/TrackMan data) stay consistent and MLB doesn’t intervene (changing the ball or mound height), then it would follow that clubs would converge on the best postseason and team-building strategies. Two areas that seem ripe for exploration are how best to allocate scouting resources (multiple clubs have told me they are kicking around similar ideas) and investment in infrastructure and brainpower to be the first club to truly weaponize Statcast data, now that we have a big enough sample of seasons to have some confidence in the conclusions.
Leaning Back to Scouting?
There’s a case to be made that, in the face of this shift, a club leaning on more traditional valuation techniques could come out ahead. In practice, traditional valuation means weighing scouting reports, makeup information, and trust in player-development staff to drive decisions. Not in place of analytics, mind you, but with a greater weight on these resources than most clubs are currently using.
There are pitfalls to this approach. Something you learn quickly in a front office is that everyone internally knows the strengths and weaknesses of your scouts. I’ll quote Ken Rosenthal here on the topic of Houston’s recent shift in scouting:
While clubs also must filter out noise in their data, some consider the information coming from scouts as nosier. “There is a big population [of scouts] working in this game who are lucky to have jobs. They don’t know anything. They’re professional BS artists,” one executive said.
Analytics are an equalizer, forcing scouts and major league staffers to offer sound rationales for opinions the numbers do not support. The data is more complete. A pro scout might get only five looks at a player over the course of a season, while analytics provide fresh information daily.
Most scouts work hard and do the best they can, but everything that is asked of them sounds ridiculous when you spell it all out. A club is asking a pro scout (watching the minor and major leagues) to have expertise in the collection of makeup information, in grading tools, and then valuing those tools on the open market, all after seeing that player and his 24 teammates for just five or six days — and then to do it 20 more times in a row for about six months, all while living out of a suitcase, writing hundreds of reports, filming some video from their seat, filing expenses every week, and averaging less than two days off a week.
Anyone good at all those things could also likely work in a front office and be closer to the decision-making, sleeping in their bed much more often. With TrackMan data from nearly every minor-league game holding all kinds of invisible facts about the game they just watched, could any single scout seem essential to a progressive front office?
One of the clubs with which I worked tried to “scout the scouts” and see if it was possible to identify empirically who the best scouts were, or even their relative strengths. With most scouts working on one-year deals, you’ll likely promote/demote them at least once and give them four or five new contracts before you even know if they were good in year one. If they were, then they may have changed as an evaluator since then. Or, by virtue of keeping them around for five years and promoting them — and thereby creating a narrative that they’re good — you’ve raised their price before knowing if they are worth that price. It’s very possible the evidence would be hazy enough to suggest the money would be better spent on two hungry entry-level scouts instead.
On the amateur side, you’d need something like a half-dozen years of a scouting director’s entire draft board before you had a statistically significant idea of how good he was. In some organizations, you’ve already fired his replacement by the time you find out how good the first guy was. It’s essentially impossible to prove how good a scout is in a timely enough fashion that it would constitute actionable information. Simply making pro, amateur, and international staffs entirely composed of above-average scouts (that’s upwards of 50 evaluators in total) is easier said than done. You’d only have this scouting-the-scouts data (that is of limited use) on the scouts who had already worked for you for years. You don’t know who made the final call on a high-profile decision or what their whole list was (i.e. how lucky they were to sign the right player) if you’re poaching a scout from another club.
In the very unlikely event that you accomplished the feat of finding the right 50 scouts, the players you sign would likely stand out after a few years and other clubs would just poach the scouts that couldn’t be promoted since only good scouts were ranked higher internally. A raise only goes so far, as most scouts want the chance to make the decisions. The strategy of emphasizing traditional methods isn’t a bad one, it’s just harder to properly execute: there’s more unknowns and it’s a department in which many GMs have never worked.
The Reality of Scouting
There is no replacement for having current tool grades on players. The further from the big leagues, the more important it becomes. One R&D analyst told me he thought scouts were essentially snake-oil salesmen until he did the research and found their reports were the single most important input in a draft model. He didn’t mean their individual rankings were critically important or even the difference between the scouts was enormous and measurable, so much as the tool grades give invaluable context to what the stats and TrackMan data mean. It helped this analyst create a draft board that’s been tested to have greater predictability than any one scout’s list.
