Down on the Farm: The St. Louis Cardinals – June 2025

Down on the Farm: The St. Louis Cardinals – June 2025

The St. Louis Cardinals Top 30 Prospects!

Rank Name Position Level Age Projections
1 Rainiel Rodriguez C A 18 120.0 wRC+, 0.249/0.327/0.464, 28 HR, 4 SB, 73 Runs, 85 RBI
2 JJ Wetherholt SS AA 22 114.1 wRC+, 0.260/0.357/0.390, 12 HR, 13 SB, 71 Runs, 57 RBI
3 Quinn Mathews SP AAA 24 3.94 ERA, 150 IP, 69 BB, 155 K, 9.3 K/9, 1.25 WHIP
4 Leonardo Bernal C AA 21 108.3 wRC+, 0.255/0.323/0.418, 19 HR, 8 SB, 66 Runs, 70 RBI
5 Michael McGreevy SP MLB 24 4.14 ERA, 176 IP, 38 BB, 132 K, 6.7 K/9, 1.17 WHIP
6 Riley O’Brien RP MLB 30 3.28 ERA, 35 IP, 15 BB, 39 K, 10.1 K/9, 1.20 WHIP
7 Thomas Saggese 2B MLB 23 101.3 wRC+, 0.253/0.311/0.408, 17 HR, 8 SB, 68 Runs, 67 RBI
8 Joshua Baez RF AA 22 92.8 wRC+, 0.224/0.301/0.385, 19 HR, 34 SB, 66 Runs, 66 RBI
9 Jimmy Crooks C AAA 23 100.0 wRC+, 0.244/0.315/0.394, 17 HR, 1 SB, 66 Runs, 64 RBI
10 Yairo Padilla SS CPX 18 87.2 wRC+, 0.236/0.298/0.365, 12 HR, 51 SB, 67 Runs, 54 RBI
11 Tekoah Roby SP AAA 23 4.15 ERA, 142 IP, 46 BB, 123 K, 7.8 K/9, 1.18 WHIP
12 Tink Hence SP AA 22 4.00 ERA, 120 IP, 47 BB, 114 K, 8.6 K/9, 1.23 WHIP
13 Ian Petrutz LF A+ 22 97.8 wRC+, 0.249/0.329/0.363, 10 HR, 7 SB, 65 Runs, 53 RBI
14 Jose Fermin 2B MLB 26 91.2 wRC+, 0.233/0.324/0.340, 9 HR, 22 SB, 63 Runs, 51 RBI
15 Bryan Torres CF AAA 27 94.7 wRC+, 0.255/0.341/0.330, 3 HR, 20 SB, 64 Runs, 39 RBI
16 Deniel Ortiz 3B A 20 86.5 wRC+, 0.218/0.305/0.351, 16 HR, 17 SB, 63 Runs, 56 RBI
17 Nathan Church RF AAA 24 87.0 wRC+, 0.250/0.305/0.353, 8 HR, 17 SB, 62 Runs, 49 RBI
18 Travis Honeyman DH A+ 23 87.9 wRC+, 0.235/0.312/0.346, 10 HR, 5 SB, 61 Runs, 52 RBI
19 Drew Rom SP MLB 25 4.39 ERA, 143 IP, 53 BB, 128 K, 8.0 K/9, 1.26 WHIP
20 Matt Lloyd 1B AAA 29 82.1 wRC+, 0.217/0.293/0.350, 15 HR, 8 SB, 60 Runs, 58 RBI
21 Josh Kross 1B A+ 22 78.9 wRC+, 0.213/0.270/0.372, 19 HR, 2 SB, 65 Runs, 66 RBI
22 Luis Gastelum RP AA 23 3.77 ERA, 48 IP, 16 BB, 47 K, 8.8 K/9, 1.15 WHIP
23 Zach Levenson LF A+ 23 76.9 wRC+, 0.204/0.288/0.335, 15 HR, 7 SB, 61 Runs, 56 RBI
24 Ramon Mendoza 2B AAA 24 80.0 wRC+, 0.215/0.301/0.328, 10 HR, 3 SB, 62 Runs, 50 RBI
25 Noah Mendlinger 3B AA 24 85.0 wRC+, 0.241/0.331/0.302, 2 HR, 6 SB, 57 Runs, 36 RBI
26 Matt Koperniak LF AAA 27 78.5 wRC+, 0.234/0.286/0.346, 12 HR, 6 SB, 58 Runs, 51 RBI
27 Sem Robberse SP AAA 23 4.61 ERA, 150 IP, 54 BB, 112 K, 6.7 K/9, 1.28 WHIP
28 Jonathan Mejia 2B A 20 73.1 wRC+, 0.201/0.284/0.325, 13 HR, 18 SB, 63 Runs, 52 RBI
29 Cooper Hjerpe SP AA 23 4.35 ERA, 113 IP, 58 BB, 113 K, 9.0 K/9, 1.30 WHIP
30 Paulo Asprilla C CPX 19 77.1 wRC+, 0.224/0.287/0.337, 11 HR, 5 SB, 57 Runs, 53 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 Iván Herrera Matt Lloyd Nolan Gorman JJ Wetherholt Nolan Arenado Brendan Donovan Bryan Torres Jordan Walker
Projected Backup Willson Contreras Josh Kross Thomas Saggese Masyn Winn Deniel Ortiz Ian Petrutz Victor Scott II Lars Nootbaar
Depth Rainiel Rodriguez R.J. Yeager Jose Fermin Yairo Padilla Noah Mendlinger Matt Koperniak Won-Bin Cho Joshua Baez

Starting Pitchers

Projected #1 Sonny Gray
Projected #2 Quinn Mathews
Projected #3 Michael McGreevy
Projected #4 Andre Pallante
Projected #5 Lance Lynn
Depth Matthew Liberatore
Depth Steven Matz
Depth Tekoah Roby
Depth Tink Hence
Depth Erick Fedde

Relief Pitchers

Projected Closer Ryan Helsley
Projected Setup #1 Riley O’Brien
Projected Setup #2 JoJo Romero
Next Up Packy Naughton
Next Up Phil Maton
Next Up Luis Gastelum
Depth John King
Depth Ryan Fernandez
Depth Keynan Middleton
Depth Kyle Leahy

Top prospects by tool!

Hit Power Speed
JJ Wetherholt – 60 Rainiel Rodriguez – 60 Yairo Padilla – 80
Bryan Torres – 55 Deniel Ortiz – 50 Joshua Baez – 60
Leonardo Bernal – 55 Josh Kross – 50 Mike Antico – 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.

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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