Carlos Jimenez

P Greensboro Grasshoppers

Age 25 RHP 6'2" / 140 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	21	MIX2 levels	7	3	13	2.08	3.33	33.9%	24.2%	—	K 33.9% · BB 24.2% · FIP 3.30
2024	22	MIX2 levels	26	11	76	3.33	4.26	26.4%	19.8%	—	K 19.8% · BB 23.7% · FIP 5.46
2025	23	A+PIT	34	1	43	3.98	4.63	29.7%	17.7%	—	K 22.9% · BB 20.4% · FIP 5.79
2026	24	No MLB games played
2027PROJ	25	MLBPIT	—	—	0	5.79	5.79	22.3%	20.0%	—
2028PROJ43% MLB	26	MLBPIT	17	0	18	5.63	5.62	22.6%	18.9%	-0.2
2029PROJ63% MLB	27	MLBPIT	22	0	23	5.55	5.56	22.7%	18.2%	-0.3

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control20Command40

CompsDeylen Miley (age 25) · Will Bednar (age 24) · Pierce Johnson (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 127

ERA5.79

FIP5.79

K%22.3%

BB%20.0%

K-BB%2.3%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF5050

CTRL2020

CMD4040

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 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)
2019	17	ROK MLE	DSL Pirates 2	10	10	39	169	45	17	2	100%	3.9	18.1%	12.6%	5.5%	1.7%	2.54	4.07	—
2019	17	ROK RAW	DSL Pirates 2	10	10	39	169	45	17	2	100%	3.9	26.6%	10.1%	16.6%	1.2%	2.54	2.77	—
2021	19	ROK MLE	FCL Pirates Black	10	8	34	145	44	15	2	80%	3.4	20.6%	12.9%	7.7%	2.0%	3.15	4.08	—
2021	19	ROK RAW	FCL Pirates Black	10	8	34	145	44	15	2	80%	3.4	30.3%	10.3%	20.0%	1.4%	3.15	2.60	—
2022	20	A MLE	Bradenton Marauders	19	15	70	309	88	45	7	79%	3.7	21.1%	17.2%	3.9%	2.7%	4.13	4.95	—
2022	20	A RAW	Bradenton Marauders	19	15	70	309	88	45	7	79%	3.7	28.5%	14.6%	13.9%	2.3%	4.13	3.82	—
2023	21	MIX MLE	2 levels	7	3	13	62	21	15	0	43%	1.9	33.9%	24.2%	9.7%	0.0%	2.08	3.30	—
2023	21	MIX RAW	2 levels	7	3	13	62	21	15	0	43%	1.9	33.9%	24.2%	9.7%	0.0%	2.08	3.33	—
2024	22	MIX MLE	2 levels	26	11	76	348	92	69	5	42%	2.9	19.8%	23.7%	-3.9%	1.9%	3.33	5.46	—
2024	22	MIX MLE	2 levels	26	11	76	348	92	69	5	42%	2.9	19.8%	23.7%	-3.9%	1.9%	3.33	5.46	—
2024	22	MIX RAW	2 levels	26	11	76	348	92	69	5	42%	2.9	26.4%	19.8%	6.6%	1.4%	3.33	4.26	—
2025	23	A+ MLE	Greensboro Grasshoppers	34	1	43	192	57	34	6	3%	1.3	22.9%	20.4%	2.5%	3.7%	3.98	5.79	—
2025	23	A+ MLE	Greensboro Grasshoppers	34	1	43	192	57	34	6	3%	1.3	22.9%	20.4%	2.5%	3.7%	3.98	5.79	—
2025	23	A+ RAW	Greensboro Grasshoppers	34	1	43	192	57	34	6	3%	1.3	29.7%	17.7%	12.0%	3.1%	3.98	4.63	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	PIT	—	—	0	—	—	—	—	—	—	22.3%	20.0%	2.3%	3.0%	5.79	5.79	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	PIT	41	0	43	181	41	34	5	0%	1.0	22.6%	18.9%	3.8%	3.0%	5.63	5.62	-0.5
2029	27	MLB MLE	PIT	35	0	37	155	35	28	5	0%	1.0	22.7%	18.2%	4.5%	3.1%	5.55	5.56	-0.4
2028	26	MLB CTX	PIT	17	0	18	76	17	14	2	0%	1.1	22.6%	18.9%	3.8%	3.0%	5.63	5.62	-0.2
2029	27	MLB CTX	PIT	22	0	23	97	22	18	3	0%	1.0	22.7%	18.2%	4.5%	3.1%	5.55	5.56	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		39	0	41	175	40	32	5	0%	1.1	22.7%	18.5%	4.1%	3.0%	5.59	5.20	-0.3
/ 200 IP	—	RAW		190	0	200	844	193	154	24	0%	1.1	22.7%	18.5%	4.1%	3.0%	5.59	5.20	-1.5
Career	—	MLE		106	48	275	1225	259	230	28	45%	2.6	21.2%	18.7%	2.4%	2.3%	3.44	4.92	-0.9
/ 200 IP	—	MLE		77	35	200	892	189	167	20	45%	2.6	21.2%	18.7%	2.4%	2.3%	3.44	4.92	-2.4

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.

2025 A+Greensboro Grasshoppers · 43 IPFIP 4.55 → 5.79 (+1.24)K% 29.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.69%	—	×0.770	22.86%
BB% (unintentional) /BF	17.71%	—	×1.150	20.36%
HR / BF /BF	3.12%	÷1.048	×1.250	3.73%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 110).