You can imagine how some clubs see this landscape and decide to treat scouting like an assembly line: young, cheap, enthusiastic workers who can handle computer-admin work and a video camera are primarily tasked with sending in tool grades so the office can use them in a comprehensive analysis for the most accurate valuations. It’s not hard to convince owners that this is the best way to get more correct evaluations for lower prices than traditional methods would provide.
You can also see how a scout would quickly feel worthless working in such an environment, no matter how enthusiastic they were on day one.
The Conundrum
There’s a cost to drifting too far toward the analytical end of the spectrum, as well. Clubs that run their drafts primarily off of a model aren’t frustrating just to area scouts; some crosscheckers and special assistants (the highest rankings scouts in the draft room behind the scouting director) feel powerless as a group in their draft rooms relative to the influence exerted by the analytics department.
Imagine you’ve a national crosschecker with 25 years of experience in the game. You kill yourself with one day at home a week for four straight months trying to learn everything about the players in your region leading up to the draft — this, after seven months of preparation scouting these players in the preceding summer and fall. Then you get in the draft room and start stacking the board as a department when a couple guys from the office who saw zero players — who don’t know how to scout and first started working for a club a few years ago — have more weight in the room than you do.
Now imagine you’re the GM of that club and there’s hard evidence with which you’ve wrestled for five years essentially proving that the stats and exit velocities, etc., from a player’s entire career are more predictive for decision-making than what a scout saw for one or two days in the spring.
By virtue of the crosscheckers, analytics team, and GM all doing the best they can, working as hard as they can, and making the best possible decision for the franchise with no agenda, any one disagreement over any of the nearly 1,000 names on the board could split the room apart and turn it into two warring factions. Maybe your top scouts will leave and go to a more traditionally run club where their voice has more weight in the process. Maybe they’ll bad-mouth you enough on the way out that you have to overpay to get experienced scouts on staff in the future. It may just be easier to embrace the assembly line scouting approach and dive further into analytics.
Given this context, you could also understand why there are plenty of instances of shouting matches in draft rooms (or just outside them). You could also see why more progressive-minded clubs see low-level scouts as a more fungible asset and thus have trouble keeping them on staff as they get more experience, while the more traditionally minded clubs have generally better and happier scouts along with more and better traditional scouting information, as that makes up a larger percentage of how they stack their board.
A Common By-Product of a Progressive Approach
In the event that this embrace of progressive methods continues and intensifies, many clubs will be valuing players using similar methods. This is already happening, as sources have told me a major reason why this offseason is moving so slowly is many clubs value players similarly, making it hard to match up for trades. Clubs also have similar valuations or wait-and-see strategies for free agency, leading agents to wait for separation or activity in the market. This was echoed by Ken Rosenthal in a recent article about why the offseason is moving slowly:
At times, the entire sport seems to suffer from an advanced case of paralysis by analysis. It’s a culture of fear — many GMs are reluctant to trade prospects and sign free agents, terrified of facing criticism if they make a mistake. The GMs become too process-oriented, passing on opportunities to improve, protecting their long-term plans. There is no incentive for them to act with greater urgency; few face an immediate threat to their job security…In too many cases, the goal is to win tomorrow, not today.
I’ve also seen concrete examples of the limitations of this approach. I’m aware of of a high profile instance of a progressive club turning down an attractive deal for one clearly superior prospect, instead choosing multiple lesser prospects, an example that would’ve shocked readers at the time and still would today. When I asked a member of that front office to explain the thought process, he said that they saw minor leaguers as gambles. Getting only one player for a premium asset means that the one prospect could bust and give them nothing (read: bad PR on a high profile trade), so they opted to diversify with multiple assets. I’m almost certain this club would’ve traded three similar assets for a premium prospect in a vacuum, so the PR of a high profile trade made them take different players than they would normally. I’m also aware of enough trade talks over the years with this club and other clubs with a similar process to see multiple examples of this thinking.
There’s another progressive club that would shock you with how their draft decisions are made, essentially letting their draft model make the picks so that no one decision-maker is tied too strongly to a certain pick. You can spot clubs that operate this way because, regardless of outcome, their upper-level executives never get fired. Rosenthal is hitting on a topic that drives some people in baseball mad, but is increasingly becoming reality given the sophistication of analysis that fans and even the owners regularly read online: the risk-averse, performative rebuild. “Trust the process” is increasingly no longer just a plea for patience to see a sound long-term plan through; it’s a vehicle for job security and for the public to defer judgment.
