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Down on the Farm: The New York Mets – October 2025

Down on the Farm: The New York Mets – October 2025

The New York Mets Top 30 Prospects!

Rank Name Position Level Age Projections
1 Nolan McLean SP MLB 23 3.61 ERA, 161 IP, 68 BB, 163 K, 9.1 K/9, 1.24 WHIP
2 Jonah Tong SP MLB 22 3.49 ERA, 143 IP, 69 BB, 168 K, 10.6 K/9, 1.24 WHIP
3 Ryan Clifford 1B AAA 21 126.2 wRC+, 0.240/0.350/0.455, 27 HR, 2 SB, 73 Runs, 82 RBI
4 Jett Williams SS AAA 21 117.0 wRC+, 0.244/0.348/0.417, 17 HR, 25 SB, 82 Runs, 66 RBI
5 Carson Benge CF AAA 22 115.9 wRC+, 0.255/0.341/0.424, 18 HR, 10 SB, 79 Runs, 67 RBI
6 Christian Scott SP MLB 25 3.76 ERA, 146 IP, 38 BB, 134 K, 8.3 K/9, 1.07 WHIP
7 A.J. Ewing CF AA 20 110.7 wRC+, 0.263/0.342/0.398, 11 HR, 37 SB, 78 Runs, 56 RBI
8 Jacob Reimer 3B AA 21 114.8 wRC+, 0.252/0.340/0.419, 18 HR, 5 SB, 72 Runs, 69 RBI
9 Christopher Suero C AA 21 107.3 wRC+, 0.228/0.338/0.390, 19 HR, 23 SB, 70 Runs, 64 RBI
10 Edward Lantigua CF CPX 18 108.7 wRC+, 0.248/0.339/0.396, 16 HR, 20 SB, 69 Runs, 61 RBI
11 Elian Pena SS DSL 17 102.4 wRC+, 0.232/0.309/0.416, 24 HR, 23 SB, 65 Runs, 75 RBI
12 Brandon Sproat SP MLB 24 4.00 ERA, 148 IP, 61 BB, 131 K, 8.0 K/9, 1.26 WHIP
13 Josmir Reyes C DSL 18 97.6 wRC+, 0.236/0.312/0.388, 17 HR, 3 SB, 65 Runs, 65 RBI
14 Nick Morabito CF AA 22 93.4 wRC+, 0.254/0.323/0.353, 8 HR, 42 SB, 63 Runs, 48 RBI
15 Randy Guzman 1B A 20 93.6 wRC+, 0.241/0.286/0.413, 21 HR, 2 SB, 64 Runs, 75 RBI
16 Marco Vargas 2B A+ 20 93.1 wRC+, 0.242/0.328/0.342, 8 HR, 28 SB, 64 Runs, 47 RBI
17 Yunior Amparo 1B DSL 18 87.9 wRC+, 0.227/0.297/0.371, 17 HR, 21 SB, 61 Runs, 63 RBI
18 Daiverson Gutierrez C A 19 94.1 wRC+, 0.238/0.321/0.358, 12 HR, 1 SB, 60 Runs, 56 RBI
19 Julio Zayas C CPX 19 90.0 wRC+, 0.235/0.306/0.365, 14 HR, 2 SB, 60 Runs, 59 RBI
20 Yonatan Henriquez 3B A+ 20 85.5 wRC+, 0.230/0.303/0.350, 12 HR, 22 SB, 61 Runs, 55 RBI
21 Georwill Rodriguez 2B DSL 17 83.6 wRC+, 0.213/0.315/0.322, 10 HR, 33 SB, 61 Runs, 49 RBI
22 Boston Baro 3B A+ 20 85.7 wRC+, 0.243/0.294/0.365, 10 HR, 14 SB, 66 Runs, 55 RBI
23 Ronald Hernandez C A+ 21 85.9 wRC+, 0.230/0.306/0.346, 12 HR, 11 SB, 61 Runs, 53 RBI
24 Jeremy Rodriguez SS A 18 82.8 wRC+, 0.234/0.299/0.344, 11 HR, 26 SB, 59 Runs, 52 RBI
25 Yeider Mindiola C DSL 18 81.5 wRC+, 0.212/0.289/0.354, 17 HR, 15 SB, 60 Runs, 60 RBI
26 Mitch Voit 2B A 20 76.8 wRC+, 0.217/0.289/0.333, 12 HR, 46 SB, 59 Runs, 52 RBI
27 Jonathan Santucci SP AA 22 4.42 ERA, 142 IP, 61 BB, 126 K, 8.0 K/9, 1.33 WHIP
28 Roybert Herrera 3B DSL 18 80.7 wRC+, 0.222/0.273/0.377, 20 HR, 8 SB, 60 Runs, 65 RBI
29 Trey Snyder SS A 19 82.4 wRC+, 0.224/0.305/0.332, 11 HR, 25 SB, 58 Runs, 51 RBI
30 Kevin Parada C AAA 23 82.5 wRC+, 0.217/0.286/0.363, 17 HR, 2 SB, 61 Runs, 63 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 Francisco Alvarez Pete Alonso Ronny Mauricio Francisco Lindor Brett Baty Brandon Nimmo Carson Benge Juan Soto
Projected Backup Christopher Suero Ryan Clifford Jeff McNeil Jett Williams Jacob Reimer Jared Young A.J. Ewing Starling Marte
Depth Josmir Reyes Randy Guzman Marco Vargas Elian Pena Mark Vientos Jesse Winker Edward Lantigua Tyrone Taylor

Starting Pitchers

Projected #1 Nolan McLean
Projected #2 Jonah Tong
Projected #3 Tylor Megill
Projected #4 Christian Scott
Projected #5 Kodai Senga
Depth Sean Manaea
Depth Clay Holmes
Depth Brandon Sproat
Depth David Peterson
Depth Griffin Canning

Relief Pitchers

Projected Closer Edwin Díaz
Projected Setup #1 Ryan Helsley
Projected Setup #2 Danny Young
Next Up Reed Garrett
Next Up Gregory Soto
Next Up Tyler Rogers
Depth A.J. Minter
Depth Brooks Raley
Depth Dylan Ross
Depth Dedniel Núñez

Top prospects by tool!

Hit Power Speed
A.J. Ewing – 60 Ryan Clifford – 60 Mitch Voit – 70
Carson Benge – 55 Elian Pena – 55 Nick Morabito – 70
Edward Lantigua – 55 Randy Guzman – 55 Omar De Los Santos – 70

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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