Down on the Farm: The San Francisco Giants – June 2025

Down on the Farm: The San Francisco Giants – June 2025

The San Francisco Giants Top 30 Prospects!

Rank Name Position Level Age Projections
1 Bryce Eldridge 1B AAA 20 120.2 wRC+, 0.258/0.327/0.466, 27 HR, 1 SB, 70 Runs, 84 RBI
2 Jhonny Level 2B CPX 18 109.6 wRC+, 0.247/0.320/0.429, 23 HR, 20 SB, 67 Runs, 75 RBI
3 Carlos Gutierrez LF A 20 107.5 wRC+, 0.268/0.336/0.394, 12 HR, 23 SB, 70 Runs, 55 RBI
4 Bo Davidson LF A+ 22 99.6 wRC+, 0.240/0.315/0.392, 16 HR, 12 SB, 76 Runs, 60 RBI
5 Marco Luciano SS MLB 23 100.0 wRC+, 0.227/0.316/0.394, 20 HR, 6 SB, 66 Runs, 67 RBI
6 Victor Bericoto 1B AAA 23 95.8 wRC+, 0.245/0.293/0.411, 21 HR, 2 SB, 60 Runs, 71 RBI
7 Diego Velasquez SS AA 21 98.6 wRC+, 0.260/0.331/0.362, 8 HR, 13 SB, 60 Runs, 51 RBI
8 Lisbel Diaz RF A 19 89.9 wRC+, 0.246/0.283/0.401, 18 HR, 12 SB, 62 Runs, 69 RBI
9 Carson Whisenhunt SP AAA 24 4.28 ERA, 152 IP, 53 BB, 136 K, 8.0 K/9, 1.20 WHIP
10 Grant McCray CF MLB 24 85.7 wRC+, 0.222/0.287/0.375, 16 HR, 22 SB, 71 Runs, 61 RBI
11 Carson Seymour SP AAA 26 4.33 ERA, 149 IP, 60 BB, 127 K, 7.7 K/9, 1.30 WHIP
12 Wade Meckler CF MLB 25 93.0 wRC+, 0.250/0.324/0.350, 8 HR, 8 SB, 66 Runs, 46 RBI
13 Fernando Gonzalez N/A AAA 23 86.3 wRC+, 0.224/0.296/0.365, 16 HR, 4 SB, 62 Runs, 61 RBI
14 Jeremiah Jenkins 1B A 22 85.1 wRC+, 0.217/0.293/0.364, 15 HR, 4 SB, 70 Runs, 59 RBI
15 Drew Ellis 1B MLB 29 84.1 wRC+, 0.199/0.295/0.356, 18 HR, 4 SB, 64 Runs, 65 RBI
16 Zander Darby 2B A 22 84.5 wRC+, 0.216/0.298/0.353, 15 HR, 10 SB, 63 Runs, 58 RBI
17 Daniel Johnson RF MLB 29 79.5 wRC+, 0.221/0.267/0.380, 20 HR, 17 SB, 61 Runs, 66 RBI
18 Jairo Pomares RF AA 24 80.7 wRC+, 0.223/0.270/0.381, 20 HR, 8 SB, 57 Runs, 70 RBI
19 Drew Cavanaugh C AAA 23 84.8 wRC+, 0.213/0.306/0.342, 15 HR, 2 SB, 61 Runs, 55 RBI
20 Trevor McDonald SP MLB 24 4.35 ERA, 131 IP, 49 BB, 103 K, 7.1 K/9, 1.29 WHIP
21 Guillermo Williamson 1B A+ 21 81.3 wRC+, 0.206/0.288/0.355, 19 HR, 2 SB, 57 Runs, 64 RBI
22 Dario Reynoso N/A CPX 20 78.8 wRC+, 0.191/0.303/0.319, 15 HR, 19 SB, 62 Runs, 53 RBI
23 Onil Perez C AA 22 83.4 wRC+, 0.236/0.313/0.325, 6 HR, 17 SB, 62 Runs, 43 RBI
24 Walker Martin SS A 21 79.0 wRC+, 0.192/0.291/0.341, 18 HR, 5 SB, 64 Runs, 59 RBI
25 Trent Harris RP AAA 26 3.79 ERA, 54 IP, 23 BB, 57 K, 9.4 K/9, 1.19 WHIP
26 Ethan Small SP MLB 27 4.01 ERA, 81 IP, 34 BB, 77 K, 8.5 K/9, 1.21 WHIP
27 Jakob Christian LF A 22 77.6 wRC+, 0.211/0.274/0.361, 18 HR, 9 SB, 57 Runs, 65 RBI
28 Jose Ortiz CF A 20 81.4 wRC+, 0.222/0.303/0.331, 11 HR, 11 SB, 59 Runs, 50 RBI
29 Quinn McDaniel 2B A+ 22 76.5 wRC+, 0.203/0.289/0.332, 14 HR, 22 SB, 64 Runs, 53 RBI
30 Jean Carlos Sio 3B A 21 81.2 wRC+, 0.226/0.299/0.336, 11 HR, 10 SB, 58 Runs, 52 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 Sam Huff Bryce Eldridge Jhonny Level Willy Adames Rafael Devers Carlos Gutierrez Heliot Ramos Luis Matos
Projected Backup Drew Cavanaugh Victor Bericoto Casey Schmitt Marco Luciano Matt Chapman Bo Davidson Jung Hoo Lee Mike Yastrzemski
Depth Max Stassi Wilmer Flores Zander Darby Diego Velasquez Sabin Ceballos Angel Guzman Wade Meckler Lisbel Diaz

Starting Pitchers

Projected #1 Logan Webb
Projected #2 Robbie Ray
Projected #3 Justin Verlander
Projected #4 Keaton Winn
Projected #5 Hayden Birdsong
Depth Landen Roupp
Depth Carson Whisenhunt
Depth Spencer Howard
Depth Carson Seymour
Depth Trevor McDonald

Relief Pitchers

Projected Closer Randy Rodríguez
Projected Setup #1 Camilo Doval
Projected Setup #2 Ryan Walker
Next Up Tyler Rogers
Next Up Trent Harris
Next Up Reggie Crawford
Depth Erik Miller
Depth Cody Stashak
Depth Raymond Burgos
Depth Juan Sanchez

Top prospects by tool!

Hit Power Speed
Carlos Gutierrez – 60 Bryce Eldridge – 60 Jonah Cox – 70
Bryce Eldridge – 55 Jhonny Level – 55 Andy Polanco – 60
Diego Velasquez – 55 Victor Bericoto – 55 Zane Zielinski – 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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