Felipe De Los Santos

P ACL Brewers

Age 24 RHP 6'0" / 180 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	20	ROKMIL	10	3	26	7.71	5.13	23.1%	18.7%	—	K 15.7% · BB 23.3% · FIP 6.64
2024	21	ROKMIL	17	1	26	11.77	4.75	18.6%	19.3%	—	K 12.7% · BB 24.1% · FIP 5.65
2027PROJ	24	MLBMIL	15	0	16	5.03	5.03	22.4%	14.2%	-0.1
2028PROJ43% MLB	25	MLBMIL	9	0	9	4.85	4.78	22.9%	12.7%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsTrent Fennell (age 23) · Jarret Whorff (age 24) · Orlando Ortiz-Mayr (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129121vR 112

ERA5.03

FIP5.03

K%22.4%

BB%14.2%

K-BB%8.2%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 IP

Grades · Contract

Scouting Grades

K†5555

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2022	19	ROK MLE	DSL Brewers 2	6	4	23	100	27	14	2	67%	3.9	18.4%	17.5%	0.9%	1.5%	3.47	4.58	—
2022	19	ROK RAW	DSL Brewers 2	6	4	23	100	27	14	2	67%	3.9	27.0%	14.0%	13.0%	2.0%	3.47	3.70	—
2023	20	ROK MLE	ACL Brewers	10	3	26	134	31	25	3	30%	2.6	15.7%	23.3%	-7.6%	3.5%	7.71	6.64	—
2023	20	ROK RAW	ACL Brewers	10	3	26	134	31	25	3	30%	2.6	23.1%	18.7%	4.5%	2.2%	7.71	5.13	—
2024	21	ROK MLE	ACL Brewers	17	1	26	145	27	28	1	6%	1.5	12.7%	24.1%	-11.5%	1.0%	11.77	5.65	—
2024	21	ROK MLE	ACL Brewers	17	1	26	145	27	28	1	6%	1.5	12.7%	24.1%	-11.5%	1.0%	11.77	5.65	—
2024	21	ROK RAW	ACL Brewers	17	1	26	145	27	28	1	6%	1.5	18.6%	19.3%	-0.7%	0.7%	11.77	4.75	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	MIL	15	0	16	68	15	10	2	0%	1.1	22.4%	14.2%	8.2%	3.0%	5.03	5.03	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	MIL	19	0	20	84	19	11	3	0%	1.1	22.9%	12.7%	10.3%	3.0%	4.85	4.78	-0.1
2028	25	MLB CTX	MIL	9	0	9	38	9	5	1	0%	1.0	22.9%	12.7%	10.3%	3.0%	4.85	4.78	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	5	1	0%	1.1	22.9%	12.7%	10.3%	3.0%	4.85	4.40	+0.0
/ 200 IP	—	RAW		190	0	200	844	187	117	23	0%	1.1	22.9%	12.7%	10.3%	3.0%	4.85	4.40	+0.4
Career	—	MLE		33	8	75	379	58	84	8	24%	2.3	15.3%	22.1%	-6.8%	2.0%	7.80	5.72	-0.1
/ 200 IP	—	MLE		88	21	200	1011	154	223	20	24%	2.3	15.3%	22.1%	-6.8%	2.0%	7.80	5.72	-0.5

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Felipe De Los Santos (OGILVIE)	—	—	5.03	22.4%	14.2%	3.0%	—	4.78	22.9%	10.3%	20	-0.25	—	—	—
Trent Fennell R 2019 · 4.08 FIP	23	SW	4.08	20.6%	12.2%	2.1%	.328	5.52	19.4%	3.5%	107	+1.44	4.08	163	83
Jarret Whorff R 2023 · 4.24 FIP	24	SW	4.24	19.5%	14.2%	1.8%	.287	4.34	19.4%	10.8%	193	+0.10	3.88	257	80
Orlando Ortiz-Mayr R 2022 · 4.61 FIP	24	SU	4.61	21.0%	13.2%	2.9%	.341	4.74	15.7%	4.0%	343	+0.13	3.65	492	80
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	80
Jonathan Papelbon R 2005 · 3.93 FIP	24	SW	3.93	23.0%	10.1%	2.7%	.305	1.90	31.3%	26.8%	196	-2.03	1.33	726	79
Todd Wellemeyer R 2003 · 5.14 FIP	24	SU	5.14	24.6%	14.8%	4.1%	.290	4.56	18.9%	4.8%	135	-0.58	3.35	615	78
Tyler Schimpf R 2019 · 4.04 FIP	23	SU	4.04	24.3%	15.9%	1.8%	.300	5.63	24.1%	7.1%	58	+1.59	3.37	126	78
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	78
Hunter Parsons R 2021 · 5.38 FIP	24	SU	5.38	21.4%	15.3%	3.9%	.247	4.78	21.8%	10.2%	115	-0.60	4.73	183	77
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	77
Tyler Mitzel R 2019 · 4.34 FIP	23	SU	4.34	24.1%	12.0%	3.2%	.245	4.10	22.4%	14.3%	96	-0.24	4.03	142	77
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	77
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	76
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	76
Ryan Zeferjahn R 2022 · 4.45 FIP	24	SW	4.45	21.0%	12.4%	2.8%	.325	4.36	27.3%	13.8%	163	-0.09	3.05	349	76
Dylan Heid R 2022 · 4.70 FIP	24	SU	4.70	21.6%	16.9%	2.4%	.287	3.33	22.6%	9.0%	103	-1.37	2.66	135	76
Ryan Conroy R 2021 · 4.01 FIP	24	SU	4.01	22.2%	9.8%	2.8%	.353	4.75	19.3%	6.7%	54	+0.74	4.01	106	76
Colin McKee R 2018 · 5.00 FIP	24	SU	5.00	24.2%	14.7%	3.8%	.330	4.35	27.7%	12.9%	97	-0.65	4.18	148	76
Gabriel Ponce R 2023 · 4.59 FIP	24	SU	4.59	24.1%	14.9%	3.0%	.291	—	—	—	—	—	4.45	161	76
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	76