Result: FIP 4.55 → 5.79, 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).

2024 ABradenton Marauders · 71 IPFIP 4.22 → 5.46 (+1.25)K% 26.7% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.75%	—	×0.740	19.79%
BB% (unintentional) /BF	20.06%	—	×1.180	23.67%
HR / BF /BF	1.52%	÷1.046	×1.300	1.89%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 109).

Result: FIP 4.22 → 5.46, 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).

2023 ROKFCL Pirates · 10 IPFIP 3.73 → 5.22 (+1.49)K% 27.7% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.66%	—	×0.680	18.81%
BB% (unintentional) /BF	23.40%	—	×1.250	29.26%
HR / BF /BF	0.00%	÷0.925	×1.400	0.00%

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 85).

Result: FIP 3.73 → 5.22, 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).

2022 ABradenton Marauders · 70 IPFIP 3.78 → 4.95 (+1.17)K% 28.5% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.48%	—	×0.740	21.07%
BB% (unintentional) /BF	14.56%	—	×1.180	17.18%
HR / BF /BF	2.27%	÷1.111	×1.300	2.65%

Result: FIP 3.78 → 4.95, 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).

2021 ROKFCL Pirates Black · 34 IPFIP 2.60 → 4.08 (+1.48)K% 30.3% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.34%	—	×0.680	20.63%
BB% (unintentional) /BF	10.34%	—	×1.250	12.93%
HR / BF /BF	1.38%	÷0.976	×1.400	1.98%

Result: FIP 2.60 → 4.08, 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).

2019 ROKDSL Pirates 2 · 39 IPFIP 2.78 → 4.07 (+1.30)K% 26.6% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.63%	—	×0.680	18.11%
BB% (unintentional) /BF	10.06%	—	×1.250	12.57%
HR / BF /BF	1.18%	÷1.000	×1.400	1.66%

Result: FIP 2.78 → 4.07, 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
Carlos Jimenez (OGILVIE)	—	—	5.79	22.3%	20.0%	3.0%	—	5.59	22.7%	4.1%	79	-0.20	—	—	—
Deylen Miley R 2023 · 5.34 FIP	25	SP-	5.34	22.3%	17.5%	3.5%	.336	—	—	—	—	—	2.07	185	78
Will Bednar R 2024 · 6.40 FIP	24	SW	6.40	23.8%	23.1%	4.3%	.240	3.83	25.5%	9.4%	115	-2.57	3.38	202	76
Pierce Johnson R 2016 · 5.03 FIP	25	SP-	5.03	22.9%	15.7%	3.4%	.321	3.55	24.8%	13.4%	121	-1.48	2.75	598	73
Nick Hull R 2024 · 4.62 FIP	24	SW	4.62	19.0%	12.2%	2.9%	.296	5.00	16.8%	6.2%	111	+0.38	4.26	292	73
Brandon Morrow R 2009 · 4.89 FIP	25	SW	4.89	20.1%	13.7%	3.2%	.284	3.37	25.5%	16.4%	450	-1.52	2.67	922	73
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	73
Adrian Chaidez R 2023 · 4.96 FIP	24	SW	4.96	19.4%	16.3%	2.6%	.262	—	—	—	—	—	4.96	144	73
Alex Makarewich R 2024 · 6.15 FIP	22	SP-	6.15	19.7%	26.7%	2.4%	.425	5.15	26.4%	-3.3%	83	-1.00	4.26	110	73
Cole McDonald R 2022 · 5.07 FIP	25	SW	5.07	26.5%	19.8%	3.1%	.403	3.87	23.6%	11.6%	93	-1.20	2.81	153	72
Drew Conover R 2024 · 6.25 FIP	23	SW	6.25	15.6%	29.8%	1.3%	.272	5.19	12.6%	-3.4%	106	-1.06	4.49	145	72
Cam Sanders R 2022 · 4.83 FIP	25	SW	4.83	22.2%	14.8%	3.1%	.232	4.30	25.8%	9.7%	170	-0.53	3.22	519	72
Eriq Swan R 2024 · 4.85 FIP	22	SP-	4.85	19.7%	17.3%	2.2%	.371	5.28	19.7%	0.9%	109	+0.43	4.85	132	72
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	72
Carlos Tavera R 2024 · 5.12 FIP	25	SW	5.12	18.3%	13.3%	3.4%	.299	5.43	21.9%	8.8%	29	+0.31	3.85	263	71
Matt Ruppenthal R 2021 · 4.76 FIP	25	SP-	4.76	18.5%	13.8%	2.7%	.308	4.28	22.7%	7.9%	102	-0.48	3.74	283	71
Lucas Erceg R 2021 · 5.61 FIP	26	SP-	5.61	17.1%	18.1%	3.0%	.258	3.36	25.0%	13.8%	193	-2.25	2.10	351	71
Mike Franco R 2017 · 4.75 FIP	25	SP-	4.75	17.2%	12.9%	2.7%	.251	4.33	21.9%	12.7%	98	-0.42	3.11	322	71
Eric Cerantola R 2024 · 4.65 FIP	24	SW	4.65	25.7%	16.6%	2.9%	.245	3.74	26.2%	15.9%	100	-0.91	3.37	270	71
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	71
Fernando Baez R 2017 · 5.37 FIP	25	SU	5.37	24.3%	21.2%	3.0%	.271	—	—	—	—	—	3.45	129	70

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	0.7	46	22.5%	19.2%	1.17	5.68
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*