RoboScout Top 100 Fantasy Baseball Dynasty Targets

Orioles third base prospect Coby Mayo during a March spring training at-bat.

Image credit: Coby Mayo (Photo by Tom DiPace)

Every week, I put out a RoboScout ranking of the top 25 hitters and pitchers at each level. RoboScout derives this list by ranking the players within the level based on their minor league seasonal performance and applying park factors, regression, aging curves, and projecting expected fantasy value considering their long-term and peak performance. I also fold underlying Statcast data into the results to nudge the ranking based on the surface stats upward or downward based on the Statcast data that are most correlated with future fantasy performance.

The ranking doesn’t consider defense, an organization’s depth chart or previous year’s performance. The weekly installment attempts to highlight some of the interesting prospect names based on seasonal performance or recent ranking movement, then performs a deep dive into some of the things that RoboScout doesn’t look at or that are beyond the “number” that RoboScout outputs to help frame the performance into a dynasty league context.

What the weekly articles haven’t done is aggregate all of the numbers into one “master” list. For example, if Juneiker Caceres (Guardians) is the top DSL hitter per RoboScout, is he a better target than Angel Martinez (Guardians) who is the 17th name on the Triple-A list?

Not doing this is by design for various reasons. For one, there’s a good chance zero of the DSL hitters get a single plate appearance in the majors leagues over the next three years, which is important if someone is projecting MLB fantasy value. Also, deciding on how one wants to allocate your minor league roster slots among hitters and pitchers is also an important consideration in dynasty leagues. That’s something that might not be best served by having a master list of “the Top 100 Prospects per RoboScout”.

That being said, I created exactly that list.

I have taken the estimated likelihood of making it to the major leagues, projected performance at peak, and projected fantasy value at peak, then ranked the hitters and pitchers accordingly. I’m still not considering defense of the parent club’s depth chart.

Of course, some will view this list as controversial. It’s not meant to end the conversation or be the primary input for your waiver wire claims. For example, you probably shouldn’t trade Padres shortstop Leodalis De Vries (who is not on the list) for 26-year-old Reds pitcher Carson Spiers, who appears at #107. Also, you will see that Luis Perales (Red Sox) and Owen Murphy (Braves) appear on this list because RoboScout does not know that they are currently recovering from Tommy John surgery. It only looks at their 2024 performance on the season and projects out.

In other words, please apply the appropriate mental adjustments to the output knowing that these are just the “agnostic” results of RoboScout.

To help provide some “performance” context, I’ve listed the estimated peak projection beside each name. I liked some of the names in the 101 to 120 range, so I extended the list out to be a Top 120 list, with data through July 1.

