Edwin Jimenez

P Biloxi Shuckers

Age 25 RHP 6'4" / 175 lbs AA

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	21	MIX2 levels	25	16	120	4.12	3.56	23.4%	7.1%	—	K 17.9% · BB 8.1% · FIP 4.50
2024	22	A+MIL	8	6	43	5.02	3.63	19.5%	5.4%	—	K 15.0% · BB 6.2% · FIP 4.52
2026	24	MIX2 levels	35	0	49	6.06	5.39	20.9%	7.3%	—	K 17.8% · BB 7.4% · FIP 6.31
2027PROJ	25	MLBMIL	1	0	1	4.95	4.95	18.7%	7.5%	-0.0
2028PROJ44% MLB	26	MLBMIL	15	0	16	4.86	4.84	19.7%	7.7%	-0.1

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.1 / P90 0.7, comp-based) · star 0% · didn't stick 94%

CompsJeff Niemann (age 25) · Brad Deppermann (age 25) · Juan Gutierrez (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.95

FIP4.95

K%18.7%

BB%7.5%

K-BB%11.2%

Proj IP28

Value2027 · WAR

Runs saved vs league avg · 28 IP

Grades · Contract

Scouting Grades

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 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 Indians/Brewers	12	8	41	178	32	26	2	67%	3.4	12.2%	18.3%	-6.0%	1.6%	3.05	5.24	—
2019	17	ROK RAW	DSL Indians/Brewers	12	8	41	178	32	26	2	67%	3.4	18.0%	14.6%	3.4%	1.1%	3.05	4.07	—
2021	19	ROK MLE	ACL Brewers Blue	12	8	40	169	48	12	3	67%	3.3	19.3%	8.9%	10.4%	2.6%	3.86	4.03	—
2021	19	ROK RAW	ACL Brewers Blue	12	8	40	169	48	12	3	67%	3.3	28.4%	7.1%	21.3%	1.8%	3.86	2.57	—
2022	20	A MLE	Carolina Mudcats	25	17	114	492	104	41	17	68%	4.5	15.6%	9.8%	5.8%	4.0%	4.75	5.19	—
2022	20	A RAW	Carolina Mudcats	25	17	114	492	104	41	17	68%	4.5	21.1%	8.3%	12.8%	3.5%	4.75	4.30	—
2023	21	MIX MLE	2 levels	25	16	120	496	116	35	14	64%	4.8	17.9%	8.1%	9.7%	3.4%	4.12	4.50	—
2023	21	MIX RAW	2 levels	25	16	120	496	116	35	14	64%	4.8	23.4%	7.1%	16.3%	2.8%	4.12	3.56	—
2024	22	A+ MLE	Wisconsin Timber Rattlers	8	6	43	185	36	10	5	75%	5.4	15.0%	6.2%	8.8%	3.4%	5.02	4.52	—
2024	22	A+ MLE	Wisconsin Timber Rattlers	8	6	43	185	36	10	5	75%	5.4	15.0%	6.2%	8.8%	3.4%	5.02	4.52	—
2024	22	A+ RAW	Wisconsin Timber Rattlers	8	6	43	185	36	10	5	75%	5.4	19.5%	5.4%	14.1%	2.7%	5.02	3.63	—
2026	24	MIX MLE	2 levels	35	0	49	220	46	16	12	0%	1.4	17.8%	7.4%	10.5%	6.9%	6.06	6.31	—
2026	24	MIX MLE	2 levels	35	0	49	220	46	16	12	0%	1.4	17.8%	7.4%	10.5%	6.9%	6.06	6.31	—
2026	24	MIX RAW	2 levels	35	0	49	220	46	16	12	0%	1.4	20.9%	7.3%	13.6%	5.5%	6.06	5.39	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	MIL	1	0	1	4	1	0	0	0%	1.0	18.7%	7.5%	11.2%	3.8%	4.95	4.95	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	MIL	34	0	36	151	30	12	6	0%	1.1	19.7%	7.7%	12.0%	3.7%	4.86	4.84	-0.1
2028	26	MLB CTX	MIL	15	0	16	68	13	5	3	0%	1.1	19.7%	7.7%	12.0%	3.7%	4.86	4.84	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		15	0	16	66	13	5	2	0%	1.0	19.7%	7.7%	12.0%	3.7%	4.86	4.46	+0.0
/ 200 IP	—	RAW		190	0	200	844	166	64	25	0%	1.1	19.7%	7.7%	12.0%	3.7%	4.86	4.46	+0.2
Career	—	MLE		117	55	407	1740	287	164	65	47%	3.5	16.5%	9.4%	7.1%	3.7%	4.49	4.96	-0.1
/ 200 IP	—	MLE		58	27	200	856	141	81	32	47%	3.5	16.5%	9.4%	7.1%	3.7%	4.49	4.96	-0.7

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 AABiloxi Shuckers · 48 IPFIP 5.24 → 6.31 (+1.07)K% 22.0% → 17.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.01%	—	×0.810	17.83%
BB% (unintentional) /BF	6.70%	—	×1.100	7.37%
HR / BF /BF	5.74%	÷1.000	×1.200	6.89%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. 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 5.24 → 6.31, 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 A+Wisconsin Timber Rattlers · 43 IPFIP 3.62 → 4.52 (+0.89)K% 19.5% → 15.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.46%	—	×0.770	14.98%
BB% (unintentional) /BF	5.41%	—	×1.150	6.22%
HR / BF /BF	2.70%	÷0.979	×1.250	3.45%

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 96).

