Analyzing MLB Tommy John Surgeries: Data Insights and Trends from 2000-2024

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tl;dr summary: This post examines the trend of Tommy John surgeries in MLB and MiLB using Process Behavior Charts, revealing that the perceived surge in injuries is within historical variation. The data suggests shifts in patterns rather than a sudden increase, emphasizing the importance of contextual data analysis.

Is there a “spike” or a “rash” of Tommy John surgeries in Major League Baseball this year? Statistically speaking, NO.

I've seen a rash of articles about Major League Baseball pitchers who are now out for the season because they've hurt their elbow and need “Tommy John surgery.” This includes some big names like former Cy Young Award winner Shane Bieber of the Cleveland Guardians.

My favorite player, Shohei Ohtani, isn't pitching this season after having his second Tommy John surgery (thankfully, he can still play as the Designated Hitter).

cubs pitcher throwing a ball with a lean blog logo on outfield wall

Headlines include:

MLB pitching injuries 2024: Key culprits in baseball's elbow epidemic

People are trying to ascribe causes to this, but is it an “epidemic”?? How would we quantify that?

My problem-solving coaches, former Toyota leaders, taught me to look at something like this situation as “a big vague concern.” Is it really a problem? How would we define it? Is it a problem worth running some root cause analysis on? We need data.

Another article jumps to causal analysis:

Why are MLB pitching injuries on the rise? Four possible causes from pitch clock to changes at amateur level”

How is “on the rise” defined? How is a “rash of injuries” defined?

We could have that same conversation about metrics in our business. Do we have “a rash of customer complaints,” and are they “on the rise” in a statistically meaningful sense?

Each upset customer matters. Each injured pitcher matters. But the numbers matter too.

I saw this headline recently:

Clayton Kershaw doesn't have answers for spate of MLB pitching injuries: ‘Nobody knows‘”

What's the operational definition of “a spate” of injuries? Maybe there's no single root cause or set of root causes. Maybe the year-to-year fluctuation is in the range of “common cause variation” or “noise” in the data.

One Way to Visualize the Data

It's not ideal, but at least this article had a chart and additional data points going back to the year 2000:

There's no Tommy John surge this spring. (It's always this bad)

I do love that there's data. I don't love that we get bar charts instead of a line chart (a.k.a. run chart) going from left to right.

The visualization also requires some mental gymnastics to figure out that:

  • MLB surgeries are the grey bar
  • Total “Pro” surgeries (including minor and major leagues) are a color coded number
  • Minor League Baseball (MiLB) surgeries are the Pro number minus the MLB number for a year.
A table and horizontal bar chart showing the number of Tommy John surgeries for pitchers during the first 100 days of each calendar year from 2000 to 2024. The left column lists total "Pro" surgeries across all professional levels, color-coded from green (lower counts) to pink (higher counts). The right column shows "MLB" surgeries for major-league pitchers in gray bars. Early years (2000-2010) show Pro totals mostly between 10 and 20 and MLB totals between 1 and 5. Starting in 2014, Pro totals spike sharply, reaching highs of 38-40 in 2014-2018 and peaking at 47 in 2021. MLB counts also rise during this period, with notable highs of 9 to 11 in 2014, 2015, 2021, and 2024. The chart illustrates a clear long-term increase in Tommy John surgeries compared to the early 2000s. Source: Jon Roegele's Tommy John database.

Now, if you look at just the last two years (and each year is the “first 100 days of the year,” so we're not comparing a full year to a partial), there's what some might call “a huge jump in surgeries from two to nine.” That's also accurately described as “350% increase from 2023!!!!”

Yeah, add exclamation points.

That 3.5x jump would ask people to ask “what happened this year?” when that's not the right question to ask, when we look at the data in context.

Surgeries are UP in MLB. But they are DOWN in MiLB, from 21 to seven.

So the problem is both getting worse (MLB) but also also getting better MiLB).

Better: Look at Line Charts Instead

Rather than co-mingling the MilB and MLB data into a “pro” list of numbers, I'd draw separate line charts for MLB, MiLB, and maybe for the total “pro” number.

You could even put them on the same chart:

Line chart titled "Run Chart (Tommy John Surgeries First 100 Days)." The x-axis shows years from 2000 to 2024. The y-axis ranges from 0 to 40 surgeries. Two lines are plotted: MLB (blue) and MiLB (orange). The MLB line stays relatively low and stable across the period, generally between 2 and 10 surgeries per year, with small peaks around 2014-2015 and again in 2021. The MiLB line is consistently higher and more variable, starting near 7-10 in the early 2000s, rising to 20 in 2010, then climbing sharply from 2014 onward with major spikes around 2015, 2017, 2019, 2021, and 2023, reaching highs of roughly 30-35. Both lines drop noticeably in 2024.

