Down on the Farm: The New York Yankees – March 2026

Down on the Farm: The New York Yankees – March 2026

The New York Yankees Top 30 Prospects!

Rank Name Position Level Age Peak Projections
1 Dax Kilby SS A 18 107.4 wRC+, 0.257/0.332/0.410, 16 HR, 38 SB, 76 Runs, 65 RBI
2 George Lombard Jr. SS AA 20 102.7 wRC+, 0.236/0.338/0.377, 13 HR, 25 SB, 72 Runs, 62 RBI
3 Ben Hess SP AA 22 4.02 ERA, 144 IP, 65 BB, 146 K, 9.2 K/9, 1.39 WHIP
4 Carlos Lagrange SP AA 22 4.11 ERA, 145 IP, 78 BB, 153 K, 9.5 K/9, 1.45 WHIP
5 Spencer Jones CF AAA 24 101.4 wRC+, 0.235/0.303/0.425, 24 HR, 23 SB, 73 Runs, 76 RBI
6 Elmer Rodriguez-Cruz SP AAA 21 4.14 ERA, 153 IP, 71 BB, 130 K, 7.6 K/9, 1.46 WHIP
7 Enmanuel Tejeda 2B A 20 92.2 wRC+, 0.241/0.319/0.363, 14 HR, 27 SB, 63 Runs, 59 RBI
8 Chase Hampton SP AA 22 4.53 ERA, 145 IP, 56 BB, 128 K, 7.9 K/9, 1.39 WHIP
9 Jace Avina CF AA 22 97.0 wRC+, 0.228/0.313/0.389, 19 HR, 1 SB, 65 Runs, 70 RBI
10 Erick Leal SP AAA 30 4.81 ERA, 148 IP, 58 BB, 121 K, 7.4 K/9, 1.44 WHIP
11 Jorbit Vivas 2B MLB 24 91.4 wRC+, 0.235/0.330/0.339, 9 HR, 10 SB, 65 Runs, 53 RBI
12 Allan Winans SP MLB 29 4.56 ERA, 151 IP, 39 BB, 113 K, 6.8 K/9, 1.35 WHIP
13 Engelth Urena 1B A+ 20 85.5 wRC+, 0.220/0.302/0.358, 17 HR, 1 SB, 59 Runs, 64 RBI
14 Payton Henry C MLB 28 83.8 wRC+, 0.235/0.291/0.373, 17 HR, 1 SB, 62 Runs, 63 RBI
15 Marco Luciano LF MLB 23 98.3 wRC+, 0.222/0.316/0.388, 21 HR, 6 SB, 68 Runs, 68 RBI
16 Bryce Cunningham SP A+ 22 4.88 ERA, 135 IP, 55 BB, 103 K, 6.8 K/9, 1.48 WHIP
17 Kaeden Kent SS A+ 21 81.9 wRC+, 0.234/0.288/0.371, 16 HR, 6 SB, 62 Runs, 64 RBI
18 Richard Matic 3B DSL 17 90.1 wRC+, 0.214/0.311/0.358, 16 HR, 10 SB, 65 Runs, 60 RBI
19 Brian Hendry SP A+ 24 4.44 ERA, 78 IP, 35 BB, 66 K, 7.7 K/9, 1.46 WHIP
20 Xavier Rivas SP A+ 22 4.92 ERA, 137 IP, 75 BB, 120 K, 7.9 K/9, 1.57 WHIP
21 Roderick Arias SS A 20 78.8 wRC+, 0.211/0.292/0.347, 15 HR, 24 SB, 65 Runs, 59 RBI
22 Brandon Leibrandt SP MLB 32 4.70 ERA, 140 IP, 42 BB, 105 K, 6.7 K/9, 1.38 WHIP
23 Nick Burdi RP MLB 32 3.82 ERA, 35 IP, 16 BB, 37 K, 9.5 K/9, 1.34 WHIP
24 Queni Pineda C DSL 18 93.5 wRC+, 0.213/0.319/0.359, 17 HR, 4 SB, 63 Runs, 61 RBI
25 Ernesto Martinez Jr. 1B AAA 26 96.6 wRC+, 0.242/0.315/0.391, 15 HR, 8 SB, 73 Runs, 64 RBI
26 Core Jackson SS A+ 21 76.8 wRC+, 0.217/0.291/0.342, 13 HR, 5 SB, 64 Runs, 58 RBI
27 Tomas Frick C AA 24 78.4 wRC+, 0.219/0.296/0.339, 13 HR, 2 SB, 59 Runs, 58 RBI
28 Jackson Castillo LF AA 22 86.5 wRC+, 0.230/0.310/0.354, 13 HR, 11 SB, 64 Runs, 59 RBI
29 Juan Torres 2B DSL 17 90.6 wRC+, 0.251/0.283/0.404, 19 HR, 20 SB, 59 Runs, 69 RBI
30 Allen Facundo SP A 22 4.80 ERA, 107 IP, 52 BB, 85 K, 7.1 K/9, 1.54 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 Austin Wells Ben Rice Jazz Chisholm Jr. Anthony Volpe Ryan McMahon Jasson Domínguez Trent Grisham Aaron Judge
Projected Backup J.C. Escarra Paul Goldschmidt Enmanuel Tejeda Dax Kilby Oswaldo Cabrera Cody Bellinger Spencer Jones Camden Troyer
Depth Edinson Duran Engelth Urena Max Schuemann George Lombard Jr. Amed Rosario Marco Luciano Jace Avina Grant Richardson

Starting Pitchers

Projected #1 Max Fried
Projected #2 Gerrit Cole
Projected #3 Cam Schlittler
Projected #4 Carlos Rodón
Projected #5 Will Warren
Depth Clarke Schmidt
Depth Ben Hess
Depth Carlos Lagrange
Depth Elmer Rodriguez-Cruz
Depth Luis Gil

Relief Pitchers

Projected Closer Devin Williams
Projected Setup #1 David Bednar
Projected Setup #2 Camilo Doval
Next Up Jake Bird
Next Up Fernando Cruz
Next Up Jake Cousins
Depth Tim Hill
Depth Mark Leiter Jr.
Depth Ian Hamilton
Depth Nick Burdi

Top prospects by tool!

Hit Power Speed
Dax Kilby – 55 Carlos Villarroel – 55 Duke Ellis – 80
Ismael Munguia – 50 Spencer Jones – 55 Dax Kilby – 70
Juan Torres – 50 Tyler Hardman – 55 Christofer Reyes – 70

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.

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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