A Caveat
I’m intentionally painting with a broad brush here, labeling clubs as progressive or traditional. In reality, different tendencies can exist within the same club, department to department, due to a variety of factors. Most clubs in most years don’t have shouting matches in the draft room. That’s not because there isn’t tension, though: it just takes one blowup to know what’s worth fighting over and where you stand. If you think of progressive/traditional as a left/right political spectrum, I think, across all departments, basically every club these days in aggregate is no more extreme than center-left or center-right. There will be outlier or impulsive decisions at times, and some clubs may ignore some data that others think is key, but everyone generally has the same information now and acts accordingly.
What’s the Answer?
I’ve tried to be even-handed in presenting these issues, and I’m honestly in the middle on most topics — in part because I have some experience in the trenches on both sides. I’ve seen and, in some cases, created the research that backs up a progressive, analytically driven process that coldly comes to the best possible conclusion via the scientific method, often prioritizing data over scouting reports.
I’ve also seen clubs that embrace this philosophy too much and keep making the same mistakes with valuation due to the blind spots this approach can create: ignoring makeup, for example. This alienates their staff and the industry at large, all to improve a process at the margin. That strategy with that implementation often isn’t worth it. I’ve personally seen disenfranchised scouts from these organizations essentially give any information that’s asked for to a traditional club in hopes of getting a job they deem better for them and their families. A poorly implemented progressive approach has lots of similar “leakage” that isn’t included in their presentations to ownership outlining why their approach is superior.
On the other side of the spectrum, there’s sometimes a laughable ignorance of how analytics can enhance scouting along with a lack of curiosity to investigate it or even listen to someone talk about it. You can have all the scouting reports and makeup information and intel you want, but if the decision-makers can’t weigh that information correctly, the decisions will be poor.
There isn’t an objectively correct answer, obviously. It comes down to the execution and flexibility of the analysis and the internal communication about it. The most successful organizations generally have decision-makers who understand both sides are equally important, then weigh the factors differently depending on the decision, honestly communicate that to their staff, and ensure (as much as possible) that the staff is generally happy with the outcomes, which tend to be above average. Being tied to that kind of organization makes you more attractive to other clubs for promotions, as well.
Given the uneasy relationship between many scouts and their front offices, it would seem to further underline the need for executives that are fluent in both progressive and traditional approaches to valuation, with perhaps the most important characteristic being the people skills to get employees on both ends of the spectrum to buy into the club’s vision.
Kiley McDaniel has worked as an executive and scout, most recently for the Atlanta Braves, also for the New York Yankees, Baltimore Orioles and Pittsburgh Pirates. He's written for ESPN, Fox Sports and Baseball Prospectus. Follow him on twitter.
Man, talk about coming back to Fangraphs with a bang. Fantastic column, Kiley!
Yes, more of this please. Oh man is it good to have Kiley back!
GREAT article. There is just SO much that goes into running and organizing a scouting department. I think it helps to break it down into the following categories: MLB Scouting, Minor league scouting, US Amateur Scouting, Lat Am Amateur scouting. To one degree or another there are advantages in all four of these areas to improve scouting and it’s going to be SOOO important to somehow identify those players that can improve with alterations. About the only thing you can’t improve is speed but everything else CAN improve with work. Routes to balls, fielding, throwing, hitting, etc. We may all know who Bryce Harper is, but who is going to be the next Justin Turner? I think one key component that you briefly gloss over but definately needs to be addressed is a scout’s time with a team/league. if 5 or 6 views a year is not enough, then somehow team(s) have to provide a scout more time with one specific league so a scout can see a player 15, 20 or even 30+ times over a year to make a better evaluation and they should also specifically cover what can be improved and what cannot and develop some sort of ‘baseline’ for good scouting.
Amazing piece Kiley! I was wondering re your point about scouts only getting a few looks at a guy each draft class, do/should teams use an analytical approach to identitying notable players to narrow the field? That way you might be able to get 7/8 looks at a particular player rather than 5 and gives you better data.
Fascinating! Two questions:
1. Yes, scouting is imperfect, but is it still fair to say that the vast majority of minor Leaguers with serious potential get identified and get their chances by some te eventually? Baseball seems to be the game of exhaustive chances, not so in football and basketball.
2. I would love to see a list of the common scouting territories. What is the biggest, what is the smallest, which are the most and least desirable? Is scouting other teams the best gig of all? If the Yankees have a random series against the Padres in June will they bother with scouting the Padres in advance?
I’m sure that California, Texas, and other warm-weather states are heavily scouted while the cold weather states don’t receive as much attention.
