Marcos Pimentel

P ACL Rockies

Age 20 RHP 6'1" / 172 lbs ROK peak 0.3 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKCOL	9	9	41	4.83	4.22	23.2%	6.5%	—	K 15.8% · BB 8.2% · FIP 6.51
2026	19	ROKCOL	8	6	22	10.80	3.65	20.0%	9.1%	—	K 13.6% · BB 11.4% · FIP 4.79
2027PROJ	20	MLBCOL	—	—	0	5.26	5.26	14.9%	10.7%	—
2028PROJ49% MLB	21	MLBCOL	3	3	15	5.09	5.03	16.6%	10.2%	0.1

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

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control50Command40

Career WAR0.0 WAR median (P10 0.0 / P90 0.2, comp-based) · star 3% · didn't stick 94%

CompsJairo Garcia (age 20) · Logan Gragg (age 20) · Logan Sendelbach (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 117

ERA5.26

FIP5.26

K%14.9%

BB%10.7%

K-BB%4.2%

Proj IP27

Value2027 · WAR

Runs saved vs league avg · 27 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL5050

CMD4040

K†3040

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 the standard WAR scale.

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)
2024	17	ROK MLE	DSL Rockies	12	12	51	214	39	16	6	100%	4.2	12.4%	9.3%	3.0%	3.3%	5.33	5.05	—
2024	17	ROK MLE	DSL Rockies	12	12	51	214	39	16	6	100%	4.2	12.4%	9.3%	3.0%	3.3%	5.33	5.05	—
2024	17	ROK RAW	DSL Rockies	12	12	51	214	39	16	6	100%	4.2	18.2%	7.5%	10.7%	2.8%	5.33	4.05	—
2025	18	ROK MLE	DSL Rockies	9	9	41	168	39	11	7	100%	4.6	15.8%	8.2%	7.6%	6.7%	4.83	6.51	—
2025	18	ROK MLE	DSL Rockies	9	9	41	168	39	11	7	100%	4.6	15.8%	8.2%	7.6%	6.7%	4.83	6.51	—
2025	18	ROK RAW	DSL Rockies	9	9	41	168	39	11	7	100%	4.6	23.2%	6.5%	16.7%	4.2%	4.83	4.22	—
2026	19	ROK MLE	ACL Rockies	8	6	22	110	22	10	2	75%	2.7	13.6%	11.4%	2.2%	2.5%	10.80	4.79	—
2026	19	ROK MLE	ACL Rockies	8	6	22	110	22	10	2	75%	2.7	13.6%	11.4%	2.2%	2.5%	10.80	4.79	—
2026	19	ROK RAW	ACL Rockies	8	6	22	110	22	10	2	75%	2.7	20.0%	9.1%	10.9%	1.8%	10.80	3.65	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	COL	—	—	0	—	—	—	—	—	—	14.9%	10.7%	4.2%	3.1%	5.26	5.26	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	COL	6	6	31	132	22	14	4	100%	5.2	16.6%	10.2%	6.3%	3.0%	5.09	5.03	+0.1
2028	21	MLB CTX	COL	3	3	15	63	10	6	2	100%	5.0	16.6%	10.2%	6.3%	3.0%	5.09	5.03	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	15	65	11	7	2	100%	5.1	16.6%	10.2%	6.3%	3.0%	5.09	4.65	+0.1
/ 200 IP	—	RAW		41	41	200	844	143	91	26	100%	4.8	16.6%	10.2%	6.3%	3.0%	5.09	4.65	+1.7
Career	—	MLE		29	27	113	492	68	46	21	93%	3.9	13.8%	9.4%	4.4%	4.3%	6.19	5.49	+0.1
/ 200 IP	—	MLE		51	48	200	868	120	82	37	93%	3.9	13.8%	9.4%	4.4%	4.3%	6.19	5.49	+0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKACL Rockies · 22 IPFIP 3.56 → 4.79 (+1.23)K% 20.0% → 13.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.680	13.60%
BB% (unintentional) /BF	9.09%	—	×1.250	11.36%
HR / BF /BF	1.82%	÷1.000	×1.400	2.55%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.56 → 4.79, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 ROKDSL Rockies · 41 IPFIP 4.26 → 6.51 (+2.25)K% 23.2% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.21%	—	×0.680	15.79%
BB% (unintentional) /BF	6.55%	—	×1.250	8.18%
HR / BF /BF	4.17%	÷0.864	×1.400	6.75%

