Down on the Farm: The Houston Astros – September 2025

Down on the Farm: The Houston Astros – October 2025

The Houston Astros Top 30 Prospects!

Rank Name Position Level Age Projections
1 Pedro León RF MLB 27 105.0 wRC+, 0.237/0.307/0.431, 25 HR, 23 SB, 67 Runs, 75 RBI
2 Brice Matthews SS MLB 23 100.9 wRC+, 0.224/0.318/0.395, 20 HR, 32 SB, 73 Runs, 65 RBI
3 Joseph Sullivan CF AA 22 100.1 wRC+, 0.207/0.342/0.352, 16 HR, 29 SB, 70 Runs, 57 RBI
4 Shay Whitcomb 3B MLB 26 93.2 wRC+, 0.227/0.285/0.412, 26 HR, 15 SB, 60 Runs, 77 RBI
5 Colton Gordon SP AAA 25 4.17 ERA, 153 IP, 44 BB, 126 K, 7.4 K/9, 1.13 WHIP
6 Sami Manzueta SS DSL 16 95.9 wRC+, 0.215/0.320/0.368, 18 HR, 9 SB, 64 Runs, 63 RBI
7 Zach Cole CF AAA 24 88.3 wRC+, 0.207/0.291/0.382, 20 HR, 18 SB, 74 Runs, 67 RBI
8 Kevin Alvarez CF DSL 17 92.5 wRC+, 0.236/0.304/0.379, 15 HR, 13 SB, 65 Runs, 62 RBI
9 Jancel Villarroel C A+ 20 93.1 wRC+, 0.237/0.309/0.374, 14 HR, 9 SB, 65 Runs, 60 RBI
10 Ethan Frey OF A 21 91.5 wRC+, 0.232/0.311/0.363, 15 HR, 18 SB, 62 Runs, 58 RBI
11 Will Bush C AA 21 93.2 wRC+, 0.214/0.315/0.365, 18 HR, 1 SB, 64 Runs, 63 RBI
12 Anthony Huezo CF AAA 19 86.2 wRC+, 0.211/0.285/0.382, 21 HR, 18 SB, 67 Runs, 67 RBI
13 Jacob Melton CF MLB 24 82.2 wRC+, 0.220/0.281/0.371, 18 HR, 33 SB, 60 Runs, 65 RBI
14 Anderson Areinamo SS DSL 18 86.1 wRC+, 0.225/0.289/0.375, 19 HR, 13 SB, 57 Runs, 66 RBI
15 Juan Rojas SS DSL 17 88.9 wRC+, 0.216/0.321/0.335, 13 HR, 9 SB, 63 Runs, 52 RBI
16 Luis Baez RF AA 21 85.7 wRC+, 0.231/0.282/0.384, 18 HR, 6 SB, 60 Runs, 68 RBI
17 AJ Blubaugh SP MLB 24 4.30 ERA, 139 IP, 58 BB, 126 K, 8.2 K/9, 1.21 WHIP
18 Yamal Encarnacion 2B AA 21 84.5 wRC+, 0.236/0.304/0.343, 10 HR, 31 SB, 59 Runs, 51 RBI
19 A.J. Blubaugh SP AAA 23 4.31 ERA, 138 IP, 47 BB, 115 K, 7.4 K/9, 1.21 WHIP
20 Santiago Martinez 3B DSL 17 84.5 wRC+, 0.214/0.321/0.317, 10 HR, 25 SB, 60 Runs, 47 RBI
21 Pablo Martinez 2B DSL 17 82.9 wRC+, 0.224/0.300/0.343, 12 HR, 20 SB, 60 Runs, 54 RBI
22 Karniel Pratt LF CPX 20 79.5 wRC+, 0.213/0.303/0.323, 11 HR, 39 SB, 61 Runs, 49 RBI
23 Alejandro Nunez SS A+ 20 83.0 wRC+, 0.237/0.289/0.360, 12 HR, 17 SB, 59 Runs, 58 RBI
24 Sandro Pereira 2B CPX 19 81.5 wRC+, 0.214/0.305/0.329, 11 HR, 23 SB, 63 Runs, 50 RBI
25 Juan Sierra LF CPX 19 84.4 wRC+, 0.223/0.299/0.351, 14 HR, 4 SB, 60 Runs, 57 RBI
26 Yensi De La Cruz OF DSL 18 78.3 wRC+, 0.218/0.273/0.365, 17 HR, 17 SB, 64 Runs, 62 RBI
27 Nehomar Ochoa Jr. RF A 19 80.5 wRC+, 0.215/0.281/0.362, 18 HR, 8 SB, 58 Runs, 63 RBI
28 Miguel Ullola SP AAA 23 4.42 ERA, 137 IP, 81 BB, 136 K, 8.9 K/9, 1.34 WHIP
29 Lucas Spence CF AA 22 81.6 wRC+, 0.209/0.303/0.332, 11 HR, 11 SB, 65 Runs, 54 RBI
30 Anderson Brito SP A+ 20 4.34 ERA, 125 IP, 68 BB, 119 K, 8.6 K/9, 1.36 WHIP

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 Yainer Diaz Christian Walker Jose Altuve Carlos Correa Isaac Paredes Taylor Trammell Joseph Sullivan Jesús Sánchez
Projected Backup Victor Caratini Zach Dezenzo Brendan Rodgers Jeremy Peña Cam Smith Cooper Hummel Jake Meyers Pedro León
Depth Will Bush Jon Singleton Yamal Encarnacion Brice Matthews Ramón Urías Chas McCormick Kevin Alvarez Ben Gamel

Starting Pitchers

Projected #1 Framber Valdez
Projected #2 Hunter Brown
Projected #3 Brandon Walter
Projected #4 Colton Gordon
Projected #5 Spencer Arrighetti
Depth Ronel Blanco
Depth Luis Garcia
Depth AJ Blubaugh
Depth Hayden Wesneski
Depth Miguel Ullola

Relief Pitchers

Projected Closer Bryan Abreu
Projected Setup #1 Josh Hader
Projected Setup #2 Bennett Sousa
Next Up Bryan King
Next Up Steven Okert
Next Up Logan VanWey
Depth Craig Kimbrel
Depth Julio Rodriguez
Depth Kaleb Ort
Depth Enyel De Los Santos

Top prospects by tool!

Hit Power Speed
Kevin Alvarez – 50 Shay Whitcomb – 60 Karniel Pratt – 70
Ethan Frey – 50 Anthony Huezo – 55 Santiago Martinez – 60
Jancel Villarroel – 50 Zach Cole – 55 Joseph Sullivan – 60

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What are Scout the Statline Peak Projections?
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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