Sure, so teams might have an orange county, CA, scout. Probably a desirable territory. So, the vast, upper Midwest territory is probably undesirable. I think the Virgin islands or Dutch Antilles might be awesome.
Great, insightful post Kiley. While I mourned your department from the Braves, I’m happy to have the pleasure to read your content.
I would love to see statcast introduced into the MiLB realm. I understand how this could be cost prohibitive; however I think at least starting with AAA and AA would be a nice compromise. Also the AFL would be a great venue for this, and in a sense it may be in play to some extent. I remember seeing velocity data on Acuna’s outfield throw clocked at 95+ MPH so that technology could already be in place for AFL games — or at the very least the Fall Stars game.
I also recall a exit velocity of 112+ MPH from Acuna but can’t remember if it was an AFL game or in AAA. At any rate it was the highest recorded exit velocity of any Braves player, both majors and minors.
Is it possible to put radar guns on exit velo and throws from SS, 3B and OF?
“Is it possible to put radar guns on exit velo and throws from SS, 3B and OF?”
This is already done at Perfect Game showcases.
Thanks Kyle!
If I remember correctly from either an article I read or a podcast I heard all AA and AAA teams have Trackman (Statcast competitor) installed and it wouldn’t surprise me if all full-season ball stadiums have put it in by now. I believe there’s some sort of legal reason MiLB has Trackman instead of Statcast but that’s all I’ve got. Also a bunch of the bigger college programs have these types of systems installed but I’m not sure how well or if the information gets disseminated to teams.
Trackman is not a Statcast competitor; Trackman is an integral part of Statcast. Are you thinking of PITCHfx, perhaps? It may still be installed in some MiLB stadiums.
Statcast is traditional scouting made measurable. All of the statcast stats are old school scouting categories that have been around for decades.
Statcast term/old school scouting term
Exit velo/raw power
Launch angle/loft to swing
Sprint speed/home to first, 60
Spin rate/ pitch movement
Nothing statcast measures is new, if anything statcast made traditional scouting measurable and replaced the old indirect/correlative stat scouting (on base percentage, ERA…).
Statcast is still traditional scouting but done by a machine instead of a human and much more objective and precise.
Definitely not true. Kinematic analysis is not yet nearly advanced enough to predict/project arm action or other traditional scouting grades. All attempts to do so that I’ve tried have failed and I’m pretty sure it is safe to assume this is true across MLB.
Raw power / bat speed can produce terrible Statcast-derived results if coached by someone like Stanford’s former coaching staff; this would be another error in machine-based analysis.
There are many things machine-derived metrics can replace and augment, but also many things where qualitative analysis (“scouting”) remains important today and into the future.
Thank you.
Oops, my thank yous double post. Sorry about the faux pas.
That’s true kyle, the mechanics aspect has not been quanified completely and still is an important scouting topic. However strides in that regard are made too (for example bat sensors) albeit it will take longer until you get a complete picture.
In 7 years we’ll wonder why we ever used bat sensors to begin with. It’s ridiculously outdated and inaccurate technology.
This issue of identifying scouting talent before you have a track record is one that tech companies have tried to address by using detailed simulations of many aspects of the work. Whatever other issues these have, these simulations do get rid of the people who are “BSing.” And if you then tell me that Scouts’ skills are untestable, then there’s the serious problem of valuing and allocating resources to this unmeasurable skill.
They aren’t untestable; they’re just not testable using a frequentist backwards-looking approach (as Kiley detailed).
I think I used the word simulation too ambiguously. If scout skill is testable by having scouts evaluate a simulation made of players with known outcomes, and this process for screening scouts is being used, hearing more about it would be interesting because it would seem to prevent a problem cited in the piece: “[Some scouts] don’t know anything. They’re professional BS artists.”
Delete
Hey Carson! Add a space in the first sentence!
The real market inefficiency is projecting breakout and breakdown scenarios correctly and then weighting the probabilities appropriately. This is why you need a great scouting department in addition to good analytics. I believe the Yankees are much better than anyone else in baseball in doing precisely this.
So it’s not the fact that they consistently have a payroll which is 50% above MLB average?
Why did the Yankees trade for Didi, Hicks and Chad Green?
Probably the same player evaluation methodology that led them to trade for Javier Vazquez (twice) and to pay ARod more than $300 million. (He received his final check from the Yanks just two weeks ago). The unintentional irony of your ID is great, btw.
