The Workloads of 2017’s Top Draft Prospects
Hundreds of college pitchers will be selected in the MLB draft over the next three days. They’ll vary widely in talent and readiness, ranging from raw power arms to pitchability-types lacking premium stuff. Many will be tied together by one commonality: heavy usage in college. Last year, I found that deep starts and meager rest stints are all-too-frequent occurrences for collegiate pitchers. Do the same standards apply to the cream of this year’s draft crop?
Let’s focus on the most coveted collegiate pitchers: the projected 2017 first-round draftees. First rounders capture fan attention, pepper prospect lists, and generally have the best shot at becoming solid MLB contributors. Big leaguers will be found in the later rounds, of course, but it’s the first rounders who are paid the most money and carry the highest expectations. So let’s look at the ten NCAA pitchers — starters all — projected by Baseball America to be selected in the first round this evening.
| Pick | Pitcher | School |
|---|---|---|
| 1 | Kyle Wright | Vanderbilt |
| 4 | Brendan McKay | Louisville |
| 8 | J.B. Bukauskas | North Carolina |
| 10 | Alex Faedo | Florida |
| 16 | Griffin Canning | UCLA |
| 24 | David Peterson | Oregon |
| 25 | Seth Romero | Houston* |
| 26 | Tanner Houck | Missouri |
| 30 | Clarke Schmidt | South Carolina |
| 33 | Alex Lange | LSU |
*Formerly; Romero was kicked off the team in May.
I pulled game logs from the NCAA’s statistics pages for each of the pitchers, capturing all of their pitch counts and batters-faced totals from their college careers (up through yesterday’s games). Where the NCAA was missing pitch counts, I recorded the data from game logs on team websites. For the few instances in which this secondary effort bore no fruit, I estimated pitch counts by taking the pitcher’s batters faced total in that game, and multiplying it times the average pitches per batters faced for that pitcher-season.
First, let’s get a sense of the group’s pitch counts alone. Below are probability density curves showing all pitch counts that the 10 pitchers posted in three years of college.

Insights can be gleaned from this tangled web. For one, the majority of the group was kept near the 105-pitch mark most often. For another, the left side displays the prevalence of curves for Romero, Schmidt, and Wright, as they threw quite a few relief outings and short-length starts as collegians. And on the opposite end of the chart, we can see each pitcher’s portion of heavy-usage starts. Every curve spills into the 120-pitch range, but it’s Canning who stands out from the pack. Notice how his powder blue curve’s peak is farther rightward than the other nine; that’s because high-pitch counts have been his norm. Whereas the typical college junior throws at least 115 pitches in 10% of regular-season starts, UCLA coach John Savage pushed Canning past the mark in 50% of his games over the past two years.

No other pitcher in the group can match Canning’s rates of heavy-usage starts, but there are other large workloads of note. Houck’s 115-pitch rate rose to nearly 40% this year, while Faedo, Peterson, and Romero were also used more heavily as departing juniors than as underclassmen. Lange was the only pitcher with at least 18% 115-pitch games in every year of his collegiate career. And only UNC’s Bukauskas finished every season beneath the average rate of lengthy starts for juniors.
Another important component of usage, of course, is rest. Let’s check if the group was given enough recovery time for their workloads by grading them against the rest requirements laid out by Pitch Smart. Put together by Major League Baseball, USA Baseball, and a team of medical experts, the Pitch Smart “rules” for college-age pitchers goes as follows:
| Pitches | Days Off For Recovery |
|---|---|
| 1–30 | 0 |
| 31–45 | 1 |
| 46–60 | 2 |
| 61–80 | 3 |
| 81–105 | 4 |
| 106–120 | 5 |
Even though these guidelines don’t pinpoint a yearly limit for pitchers, they’ll do well to flag sequences of appearances in which pitchers didn’t get enough recovery time. The heat map below shows the rate of games in which pitchers recorded Pitch Smart violations.

