Sheroky Rodriguez

P DSL Tigers 2

Age 19 RHP 5'11" / 170 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Tigers 1	14	0	17	8.64	5.26	13.6%	18.5%	—	K 9.2% · BB 23.1% · FIP 5.55
2026	18	ROKDSL Tigers 2	12	11	45	4.76	3.78	15.7%	11.3%	—	K 10.7% · BB 14.1% · FIP 4.74
2027PROJ	19	MLBDET	4	4	21	5.47	5.47	17.0%	14.5%	-0.1
2028PROJ49% MLB	20	MLBDET	4	4	21	5.19	5.09	18.6%	12.8%	-0.0

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsYosber Sanchez (age 18) · Jhoster Baez (age 19) · Joseph Hernandez (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.47

FIP5.47

K%17.0%

BB%14.5%

K-BB%2.4%

Proj IP21

Value2027 · WAR

Runs saved vs league avg · 21 IP

Grades · Contract

Scouting Grades

K†4045

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)
2025	17	ROK MLE	DSL Tigers 1	14	0	17	81	11	15	1	0%	1.2	9.2%	23.1%	-13.9%	0.5%	8.64	5.55	—
2025	17	ROK MLE	DSL Tigers 1	14	0	17	81	11	15	1	0%	1.2	9.2%	23.1%	-13.9%	0.5%	8.64	5.55	—
2025	17	ROK RAW	DSL Tigers 1	14	0	17	81	11	15	1	0%	1.2	13.6%	18.5%	-4.9%	1.2%	8.64	5.26	—
2026	18	ROK MLE	DSL Tigers 2	12	11	45	204	32	23	2	92%	3.8	10.7%	14.1%	-3.4%	1.4%	4.76	4.74	—
2026	18	ROK MLE	DSL Tigers 2	12	11	45	204	32	23	2	92%	3.8	10.7%	14.1%	-3.4%	1.4%	4.76	4.74	—
2026	18	ROK RAW	DSL Tigers 2	12	11	45	204	32	23	2	92%	3.8	15.7%	11.3%	4.4%	1.0%	4.76	3.78	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	DET	4	4	21	89	15	13	3	100%	5.2	17.0%	14.5%	2.4%	2.9%	5.47	5.47	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	DET	9	9	43	181	34	23	5	100%	4.8	18.6%	12.8%	5.8%	2.8%	5.19	5.09	-0.1
2028	20	MLB CTX	DET	4	4	21	89	17	11	3	100%	5.2	18.6%	12.8%	5.8%	2.8%	5.19	5.09	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		4	4	21	89	17	11	3	100%	5.3	18.6%	12.8%	5.8%	2.8%	5.19	4.71	+0.0
/ 200 IP	—	RAW		40	40	200	844	162	105	29	100%	5.0	18.6%	12.8%	5.8%	2.8%	5.19	4.71	+0.4
Career	—	MLE		26	11	62	285	29	48	3	42%	2.4	10.3%	16.7%	-6.4%	1.1%	5.81	4.97	-0.3
/ 200 IP	—	MLE		84	35	200	919	94	153	10	42%	2.4	10.3%	16.7%	-6.4%	1.1%	5.81	4.97	-1.3

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
Sheroky Rodriguez (OGILVIE)	—	—	5.47	17.0%	14.5%	2.9%	—	5.09	18.6%	5.8%	43	-0.38	—	—	—
Yosber Sanchez R 2019 · 5.58 FIP	18	SP-	5.58	14.6%	14.9%	3.3%	.315	4.61	20.2%	-5.2%	13	-0.97	3.21	200	90
Jhoster Baez R 2024 · 4.57 FIP	19	SP-	4.57	17.3%	14.8%	1.9%	.283	5.93	15.9%	-5.0%	73	+1.36	4.57	110	90
Joseph Hernandez R 2018 · 5.37 FIP	18	SW	5.37	15.6%	15.0%	3.1%	.296	4.39	24.7%	8.0%	31	-0.98	4.39	260	87
Reibyn Corona R 2021 · 5.02 FIP	19	SP-	5.02	17.0%	13.1%	3.1%	.290	5.53	14.5%	1.7%	63	+0.51	4.48	190	86
Janser Lara R 2016 · 5.61 FIP	19	SP-	5.61	20.1%	17.3%	3.7%	.354	5.04	17.9%	4.8%	118	-0.57	2.84	220	84
Deretd Parra R 2019 · 5.29 FIP	19	SP-	5.29	16.8%	10.9%	4.1%	.295	3.85	15.7%	2.3%	83	-1.44	2.79	161	84
Luis Rujano R 2023 · 4.68 FIP	20	SW	4.68	17.1%	16.6%	1.7%	.309	4.71	17.6%	1.2%	150	+0.03	4.54	203	83
Chad Bryant R 2019 · 4.96 FIP	19	SP-	4.96	12.8%	13.3%	2.3%	.345	5.43	14.4%	-4.5%	49	+0.47	3.93	136	83
Cristian Aray R 2024 · 4.99 FIP	17	SP-	4.99	14.8%	11.8%	3.0%	.272	4.48	13.0%	-2.3%	72	-0.51	4.44	104	83
Carlos Castillo R 2024 · 5.00 FIP	18	SP-	5.00	13.5%	13.3%	2.5%	.336	4.65	14.3%	2.6%	121	-0.35	3.15	206	83
Alimber Santa R 2021 · 4.85 FIP	18	SW	4.85	17.0%	11.4%	3.2%	.304	5.08	20.9%	1.8%	125	+0.23	3.30	277	82
Edward Escoboza R 2015 · 4.73 FIP	19	SP-	4.73	15.3%	11.7%	2.6%	.345	4.05	17.4%	9.9%	157	-0.68	3.44	213	82
Keegan Zinn R 2024 · 6.40 FIP	19	SP-	6.40	19.1%	19.5%	4.4%	.318	5.80	19.0%	-1.9%	112	-0.60	4.88	145	82
Junior Mieses R 2019 · 4.87 FIP	19	SP-	4.87	19.9%	19.2%	1.9%	.296	6.10	18.9%	-1.2%	134	+1.23	4.87	236	82
Ronny Oliver R 2023 · 4.47 FIP	19	SP-	4.47	15.5%	16.8%	1.0%	.309	4.16	16.3%	-1.3%	72	-0.31	3.67	167	82
Juan Perez R 2016 · 5.39 FIP	21	SW	5.39	15.4%	14.1%	3.3%	.321	4.52	10.8%	0.0%	56	-0.87	4.52	113	81
Trent Fennell R 2018 · 4.48 FIP	22	SP-	4.48	14.5%	12.5%	1.9%	.317	4.46	20.9%	7.5%	89	-0.02	4.08	163	81
Maiker Manuel R 2017 · 5.12 FIP	19	SP-	5.12	12.3%	15.2%	2.1%	.329	4.59	15.2%	6.7%	101	-0.53	4.56	148	81
Miguel Vinicio R 2019 · 5.69 FIP	19	SP-	5.69	13.8%	14.2%	3.5%	.327	3.99	16.9%	1.4%	47	-1.70	3.63	164	81
Chris Viall R 2016 · 5.86 FIP	20	SP-	5.86	18.9%	21.9%	2.9%	.314	5.06	21.3%	5.8%	88	-0.80	4.89	108	81

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.3	32	18.1%	13.4%	1.10	5.28
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
David Purcey ('13)	1.0	41	18.8%	12.8%	0.96	4.98
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*