You should use your time machine to go even farther back to get more examples.
Absolutely not. There is not enough data to make this assumption.
Taking into account the Sonny Gray trade, please rethink some of your measureables that youve incorporated.
I’ve pursued baseball operations and baseball analytics roles over the last few years, and the single question every team asks is this: “How would I weigh scouting versus data in decision making?”
This is an industry-wide area of development.
“I’m aware of of a high profile instance of a progressive club turning down an attractive deal for one clearly superior prospect, instead choosing multiple lesser prospects, an example that would’ve shocked readers at the time and still would today.”
I want to speculate about this. High profile trades that might qualify: Verlander (not progressive selling team), Chapman (top prospect was included in Torres), A. Miller (Best prospect was included in Frazier), Darvish (don’t know that I’d call Texas progress but this is my backup pick), Quintana (top prospect in deal in Eloy). That leaves the A’s return from the Yanks for Sonny Gray. I bet Torres was on the table. Thoughts?
I highly doubt Torres was on the table.
Gray is a #2 with red flags.
ok so what trade better fits the criterion? He did say it would shock us.
He also didn’t say it happened this past year…
My first thought was the White Sox trading Adam Eaton to the Nationals for Lucas Giolito, Reynaldo Lopez, and Dane Dunning. Were the Nationals also willing to trade Victor Robles straight-up for Eaton?
I don’t know whether the White Sox are considered a progressive club, but maybe that trade was one of the “multiple examples of this thinking” that Kylie mentions at the end of the paragraph.
I’m thinking it was the A’s in the Sonny Gray deal.
I wonder if the analysis paralysis and looking long term means guys like Anthopolous and Dombrowski, both of whom seem to me more willing to trade future considerations for win now pieces than the average GM, have an against-the-grain edge.
They also understand the CBA unlike other AL East teams.
I have a problem with the arbitrary distinction of progressive clubs. The benchmark is arbitrary as is the assessment. This feels a lot like simply labeling successful teams as progressive. This is a great way to further a progressive narrative. Those progressive teams have tons of talent – they would fit any model of progressive baseball, including the one that you describe. I don’t claim to know who the progressive teams are, but listing successful ones is easy, like the Diamondbacks… Almost by definition, a truly progressive group would be doing things that we are not aware of and they would certainly be doing things that most of us don’t understand. How are you supposed to assess that? You can’t.
I would think that mining talent and exploiting every advantage would be critical to small market teams with little talent, but that is not really what you are pointing at. Those progressive teams you list are deep everywhere – I would argue that you are pointing out depth rather than progressive philosophy. When MLB decided to start using magic baseballs, it is the teams with the most options that are most likely to have guys that can succeed at the new game. It’s not like these teams turned a bunch of pumpkins into stars, it is the exact opposite. The teams at the top are feasting off of the rebuilding bottom-dwellers. I don’t think that is really a new idea, but the idea of melting down your franchise is!
Agree wholeheartedly that big spenders tend to be good because they spend, not because they are progressive. But I think the author’s perspective is one of a recent insider, so his defintion of “progressive” probably has more to do with private methods he has personally observed than with public outcomes.
That said, I look forward to McDaniel supplying at a least a few examples of what he thinks makes the teams he cites qualify as more progressive than average.
Example of big spender not being progressive: the Philadelphia Phillies maintained one of the highest payrolls in MLB between 2009-2014. In 2010, they offered Ryan Howard one of the most absurd contract extensions in recent history.
You could make the same case with the Angels signing Pujols and Hamilton.
These were not bad deals in retrospect, but widely panned at the time of signing.
A rich team can spend their money efficiently or ineffeciently. The progressive ones are the ones that have found ways to do it efficiently.
You could start with the teams that signed Tom Koehler, Julie Chacin and Joe Smith.
Disregard the team that traded for Sonny Gray, Giancarlo Stanton and Aroldis Chapman.
You lost credibility with “magic baseballs” and “rebuilding bottom-dwellers”.
You can explain this as easily with portfolio theory, instead of assuming the GMs fear is “bad PR on a high profile trade”.
“I’m aware of of a high profile instance of a progressive club turning down an attractive deal for one clearly superior prospect, instead choosing multiple lesser prospects, an example that would’ve shocked readers at the time and still would today. When I asked a member of that front office to explain the thought process, he said that they saw minor leaguers as gambles. Getting only one player for a premium asset means that the one prospect could bust and give them nothing (read: bad PR on a high profile trade), so they opted to diversify with multiple assets.”
