Down on the Farm: The Texas Rangers – July 2025

Down on the Farm: The Texas Rangers – October 2025

The Texas Rangers Top 30 Prospects!

Rank Name Position Level Age Projections
1 Alejandro Rosario SP A+ 22 3.56 ERA, 153 IP, 37 BB, 151 K, 8.9 K/9, 1.06 WHIP
2 Sebastian Walcott SS AA 19 114.6 wRC+, 0.255/0.330/0.435, 19 HR, 25 SB, 76 Runs, 74 RBI
3 Devin Fitz-Gerald SS A 19 115.8 wRC+, 0.252/0.340/0.426, 21 HR, 10 SB, 69 Runs, 71 RBI
4 Alejandro Osuna CF MLB 22 108.3 wRC+, 0.254/0.333/0.403, 15 HR, 21 SB, 69 Runs, 64 RBI
5 Yeremi Cabrera CF A 19 105.7 wRC+, 0.241/0.329/0.397, 18 HR, 25 SB, 69 Runs, 64 RBI
6 Hector Osorio CF A 20 107.3 wRC+, 0.245/0.345/0.379, 13 HR, 4 SB, 72 Runs, 55 RBI
7 Jhocsuanth Vargas C A+ 18 101.6 wRC+, 0.247/0.310/0.409, 19 HR, 9 SB, 68 Runs, 67 RBI
8 Abimelec Ortiz 1B AA 23 97.2 wRC+, 0.225/0.299/0.408, 24 HR, 1 SB, 66 Runs, 74 RBI
9 Javier Sanchez C CPX 17 99.8 wRC+, 0.242/0.318/0.388, 17 HR, 3 SB, 64 Runs, 63 RBI
10 Blaine Crim 1B MLB 28 97.7 wRC+, 0.239/0.303/0.404, 20 HR, 3 SB, 63 Runs, 68 RBI
11 Daniel Flames SS A 18 96.5 wRC+, 0.245/0.308/0.390, 16 HR, 7 SB, 66 Runs, 63 RBI
12 Mitch Bratt SP AA 21 4.21 ERA, 151 IP, 44 BB, 125 K, 7.5 K/9, 1.16 WHIP
13 Pablo Guerrero 1B A 18 90.4 wRC+, 0.234/0.287/0.397, 19 HR, 1 SB, 60 Runs, 72 RBI
14 Justin Foscue DH MLB 26 91.3 wRC+, 0.221/0.307/0.369, 16 HR, 5 SB, 63 Runs, 65 RBI
15 Antonis Macias CF A 20 96.5 wRC+, 0.237/0.340/0.338, 8 HR, 2 SB, 62 Runs, 49 RBI
16 Deward Tovar CF CPX 19 88.8 wRC+, 0.217/0.301/0.368, 18 HR, 4 SB, 66 Runs, 61 RBI
17 Juan Sulbaran C AA 19 89.8 wRC+, 0.239/0.298/0.376, 14 HR, 6 SB, 62 Runs, 62 RBI
18 Luis Marquez SS A+ 19 89.8 wRC+, 0.242/0.296/0.379, 15 HR, 6 SB, 60 Runs, 63 RBI
19 Keith Jones II LF AA 23 88.9 wRC+, 0.217/0.312/0.351, 15 HR, 10 SB, 64 Runs, 57 RBI
20 Gleider Figuereo 3B A+ 21 86.0 wRC+, 0.220/0.278/0.392, 23 HR, 1 SB, 61 Runs, 71 RBI
21 Cameron Cauley SS AA 22 81.8 wRC+, 0.222/0.282/0.367, 15 HR, 29 SB, 68 Runs, 61 RBI
22 Anthony Gutierrez CF A+ 20 83.1 wRC+, 0.244/0.298/0.347, 8 HR, 46 SB, 60 Runs, 50 RBI
23 Angel Arredondo SS A 18 90.0 wRC+, 0.222/0.321/0.341, 12 HR, 4 SB, 61 Runs, 53 RBI
24 Kohl Drake SP AAA 24 4.26 ERA, 135 IP, 55 BB, 128 K, 8.5 K/9, 1.21 WHIP
25 Dustin Harris DH MLB 25 83.2 wRC+, 0.227/0.301/0.343, 12 HR, 28 SB, 63 Runs, 52 RBI
26 Maxton Martin CF A 20 82.4 wRC+, 0.227/0.276/0.380, 16 HR, 2 SB, 66 Runs, 66 RBI
27 Curley Martha SS CPX 18 82.1 wRC+, 0.219/0.294/0.348, 14 HR, 14 SB, 62 Runs, 56 RBI
28 David Davalillo SP AA 22 4.39 ERA, 138 IP, 51 BB, 111 K, 7.2 K/9, 1.28 WHIP
29 Malcolm Moore C A+ 21 83.6 wRC+, 0.214/0.301/0.344, 14 HR, 6 SB, 61 Runs, 57 RBI
30 Braylin Morel RF CPX 19 78.5 wRC+, 0.219/0.271/0.370, 17 HR, 11 SB, 62 Runs, 64 RBI

Projected organization depth!

Below are the top projected players at peak for each position at the MLB level.

C 1B 2B SS 3B LF CF RF
Projected Starter Jhocsuanth Vargas Jake Burger Marcus Semien Corey Seager Josh Smith Wyatt Langford Alejandro Osuna Adolis García
Projected Backup Javier Sanchez Blaine Crim Theo Hardy Devin Fitz-Gerald Josh Jung Evan Carter Hector Osorio Yeison Morrobel
Depth Juan Sulbaran Abimelec Ortiz John Taylor Sebastian Walcott Ezequiel Duran Sam Haggerty Yeremi Cabrera Braylin Morel

Starting Pitchers

Projected #1 Jacob deGrom
Projected #2 Nathan Eovaldi
Projected #3 Alejandro Rosario
Projected #4 Kumar Rocker
Projected #5 Jack Leiter
Depth Cody Bradford
Depth Mitch Bratt
Depth Jon Gray
Depth Tyler Mahle
Depth Kohl Drake

Relief Pitchers

Projected Closer David Robertson
Projected Setup #1 Chris Martin
Projected Setup #2 Robert Garcia
Next Up Hoby Milner
Next Up Josh Sborz
Next Up Codi Heuer
Depth Shawn Armstrong
Depth Jacob Latz
Depth Peyton Gray
Depth Grant Wolfram

Top prospects by tool!

Hit Power Speed
Devin Fitz-Gerald – 55 Devin Fitz-Gerald – 55 Anthony Gutierrez – 70
Sebastian Walcott – 55 Abimelec Ortiz – 55 Chandler Pollard – 60
Hector Osorio – 55 Gleider Figuereo – 55 Yeremi Cabrera – 60

Scout the Statline details each MLB organization’s farm system monthly, with a new team featured every day! Check back daily for information on every MLB team.

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Scout the Statline Peak Projections are based entirely on data analysis. Combining performance data with advanced statistics, translating the results to an equalized playing field (the MLB level), and scaling the results up to a player’s peak ages, allows us to instantly compare thousands of players across different ages, environments, and organizations! While the results can often be quite different than you might find from other scout-based analysis, peak projections provide a bias-free look at players with all the best data available, based on sound data science practices!

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