Nearly half of pitcher-seasons saw no Pitch Smart violations. Of those that did, most rates were between 6%–8%, or slightly worse than the average 2012–2015 regular-season rate for college juniors (5%). The exceptions are the 14% clip posted by Houck this year, the large 27% rate from Romero’s freshman season, and every year from Canning. Only the UCLA ace had multiple double-digit years, and his violation rate soared upwards with each passing season. Canning finished this year by violating Pitch Smart in 35% of his starts — over 10 times higher than the average rate recorded by 2012–2015 MLB pitchers.
Canning’s draft stock seemed to rise throughout the spring, as he jumped from pick No. 23 to No. 21 to No. 16 in three Baseball America mock drafts over the past month. If you watch Canning pitch, you can understand what makes him desirable: he has command over four pitches, including an impressive curveball and a changeup that flashes above average; his mechanics are smooth and he repeats them well; he’s very athletic and a good competitor on the mound. The caveat for a selecting club is that they’ll be assuming the wear and tear he incurred in college, thanks to a workload that was much heavier than those of his peers.
Gerald Schifman is the lead researcher at Crain's New York Business and a writer at The Hardball Times. He previously worked in the New York Mets' baseball operations department and in Major League Baseball's publishing department. Follow him on Twitter @gschifman.
This is great! thanks.
This is amazing. It’s hard for us stat-heads this time of year to look at the amateurs and take away valuable info, because it’s hard to find and in some cases it just plain doesn’t exist. More please! Thank you!
And worth mentioning Canning has fallen the past few days because his MRI returned some concerns over the weekend.
I wonder if these usage-intensities are more pitcher-based or school/coach-based. And if the latter, does it affect how MLB teams draft from those schools.
There are definitely school-to-school differences. Last year I found that UCLA pitchers are among the most overworked:
http://www.hardballtimes.com/how-hard-are-college-pitchers-worked/
Neat article.
I wish you would have talked more about how perfectly round Houck’s density curve is.
That density chart needs a y-axis for scale. I’m guessing based on the table of data that the y-axis is a full 100% scale.
I left the y-axis off because I think it’s more intuitive to use the density chart to identify general trends rather than precise effects. The exact numbers in the density chart aren’t all that useful; the y-axis spans far below 100% even though the total area under each curve sums to one. The first heat map comes in to give us specific rates.
I don’t know how this works, but I wonder if there are ANY professional incentives to the pitchers to exceed the recommended pitching limits? Seems unlikely to me. Show your stuff in a hundred pitches, pitch every five days, and have good rate stats should get you a top draft position.
So if there are player incentives, they are likely to be collegiate. Like being a team player, helping your alma mater win it all, and just wanting to carry a full load. For an ace, getting benched doesn’t seem like a credible threat. On the other hand of the ledger, the incentives for the coach, the baseball program, and the college all seem to be to get the most out of the pitcher while they are around (minus recruiting troubles from injured pitcher history). I guess college sports incentives has been beaten to death, but these charts are fascinating.
Can someone help me understand…
Aren’t most pitchers used on the same day every week? Granted I know sometimes series start on Thursday instead of a Friday, but that still allows for five days off instead of six. Was Canning being used in relief as well? I didn’t see Houck being used in relief, of course I was mostly checking his starts and not games he didn’t.
All of Canning’s appearances this year were starts. His violations came from the six starts in which his pitch count surpassed 120. Houck also only pitched as a starter; he had five pitch counts exceeding 115, with two of those topping 120.
The Hardball Times piece (linked in an above comment) has more info on general rest patterns for college pitchers.
Griffin Canning’s overuse on the mound is a big red flag. I think the team that drafts him should consider shutting him down for at least a month, if not the whole summer.
Phenomenal. Is there a year-to-year correlation? I assume teams mostly shut down heavy workload college starters until next spring.
I wonder if Canning might have any legal basis to go after UCLA for lost earnings or other damages. His draft stock plummeted as a result of his overuse. At the very least, it may deter future high schoolers from committing to UCLA.
Is there any firm evidence that pitch counts of 125 in college are more dangerous than pitch counts of 100? I thought I read that Dr. Andrews believes it’s the year-round pitching at younger ages that causes damage, but how do we know that Canning didn’t pitch less in travel teams when he was 13-16 than McKay, and that these higher college pitch counts don’t make up the difference? I was pretty sure that the only thing we have a solid footing of evidence for is that the harder you throw in MPH, the more stress on the arm.