You didn’t finish the paragraph.
“I’m almost certain this club would’ve traded three similar assets for a premium prospect in a vacuum, so the PR of a high profile trade made them take different players than they would normally.”
So no this is not only about diversification.
PR doednt factor into any business model in sports.
I would be curious to see this ranking of analytics-oriented (or “progressive”) teams, as they are called. Yes, it’s pretty obvious that the Astros, Dodgers, Cubs, the Clevelands, Blue Jays, and Yankees are in the Top 10. Probably also the Pirates, Rays, Brewers, and D-Backs. That’s 10 right there. But that leaves out the Braves and Red Sox. So now we’re at 12.
Now, what about the bottom 10? This is way harder. The Marlins and Tigers are definitely more scouting-oriented than analytics-oriented. After that it gets hard. I’ve heard the Orioles, Reds, Rockies, and Rangers. Maybe the Giants? The Angels? Mariners? All of those last 7 teams have made a lot of investment in quantitative methods.
The point it is way easier to come up with teams that use statistical approaches than those that don’t.
And we don’t know how the new Marlins are inclined yet, either.
Hill is still officially in charge, and he’s part of the old crew. I’m not sure who is running the show there, but I’d default to him unless we know otherwise.
You have the Red Sox in the wrong group. Dave and others at FG have regularly identified them as one of the least progressive/analytically-inclined FOs (at least the Dombrowski version; the Epstein FO was probably in the progressive group at the time.)
This is incorrect. Example: Rick Porcello.
The Yankees are not in the Top 10.
Warm climate players are, almost certainly, going to be more advanced at drafting age than their northern counterparts but that really has nothing to do with true talent and will often give a very distorted picture of future performance. For years Connecticut, where I live, had no native born players in the major leagues. In recent years that has changed but the kids filling the end of the benches in the NYPL are not from around here. To be drafted from my part of the country it helps to be George Springer, Matt Harvey or A.J.Pollock to get a chance and all of these Connecticut born stars were not signed out of high school but had to show their talent in college. Even Mike Trout who was seen be many teams, if not most, as the best player in his draft class, could not erase that stigma of being a cold climate player and several teams went for the “safe” pick. There must be a better way to scout cold climates and that could be an area that some progressive organizations could exploit. The question I bring forward is which method is better at finding these obscure players. It is unreasonable to expect teams to scout these parts of the country with eyeballs but numbers don’t change whether you come from Sanford, ME or Sanford, FL., but how do we extrapolate that information? The kid from Florida might have already approached his peak while the one from Maine has shown only been able to show a small part of his ability. It is not unreasonable to think that the machine cannot measure this but an experienced scout can. I will never be convinced that BOTH will always be the best answer.
Canada has produced fine players.
Similar analysis has been done of draft picks in the NFL and most studies have suggested that no front office has been consistently good at identifying talent, although some are consistently bad.
What I find interesting is that the evidence suggests NFL drafting requires skill (because, even accounting for playing time, teams consistently take talented players earlier), but we see very little separation between teams. Seems suggestive that NFL scouting requires some degree of minimal competency, after which the differences are too marginal to detect in retrospective analyses…
I’m glad you’re back, this was terrific
This was hands down the best baseball article I’ve read in many years. Thank you for the wonderful insight into how the game is being played at the management level.
“You can spot clubs that operate this way because, regardless of outcome, their upper-level executives never get fired.”
You can also look for a giant green parrot in the stands.
To suggest that scouts offer opinions on players without some numbers to back up their claims is highly suspect. My visits to Spring Training and the AZ Fall League always allowed me to see the habits of these scouts… they do a job that is worthy of the investment. The executive who proclaimed some scouts are lucky to be employed and are just BS artist hasn’t been in business (any business) very long.
The problem I have with analyzing data is situational awareness. I think sometimes you will see in person how they are able to come through or not. Also, there is something about seeing the player and how they are carrying themselves which gives you more confidence in your decisions. Something I see with all businesses and not just baseball is the want for machine learning but I don’t believe the process for that is quite here yet. So we are kinda stuck in this hybrid world while businesses try to be more lean and analytical.
Thank you. Fantastic piece.
The Milwaukee Brewers should definitely on the progressive list.
The Yankees analytics – maybe some regression…
I can’t help but notice that the “progressive” teams also have money. As the CBA prevents the rich teams from spending on their rosters, it gives them that much more ability to be “progressive.”