Joe Jiménez

P Gwinnett Stripers

Age 32 RHP 6'3" / 277 lbs AAA peak 0.3 · 2027 ILInjured 60-Day (D60)

Overview

AAARPIL-6040-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	28	MLBATL	59	56	3.04	3.33	30.7%	5.9%	0.8
2024	29	MLBATL	69	69	2.62	2.05	29.6%	7.9%	2.1
2026	31	AAAATL	3	3	6.75	3.85	14.3%	14.3%	—	K 14.3% · BB 14.3% · FIP 3.70
2027PROJ	32	MLBATL	17	18	3.76	3.95	25.6%	8.8%	0.1
2028PROJ	33	MLBATL	50	52	4.04	4.23	24.8%	9.3%	0.2
2029PROJ	34	MLBATL	41	43	4.34	4.54	23.9%	9.8%	0.0

Last 3 seasons WAR 2.9 · Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

K%90

xwOBA vs90

FB Velo50

CompsJoe Nelson (age 31) · Dale Thayer (age 32) · Mike Broadway (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 9385vR 77

ERA3.76

FIP3.95

K%25.6%

BB%8.8%

K-BB%16.8%

Proj IP39

Value2027 · WAR

Runs saved vs league avg · 39 IP

Grades · Statcast · Contract

Scouting Grades

STUF6565

CTRL5050

CMD6565

K†6060

Statcast Percentiles

FB Velo

p5094.5

Whiff%

p9032.9%

p9029.6%

xwOBA vs

p900.253

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)
2015	20	A MLE	West Michigan Whitecaps	40	0	43	162	61	11	2	0%	1.1	27.9%	8.0%	19.9%	1.7%	1.47	2.68	—
2015	20	A RAW	West Michigan Whitecaps	40	0	43	162	61	11	2	0%	1.1	37.7%	6.8%	30.9%	1.2%	1.47	1.63	—
2016	21	MIX MLE	3 levels	55	0	54	203	78	16	1	0%	1.0	31.1%	8.7%	22.4%	0.6%	1.51	1.90	—
2016	21	MIX RAW	3 levels	55	0	54	203	78	16	1	0%	1.0	38.4%	7.9%	30.5%	0.5%	1.51	1.33	—
2017	22	MIX MLE	3 levels	51	1	45	206	54	19	5	2%	0.9	24.2%	9.7%	14.5%	2.6%	6.00	3.71	+0.4
2017	22	MIX RAW	3 levels	51	1	45	206	54	19	5	2%	0.9	26.2%	9.2%	17.0%	2.4%	6.00	3.41	+0.6
2018	23	MLB MLE	Detroit Tigers	68	0	63	267	78	19	5	0%	0.9	29.2%	7.1%	22.1%	2.0%	4.31	2.61	+1.5
2018	23	MLB RAW	Detroit Tigers	68	0	63	267	78	19	5	0%	0.9	29.2%	7.1%	22.1%	1.9%	4.31	2.56	+1.5
2019	24	MLB MLE	Detroit Tigers	66	0	60	257	82	22	13	0%	0.9	31.9%	8.6%	23.3%	5.3%	4.37	4.39	+0.1
2019	24	MLB RAW	Detroit Tigers	66	0	60	257	82	22	13	0%	0.9	31.9%	8.6%	23.3%	5.1%	4.37	4.29	+0.2
2020	25	MLB MLE	Detroit Tigers	25	0	23	101	22	6	7	0%	0.9	21.8%	5.9%	15.8%	7.2%	7.15	5.99	-0.4
2020	25	MLB RAW	Detroit Tigers	25	0	23	101	22	6	7	0%	0.9	21.8%	5.9%	15.8%	6.9%	7.15	5.97	-0.4
2021	26	MIX MLE	2 levels	53	0	46	214	58	34	7	0%	0.9	27.1%	16.2%	11.0%	3.0%	6.02	4.50	+0.0
2021	26	MIX RAW	2 levels	53	0	46	214	58	34	7	0%	0.9	27.1%	15.9%	11.2%	3.3%	6.02	4.76	-0.1
2022	27	MLB MLE	Detroit Tigers	62	0	57	231	77	13	4	0%	0.9	33.3%	5.6%	27.7%	1.8%	3.49	1.99	+1.7
2022	27	MLB RAW	Detroit Tigers	62	0	57	231	77	13	4	0%	0.9	33.3%	5.6%	27.7%	1.7%	3.49	1.99	+1.7