Doesn't this view tell us so much more??? For all of the concern about MLB surgeries, 2024 isn't an unprecedented number (look at the years 2000, 2014, 2015, and 2021).

For those who want to blame the MLB pitch clock for the supposed increase in elbow injuries (a clock that was added to the major leagues in 2023), why did injuries FALL in 2023 compared to 2022?

In the minor leagues, pitch clocks were generally introduced for the 2015 season, but there was an apparently large increase in elbow injuries requiring Tommy John surgery in the 2014 season.

So maybe something else is going on? But is there really a “special cause” (such as a change in rules or policies) that affected the number of injuries.

Best: Use Process Behavior Charts

The best approach would be to use “Process Behavior Charts” (as I write about in my book Measures of Success: React Less, Lead Better, Improve More).

I created separate charts for Major League Baseball and Minor League Baseball. Each chart starts with a calculated average (the green line), and for an initial baseline, I'd use all of the data points from 2000 to 2024. Then, I calculate the Lower Limit and Upper Limit (shown in red lines).

If you're unfamiliar with the calculations, you can find a detailed how-to in my book or in this blog post that I wrote for KaiNexus.

Major League Chart:

X-chart titled "X Chart (MLB Reported TJ Surgeries First 100 Days)." The chart plots annual counts of MLB Tommy John surgeries for the first 100 days of each year from 2000 to 2024 as blue dots connected by lines. A horizontal green line represents the average (center line) at roughly 5 surgeries. Two horizontal red lines represent the upper and lower control limits: the UCL near 12 surgeries and the LCL near -2, shown at the bottom with labels "(2)" and "(4)."

From 2000 through roughly 2013, most points fall between 2 and 6 surgeries with no clear trend. There are two standout spikes well above the upper control limit: 2014 (around 11 surgeries) and 2021 (around 11 surgeries), indicating statistical signals. Other small rises and dips remain within limits. The chart shows no sustained shift in the process, just isolated high outliers and typical year-to-year fluctuation.

Is there any meaningful change in 2024? Have there been any significant changes over time?

To answer those questions, we use the main three rules for detecting a “signal” — an indication that the system has changed so, therefore, there is a “special cause” to identify.

The three rules are:

  1. Any single data point outside of the limits? No
  2. 8 or more consecutive data points above or below the limits? YES
  3. 3 of 4 (or 3 consecutive) data points closer to a limit than the average? No

The only signal we see is a run of below-average data points from 2003 to 2011. This indicates that there hasn't been a “single consistent system” over time. Things have changed… but apparently not in 2024.

So I agree with that headline that concludes “There's no Tommy John surge this spring. (It's always this bad)

But is it “ALWAYS this bad”? Not really.

Here's a version of that chart that highlights the signal:

X-chart titled "X Chart (MLB Reported TJ Surgeries First 100 Days)." The chart plots annual MLB Tommy John surgery counts for the first 100 days from 2000 to 2024 as blue dots connected by lines. A horizontal green line marks the average at roughly 5 surgeries. Upper and lower control limits are drawn as red horizontal lines near 12 surgeries (UCL) and -2 surgeries (LCL).

From 2000 through 2012, most values fall between 1 and 6 surgeries. An orange rectangle highlights a long run of points from 2003 through 2011 that are all below the average line, showing a sustained cluster of low counts within the limits. After 2012, the series includes two large spikes well above the upper control limit: 2014 (around 11 surgeries) and 2021 (around 11 surgeries), indicating statistical signals. Later years show normal variation within the limits and a sharp dip in 2022-2023 before rising again in 2024.

To me, the implication is that it appears there was a shift upward in Tommy John surgeries starting in 2012. What changed then? Were there more injuries? Or were players (and teams and surgeons) more willing to treat injuries with this procedure?

There's a bit of an art to this, but I'm going to re-do the chart using 2001 to 2011 as the baseline for calculating the average and limits.

X-chart titled "X Chart (MLB Reported TJ Surgeries First 100 Days)." The chart shows annual MLB Tommy John surgery counts for the first 100 days from 2000 to 2024 as blue points connected by lines. A green horizontal line represents the average at approximately 3 surgeries. Two red horizontal lines mark the control limits: an upper control limit (UCL) near 7 surgeries and a lower control limit (LCL) near -2, shown along the bottom with "(2)."

From 2000 to about 2012, most values fall between 1 and 6 surgeries, representing typical common-cause variation. In 2014, the count jumps above the UCL to around 11 surgeries, indicating a statistical outlier. A second similar spike appears in 2021. After 2015, the series fluctuates within limits again, with counts gradually rising and then dropping sharply in 2022-2023 before rebounding in 2024.

Starting in 2012, we see signals galore. The year 2012 is the first of 11 consecutive data points above that baseline average. Then the year 2014 is the first of a number of years above the baseline upper limit. As was the year 2000.