RANK	NAME	TEAM	AGE	LEVEL	PIT?	BA / K%	OBP / BB%	wRC+ / GB%	HR / ERA	SB / WHIP
1	James Wood	WSN	21	AAA		0.28	0.367	130	23	14
2	Paul Skenes	PIT	22	AAA	P	31%	6%	50%	2.96	1.01
3	Coby Mayo	BAL	22	AAA		0.259	0.333	120	30	5
4	Emmanuel Rodriguez	MIN	21	AA		0.264	0.366	128	23	14
5	Jackson Holliday	BAL	20	AAA		0.272	0.369	124	21	7
6	Jose Fermin	STL	25	AAA		0.282	0.356	121	19	23
7	Kyle Manzardo	CLE	23	AAA		0.264	0.342	116	28	2
8	Noah Schultz	CHW	20	AA	P	26%	5%	48%	3.35	1.09
9	Moises Ballesteros	CHC	20	AA		0.282	0.354	122	24	2
10	Agustin Ramirez	NYY	22	AA		0.274	0.347	123	31	13
11	Christian Scott	NYM	25	AAA	P	27%	7%	47%	3.59	1.12
12	Samuel Basallo	BAL	19	AA		0.272	0.343	117	24	7
13	Luke Keaschall	MIN	21	AA		0.267	0.345	117	17	13
14	Cole Young	SEA	20	AA		0.274	0.349	112	20	11
15	Hao-Yu Lee	DET	21	AA		0.27	0.342	116	24	11
16	Javier Sanoja	MIA	21	AAA		0.292	0.357	115	14	9
17	Lazaro Montes	SEA	19	A		0.27	0.346	116	37	1
18	Xavier Isaac	TBR	20	A+		0.244	0.318	102	26	13
19	Zebby Matthews	MIN	24	AA	P	22%	5%	48%	3.6	1.16
20	Roman Anthony	BOS	20	AA		0.257	0.338	110	22	7
21	Miguel Vargas	LAD	24	AAA		0.258	0.343	110	20	14
22	Matt Wilkinson	CLE	21	A+	P	28%	7%	47%	3.36	1.12
23	Sebastian Walcott	TEX	18	A+		0.251	0.328	100	20	8
24	Colt Emerson	SEA	18	A		0.27	0.351	105	21	7
25	Michael Arroyo	SEA	19	A		0.265	0.338	111	33	6
26	Kevin McGonigle	DET	19	A		0.28	0.349	108	15	14
27	Carson Williams	TBR	21	AA		0.257	0.334	118	24	19
28	Deyvison De Los Santos	ARI	21	AAA		0.274	0.34	116	33	2
29	Edgar Quero	CHW	21	AA		0.268	0.337	112	26	2
30	Chase Meidroth	BOS	22	AAA		0.276	0.359	111	11	11
31	Adrian Del Castillo	ARI	24	AAA		0.259	0.328	110	22	1
32	David Festa	MIN	24	AAA	P	28%	7%	47%	3.39	1.12
33	James Triantos	CHC	21	AA		0.279	0.337	111	17	27
34	Matthew Lugo	BOS	23	AAA		0.256	0.325	103	28	14
35	Quinn Mathews	STL	23	A+	P	25%	8%	51%	3.7	1.21
36	Andy Pages	LAD	23	AAA		0.256	0.328	109	24	9
37	Jhonkensy Noel	CLE	22	AAA		0.261	0.327	114	28	2
38	Luis Perales	BOS	21	A+	P	24%	8%	47%	3.81	1.24
39	Alex Freeland	LAD	22	AA		0.263	0.343	114	18	13
40	Owen Murphy	ATL	20	A+	P	26%	7%	39%	3.97	1.17
41	Luke Adams	MIL	20	A+		0.254	0.334	96	19	16
42	Angel Genao	CLE	20	A+		0.26	0.322	100	19	14
43	Blake Mitchell	KCR	19	A		0.243	0.328	106	26	13
44	Sal Stewart	CIN	20	A+		0.261	0.334	96	18	6
45	Shay Whitcomb	HOU	25	AAA		0.25	0.322	109	26	20
46	Axiel Plaz	PIT	18	A		0.251	0.318	100	37	3
47	Junior Caminero	TBR	20	AAA		0.259	0.331	108	25	4
48	Samuel Zavala	CHW	19	A+		0.252	0.333	91	19	8
49	Chayce McDermott	BAL	25	AAA	P	27%	8%	42%	3.9	1.2
50	Luis Matos	SFG	22	AAA		0.272	0.331	101	22	9
51	Heston Kjerstad	BAL	25	AAA		0.241	0.316	108	25	3
52	Orelvis Martinez	TOR	22	AAA		0.25	0.32	106	28	1
53	Cutter Coffey	BOS	20	A+		0.246	0.314	94	31	7
54	Kristian Campbell	BOS	22	AA		0.255	0.333	115	20	7
55	William Bergolla	PHI	19	A+		0.27	0.335	96	13	13
56	Cam Collier	CIN	19	A+		0.242	0.312	93	26	2
57	Cade Povich	BAL	24	AAA	P	26%	7%	42%	3.8	1.15
58	Marcelo Mayer	BOS	21	AA		0.264	0.333	111	17	12
59	Henry Bolte	OAK	20	A+		0.235	0.312	98	20	21
