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Down on the Farm: The Kansas City Royals – March 2026

March 9, 2026 · Kansas City Royals · Ross Jensen

Down on the Farm: The Kansas City Royals – March 2026

The Kansas City Royals Top 30 Prospects!

Rank Name Position Level Age Projections
1 Carter Jensen C MLB 21 120.9 wRC+, 0.253/0.345/0.444, 22 HR, 5 SB, 81 Runs, 75 RBI
2 Asbel Gonzalez CF AA 19 93.6 wRC+, 0.240/0.325/0.360, 12 HR, 53 SB, 66 Runs, 58 RBI
3 Kendry Chourio SP A 17 4.09 ERA, 121 IP, 39 BB, 95 K, 7.0 K/9, 1.36 WHIP
4 Yandel Ricardo SS A 18 90.9 wRC+, 0.240/0.304/0.384, 14 HR, 28 SB, 73 Runs, 62 RBI
5 David Shields SP A 18 4.23 ERA, 120 IP, 40 BB, 90 K, 6.8 K/9, 1.39 WHIP
6 Luinder Avila SP MLB 23 4.05 ERA, 117 IP, 51 BB, 106 K, 8.1 K/9, 1.40 WHIP
7 Blake Mitchell C A+ 20 93.0 wRC+, 0.208/0.324/0.350, 17 HR, 12 SB, 67 Runs, 59 RBI
8 Nolan Sailors CF A+ 21 88.1 wRC+, 0.229/0.313/0.355, 12 HR, 34 SB, 68 Runs, 57 RBI
9 Ramon Ramirez RF A 20 90.7 wRC+, 0.228/0.296/0.391, 20 HR, 2 SB, 65 Runs, 70 RBI
10 Javier Vaz 2B AA 24 84.4 wRC+, 0.234/0.318/0.332, 8 HR, 16 SB, 64 Runs, 51 RBI
11 Drew Beam SP A+ 22 4.72 ERA, 154 IP, 49 BB, 101 K, 5.9 K/9, 1.43 WHIP
12 Darison Garcia 2B CPX 18 80.1 wRC+, 0.215/0.308/0.325, 11 HR, 21 SB, 61 Runs, 54 RBI
13 Tyson Guerrero SP AAA 26 4.74 ERA, 142 IP, 59 BB, 120 K, 7.6 K/9, 1.45 WHIP
14 Colton Becker SS AAA 24 70.1 wRC+, 0.219/0.291/0.315, 9 HR, 51 SB, 57 Runs, 51 RBI
15 Carson Roccaforte CF AA 23 79.7 wRC+, 0.210/0.291/0.353, 15 HR, 29 SB, 69 Runs, 60 RBI
16 Luca Tresh C AAA 25 80.2 wRC+, 0.224/0.284/0.368, 17 HR, 2 SB, 63 Runs, 65 RBI
17 Hunter Owen SP AA 23 4.98 ERA, 138 IP, 56 BB, 105 K, 6.9 K/9, 1.48 WHIP
18 Connor Rasmussen 2B A 21 79.3 wRC+, 0.222/0.295/0.346, 13 HR, 7 SB, 62 Runs, 58 RBI
19 Tyriq Kemp 2B A 22 75.3 wRC+, 0.215/0.293/0.332, 11 HR, 20 SB, 65 Runs, 54 RBI
20 Peyton Wilson 2B AAA 25 76.5 wRC+, 0.218/0.297/0.332, 10 HR, 17 SB, 65 Runs, 54 RBI
21 Mason Black SP MLB 25 4.75 ERA, 134 IP, 52 BB, 112 K, 7.5 K/9, 1.42 WHIP
22 Luke Nowak LF A 22 87.6 wRC+, 0.233/0.315/0.351, 11 HR, 12 SB, 64 Runs, 58 RBI
23 Austin Charles 3B A+ 21 73.2 wRC+, 0.219/0.279/0.347, 13 HR, 18 SB, 63 Runs, 59 RBI
24 Jose Cerice 3B A 20 86.7 wRC+, 0.249/0.295/0.382, 15 HR, 2 SB, 61 Runs, 65 RBI
25 Ricson Gonzalez C CPX 20 66.4 wRC+, 0.206/0.281/0.312, 11 HR, 4 SB, 58 Runs, 52 RBI
26 Daniel Vazquez SS AA 21 72.7 wRC+, 0.227/0.293/0.326, 9 HR, 13 SB, 58 Runs, 53 RBI
27 Steven Zobac SP AA 24 5.06 ERA, 134 IP, 47 BB, 94 K, 6.3 K/9, 1.45 WHIP
28 Bryson Dudley RP A 21 4.03 ERA, 43 IP, 17 BB, 43 K, 9.0 K/9, 1.36 WHIP
29 Ben Kudrna SP AAA 22 5.03 ERA, 147 IP, 68 BB, 104 K, 6.4 K/9, 1.57 WHIP
30 Junior Fernandez RP MLB 28 4.08 ERA, 41 IP, 18 BB, 39 K, 8.5 K/9, 1.39 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 Carter Jensen Vinnie Pasquantino Jonathan India Bobby Witt Jr. Maikel Garcia Nick Loftin Asbel Gonzalez Jac Caglianone
Projected Backup Salvador Perez Derlin Figueroa Michael Massey Yandel Ricardo Austin Charles Isaac Collins Nolan Sailors Mike Yastrzemski
Depth Blake Mitchell Stone Russell Javier Vaz Colton Becker Harold Castro Dairon Blanco Kameron Misner Ramon Ramirez

Starting Pitchers

Projected #1 Cole Ragans
Projected #2 Kris Bubic
Projected #3 Noah Cameron
Projected #4 Seth Lugo
Projected #5 Michael Wacha
Depth Kendry Chourio
Depth Stephen Kolek
Depth Alec Marsh
Depth David Shields
Depth Luinder Avila

Relief Pitchers

Projected Closer Hunter Harvey
Projected Setup #1 Lucas Erceg
Projected Setup #2 James McArthur
Next Up Steven Cruz
Next Up Bryson Dudley
Next Up John Schreiber
Depth Alex Lange
Depth Zachary Cawyer
Depth Junior Fernandez
Depth A.J. Causey

Top prospects by tool!

Hit Power Speed
Carter Jensen – 55 Salvador Perez – 60 Colton Becker – 80
Nolan Sailors – 50 Jac Caglianone – 60 Asbel Gonzalez – 80
Luke Nowak – 50 Bobby Witt Jr. – 60 Tyler Tolbert – 80

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2 comments

    1. Right now the model is entirely based on minor league data, so not until they play again. Perhaps in the future we can find a better way to handle them from a data perspective.