Miguel Cruz

P ACL Cubs

Age 23 LHP 6'4" / 200 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	ROKCHC	13	9	28	9.96	6.24	19.0%	28.5%	—	K 12.9% · BB 35.6% · FIP 7.04
2025	21	ROKCHC	16	0	16	13.21	7.57	16.1%	31.2%	—	K 11.0% · BB 39.0% · FIP 8.06
2027PROJ	23	MLBCHC	2	2	11	5.89	5.89	20.8%	20.0%	-0.1
2028PROJ43% MLB	24	MLBCHC	2	2	9	5.54	5.40	21.6%	16.8%	-0.1

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

Contract

No contract data on file.

CompsColby Langford (age 22) · Adam Laskey (age 23) · Dominic Scheffler (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129137vR 145

ERA5.89

FIP5.89

K%20.8%

BB%20.0%

K-BB%0.7%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 IP

Grades · Contract

Scouting Grades

K†5050

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)
2023	19	ROK MLE	DSL Cubs Blue	13	13	36	167	35	28	0	100%	2.8	14.3%	21.0%	-6.7%	0.0%	5.00	4.55	—
2023	19	ROK RAW	DSL Cubs Blue	13	13	36	167	35	28	0	100%	2.8	21.0%	16.8%	4.2%	0.0%	5.00	3.49	—
2024	20	ROK MLE	ACL Cubs	13	9	28	158	30	45	1	69%	2.2	12.9%	35.6%	-22.7%	0.9%	9.96	7.04	—
2024	20	ROK MLE	ACL Cubs	13	9	28	158	30	45	1	69%	2.2	12.9%	35.6%	-22.7%	0.9%	9.96	7.04	—
2024	20	ROK RAW	ACL Cubs	13	9	28	158	30	45	1	69%	2.2	19.0%	28.5%	-9.5%	0.6%	9.96	6.24	—
2025	21	ROK MLE	ACL Cubs	16	0	16	93	15	29	1	0%	1.0	11.0%	39.0%	-28.0%	1.7%	13.21	8.06	—
2025	21	ROK MLE	ACL Cubs	16	0	16	93	15	29	1	0%	1.0	11.0%	39.0%	-28.0%	1.7%	13.21	8.06	—
2025	21	ROK RAW	ACL Cubs	16	0	16	93	15	29	1	0%	1.0	16.1%	31.2%	-15.1%	1.1%	13.21	7.57	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	CHC	2	2	11	46	10	9	1	100%	5.5	20.8%	20.0%	0.7%	3.0%	5.89	5.89	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	CHC	4	4	20	84	18	14	2	100%	5.0	21.6%	16.8%	4.8%	2.9%	5.54	5.40	-0.1
2028	24	MLB CTX	CHC	2	2	9	38	8	6	1	100%	4.5	21.6%	16.8%	4.8%	2.9%	5.54	5.40	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	9	36	8	6	1	100%	4.3	21.6%	16.8%	4.8%	2.9%	5.54	5.02	-0.0
/ 200 IP	—	RAW		36	36	200	844	187	140	23	100%	5.6	21.6%	16.8%	4.8%	2.9%	5.54	5.02	-0.3
Career	—	MLE		42	22	80	418	54	128	3	52%	1.9	13.0%	30.5%	-17.5%	0.7%	8.36	6.27	-0.1
/ 200 IP	—	MLE		105	55	200	1049	137	320	8	52%	1.9	13.0%	30.5%	-17.5%	0.7%	8.36	6.27	-1.2

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
Miguel Cruz (OGILVIE)	—	—	5.89	20.8%	20.0%	3.0%	—	5.40	21.6%	4.8%	20	-0.49	—	—	—
Colby Langford L 2024 · 5.34 FIP	22	SW	5.34	21.6%	22.5%	2.2%	.273	6.01	22.2%	-1.1%	110	+0.67	4.92	168	78
Adam Laskey L 2021 · 6.39 FIP	23	SP-	6.39	16.0%	21.0%	3.6%	.383	3.25	20.1%	10.5%	188	-3.14	3.12	310	77
Dominic Scheffler L 2024 · 5.54 FIP	20	SP-	5.54	19.7%	28.4%	0.9%	.348	5.19	16.1%	-4.1%	82	-0.35	4.59	110	75
Max Roberts L 2021 · 4.85 FIP	24	SW	4.85	19.3%	15.2%	2.6%	.330	4.62	24.5%	8.4%	115	-0.23	4.27	173	74
Joe Adametz L 2023 · 5.89 FIP	23	SW	5.89	19.0%	15.0%	4.5%	.158	4.32	14.8%	5.5%	224	-1.57	3.66	248	72
Braeden Fausnaught L 2023 · 4.77 FIP	24	SW	4.77	16.9%	16.4%	1.8%	.287	4.60	17.9%	9.7%	179	-0.17	4.43	242	72
Liam Sullivan L 2023 · 5.78 FIP	21	SP	5.78	25.7%	20.5%	4.1%	.290	5.79	20.9%	7.2%	141	+0.01	4.45	156	70
Develson Aria L 2023 · 6.47 FIP	22	SW	6.47	16.7%	28.6%	2.1%	.308	—	—	—	—	—	4.32	137	69
Bailey Horn L 2021 · 4.99 FIP	23	SP-	4.99	19.7%	12.7%	3.6%	.300	4.60	22.3%	10.3%	152	-0.39	3.90	265	69
Bryan Warzek L 2019 · 5.92 FIP	22	SW	5.92	17.7%	24.4%	2.2%	.328	6.74	20.2%	1.9%	73	+0.82	1.91	138	68
Nate Savino L 2024 · 5.85 FIP	22	SP	5.85	16.8%	18.8%	3.2%	.244	4.83	14.9%	2.0%	130	-1.02	4.26	176	68
Dan Meyer L 2007 · 4.76 FIP	26	SP-	4.76	13.9%	11.4%	2.5%	.316	4.35	20.6%	11.8%	86	-0.41	3.73	112	67
Garrett Williams L 2018 · 5.04 FIP	23	SW	5.04	14.5%	16.2%	2.0%	.335	4.33	19.3%	4.5%	162	-0.71	3.37	470	66
Evan Shawver L 2023 · 5.78 FIP	23	SW	5.78	15.9%	16.5%	3.5%	.327	4.06	18.5%	7.5%	165	-1.72	3.79	281	66
Nathan Kirby L 2018 · 5.12 FIP	24	SW	5.12	17.7%	16.2%	2.7%	.318	3.84	25.3%	8.7%	38	-1.28	3.84	145	66
Marino Santy L 2024 · 4.80 FIP	22	SW	4.80	17.6%	16.1%	2.1%	.322	4.51	20.3%	1.1%	82	-0.29	3.91	270	66
Rich Hill L 2005 · 4.75 FIP	25	SW	4.75	18.3%	13.9%	2.6%	.293	4.24	21.9%	13.1%	314	-0.51	2.05	1,484	65
Matt Minnick L 2019 · 5.59 FIP	23	SU	5.59	17.2%	14.1%	3.9%	.302	4.67	23.5%	12.1%	105	-0.92	3.81	147	65
Julian Smith L 2019 · 4.79 FIP	22	SW	4.79	14.5%	17.4%	1.3%	.399	5.33	17.9%	5.8%	110	+0.54	2.87	189	64
Erik Rivera L 2024 · 5.71 FIP	23	SP-	5.71	19.0%	14.6%	4.3%	.255	4.74	23.9%	6.3%	106	-0.97	4.42	141	64