Down on the Farm: The Cleveland Guardians – September 2025

Down on the Farm: The Cleveland Guardians – October 2025

The Cleveland Guardians Top 30 Prospects!

Rank Name Position Level Age Projections
1 Dauri Fernandez 2B A 18 114.9 wRC+, 0.267/0.319/0.454, 23 HR, 30 SB, 75 Runs, 76 RBI
2 Juneiker Caceres RF A 17 121.3 wRC+, 0.266/0.345/0.441, 19 HR, 7 SB, 73 Runs, 74 RBI
3 Johnathan Rodriguez RF MLB 25 113.3 wRC+, 0.257/0.319/0.447, 24 HR, 2 SB, 69 Runs, 76 RBI
4 Chase DeLauter RF AAA 23 113.8 wRC+, 0.257/0.331/0.430, 20 HR, 3 SB, 69 Runs, 73 RBI
5 Ralphy Velazquez 1B AA 20 111.0 wRC+, 0.245/0.318/0.439, 23 HR, 1 SB, 74 Runs, 78 RBI
6 Alfonsin Rosario CF AA 21 107.7 wRC+, 0.234/0.312/0.435, 26 HR, 6 SB, 70 Runs, 77 RBI
7 C.J. Kayfus 1B MLB 23 110.2 wRC+, 0.244/0.329/0.417, 18 HR, 4 SB, 82 Runs, 67 RBI
8 Kahlil Watson 2B AAA 22 101.4 wRC+, 0.227/0.306/0.415, 22 HR, 19 SB, 74 Runs, 73 RBI
9 Robert Arias CF CPX 18 99.1 wRC+, 0.243/0.321/0.381, 15 HR, 48 SB, 63 Runs, 61 RBI
10 George Valera N/A MLB 24 102.8 wRC+, 0.232/0.317/0.403, 21 HR, 4 SB, 69 Runs, 68 RBI
11 Cooper Ingle C AAA 23 106.6 wRC+, 0.242/0.348/0.370, 12 HR, 1 SB, 67 Runs, 59 RBI
12 Welbyn Francisca SS A 19 97.8 wRC+, 0.250/0.314/0.387, 15 HR, 31 SB, 62 Runs, 63 RBI
13 Jaison Chourio CF A+ 20 103.9 wRC+, 0.239/0.352/0.353, 10 HR, 16 SB, 66 Runs, 51 RBI
14 Yeiferth Castillo RF CPX 18 101.2 wRC+, 0.251/0.309/0.409, 20 HR, 3 SB, 61 Runs, 69 RBI
15 Angel Genao SS AA 21 102.6 wRC+, 0.263/0.318/0.402, 13 HR, 7 SB, 66 Runs, 64 RBI
16 Angel Abreu OF DSL 16 101.1 wRC+, 0.254/0.324/0.385, 14 HR, 8 SB, 65 Runs, 58 RBI
17 Juan Brito 2B AAA 23 99.6 wRC+, 0.235/0.326/0.375, 14 HR, 10 SB, 66 Runs, 62 RBI
18 Nick Mitchell CF A+ 21 95.7 wRC+, 0.245/0.320/0.368, 11 HR, 20 SB, 73 Runs, 51 RBI
19 Travis Bazzana 2B AAA 22 96.9 wRC+, 0.221/0.332/0.354, 12 HR, 9 SB, 73 Runs, 54 RBI
20 Luke Hill 3B A 21 90.9 wRC+, 0.232/0.309/0.364, 14 HR, 29 SB, 66 Runs, 57 RBI
21 Nic Enright RP AAA 27 3.48 ERA, 44 IP, 13 BB, 46 K, 9.6 K/9, 1.03 WHIP
22 Ricardo Romero SS DSL 17 93.2 wRC+, 0.239/0.303/0.384, 15 HR, 3 SB, 69 Runs, 62 RBI
23 Gabriel Rodriguez SS CPX 18 89.2 wRC+, 0.231/0.306/0.361, 14 HR, 24 SB, 65 Runs, 56 RBI
24 Reiner Herrera C CPX 19 90.7 wRC+, 0.221/0.303/0.373, 18 HR, 3 SB, 69 Runs, 61 RBI
25 Wuilfredo Antunez RF AA 23 86.2 wRC+, 0.229/0.278/0.393, 17 HR, 12 SB, 74 Runs, 66 RBI
26 Jonathan Martinez SS CPX 18 84.9 wRC+, 0.225/0.300/0.351, 12 HR, 36 SB, 64 Runs, 55 RBI
27 Jose Riera SS DSL 17 83.6 wRC+, 0.220/0.281/0.377, 19 HR, 25 SB, 63 Runs, 66 RBI
28 Jorge Burgos RF AA 23 89.2 wRC+, 0.225/0.292/0.383, 19 HR, 1 SB, 62 Runs, 66 RBI
29 Luis De La Cruz 2B CPX 18 85.2 wRC+, 0.228/0.302/0.350, 12 HR, 31 SB, 61 Runs, 55 RBI
30 Parker Messick SP AA 23 4.38 ERA, 153 IP, 54 BB, 130 K, 7.7 K/9, 1.23 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 Cooper Ingle Ralphy Velazquez Dauri Fernandez Angel Genao José Ramírez Steven Kwan Alfonsin Rosario Juneiker Caceres
Projected Backup Bo Naylor C.J. Kayfus Kahlil Watson Welbyn Francisca Gabriel Arias Nolan Jones Jaison Chourio Jhonkensy Noel
Depth Reiner Herrera Carlos Santana Juan Brito Ricardo Romero Luke Hill Tommy Hawke Robert Arias Chase DeLauter

Starting Pitchers

Projected #1 Gavin Williams
Projected #2 Tanner Bibee
Projected #3 Luis L. Ortiz
Projected #4 Parker Messick
Projected #5 Wes Parsons
Depth Slade Cecconi
Depth Braylon Doughty
Depth Pedro Avila
Depth Josh Hartle
Depth Joey Cantillo

Relief Pitchers

Projected Closer Emmanuel Clase
Projected Setup #1 Cade Smith
Projected Setup #2 Sam Hentges
Next Up Nic Enright
Next Up Franco Aleman
Next Up Andrew Walters
Depth Matt Festa
Depth Hunter Gaddis
Depth Tim Herrin
Depth Erik Sabrowski

Top prospects by tool!

Hit Power Speed
Juneiker Caceres – 60 Jhonkensy Noel – 70 Tommy Hawke – 80
Angel Abreu – 55 Alfonsin Rosario – 60 Robert Arias – 70
Dauri Fernandez – 55 Kyle Manzardo – 60 Jonah Advincula – 70

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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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