Marco Jimenez — OGILVIE

Marco Jimenez P Erie SeaWolves

Age 26 RHP 5'11" / 239 lbs AA

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 69 proj IP

wRC+ AGAINSTvL 124116vR 108

ERA4.77

FIP4.77

K%18.9%

BB%10.5%

K-BB%8.4%

ROS IP69

Value2026 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5050

CMD5050

K†4545

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 + 2026 so far)
2017	17	ROK MLE	DSL Tigers	3	0	8	38	9	3	0	0%	2.8	23.7%	7.9%	15.8%	0.0%	8.64	2.10	—
2017	17	ROK RAW	DSL Tigers	3	0	8	38	9	3	0	0%	2.8	23.7%	7.9%	15.8%	0.0%	8.64	2.02	—
2018	18	ROK MLE	DSL Tigers 2	4	0	6	23	4	2	0	0%	1.4	17.4%	8.7%	8.7%	0.0%	3.18	2.73	—
2018	18	ROK RAW	DSL Tigers 2	4	0	6	23	4	2	0	0%	1.4	17.4%	8.7%	8.7%	0.0%	3.18	2.75	—
2022	22	MIX MLE	2 levels	13	10	35	169	46	25	4	77%	2.7	19.6%	17.7%	1.9%	2.9%	6.37	5.27	—
2022	22	MIX RAW	2 levels	13	10	35	169	46	25	4	77%	2.7	27.2%	14.8%	12.4%	2.4%	6.37	4.09	—
2023	23	A MLE	Lakeland Flying Tigers	12	7	31	152	32	16	0	58%	2.6	15.6%	12.4%	3.2%	0.0%	7.63	3.36	—
2023	23	A MLE	Lakeland Flying Tigers	12	7	31	152	32	16	0	58%	2.6	15.6%	12.4%	3.2%	0.0%	7.63	3.36	—
2023	23	A RAW	Lakeland Flying Tigers	12	7	31	152	32	16	0	58%	2.6	21.1%	10.5%	10.5%	0.0%	7.63	2.58	—
2024	24	A+ MLE	West Michigan Whitecaps	38	0	57	223	52	28	1	0%	1.5	18.0%	14.4%	3.5%	0.6%	2.05	3.76	—
2024	24	A+ MLE	West Michigan Whitecaps	38	0	57	223	52	28	1	0%	1.5	18.0%	14.4%	3.5%	0.6%	2.05	3.76	—
2024	24	A+ RAW	West Michigan Whitecaps	38	0	57	223	52	28	1	0%	1.5	23.3%	12.6%	10.8%	0.4%	2.05	2.98	—
2025	25	A+ MLE	West Michigan Whitecaps	39	0	60	227	59	17	5	0%	1.5	20.0%	8.6%	11.4%	3.2%	1.50	4.28	—
2025	25	A+ MLE	West Michigan Whitecaps	39	0	60	227	59	17	5	0%	1.5	20.0%	8.6%	11.4%	3.2%	1.50	4.28	—
2025	25	A+ RAW	West Michigan Whitecaps	39	0	60	227	59	17	5	0%	1.5	26.0%	7.5%	18.5%	2.2%	1.50	3.07	—
▸ 2026 season
YTD	26	AA MLE	Erie SeaWolves	15	0	16	74	17	3	2	0%	1.1	—	—	—	—	5.51	—	—
YTD	26	AA MLE	Erie SeaWolves	15	0	16	74	17	3	2	0%	1.1	—	—	—	—	5.51	—	—
▸ 2026 season — so far · projected rest · full
2026	26	ROK RAW	DET	1	0	1	3	2	0	0	0%	1.0	66.7%	0.0%	66.7%	0.0%	0.00	-2.53	—
2026	26	A RAW	DET	6	0	8	28	5	0	0	0%	1.3	17.9%	0.0%	17.9%	0.0%	1.17	1.59	—
2026	26	AA RAW	DET	8	0	8	43	10	3	2	0%	1.0	23.3%	7.0%	16.3%	4.7%	10.57	4.57	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	DET	66	0	69	291	56	30	8	0%	1.0	19.4%	10.5%	8.9%	2.9%	4.75	4.76	-0.2
2028	28	MLB MLE	DET	64	0	67	282	55	30	8	0%	1.0	19.5%	10.5%	9.0%	3.0%	4.77	4.81	-0.2
2029	29	MLB MLE	DET	61	0	64	270	53	29	9	0%	1.0	19.5%	10.7%	8.8%	3.2%	4.85	4.92	-0.3
2027	27	MLB CTX	DET	25	0	26	110	21	11	3	0%	1.0	19.4%	10.5%	8.9%	2.9%	4.75	4.76	-0.1
2028	28	MLB CTX	DET	38	0	40	169	33	18	5	0%	1.1	19.5%	10.5%	9.0%	3.0%	4.77	4.81	-0.1
2029	29	MLB CTX	DET	43	0	45	190	37	20	6	0%	1.0	19.5%	10.7%	8.8%	3.2%	4.85	4.92	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		106	0	111	468	91	50	14	0%	1.0	19.5%	10.6%	8.9%	3.0%	4.80	4.46	+0.1
/ 200 IP	—	RAW		190	0	200	844	164	90	25	0%	1.1	19.5%	10.6%	8.9%	3.0%	4.80	4.46	+0.2
Career	—	MLE		124	17	213	906	172	109	16	14%	1.7	19.0%	12.0%	7.0%	1.7%	3.97	3.96	-0.6
/ 200 IP	—	MLE		116	16	200	849	162	102	15	14%	1.7	19.0%	12.0%	7.0%	1.7%	3.97	3.96	-0.7

