Down on the Farm: The Athletics – June 2025

Down on the Farm: The Athletics – June 2025

The Athletics Top 30 Prospects!

Rank Name Position Level Age Projections
1 Nick Kurtz 1B MLB 22 131.8 wRC+, 0.262/0.338/0.500, 31 HR, 3 SB, 77 Runs, 88 RBI
2 Gage Jump SP AA 22 3.89 ERA, 164 IP, 51 BB, 165 K, 9.1 K/9, 1.14 WHIP
3 Henry Bolte RF AA 21 102.1 wRC+, 0.232/0.323/0.391, 16 HR, 33 SB, 76 Runs, 62 RBI
4 Colby Thomas LF AAA 24 92.6 wRC+, 0.231/0.279/0.419, 23 HR, 9 SB, 68 Runs, 79 RBI
5 Max Muncy N/A MLB 22 96.1 wRC+, 0.237/0.304/0.395, 17 HR, 9 SB, 62 Runs, 69 RBI
6 Brennan Milone 1B AAA 24 96.8 wRC+, 0.235/0.310/0.388, 17 HR, 3 SB, 63 Runs, 66 RBI
7 Denzel Clarke CF MLB 25 89.9 wRC+, 0.220/0.299/0.375, 16 HR, 25 SB, 73 Runs, 60 RBI
8 Tommy White 3B A+ 22 93.9 wRC+, 0.244/0.299/0.393, 18 HR, 3 SB, 60 Runs, 67 RBI
9 Royber Salinas SP AAA 23 4.19 ERA, 134 IP, 67 BB, 128 K, 8.6 K/9, 1.30 WHIP
10 Luis Morales SP AAA 22 4.21 ERA, 135 IP, 60 BB, 123 K, 8.2 K/9, 1.28 WHIP
11 Ben Newton N/A AAA 23 87.6 wRC+, 0.229/0.294/0.373, 16 HR, 12 SB, 64 Runs, 61 RBI
12 CJ Alexander 3B MLB 28 83.2 wRC+, 0.220/0.264/0.401, 23 HR, 6 SB, 66 Runs, 72 RBI
13 Darell Hernaiz 3B MLB 23 91.4 wRC+, 0.255/0.315/0.357, 8 HR, 12 SB, 60 Runs, 51 RBI
14 Jack Perkins SP AAA 25 4.35 ERA, 145 IP, 62 BB, 134 K, 8.3 K/9, 1.28 WHIP
15 Daniel Susac C AAA 24 83.5 wRC+, 0.233/0.283/0.373, 16 HR, 6 SB, 62 Runs, 61 RBI
16 Brady Basso SP MLB 27 4.21 ERA, 119 IP, 34 BB, 103 K, 7.8 K/9, 1.16 WHIP
17 Drew Lugbauer 1B AAA 28 78.4 wRC+, 0.192/0.263/0.382, 27 HR, 0 SB, 59 Runs, 76 RBI
18 Lazaro Armenteros LF AAA 26 77.9 wRC+, 0.195/0.291/0.334, 16 HR, 23 SB, 63 Runs, 56 RBI
19 Brett Harris 3B MLB 27 82.6 wRC+, 0.224/0.302/0.337, 11 HR, 9 SB, 62 Runs, 51 RBI
20 Carlos Pacheco CF A 20 80.2 wRC+, 0.202/0.309/0.315, 11 HR, 20 SB, 60 Runs, 50 RBI
21 Quincy Nieporte N/A AAA 30 80.6 wRC+, 0.223/0.282/0.361, 16 HR, 2 SB, 59 Runs, 61 RBI
22 Dylan Fien N/A A 19 81.0 wRC+, 0.225/0.293/0.346, 13 HR, 8 SB, 60 Runs, 55 RBI
23 Wei-En Lin SP A 19 4.33 ERA, 129 IP, 38 BB, 115 K, 8.0 K/9, 1.14 WHIP
24 Joshua Kuroda-Grauer SS AAA 22 82.1 wRC+, 0.252/0.299/0.340, 6 HR, 19 SB, 54 Runs, 48 RBI
25 Junior Perez CF AA 23 73.5 wRC+, 0.197/0.277/0.338, 15 HR, 26 SB, 61 Runs, 60 RBI
26 Nate Nankil RF A+ 22 82.5 wRC+, 0.233/0.298/0.345, 11 HR, 2 SB, 54 Runs, 56 RBI
27 Jared Dickey RF A+ 23 82.1 wRC+, 0.228/0.305/0.331, 8 HR, 4 SB, 64 Runs, 46 RBI
28 Mason Barnett SP AAA 24 4.63 ERA, 158 IP, 71 BB, 129 K, 7.3 K/9, 1.31 WHIP
29 Mario Gomez N/A AA 22 79.4 wRC+, 0.218/0.293/0.339, 13 HR, 3 SB, 58 Runs, 54 RBI
30 Jacob Lopez SP MLB 27 4.38 ERA, 125 IP, 51 BB, 122 K, 8.8 K/9, 1.22 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 Shea Langeliers Nick Kurtz Zack Gelof Jacob Wilson Jordan Diaz Seth Brown JJ Bleday Lawrence Butler
Projected Backup Manny Piña Tyler Soderstrom Alejo Lopez Joshua Kuroda-Grauer Luis Urías Miguel Andujar Denzel Clarke Henry Bolte
Depth Daniel Susac Brennan Milone Alexander Campos Max Schuemann Tommy White Colby Thomas Carlos Pacheco Nate Nankil

Starting Pitchers

Projected #1 Gage Jump
Projected #2 Luis Severino
Projected #3 J.T. Ginn
Projected #4 Royber Salinas
Projected #5 Luis Morales
Depth Mitch Spence
Depth Jack Perkins
Depth Jeffrey Springs
Depth Luis Medina
Depth JP Sears

Relief Pitchers

Projected Closer Mason Miller
Projected Setup #1 Michel Otanez
Projected Setup #2 Francisco Perez
Next Up Elvis Alvarado
Next Up Tyler Ferguson
Next Up Justin Sterner
Depth José Leclerc
Depth Michael Kelly
Depth Anthony Maldonado
Depth Gerardo Reyes

Top prospects by tool!

Hit Power Speed
Nick Kurtz – 60 Nick Kurtz – 70 Cameron Leary – 60
Darell Hernaiz – 55 Drew Lugbauer – 60 Henry Bolte – 60
Joshua Kuroda-Grauer – 50 Colby Thomas – 55 Junior Perez – 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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