Result: FIP 4.26 → 6.51, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKDSL Rockies · 51 IPFIP 4.05 → 5.05 (+1.00)K% 18.2% → 12.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.22%	—	×0.680	12.39%
BB% (unintentional) /BF	7.48%	—	×1.250	9.35%
HR / BF /BF	2.80%	÷1.188	×1.400	3.30%

Result: FIP 4.05 → 5.05, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Marcos Pimentel (OGILVIE)	—	—	5.26	14.9%	10.7%	3.1%	—	5.03	16.6%	6.3%	31	-0.23	—	—	—
Jairo Garcia R 2015 · 4.47 FIP	20	SP-	4.47	16.4%	11.3%	2.4%	.298	5.25	10.1%	-1.9%	96	+0.78	3.88	148	88
Logan Gragg R 2019 · 4.14 FIP	20	SP	4.14	17.4%	9.5%	2.4%	.343	5.20	15.2%	8.2%	202	+1.06	4.14	412	87
Logan Sendelbach R 2015 · 5.31 FIP	21	SP	5.31	11.4%	9.2%	3.7%	.300	4.58	12.8%	4.3%	297	-0.73	4.14	340	87
Ryan Harvey R 2023 · 5.20 FIP	22	SP	5.20	16.7%	13.1%	3.4%	.294	4.50	17.0%	5.9%	87	-0.70	4.08	133	86
Darlin Saladin R 2023 · 4.98 FIP	20	SP	4.98	16.2%	13.3%	2.8%	.280	3.79	19.3%	8.0%	274	-1.19	2.91	407	86
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	85
Osman Gutierrez R 2015 · 4.23 FIP	20	SP-	4.23	13.6%	9.1%	2.1%	.322	5.15	14.6%	1.7%	143	+0.92	4.23	189	85
Luis Hernandez R 2022 · 4.94 FIP	21	SP	4.94	16.7%	14.0%	2.7%	.311	5.62	21.4%	4.1%	64	+0.68	4.09	109	85
Jordany Ventura R 2019 · 4.08 FIP	19	SP	4.08	16.8%	8.9%	2.3%	.264	—	—	—	—	—	4.08	219	84
Blake Wolters R 2024 · 4.58 FIP	19	SP	4.58	13.8%	11.9%	2.1%	.308	6.15	16.8%	0.1%	150	+1.57	4.58	206	84
Jasseel De La Cruz R 2017 · 4.34 FIP	20	SP	4.34	13.1%	12.0%	1.5%	.275	4.36	17.0%	5.9%	202	+0.02	3.91	374	84
Luke Albright R 2021 · 5.77 FIP	21	SP	5.77	16.8%	13.4%	4.4%	.295	5.10	19.4%	5.5%	269	-0.67	4.02	329	84
Arlinthon De Dios R 2019 · 5.15 FIP	19	SP	5.15	13.0%	11.6%	3.1%	.339	3.73	16.1%	4.6%	36	-1.42	3.73	123	84
Michael Dominguez R 2021 · 4.09 FIP	20	SP	4.09	17.9%	11.1%	2.0%	.289	5.72	20.1%	5.0%	280	+1.63	3.82	383	84
Randry De Leon R 2024 · 4.49 FIP	19	SP	4.49	18.0%	11.5%	2.6%	.284	5.01	18.6%	1.6%	80	+0.52	4.37	153	83
Jose Disla R 2016 · 5.52 FIP	20	SP	5.52	15.8%	13.4%	3.8%	.296	4.49	19.7%	8.8%	70	-1.03	3.61	139	83
Gerardo Salas R 2023 · 5.00 FIP	20	SP	5.00	14.0%	10.5%	3.2%	.307	4.94	17.5%	8.9%	273	-0.06	3.44	397	83
Ulices Campos R 2022 · 4.58 FIP	20	SP-	4.58	17.9%	11.5%	2.8%	.253	5.32	12.0%	1.0%	65	+0.74	4.11	153	83
Alex Scherff R 2018 · 5.19 FIP	20	SP	5.19	13.9%	10.0%	3.6%	.321	4.65	16.6%	5.2%	146	-0.54	3.07	291	83
Tomas Cleto R 2021 · 4.13 FIP	20	SP	4.13	15.0%	11.3%	1.6%	.233	3.88	15.5%	5.7%	75	-0.25	3.15	117	83

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	29	15.8%	10.5%	1.18	5.17
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Jeff Manship ('16)	1.1	32	16.5%	9.3%	1.05	4.82
Tom Martin ('07)	1.6	53	15.8%	10.1%	1.02	4.92
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*