Result: FIP 3.62 → 4.52, 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 A+Wisconsin Timber Rattlers · 102 IPFIP 3.95 → 4.88 (+0.93)K% 21.7% → 16.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.73%	—	×0.770	16.73%
BB% (unintentional) /BF	7.01%	—	×1.150	8.06%
HR / BF /BF	3.27%	÷1.033	×1.250	3.96%

Result: FIP 3.95 → 4.88, 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 ACarolina Mudcats · 18 IPFIP 1.18 → 2.09 (+0.91)K% 33.8% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.82%	—	×0.740	25.03%
BB% (unintentional) /BF	7.35%	—	×1.180	8.68%
HR / BF /BF	0.00%	÷1.072	×1.300	0.00%

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 114).

Result: FIP 1.18 → 2.09, 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 ACarolina Mudcats · 114 IPFIP 4.27 → 5.19 (+0.93)K% 21.1% → 15.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.14%	—	×0.740	15.64%
BB% (unintentional) /BF	8.33%	—	×1.180	9.83%
HR / BF /BF	3.46%	÷1.136	×1.300	3.95%

Result: FIP 4.27 → 5.19, 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 ROKACL Brewers Blue · 40 IPFIP 2.58 → 4.03 (+1.46)K% 28.4% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.40%	—	×0.680	19.31%
BB% (unintentional) /BF	7.10%	—	×1.250	8.88%
HR / BF /BF	1.78%	÷0.948	×1.400	2.62%

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 90).

Result: FIP 2.58 → 4.03, 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 Indians/Brewers · 41 IPFIP 4.05 → 5.24 (+1.20)K% 18.0% → 12.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.98%	—	×0.680	12.22%
BB% (unintentional) /BF	14.61%	—	×1.250	18.26%
HR / BF /BF	1.12%	÷1.000	×1.400	1.57%

Result: FIP 4.05 → 5.24, 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
Edwin Jimenez (OGILVIE)	—	—	4.95	18.7%	7.5%	3.8%	—	4.84	19.7%	12.0%	36	-0.11	—	—	—
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	87
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	83
Juan Gutierrez R 2007 · 3.96 FIP	24	SW	3.96	17.2%	4.3%	3.2%	.314	3.83	20.4%	12.6%	128	-0.13	2.67	379	82
Tristan Stevens R 2023 · 4.14 FIP	25	SW	4.14	17.3%	8.2%	2.7%	.411	3.68	15.0%	7.7%	91	-0.46	3.68	126	82
Shohei Tomioka R 2021 · 4.00 FIP	25	SW	4.00	18.9%	9.0%	2.5%	.311	4.39	17.2%	4.0%	141	+0.39	3.65	301	82
Noah Bremer R 2021 · 4.39 FIP	25	SW	4.39	18.0%	9.4%	2.9%	.292	5.82	13.1%	1.2%	46	+1.43	3.19	271	78
Darrell Rasner R 2006 · 4.07 FIP	25	SP-	4.07	13.3%	6.0%	2.4%	.246	4.56	12.5%	5.2%	138	+0.49	4.07	158	78
P.J. Walters R 2010 · 4.93 FIP	25	SW	4.93	17.1%	7.8%	4.2%	.293	5.05	14.1%	5.6%	101	+0.12	3.97	230	78
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	78
Connor Schultz R 2024 · 3.88 FIP	25	SU	3.88	19.7%	5.3%	3.2%	.283	4.02	18.8%	10.4%	156	+0.14	3.53	203	78
Michael King R 2020 · 4.56 FIP	25	SW	4.56	21.5%	9.1%	3.9%	.316	2.74	28.3%	20.8%	219	-1.82	1.97	1,024	78
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	77
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	77
Yaisel Sierra R 2016 · 4.32 FIP	25	SW	4.32	16.9%	8.6%	2.8%	.338	3.04	22.4%	12.3%	71	-1.28	3.04	176	77
David Pauley R 2008 · 4.30 FIP	25	SW	4.30	16.4%	7.5%	3.0%	.429	4.30	13.8%	7.3%	165	+0.00	3.51	210	76
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	76
Sergio Mitre R 2006 · 4.89 FIP	25	SW	4.89	16.4%	9.0%	3.7%	.276	3.91	12.4%	6.8%	201	-0.98	3.55	602	76
Ryan Tapani R 2019 · 3.86 FIP	25	SW	3.86	19.0%	7.3%	2.6%	.331	5.56	20.8%	10.6%	47	+1.70	3.86	141	76
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	75
Jake Lyons R 2023 · 4.13 FIP	24	SW	4.13	20.1%	8.5%	3.0%	.337	—	—	—	—	—	4.13	174	75

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	32	19.3%	7.6%	1.46	4.90
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Larry Casian ('90-'98, 0 WAR*)	1.2	40	14.7%*	6.8%*	1.25*	4.37*
Tom Dukes ('67-'72, -2 WAR*)	1.1	43	22.7%*	8.7%*	1.16*	5.37*