(Photo: Amelia J. Brackin / Alabama Athletics)

Throws: LHP

DOB: 9/14/94
H/W: 6-1, 205

Acquired: Traded to Atlanta with Luiz Gohara for Mallex Smith and Shae Simmons (1/11/17)
Current Salary: minor league contract
Team Control: through 2022 (MiLB) / 6 seasons MLB

Combined WAR: (no MLB debut)

The Outfield Fly Ruling

Picked up from Seattle in the Mallex Smith trade, Burrows is a future LOOGY, with the potential for a bit more, depending on how much his fastball and changeup come along. He doesn’t presently have a ton of velocity or command, and he’ll need one or the other to get righties out. However, the former University of Alabama closer’s slider is good enough where he should be able to frustrate lefties at the highest levels. (-B. Blackwell, ’16-’17 Offseason)

OFR Articles About Burrows

The OFR Scouting Report

Pitch Arsenal:

  1. Fastball
  2. Slider
  3. Changeup

Stamina – 20

Walk Avoidance – 35 ↑

Burrows issued 11 walks in 24 2/3 innings in low A last year, and as a former college closer with spotty command and reliance on a slider, walks may just come with the territory.

Strikeouts – 50 ↑↑↑↑

It’s still pretty hard to tell what Burrows could be. On one hand, he was a very good closer in the SEC, and he then struck out 37 low-A hitters in 24 2/3 innings. On the other, he was picking on inexperienced hitters with an advanced slider, and he also lost velocity immediately after being drafted, frequently throwing a high 80’s fastball. How much fastball velo does he need to make that slider work at higher levels? Does he even need a fastball at all?

Groundball Rate – 45

Burrows had a 49% groundball rate at low-A, but projections are more bearish on his abilities in this department. I made a compromise between past results and future projections, but it’s still a little too close to guesswork at this point.

20-80 scale, where 20 will prevent you from reaching the bigs, 30 is terrible, 40 is below average, 50 is MLB average, 60 is plus, 70 is plus-plus, and 80 is HOF-level. The OFR Scouting Report is based mostly on statistical forecasting models such as ZiPs, PECOTA, etc. Arrows indicate projected room for growth or decline, with each representing a 5 point movement on the 20-80 scale.



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