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Down on the Farm: The Athletics – October 2025

Down on the Farm: The Athletics – October 2025

The Athletics Top 30 Prospects!

Rank Name Position Level Age Projections
1 Leo De Vries SS AA 18 128.3 wRC+, 0.258/0.344/0.474, 24 HR, 9 SB, 83 Runs, 82 RBI
2 Henry Bolte RF AAA 21 100.6 wRC+, 0.235/0.323/0.385, 15 HR, 33 SB, 75 Runs, 60 RBI
3 Colby Thomas LF MLB 24 99.4 wRC+, 0.234/0.289/0.434, 25 HR, 9 SB, 68 Runs, 81 RBI
4 Edgar Montero SS DSL 18 100.5 wRC+, 0.213/0.324/0.383, 20 HR, 5 SB, 71 Runs, 65 RBI
5 Jack Perkins SP MLB 25 3.99 ERA, 134 IP, 59 BB, 137 K, 9.2 K/9, 1.24 WHIP
6 Luis Morales SP MLB 22 3.96 ERA, 125 IP, 53 BB, 120 K, 8.7 K/9, 1.22 WHIP
7 Gage Jump SP AA 22 4.21 ERA, 134 IP, 49 BB, 122 K, 8.2 K/9, 1.23 WHIP
8 Wei-En Lin SP AA 19 3.95 ERA, 104 IP, 37 BB, 101 K, 8.8 K/9, 1.16 WHIP
9 Carlos Cortes RF MLB 28 87.6 wRC+, 0.224/0.291/0.378, 18 HR, 2 SB, 62 Runs, 67 RBI
10 Junior Perez CF AAA 23 82.2 wRC+, 0.202/0.287/0.361, 18 HR, 23 SB, 66 Runs, 65 RBI
11 Shotaro Morii SS CPX 18 87.8 wRC+, 0.214/0.312/0.345, 14 HR, 6 SB, 63 Runs, 56 RBI
12 Breyson Guedez CF DSL 17 87.4 wRC+, 0.255/0.280/0.395, 16 HR, 2 SB, 58 Runs, 66 RBI
13 Brennan Milone 1B AAA 24 87.6 wRC+, 0.221/0.305/0.355, 15 HR, 2 SB, 62 Runs, 59 RBI
14 Mason Barnett SP MLB 24 4.52 ERA, 161 IP, 69 BB, 138 K, 7.8 K/9, 1.29 WHIP
15 Max Durrington SS A 18 86.0 wRC+, 0.235/0.302/0.354, 12 HR, 9 SB, 58 Runs, 55 RBI
16 Darling Fernandez LF CPX 19 85.8 wRC+, 0.214/0.318/0.327, 11 HR, 5 SB, 66 Runs, 48 RBI
17 Clark Elliott LF AA 24 84.8 wRC+, 0.208/0.317/0.323, 11 HR, 7 SB, 67 Runs, 48 RBI
18 Tommy White 3B AA 22 83.4 wRC+, 0.237/0.282/0.374, 16 HR, 1 SB, 56 Runs, 64 RBI
19 Joshua Kuroda-Grauer SS AAA 22 86.0 wRC+, 0.258/0.308/0.344, 6 HR, 15 SB, 55 Runs, 47 RBI
20 Devin Taylor OF A 21 80.9 wRC+, 0.207/0.291/0.348, 17 HR, 4 SB, 60 Runs, 59 RBI
21 Daniel Susac C AAA 24 79.8 wRC+, 0.227/0.277/0.365, 16 HR, 6 SB, 60 Runs, 61 RBI
22 Jared Dickey RF AA 23 82.8 wRC+, 0.229/0.305/0.334, 9 HR, 2 SB, 64 Runs, 48 RBI
23 Nate Nankil RF AA 22 81.8 wRC+, 0.236/0.302/0.335, 8 HR, 1 SB, 57 Runs, 50 RBI
24 Kade Morris SP AAA 23 4.72 ERA, 167 IP, 57 BB, 111 K, 6.0 K/9, 1.31 WHIP
25 Mario Gomez 1B AAA 22 77.4 wRC+, 0.215/0.284/0.343, 14 HR, 3 SB, 59 Runs, 57 RBI
26 Aiverson Barazarte C DSL 17 78.9 wRC+, 0.213/0.303/0.320, 10 HR, 4 SB, 61 Runs, 48 RBI
27 Michel Otanez RP MLB 27 3.74 ERA, 37 IP, 21 BB, 44 K, 10.7 K/9, 1.30 WHIP
28 Euribiel Angeles SS AAA 23 78.6 wRC+, 0.250/0.288/0.343, 7 HR, 12 SB, 55 Runs, 49 RBI
29 Brady Basso SP MLB 27 4.27 ERA, 102 IP, 33 BB, 87 K, 7.7 K/9, 1.20 WHIP
30 Yorvit Diaz SS DSL 17 75.7 wRC+, 0.225/0.280/0.342, 11 HR, 10 SB, 59 Runs, 54 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 Shea Langeliers Nick Kurtz Zack Gelof Leo De Vries Darell Hernaiz Colby Thomas JJ Bleday Lawrence Butler
Projected Backup Austin Wynns Tyler Soderstrom Samuel Gonzalez Jacob Wilson Tommy White Darling Fernandez Denzel Clarke Henry Bolte
Depth Daniel Susac Brennan Milone Cooper Bowman Edgar Montero Brett Harris Clark Elliott Breyson Guedez Carlos Cortes

Starting Pitchers

Projected #1 Luis Severino
Projected #2 Jack Perkins
Projected #3 Luis Morales
Projected #4 J.T. Ginn
Projected #5 Jacob Lopez
Depth Gage Jump
Depth Wei-En Lin
Depth Jeffrey Springs
Depth Mason Barnett
Depth Luis Medina

Relief Pitchers

Projected Closer Sean Newcomb
Projected Setup #1 Justin Sterner
Projected Setup #2 Michel Otanez
Next Up Eduarniel Núñez
Next Up Elvis Alvarado
Next Up Tyler Ferguson
Depth José Leclerc
Depth Ben Bowden
Depth Michael Kelly
Depth Noah Murdock

Top prospects by tool!

Hit Power Speed
Joshua Kuroda-Grauer – 55 Leo De Vries – 55 Cameron Leary – 60
Leo De Vries – 55 Colby Thomas – 55 Henry Bolte – 60
Breyson Guedez – 50 Breyson Guedez – 50 Cooper Bowman – 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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1 Comment

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    October 18, 2025,

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