Diego Dugarte

P ACL Cubs

Age 24 RHP 6'1" / 182 lbs ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	20	ROKDSL Cubs Blue	12	11	48	3.21	2.47	21.7%	5.1%	—	K 14.8% · BB 6.3% · FIP 3.43
2024	21	ROKCHC	12	7	30	5.46	5.49	16.7%	15.9%	—	K 11.3% · BB 19.9% · FIP 7.15
2027PROJ	24	MLBCHC	3	3	18	4.83	4.83	22.4%	12.6%	0.0
2028PROJ43% MLB	25	MLBCHC	2	2	9	4.70	4.64	22.9%	11.4%	0.0

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

Contract

No contract data on file.

CompsRay Gaither (age 24) · Alfredo Figaro (age 25) · Jake Lee (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.83

FIP4.83

K%22.4%

BB%12.6%

K-BB%9.8%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 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 Cubs Blue	12	5	37	162	20	24	2	42%	3.1	8.4%	18.5%	-10.1%	1.8%	2.92	5.75	—
2022	19	ROK RAW	DSL Cubs Blue	12	5	37	162	20	24	2	42%	3.1	12.3%	14.8%	-2.5%	1.2%	2.92	4.67	—
2023	20	ROK MLE	DSL Cubs Blue	12	11	48	198	43	10	2	92%	4.0	14.8%	6.3%	8.5%	1.4%	3.21	3.43	—
2023	20	ROK RAW	DSL Cubs Blue	12	11	48	198	43	10	2	92%	4.0	21.7%	5.1%	16.7%	1.0%	3.21	2.47	—
2024	21	ROK MLE	ACL Cubs	12	7	30	132	22	21	4	58%	2.5	11.3%	19.9%	-8.6%	4.5%	5.46	7.15	—
2024	21	ROK MLE	ACL Cubs	12	7	30	132	22	21	4	58%	2.5	11.3%	19.9%	-8.6%	4.5%	5.46	7.15	—
2024	21	ROK RAW	ACL Cubs	12	7	30	132	22	21	4	58%	2.5	16.7%	15.9%	0.8%	3.0%	5.46	5.49	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	CHC	3	3	18	76	17	10	2	100%	6.0	22.4%	12.6%	9.8%	3.0%	4.83	4.83	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	CHC	3	3	20	84	19	10	3	100%	6.7	22.9%	11.4%	11.4%	3.0%	4.70	4.64	+0.1
2028	25	MLB CTX	CHC	2	2	9	38	9	4	1	100%	4.5	22.9%	11.4%	11.4%	3.0%	4.70	4.64	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		1	1	9	36	8	4	1	100%	8.6	22.9%	11.4%	11.4%	3.0%	4.70	4.26	+0.1
/ 200 IP	—	RAW		34	34	200	844	187	94	23	100%	5.9	22.9%	11.4%	11.4%	3.0%	4.70	4.26	+1.5
Career	—	MLE		36	23	114	492	58	69	12	64%	3.2	11.7%	14.0%	-2.2%	2.4%	3.70	5.19	+0.1
/ 200 IP	—	MLE		63	40	200	861	101	120	21	64%	3.2	11.7%	14.0%	-2.2%	2.4%	3.70	5.19	+0.6

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
Diego Dugarte (OGILVIE)	—	—	4.83	22.4%	12.6%	3.0%	—	4.64	22.9%	11.4%	20	-0.19	—	—	—
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	91
Alfredo Figaro R 2009 · 4.98 FIP	25	SP-	4.98	19.3%	12.0%	3.6%	.370	4.42	7.2%	-1.5%	15	-0.56	3.75	143	83
Jake Lee R 2019 · 4.65 FIP	24	SP-	4.65	25.7%	12.4%	3.9%	.296	3.52	18.7%	10.3%	40	-1.13	2.78	181	83
Casey Legumina R 2021 · 4.08 FIP	24	SP-	4.08	23.3%	9.3%	3.2%	.260	4.33	20.2%	11.3%	189	+0.25	3.54	355	82
Blair Henley R 2021 · 5.02 FIP	24	SP-	5.02	20.8%	12.2%	3.9%	.450	4.51	17.7%	5.4%	170	-0.51	3.97	187	81
Angel Guzman R 2006 · 4.73 FIP	24	SP-	4.73	22.1%	13.2%	3.3%	.353	3.88	19.6%	12.0%	91	-0.85	3.13	147	81
Daniel Corcino R 2014 · 4.37 FIP	23	SP-	4.37	18.8%	12.5%	2.3%	.208	4.14	19.6%	10.0%	76	-0.23	3.84	318	81
Lisalverto Bonilla R 2014 · 4.32 FIP	24	SP-	4.32	20.5%	13.3%	2.3%	.208	3.88	19.8%	10.2%	210	-0.44	3.22	242	79
Sean Mooney R 2022 · 4.70 FIP	24	SP-	4.70	24.7%	13.5%	3.6%	.277	—	—	—	—	—	3.36	102	79
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	79
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	79
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	78
Jeff Niemann R 2008 · 5.04 FIP	25	SW	5.04	18.4%	10.5%	4.0%	.294	4.16	17.4%	10.3%	490	-0.88	2.96	544	78
Michael Knorr R 2024 · 5.56 FIP	24	SP-	5.56	21.6%	12.5%	4.9%	.314	4.95	22.3%	9.7%	83	-0.61	4.30	181	77
Mitch Neunborn R 2023 · 3.65 FIP	26	SP-	3.65	24.5%	9.5%	2.6%	.232	5.11	17.6%	6.7%	206	+1.46	3.65	248	77
Zach Linginfelter R 2021 · 5.53 FIP	24	SP-	5.53	19.1%	16.0%	3.7%	.295	5.01	18.8%	-0.6%	46	-0.52	3.62	109	77
Drew Rasmussen R 2019 · 3.64 FIP	24	SP-	3.64	24.6%	12.6%	1.9%	.312	3.21	22.7%	16.2%	237	-0.43	1.21	694	76
Ricky Castro R 2024 · 3.99 FIP	24	SP-	3.99	20.4%	8.6%	2.8%	.287	5.11	19.0%	10.6%	178	+1.12	3.99	241	75
Carson Rudd R 2023 · 5.53 FIP	24	SP-	5.53	21.0%	13.0%	4.7%	.274	4.61	17.5%	-0.1%	110	-0.92	3.39	242	75
Keagan Gillies R 2022 · 5.68 FIP	24	SP-	5.68	17.2%	11.3%	4.7%	.370	3.54	23.5%	13.9%	142	-2.14	2.93	177	74