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
Marco Jimenez (OGILVIE)	—	—	4.77	18.9%	10.5%	2.8%	—	4.83	19.5%	8.9%	200	+0.06	—	—	—
David Goforth R 2015 · 3.98 FIP	26	SU	3.98	17.4%	9.8%	2.0%	.287	4.58	14.1%	3.6%	184	+0.60	3.98	256	89
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	89
R.J. Alaniz R 2017 · 3.91 FIP	26	SU	3.91	20.7%	8.9%	2.6%	.318	3.28	23.8%	15.0%	96	-0.63	2.45	362	87
Gonzalez Germen R 2015 · 4.24 FIP	27	SU	4.24	18.0%	12.5%	1.9%	.296	3.88	19.2%	8.3%	54	-0.36	3.70	146	86
Jose Rafael De Paula R 2017 · 4.46 FIP	26	SU	4.46	19.9%	9.8%	3.3%	.278	4.79	22.7%	10.3%	89	+0.33	2.64	315	86
Colton Murray R 2016 · 3.97 FIP	26	SU	3.97	21.2%	9.4%	2.7%	.295	4.27	21.8%	13.1%	41	+0.30	3.34	187	86
Logan Bawcom R 2015 · 3.85 FIP	26	SU	3.85	15.8%	9.1%	1.7%	.320	4.35	15.9%	6.2%	259	+0.50	3.73	399	86
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	299	86
Carlos Gonzalez R 2016 · 3.78 FIP	26	SU	3.78	18.2%	8.7%	2.0%	.266	4.37	14.3%	2.3%	36	+0.59	3.75	154	86
Stephen Kohlscheen R 2015 · 3.83 FIP	26	SU	3.83	15.6%	8.1%	1.9%	.311	3.98	22.8%	15.0%	90	+0.15	2.52	167	86
Héctor Neris R 2015 · 4.00 FIP	26	SU	4.00	20.9%	10.0%	2.5%	.298	3.03	31.5%	23.7%	221	-0.97	2.03	682	86
Max Alba R 2023 · 4.47 FIP	24	SU	4.47	20.6%	12.6%	2.7%	.290	5.15	16.7%	9.9%	244	+0.68	4.47	299	85
Troy Neiman R 2017 · 4.03 FIP	26	SU	4.03	18.1%	8.3%	2.5%	.282	—	—	—	—	—	4.03	199	85
Kyle Martin R 2017 · 4.41 FIP	26	SU	4.41	18.3%	10.0%	2.9%	.304	3.22	23.0%	10.0%	51	-1.19	3.01	214	85
Jonathan Hughes R 2023 · 4.31 FIP	26	SU	4.31	17.1%	9.2%	2.7%	.283	3.54	17.1%	4.9%	50	-0.77	3.44	219	85
Justin De Fratus R 2015 · 3.84 FIP	27	SU	3.84	18.8%	8.3%	2.3%	.325	4.61	12.4%	6.9%	279	+0.77	3.84	500	85
Cody Satterwhite R 2015 · 3.71 FIP	28	SU	3.71	20.2%	9.8%	1.9%	.333	4.04	17.7%	10.2%	75	+0.33	3.69	147	85
Jacob Bosiokovic R 2019 · 3.84 FIP	25	SU	3.84	17.2%	9.8%	1.7%	.289	4.21	24.7%	12.1%	62	+0.37	3.84	181	84
Spencer Stockton R 2022 · 4.18 FIP	26	SU	4.18	20.2%	10.3%	2.7%	.276	5.46	18.7%	6.2%	63	+1.28	1.93	233	84
Randall Delgado R 2016 · 3.93 FIP	26	SU	3.93	20.2%	9.8%	2.4%	.303	4.07	19.2%	12.5%	143	+0.14	3.09	290	84

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.3	67	19.3%	10.5%	1.15	4.78
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38