Jose De La Cruz

P DSL Phillies White

Age 22 RHP 5'11" / 165 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Phillies …	9	18	4.58	2.87	23.5%	14.1%	—	K 16.0% · BB 17.6% · FIP 3.98
2027PROJ	22	MLB—	10	10	4.89	4.89	22.3%	13.2%	-0.0
2028PROJ49% MLB	23	MLB—	10	10	4.70	4.61	23.2%	11.7%	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsBrandyn Sittinger (age 23) · Easton Sikorski (age 23) · Brandon Dufault (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.89

FIP4.89

K%22.3%

BB%13.2%

K-BB%9.1%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 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)
2025	20	ROK MLE	DSL Phillies White	9	0	18	85	20	12	0	0%	2.0	16.0%	17.6%	-1.6%	0.0%	4.58	3.98	—
2025	20	ROK MLE	DSL Phillies White	9	0	18	85	20	12	0	0%	2.0	16.0%	17.6%	-1.6%	0.0%	4.58	3.98	—
2025	20	ROK RAW	DSL Phillies White	9	0	18	85	20	12	0	0%	2.0	23.5%	14.1%	9.4%	0.0%	4.58	2.87	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	—	10	0	10	42	9	6	1	0%	1.0	22.3%	13.2%	9.1%	3.0%	4.89	4.89	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	—	19	0	20	84	20	10	2	0%	1.1	23.2%	11.7%	11.5%	2.9%	4.70	4.61	-0.0
2028	23	MLB CTX	—	10	0	10	42	10	5	1	0%	1.0	23.2%	11.7%	11.5%	2.9%	4.70	4.61	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	10	5	1	0%	1.1	23.2%	11.7%	11.5%	2.9%	4.70	4.23	+0.0
/ 200 IP	—	RAW		190	0	200	844	203	102	20	0%	1.1	23.2%	11.7%	11.5%	2.9%	4.70	4.23	+0.8
Career	—	MLE		9	0	18	85	14	15	0	0%	2.0	16.0%	17.6%	-1.6%	0.0%	4.58	3.98	-0.0
/ 200 IP	—	MLE		102	0	200	962	154	170	0	0%	2.0	16.0%	17.6%	-1.6%	0.0%	4.58	3.98	-0.1

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
Jose De La Cruz (OGILVIE)	—	—	4.89	22.3%	13.2%	3.0%	—	4.61	23.1%	11.4%	20	-0.28	—	—	—
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	91
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	87
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	87
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	86
Kyle Marman R 2019 · 3.97 FIP	22	SU	3.97	22.2%	12.8%	2.0%	.270	5.16	22.5%	8.4%	71	+1.19	3.97	117	86
Ismael Cabrera R 2016 · 4.77 FIP	22	SU	4.77	19.5%	12.4%	3.2%	.276	5.29	16.9%	6.5%	95	+0.52	3.56	133	86
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	86
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	86
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	86
Caleb Freeman R 2019 · 3.98 FIP	21	SU	3.98	24.6%	12.9%	2.4%	.267	5.15	21.7%	8.1%	58	+1.17	3.98	225	85
Nolan Sparks R 2024 · 4.10 FIP	21	SU	4.10	21.8%	13.5%	2.1%	.229	4.72	19.3%	5.3%	140	+0.62	4.10	155	85
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	84
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	84
Jesus Gamez R 2024 · 3.81 FIP	21	SU	3.81	25.4%	14.0%	2.0%	.321	4.28	27.2%	2.8%	77	+0.47	3.42	105	84
Alex Pham R 2022 · 4.23 FIP	22	SU	4.23	26.6%	14.5%	2.8%	.364	3.99	23.0%	12.4%	272	-0.24	3.73	352	84
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	84
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	83
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	83
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	83
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	83