Down on the Farm: The Boston Red Sox – March 2026

Down on the Farm: The Boston Red Sox – March 2026

The Boston Red Sox Top 30 Prospects!

Rank Name Position Level Age Projections
1 Franklin Arias SS AA 19 117.2 wRC+, 0.279/0.336/0.445, 19 HR, 8 SB, 70 Runs, 77 RBI
2 Payton Tolle SP MLB 22 3.46 ERA, 127 IP, 43 BB, 144 K, 10.2 K/9, 1.21 WHIP
3 Connelly Early SP MLB 23 3.53 ERA, 150 IP, 57 BB, 156 K, 9.3 K/9, 1.29 WHIP
4 Marcelo Mayer 3B MLB 22 112.0 wRC+, 0.257/0.325/0.439, 21 HR, 7 SB, 74 Runs, 77 RBI
5 Yordanny Monegro SP AA 22 3.79 ERA, 128 IP, 50 BB, 128 K, 8.9 K/9, 1.33 WHIP
6 Jojo Ingrassia SP A+ 22 3.87 ERA, 95 IP, 38 BB, 94 K, 8.9 K/9, 1.35 WHIP
7 Justin Gonzales RF A+ 18 111.6 wRC+, 0.266/0.331/0.429, 18 HR, 4 SB, 71 Runs, 73 RBI
8 Starlyn Nunez SS A 19 92.2 wRC+, 0.242/0.289/0.413, 19 HR, 12 SB, 73 Runs, 72 RBI
9 Mikey Romero 3B AAA 21 101.7 wRC+, 0.249/0.298/0.438, 21 HR, 3 SB, 76 Runs, 78 RBI
10 Henry Godbout 2B A+ 21 97.4 wRC+, 0.243/0.322/0.381, 15 HR, 7 SB, 68 Runs, 63 RBI
11 Johanfran Garcia C A+ 20 95.6 wRC+, 0.237/0.300/0.405, 22 HR, 2 SB, 65 Runs, 72 RBI
12 Anderson Fermin CF A 18 98.2 wRC+, 0.229/0.335/0.361, 13 HR, 29 SB, 73 Runs, 57 RBI
13 Juan Valera SP A+ 19 4.17 ERA, 114 IP, 48 BB, 95 K, 7.5 K/9, 1.43 WHIP
14 Yophery Rodriguez LF A+ 19 103.1 wRC+, 0.248/0.324/0.404, 15 HR, 2 SB, 78 Runs, 66 RBI
15 Josue Brito 1B DSL 18 105.0 wRC+, 0.211/0.329/0.395, 24 HR, 15 SB, 67 Runs, 71 RBI
16 Allan Castro CF AA 22 95.1 wRC+, 0.235/0.318/0.378, 15 HR, 10 SB, 70 Runs, 63 RBI
17 Yhoiker Fajardo SP A 18 4.38 ERA, 112 IP, 49 BB, 89 K, 7.2 K/9, 1.48 WHIP
18 Avinson Pinto SS CPX 18 81.0 wRC+, 0.228/0.292/0.360, 14 HR, 34 SB, 68 Runs, 59 RBI
19 Ronny Hernandez C A 20 89.8 wRC+, 0.240/0.317/0.359, 13 HR, 1 SB, 61 Runs, 60 RBI
20 Hayden Mullins SP AA 24 4.56 ERA, 133 IP, 67 BB, 126 K, 8.5 K/9, 1.48 WHIP
21 Gerardo Rodriguez C A 19 92.5 wRC+, 0.249/0.304/0.392, 16 HR, 4 SB, 64 Runs, 68 RBI
22 Robert Stock SP MLB 35 4.29 ERA, 131 IP, 53 BB, 115 K, 7.9 K/9, 1.40 WHIP
23 Andruw Musett C A+ 19 89.5 wRC+, 0.234/0.306/0.372, 17 HR, 1 SB, 61 Runs, 65 RBI
24 Yoeilin Cespedes 2B A 19 93.5 wRC+, 0.239/0.290/0.415, 21 HR, 3 SB, 69 Runs, 75 RBI
25 Brady Tygart SP A+ 22 4.37 ERA, 103 IP, 42 BB, 90 K, 7.9 K/9, 1.41 WHIP
26 Chih-Jung Liu SP AA 25 4.63 ERA, 132 IP, 61 BB, 120 K, 8.2 K/9, 1.46 WHIP
27 Miguel Bleis RF AA 21 87.3 wRC+, 0.230/0.291/0.387, 19 HR, 27 SB, 64 Runs, 69 RBI
28 Marvin Alcantara 2B AA 20 84.2 wRC+, 0.246/0.301/0.363, 13 HR, 2 SB, 60 Runs, 60 RBI
29 Tyler Uberstine SP AAA 26 4.54 ERA, 153 IP, 51 BB, 135 K, 7.9 K/9, 1.35 WHIP
30 Enddy Azocar CF A 18 92.2 wRC+, 0.240/0.296/0.401, 19 HR, 9 SB, 66 Runs, 71 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 Carlos Narvaez Romy Gonzalez Kristian Campbell Franklin Arias Marcelo Mayer Jarren Duran Ceddanne Rafaela Roman Anthony
Projected Backup Johanfran Garcia Triston Casas Vaughn Grissom Starlyn Nunez Alex Bregman Yophery Rodriguez Anderson Fermin Wilyer Abreu
Depth Ronny Hernandez Josue Brito Henry Godbout Trevor Story Mikey Romero Tavano Baker Allan Castro Justin Gonzales

Starting Pitchers

Projected #1 Garrett Crochet
Projected #2 Payton Tolle
Projected #3 Connelly Early
Projected #4 Ranger Suárez
Projected #5 Garrett Whitlock
Depth Yordanny Monegro
Depth Patrick Sandoval
Depth Tanner Houck
Depth Brayan Bello
Depth Johan Oviedo

Relief Pitchers

Projected Closer Aroldis Chapman
Projected Setup #1 Justin Slaten
Projected Setup #2 Jovani Morán
Next Up Justin Wilson
Next Up Bryan Mata
Next Up Ryan Watson
Depth Jeremy Wu-Yelland
Depth Greg Weissert
Depth Zack Kelly
Depth Brennan Bernardino

Top prospects by tool!

Hit Power Speed
Justin Gonzales – 60 Josue Brito – 55 Braiden Ward – 80
Franklin Arias – 60 Yoeilin Cespedes – 55 Diomar Hidalgo – 60
Yophery Rodriguez – 55 Mikey Romero – 55 Eliezer Alfonzo – 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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