What changed in 2012? My next iteration on the chart is using 2012 to 2024 to calculate a new average and new limits.

X-chart titled "X Chart (MLB Reported TJ Surgeries First 100 Days)." The chart shows annual MLB Tommy John surgery counts for the first 100 days from 2000 to 2024 as blue dots connected by lines. A green horizontal line represents the average, which increases slightly beginning around 2012. Red control limits appear as stepped lines: from 2000-2011, the upper control limit (UCL) is near 7 surgeries and the lower control limit (LCL) is near -2; starting in 2012, both limits shift upward, with the UCL rising to about 14 and the LCL rising to around 0.

What are my conclusions from this chart?

  • 2024 is not an outlier that should be (or can be) explained
  • 2024 is “noise” in the new system that was apparently established in 2012
  • Starting in 2012, the average number of Tommy John surgeries more than doubled, from 2.7 to 6.2
  • The year-to-year variation also increased started in 2012

Why are there more surgeries in some years compared to others? It's basically randomness.

Why is the number higher in 2024? We don't know. There's no special cause reason.

Why was the number lower in 2022 and 2023? We also don't know. There's no special cause reason.

Trying to explain those data points in isolation is a waste of time.

Some attribute the increase in injuries to pitchers throwing harder than they have before, which includes a commons strategy of throwing every pitch as hard as you can instead of pacing yourself. Pitchers aren't expected to throw a complete game (or last a minimum of seven innings) like they were through the 1980s.

This 2024 article by an MLB expert reporter, Tom Verducci explores this:

There's a Clear Root to the Injury Issues Plaguing Pitchers

He writes, “The quest to increase velocity has come at too high of a cost: health. It must change.”

Verducci rightfully scolds the MLB players' union chief, Tony Clark, for politicizing a single data point.

Another expert chimes in:

“Essentially the UCL is being pushed beyond what it can take,” says Glenn Fleisig, Biomechanics Research Director of the American Sports Medicine Institute, a leader in his field and a consultant to MLB. “We've developed a situation through mad science where we are pushing the body beyond what the ligament can handle.”

Did this push start in 2012?? Or around then?

Verducci uses a line chart (I love it), looking at the average 4-seam fastball velocity. I just wish the chart started before 2012. The number of surgeries isn't quite going up linearly the way pitch speeds are.

Be warned, the scale of the Y-axis is a little bit visually misleading.

Line chart titled "Average 4-Seam Velo," showing MLB average four-seam fastball velocity from 2012 through 2023. The y-axis ranges from 92 to 95 mph. The line starts around 92.5 mph in 2012 and climbs steadily, reaching approximately 93 mph by 2015, holding near that level through 2017, then increasing again from 2018 onward. By 2021 the average is near 94 mph, and by 2023 it reaches approximately 94.3-94.4 mph, indicating a clear upward trend in pitching velocity over the period.

But I think the point is the same. It seems that the increase in surgeries lines up with the impact of pitching at full-bore speeds on the elbow and the UCL ligament.

This article looks at average pitch speeds over the decades. The analysis is complicated because the technologies and methods for measuring speed have changed. Pitch speed used to be measured at 50 feet from home plate and now it's measured at point the ball is released (a higher speed because air drag hasn't slowed the ball yet). In the 1970s and 80s, pitch speed was measured much closer to home plate.

This Reddit post has data going back to 2002 and a chart.

As Verducci writes, THAT is the issue to look at, not the pitch clock.

Minor League Baseball Charts

Now let's look at the PBCs for MiLB. My baseline chart using all years for the average and limits:

X-chart titled "X Chart (Minor League Reported TJ Surgeries First 100 Days)." The chart displays annual Minor League Tommy John surgery counts for the first 100 days from 2000 to 2024 as blue dots connected by lines. A green horizontal line represents the average at approximately 18 surgeries. Two red horizontal lines mark the control limits: the upper control limit (UCL) is near 35 surgeries, and the lower control limit (LCL) is near 0.

From 2000 through about 2012, annual counts fluctuate between roughly 6 and 16 surgeries. In 2014, the series jumps to around 27 surgeries and remains substantially higher through 2021, with multiple peaks above 30 and values near or touching the UCL in 2018 and 2021. After 2021, counts decline, falling to around 7 by 2024. The chart shows a clear upward shift beginning in 2014, followed by a gradual decline after 2021.

It seems like there's a similar jump, but this time starting about 2014 in the minor leagues. We see signals including eight points below the average, eight points above, and a data point above the upper limit. It's clearly not a single system over those 24 years. Something changed.

