Down on the Farm: The Chicago White Sox – July 2025

Down on the Farm: The Chicago White Sox – October 2025

The Chicago White Sox Top 30 Prospects!

Rank Name Position Level Age Projections
1 Grant Taylor SP MLB 23 3.25 ERA, 61 IP, 23 BB, 68 K, 10.1 K/9, 1.14 WHIP
2 Sam Antonacci 2B A+ 22 107.9 wRC+, 0.248/0.352/0.370, 9 HR, 23 SB, 75 Runs, 51 RBI
3 Samuel Zavala CF A+ 20 106.7 wRC+, 0.230/0.336/0.391, 18 HR, 8 SB, 69 Runs, 65 RBI
4 Jeral Perez 2B A+ 20 103.8 wRC+, 0.233/0.308/0.424, 24 HR, 2 SB, 68 Runs, 78 RBI
5 Caleb Bonemer SS A 19 104.1 wRC+, 0.235/0.329/0.390, 17 HR, 17 SB, 71 Runs, 63 RBI
6 William Bergolla 2B AA 20 106.0 wRC+, 0.285/0.333/0.392, 7 HR, 24 SB, 67 Runs, 52 RBI
7 Kyle Teel C MLB 23 106.2 wRC+, 0.248/0.342/0.379, 14 HR, 9 SB, 67 Runs, 58 RBI
8 Javier Mogollon SS A 19 97.0 wRC+, 0.217/0.307/0.394, 21 HR, 22 SB, 69 Runs, 70 RBI
9 Wilfred Veras RF AA 22 98.2 wRC+, 0.244/0.296/0.418, 21 HR, 15 SB, 62 Runs, 74 RBI
10 Alexander Albertus 3B A 20 101.3 wRC+, 0.240/0.336/0.367, 13 HR, 10 SB, 63 Runs, 57 RBI
11 Tim Elko 1B MLB 26 94.5 wRC+, 0.241/0.284/0.419, 24 HR, 1 SB, 62 Runs, 73 RBI
12 George Wolkow RF A 19 92.9 wRC+, 0.222/0.297/0.392, 22 HR, 11 SB, 65 Runs, 68 RBI
13 Bryan Ramos 3B MLB 23 93.5 wRC+, 0.231/0.302/0.386, 18 HR, 8 SB, 62 Runs, 66 RBI
14 Colson Montgomery SS N/A 95.5 wRC+, 0.221/0.323/0.363, 15 HR, 3 SB, 68 Runs, 58 RBI
15 Drew Thorpe SP MLB 23 4.38 ERA, 166 IP, 55 BB, 128 K, 6.9 K/9, 1.20 WHIP
16 Hagen Smith SP AA 21 3.93 ERA, 100 IP, 54 BB, 113 K, 10.2 K/9, 1.32 WHIP
17 Ronny Hernandez C A 20 93.7 wRC+, 0.248/0.320/0.358, 10 HR, 1 SB, 58 Runs, 54 RBI
18 Braden Montgomery RF A+ 22 86.5 wRC+, 0.226/0.289/0.376, 17 HR, 4 SB, 63 Runs, 65 RBI
19 Adrian Gil 1B CPX 19 81.7 wRC+, 0.198/0.292/0.350, 17 HR, 24 SB, 67 Runs, 60 RBI
20 Ryan Galanie 1B AA 25 86.3 wRC+, 0.235/0.290/0.374, 15 HR, 3 SB, 66 Runs, 59 RBI
21 Noah Schultz SP AAA 21 4.29 ERA, 130 IP, 62 BB, 114 K, 7.9 K/9, 1.37 WHIP
22 Gage Workman N/A MLB 25 80.9 wRC+, 0.212/0.282/0.363, 16 HR, 19 SB, 69 Runs, 62 RBI
23 Rikuu Nishida 2B AA 24 86.2 wRC+, 0.243/0.331/0.308, 3 HR, 22 SB, 63 Runs, 32 RBI
24 Jacob Gonzalez SS AA 23 79.5 wRC+, 0.229/0.289/0.345, 11 HR, 8 SB, 58 Runs, 56 RBI
25 DJ Gladney RF AA 23 74.1 wRC+, 0.213/0.260/0.368, 19 HR, 6 SB, 60 Runs, 66 RBI
26 Jackson Appel C A+ 23 82.2 wRC+, 0.224/0.314/0.318, 7 HR, 2 SB, 61 Runs, 45 RBI
27 Nick Podkul 3B AAA 28 77.8 wRC+, 0.199/0.296/0.327, 15 HR, 2 SB, 63 Runs, 53 RBI
28 Stiven Flores C CPX 19 78.2 wRC+, 0.237/0.278/0.357, 13 HR, 5 SB, 53 Runs, 58 RBI
29 Angelo Hernandez C CPX 19 76.5 wRC+, 0.207/0.285/0.339, 16 HR, 4 SB, 58 Runs, 57 RBI
30 Greg Jones RF MLB 27 67.7 wRC+, 0.200/0.266/0.330, 15 HR, 42 SB, 60 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 Edgar Quero Ryan Noda Sam Antonacci Chase Meidroth Miguel Vargas Andrew Benintendi Luis Robert Jr. Wilfred Veras
Projected Backup Kyle Teel Bobby Dalbec William Bergolla Caleb Bonemer Alexander Albertus Arnold Prado Samuel Zavala Austin Slater
Depth Ronny Hernandez Tim Elko Jeral Perez Javier Mogollon Bryan Ramos #N/A Michael A. Taylor George Wolkow

Starting Pitchers

Projected #1 Grant Taylor
Projected #2 Davis Martin
Projected #3 Drew Thorpe
Projected #4 Hagen Smith
Projected #5 Shane Smith
Depth Aaron Civale
Depth Noah Schultz
Depth Mike Vasil
Depth Adrian Houser
Depth Sean Burke

Relief Pitchers

Projected Closer Prelander Berroa
Projected Setup #1 Jordan Leasure
Projected Setup #2 Keone Kela
Next Up Fraser Ellard
Next Up Gus Varland
Next Up Cam Booser
Depth Miguel Castro
Depth Justin Anderson
Depth Tyler Gilbert
Depth Sammy Peralta

Top prospects by tool!

Hit Power Speed
William Bergolla – 60 George Wolkow – 55 Greg Jones – 70
Sam Antonacci – 55 Javier Mogollon – 55 Marcelo Alcala – 60
Kyle Teel – 55 Jeral Perez – 55 Jordan Sprinkle – 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!

What does membership get me?
Information is power! Whether your interest is in fantasy, card collecting, or in just being in-the-know about what’s coming down the road, for just $5/month, you gain access to our peak projections model with rankings and projections that update and evolve every single day with fresh information. For more information, please visit our About section!