Down on the Farm: The San Diego Padres – June 2025

Down on the Farm: The San Diego Padres – June 2025

The San Diego Padres Top 30 Prospects!

Rank Name Position Level Age Projections
1 Victor Figueroa 1B A 21 126.2 wRC+, 0.256/0.328/0.490, 31 HR, 4 SB, 79 Runs, 89 RBI
2 Leo De Vries SS A+ 18 116.7 wRC+, 0.246/0.334/0.438, 21 HR, 12 SB, 76 Runs, 76 RBI
3 Jack Mathey N/A AAA 21 99.6 wRC+, 0.238/0.319/0.386, 16 HR, 9 SB, 69 Runs, 61 RBI
4 Ethan Salas C AA 19 98.3 wRC+, 0.237/0.313/0.391, 16 HR, 9 SB, 66 Runs, 66 RBI
5 Eguy Rosario 3B MLB 25 88.8 wRC+, 0.226/0.293/0.380, 17 HR, 17 SB, 64 Runs, 66 RBI
6 Romeo Sanabria 1B AA 23 92.1 wRC+, 0.240/0.308/0.371, 14 HR, 1 SB, 58 Runs, 61 RBI
7 Rosman Verdugo 3B A+ 20 87.2 wRC+, 0.211/0.295/0.369, 17 HR, 5 SB, 66 Runs, 65 RBI
8 Ryan Jackson 3B A+ 23 91.8 wRC+, 0.226/0.332/0.331, 9 HR, 9 SB, 64 Runs, 47 RBI
9 Cobb Hightower N/A A 20 90.2 wRC+, 0.231/0.313/0.354, 12 HR, 5 SB, 66 Runs, 54 RBI
10 Tirso Ornelas N/A MLB 25 89.4 wRC+, 0.240/0.305/0.364, 12 HR, 6 SB, 58 Runs, 58 RBI
11 Tyson Neighbors RP AA 22 3.50 ERA, 40 IP, 17 BB, 47 K, 10.5 K/9, 1.14 WHIP
12 Trenton Brooks N/A MLB 29 88.2 wRC+, 0.224/0.309/0.351, 13 HR, 4 SB, 61 Runs, 58 RBI
13 Kasen Wells N/A A 21 82.4 wRC+, 0.229/0.300/0.340, 10 HR, 33 SB, 62 Runs, 50 RBI
14 Yonathan Perlaza LF AAA 26 84.1 wRC+, 0.221/0.291/0.363, 14 HR, 11 SB, 62 Runs, 64 RBI
15 Lamar King Jr. N/A A 21 83.7 wRC+, 0.228/0.296/0.353, 11 HR, 7 SB, 64 Runs, 56 RBI
16 Joshua Mears RF AA 24 74.2 wRC+, 0.186/0.256/0.375, 27 HR, 14 SB, 61 Runs, 74 RBI
17 Brandon Valenzuela C AAA 24 84.0 wRC+, 0.223/0.298/0.351, 14 HR, 3 SB, 59 Runs, 58 RBI
18 Yimy Tovar SS A 19 81.5 wRC+, 0.237/0.282/0.365, 15 HR, 11 SB, 55 Runs, 60 RBI
19 Albert Fabian RF A+ 23 78.2 wRC+, 0.214/0.271/0.369, 19 HR, 4 SB, 55 Runs, 69 RBI
20 Braedon Karpathios RF A+ 22 81.6 wRC+, 0.201/0.308/0.324, 12 HR, 2 SB, 62 Runs, 53 RBI
21 Boston Bateman SP A 19 4.51 ERA, 142 IP, 60 BB, 109 K, 6.9 K/9, 1.35 WHIP
22 Omar Cruz SP AAA 25 4.03 ERA, 79 IP, 34 BB, 75 K, 8.5 K/9, 1.23 WHIP
23 Marcos Castanon 3B AA 26 78.5 wRC+, 0.216/0.274/0.364, 18 HR, 1 SB, 53 Runs, 66 RBI
24 Brandon Lockridge LF MLB 28 73.9 wRC+, 0.229/0.291/0.317, 6 HR, 41 SB, 59 Runs, 43 RBI
25 Moises Gomez RF AAA 26 73.1 wRC+, 0.203/0.264/0.358, 20 HR, 5 SB, 58 Runs, 66 RBI
26 Francisco Acuna SS AAA 25 76.8 wRC+, 0.217/0.297/0.320, 9 HR, 13 SB, 56 Runs, 51 RBI
27 Kale Fountain N/A CPX 19 73.1 wRC+, 0.210/0.283/0.326, 12 HR, 21 SB, 58 Runs, 53 RBI
28 Kash Mayfield SP A 20 4.16 ERA, 90 IP, 40 BB, 92 K, 9.1 K/9, 1.24 WHIP
29 Jack Costello 1B A+ 24 71.3 wRC+, 0.214/0.266/0.346, 15 HR, 3 SB, 53 Runs, 60 RBI
30 Forrest Wall N/A MLB 29 69.3 wRC+, 0.221/0.292/0.296, 4 HR, 36 SB, 61 Runs, 36 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 Luis Campusano Victor Figueroa Xander Bogaerts Leo De Vries Manny Machado Yonathan Perlaza Jackson Merrill Fernando Tatis Jr.
Projected Backup Ethan Salas Luis Arraez Jose Iglesias Yimy Tovar Ryan Jackson Brandon Lockridge Bryce Johnson Gavin Sheets
Depth Brandon Valenzuela Jake Cronenworth Ripken Reyes Francisco Acuna Eguy Rosario Luis De Leon Ryan Wilson Oscar Gonzalez

Starting Pitchers

Projected #1 Dylan Cease
Projected #2 Michael King
Projected #3 Joe Musgrove
Projected #4 Nick Pivetta
Projected #5 Yu Darvish
Depth Stephen Kolek
Depth Boston Bateman
Depth Omar Cruz
Depth Matt Waldron
Depth Kash Mayfield

Relief Pitchers

Projected Closer Adrian Morejon
Projected Setup #1 Jeremiah Estrada
Projected Setup #2 Jason Adam
Next Up Robert Suarez
Next Up Tyson Neighbors
Next Up Jose Espada
Depth Wandy Peralta
Depth Reiss Knehr
Depth Bradgley Rodriguez
Depth Francis Pena

Top prospects by tool!

Hit Power Speed
Victor Figueroa – 55 Victor Figueroa – 70 Brandon Lockridge – 70
Jack Mathey – 50 Joshua Mears – 60 Kasen Wells – 60
Cobb Hightower – 50 Leo De Vries – 55 Kai Roberts – 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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