So, I'll redraw the averages and limits to show that shift:

X-chart titled "X Chart (Minor League Reported TJ Surgeries First 100 Days)." The chart plots annual Minor League Tommy John surgery counts for the first 100 days from 2000 to 2024 as blue dots connected by lines. A green horizontal line shows the average, which rises sharply beginning in 2014. Red control limits appear as stepped lines: from 2000-2013, the upper control limit (UCL) is near 23 surgeries and the lower control limit (LCL) is near 0; from 2014 onward, the UCL increases to roughly 45 and the LCL rises slightly above 0.

Before 2014, annual counts fluctuate between about 7 and 20 surgeries, all within the original control limits. In 2014 the count jumps sharply upward, followed by a sustained higher level from 2015 through 2021, with recurring peaks around 25-35 surgeries. After 2021, the series trends downward, reaching about 7 surgeries by 2024. The chart shows a clear process shift beginning in 2014, followed by a decline toward earlier levels in the final years.

I'd almost expect to see headlines asking, “Why are Tommy John Surgeries Down So Much in the Minors?”

Think of how misleading the analysis would be with just two data points (“MiLB Tommy John Surgeries Down Two Thirds From Last Year”) or just four (“MiLB Tommy John Surgeries Down 81% Since 2021!”)

A partial graph would be totally misleading:

Alt text: A line chart segment showing blue dots connected by a downward-sloping blue line for the years 2021 through 2024. A green horizontal line appears above the points for 2022 and 2023. A red horizontal line sits near the bottom of the chart. The blue data points decline sharply from 2021 to 2024, with the 2024 point near the lower red line. The x-axis labels visible are 2021, 2022, 2023, and 2024, shown at an angle.

The 2024 minor league data point isn't a signal worth explaining. Neither is the 2024 major league data point either.

Post-Game Commentary

When we look at the full context, the data does not support the idea of a sudden 2024 surge in Tommy John surgeries. Statistically, nothing this year is a curveball or a wild pitch. Both MLB and MiLB numbers stay well within the strike zone of expected variation. The real game-changing moments happened more than a decade ago: around 2012 in MLB and 2014 in MiLB. Those shifts reset the scoreboard, and everything since then, including 2024, is simply routine inning-to-inning fluctuation.

The urge to explain a single year's bump up or down is understandable. But without a statistical signal, those explanations are not analysis; they are swinging at shadows. And swinging at shadows rarely produces hard contact.

A more productive question is not “What happened this year?” but “What changed when the system actually shifted?” The long-term rise in velocity is one plausible factor, and biomechanics research suggests the UCL has been pushed close to its limits. Regardless of the cause, the charts point to a broader leadership lesson: do not chase every hop in the data as if it is a bad bounce. Wait for a real signal before you start running the bases.

This applies far beyond baseball. Whether you are leading a team, a hospital, a factory, or a bullpen, separating signal from noise prevents overreaction to normal variation and keeps you from throwing good effort after bad. It focuses attention on the true system changes, the ones worth stepping up to the plate for.

The conversation about pitcher health is important, but the data tells a more nuanced story than the headlines. To make real improvements, in sports or in business, we need to resist the urge to explain every blip, keep our eye on the ball, and let the system's behavior guide what we swing at next.


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Mark Graban
Mark Graban is an internationally-recognized consultant, author, and professional speaker, and podcaster with experience in healthcare, manufacturing, and startups. Mark's latest book is The Mistakes That Make Us: Cultivating a Culture of Learning and Innovation, a recipient of the Shingo Publication Award. He is also the author of Measures of Success: React Less, Lead Better, Improve More, Lean Hospitals and Healthcare Kaizen, and the anthology Practicing Lean, previous Shingo recipients. Mark is also a Senior Advisor to the technology company KaiNexus.

5 COMMENTS

  1. Joe Sawyer wrote:

    “2020 had only 50 games. Injuries due to use may lag a year or two. 2022 2023 dip due to less use. special cause? Great article.”

    I replied:

    “That’s a great point about 2020 being a Covid-shortened season. Even though the data in the chart is the first 100 days of the year, your point about lagging a year or two is a good one. And the entire minor league season was canceled in 2020.

    Both MLB and MiLB saw an increase in 2021 and then a decrease in 2022.

    Since there are roughly four times as many MiLB teams as there are MLB teams, I should probably have also normalized the data to be more like “Tommy John Surgeries per Total Innings Pitched” at each level?”

    Joe said:

    “One other wonky fact on the innings pitched in minor leagues. 25 % reduction in affiliated/minor league teams after 2020.”

    I replied:

    “Yes, that’s true also… it will be interesting to see what happens to the pitchers (and the data) with that system change. Back to your question of “special cause?” The chart doesn’t show a signal (or at least yet). “

  2. If the pitch clock is supposedly the cause of a supposed increased in MLB surgeries, why does it seem that surgeries are DOWN a bit in the minor leagues, when they’ve had the pitch clock longer?

    Is that because velocities are lower (probably?) in the minors??

Comments are closed.