2023	28	MLB MLE	Atlanta Braves	59	0	56	238	73	14	9	0%	1.0	30.7%	5.9%	24.8%	3.8%	3.04	3.33	+0.8
2023	28	MLB RAW	Atlanta Braves	59	0	56	238	73	14	9	0%	1.0	30.7%	5.9%	24.8%	3.8%	3.04	3.33	+0.8
2024	29	MLB MLE	Atlanta Braves	69	0	69	277	82	22	2	0%	1.0	29.6%	7.9%	21.7%	0.7%	2.62	2.00	+2.1
2024	29	MLB MLE	Atlanta Braves	69	0	69	277	82	22	2	0%	1.0	29.6%	7.9%	21.7%	0.7%	2.62	2.00	+2.1
2024	29	MLB RAW	Atlanta Braves	69	0	69	277	82	22	2	0%	1.0	29.6%	7.9%	21.7%	0.7%	2.62	2.05	+2.1
2026	31	AAA MLE	Gwinnett Stripers	3	0	3	14	2	2	0	0%	0.9	14.3%	14.3%	0.0%	0.0%	6.75	3.70	—
2026	31	AAA MLE	Gwinnett Stripers	3	0	3	14	2	2	0	0%	0.9	14.3%	14.3%	0.0%	0.0%	6.75	3.70	—
2026	31	AAA RAW	Gwinnett Stripers	3	0	3	14	2	2	0	0%	0.9	14.3%	14.3%	0.0%	0.0%	6.75	3.85	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			425	0	391	1680	488	139	50	0%	0.9	29.0%	8.3%	20.8%	3.0%	4.47	3.33	+5.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	ATL	17	0	18	76	19	7	2	0%	1.1	25.6%	8.8%	16.8%	2.8%	3.76	3.95	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	ATL	50	0	52	222	55	21	7	0%	1.1	24.8%	9.3%	15.5%	3.0%	4.04	4.23	+0.2
2029	34	MLB MLE	ATL	41	0	43	180	43	18	6	0%	1.0	23.9%	9.8%	14.1%	3.3%	4.34	4.54	+0.0
2028	33	MLB CTX	ATL	50	0	52	220	54	20	7	0%	1.0	24.8%	9.3%	15.5%	3.0%	4.04	4.23	+0.2
2029	34	MLB CTX	ATL	41	0	43	182	43	18	6	0%	1.0	23.9%	9.8%	14.1%	3.3%	4.34	4.54	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		516	0	486	2082	586	177	63	0%	0.9	28.1%	8.5%	19.6%	3.0%	4.41	3.46	+6.3
/ 200 IP	—	RAW		212	0	200	856	241	73	26	0%	0.9	28.1%	8.5%	19.6%	3.0%	4.41	3.46	+2.6
Career	—	MLE		551	1	517	2170	632	183	57	0%	0.9	29.1%	8.4%	20.7%	2.6%	3.78	3.15	+5.9
/ 200 IP	—	MLE		213	0	200	839	244	71	22	0%	0.9	29.1%	8.4%	20.7%	2.6%	3.78	3.15	+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.

2017 AAAToledo Mud Hens · 25 IPFIP 1.90 → 2.35 (+0.45)K% 35.3% → 31.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.29%	—	×0.880	31.06%
BB% (unintentional) /BF	9.80%	—	×1.050	10.29%
HR / BF /BF	0.98%	÷1.049	×1.100	1.03%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. 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 1.90 → 2.35, 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).

2016 AAErie SeaWolves · 21 IPFIP 0.62 → 1.41 (+0.79)K% 42.5% → 34.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	42.50%	—	×0.810	34.42%
BB% (unintentional) /BF	8.75%	—	×1.100	9.62%
HR / BF /BF	0.00%	÷1.095	×1.200	0.00%

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 119).

Result: FIP 0.62 → 1.41, 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).