60	Jonatan Clase	SEA	22	AAA		0.245	0.326	104	19	29
61	Colby Thomas	OAK	23	AAA		0.263	0.323	98	31	11
62	Logan Henderson	MIL	22	AA	P	24%	7%	42%	3.88	1.19
63	Joe Mack	MIA	21	AA		0.253	0.325	111	26	2
64	Tyler Black	MIL	23	AAA		0.258	0.328	103	20	16
65	Aidan Smith	SEA	19	A		0.251	0.328	103	26	15
66	Ralphy Velazquez	CLE	19	A		0.259	0.336	105	23	4
67	Angel Martinez	CLE	22	AAA		0.265	0.338	104	20	7
68	Johnathan Rodriguez	CLE	24	AAA		0.244	0.321	106	23	7
69	Ryan Clifford	NYM	20	AA		0.248	0.339	107	22	3
70	C.J. Kayfus	CLE	22	AA		0.26	0.338	119	19	4
71	Jacob Wilson	OAK	22	AA		0.273	0.332	117	18	7
72	Nehomar Ochoa Jr.	HOU	18	A		0.247	0.319	102	24	12
73	Jace Jung	DET	23	AAA		0.25	0.332	107	21	2
74	Juan Brito	CLE	22	AAA		0.262	0.339	105	20	6
75	Jack Leiter	TEX	24	AAA	P	25%	8%	46%	4	1.21
76	Carter Jensen	KCR	20	A+		0.249	0.325	93	17	11
77	Jaison Chourio	CLE	19	A		0.266	0.344	102	13	18
78	Chase Dollander	COL	22	A+	P	24%	8%	40%	4.14	1.25
79	Jonny Farmelo	SEA	19	A		0.25	0.328	98	20	17
80	Bubba Chandler	PIT	21	AA	P	23%	7%	43%	4.07	1.24
81	Leo Jimenez	TOR	23	AAA		0.257	0.33	101	17	5
82	Tink Hence	STL	21	AA	P	23%	7%	47%	3.68	1.2
83	Jonah Tong	NYM	21	A	P	29%	9%	47%	3.63	1.17
84	Josue De Paula	LAD	19	A		0.251	0.324	98	19	12
85	Tai Peete	SEA	18	A		0.249	0.323	100	13	16
86	Heliot Ramos	SFG	24	AAA		0.237	0.311	102	24	6
87	Eduardo Tait	PHI	17	CPX		0.254	0.313	89	27	2
88	Slade Cecconi	ARI	25	AAA	P	24%	7%	45%	3.99	1.21
89	Joey Loperfido	HOU	25	AAA		0.233	0.305	101	28	15
90	Harry Ford	SEA	21	AA		0.256	0.334	105	15	18
91	Jordan Beck	COL	23	AAA		0.251	0.327	103	18	13
92	Eric Bitonti	MIL	18	CPX		0.239	0.318	96	29	3
93	Jeral Perez	LAD	19	A		0.254	0.328	100	21	3
94	Robert Calaz	COL	18	CPX		0.25	0.323	103	29	6
95	Jesus Baez	NYM	19	A		0.261	0.324	97	26	6
96	Braxton Ashcraft	PIT	24	AAA	P	20%	5%	46%	4.06	1.23
97	Parker Meadows	DET	24	AAA		0.246	0.318	100	19	24
98	Brett Baty	NYM	24	AAA		0.248	0.311	100	25	2
99	Yophery Rodriguez	MIL	18	A		0.248	0.322	99	19	3
100	Yilber Diaz	ARI	23	AAA	P	25%	8%	44%	4.01	1.23
101	Alfredo Duno	CIN	18	A		0.246	0.322	99	20	4
102	Isaac Collins	MIL	26	AAA		0.244	0.317	100	16	17
103	Tyler Locklear	SEA	23	AAA		0.251	0.323	99	24	5
104	Yeremi Cabrera	TEX	18	CPX		0.247	0.325	96	38	15
105	Aidan Miller	PHI	20	A+		0.246	0.318	94	18	11
106	Tobias Myers	MIL	25	AAA	P	24%	7%	49%	3.82	1.22
107	Carson Spiers	CIN	26	AAA	P	20%	7%	47%	4.18	1.27
108	Spencer Horwitz	TOR	26	AAA		0.255	0.333	107	10	5
109	Reid Detmers	LAA	24	AAA	P	25%	6%	45%	3.83	1.16
110	Demetrio Crisantes	ARI	19	A		0.255	0.322	99	13	10
111	Alejandro Rosario	TEX	22	A	P	21%	7%	50%	3.73	1.26
112	Cristian Mena	ARI	21	AAA	P	22%	6%	50%	3.86	1.2
113	Chandler Champlain	KCR	24	AA	P	24%	7%	43%	3.86	1.2
114	Zyhir Hope	LAD	19	A		0.242	0.313	94	21	10
115	Yoeilin Cespedes	BOS	18	CPX		0.249	0.313	93	30	2
116	Thomas White	MIA	19	A+	P	21%	8%	51%	3.99	1.3
117	Jefferson Rojas	CHC	19	A+		0.256	0.314	85	14	14
118	Louie Varland	MIN	26	AAA	P	20%	7%	52%	3.92	1.26
119	Zac Veen	COL	22	AA		0.248	0.323	107	20	20
120	Jedixson Paez	BOS	20	A+	P	21%	6%	48%	3.7	1.21