2016 A+Lakeland Flying Tigers · 17 IPFIP 0.35 → 1.37 (+1.01)K% 44.4% → 34.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	44.44%	—	×0.770	34.22%
BB% (unintentional) /BF	7.94%	—	×1.150	9.13%
HR / BF /BF	0.00%	÷1.161	×1.250	0.00%

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 132).

Result: FIP 0.35 → 1.37, 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).

2016 AAAToledo Mud Hens · 16 IPFIP 2.61 → 3.12 (+0.52)K% 26.7% → 23.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.67%	—	×0.880	23.47%
BB% (unintentional) /BF	6.67%	—	×1.050	7.00%
HR / BF /BF	1.67%	÷0.899	×1.100	2.04%

Result: FIP 2.61 → 3.12, 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).

2015 AWest Michigan Whitecaps · 43 IPFIP 1.46 → 2.68 (+1.23)K% 37.7% → 27.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.65%	—	×0.740	27.86%
BB% (unintentional) /BF	6.79%	—	×1.180	8.01%
HR / BF /BF	1.23%	÷0.954	×1.300	1.68%

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 91).

Result: FIP 1.46 → 2.68, 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
Joe Jiménez (OGILVIE)	—	—	3.95	25.6%	8.8%	2.8%	—	4.37	24.4%	14.8%	95	+0.42	—	—	—
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	84
Dale Thayer R 2013 · 3.62 FIP	32	SU	3.62	23.7%	7.4%	2.9%	.287	3.85	20.6%	15.0%	103	+0.23	2.75	239	82
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	81
Jumbo Diaz R 2016 · 3.85 FIP	32	SU	3.85	22.3%	9.2%	2.7%	.247	3.28	23.0%	13.8%	141	-0.57	2.80	319	81
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	80
Sergio Santos R 2015 · 4.17 FIP	32	SU	4.17	24.7%	8.2%	3.9%	.283	—	—	—	—	—	1.36	178	80
Kazuhiro Sasaki R 2000 · 3.93 FIP	32	SU	3.93	29.4%	9.8%	3.8%	.212	2.88	24.9%	19.3%	161	-1.05	2.76	223	79
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	79
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	78
Jose Veras R 2013 · 3.51 FIP	32	SU	3.51	23.6%	8.3%	2.5%	.234	4.28	21.9%	10.2%	65	+0.77	3.37	422	78
Spencer Patton R 2021 · 3.04 FIP	33	SU	3.04	27.9%	8.7%	2.2%	.305	4.97	21.2%	10.4%	88	+1.93	2.79	239	77
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	77
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	76
Jared Burton R 2013 · 3.20 FIP	32	SU	3.20	21.7%	6.0%	2.1%	.279	3.92	18.4%	10.0%	78	+0.72	3.09	367	76
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	75
Jean Machi R 2014 · 3.33 FIP	32	SU	3.33	20.5%	6.0%	2.2%	.225	4.34	17.8%	10.6%	186	+1.01	2.16	306	75
Chris Hatcher R 2017 · 4.31 FIP	32	SU	4.31	24.5%	7.4%	4.3%	.291	5.32	18.0%	8.4%	36	+1.01	2.51	246	75
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	75
Josh Fields R 2018 · 3.48 FIP	32	SU	3.48	21.4%	6.5%	2.5%	.224	7.56	18.9%	9.5%	25	+4.08	1.80	330	75
Steve Delabar R 2015 · 3.74 FIP	32	SU	3.74	25.0%	9.9%	2.7%	.246	4.62	20.4%	4.8%	24	+0.88	2.43	229	74

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	2.6	53	27.9%	8.8%	1.16	4.36
Trevor May ('23)	2.3	50	26.8%	8.5%	1.20	4.24
Will Smith ('24)	3.3	59	27.4%	8.7%	1.16	3.85
Hansel Robles ('22)	2.1	61	25.3%	10.2%	1.20	4.11
Alberto Reyes ('95-'08, 5 WAR*)	2.1	54	27.1%*	10.2%*	1.18*	3.66*
Bob James ('78-'87, 4 WAR*)	2.0	68	26.3%*	8.8%*	1.07*	4.04*
Rob Murphy ('85-'95, 6 WAR*)	3.1	69	25.2%*	9.2%*	1.07*	3.94*