José Leclerc

P El Paso Chihuahuas

Age 33 RHP 6'0" / 195 lbs AAA peak 0.6 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	30	MLBTEX	64	0	67	4.32	3.19	30.9%	10.8%	1.1
2025	31	MLBOAK	10	0	9	6.00	7.32	17.4%	10.9%	-0.3
2026	32	MIX4 levels	22	3	24	7.77	5.65	21.8%	10.1%	—	K 21.8% · BB 10.1% · FIP 5.30
2027PROJ	33	MLBSD	1	0	1	3.87	3.79	30.3%	9.9%	0.0
2028PROJ	34	MLBSD	51	0	54	4.00	4.09	29.4%	10.4%	0.3
2029PROJ	35	MLBSD	43	0	45	4.25	4.42	28.4%	10.9%	0.1

Last 3 seasons WAR 0.8 · Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff70Control35Command60FB velo55

CompsJoe Nelson (age 33) · Jim Henderson (age 33) · Spencer Patton (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10597vR 89

ERA3.87

FIP3.79

K%30.3%

BB%9.9%

K-BB%20.4%

Proj IP64

Value2027 · WAR

Runs saved vs league avg · 64 IP

Grades · Contract

Scouting Grades

STUF7070

CTRL3535

CMD6060

K†7070

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	21	AA MLE	Frisco RoughRiders	26	22	103	472	98	73	8	85%	4.0	16.8%	17.0%	-0.2%	2.2%	5.77	5.02	—
2015	21	AA RAW	Frisco RoughRiders	26	22	103	472	98	73	8	85%	4.0	20.8%	15.5%	5.3%	1.7%	5.77	4.33	—
2016	22	MIX MLE	3 levels	51	2	81	337	93	49	4	4%	1.6	24.2%	15.3%	9.0%	1.5%	2.78	3.81	+0.7
2016	22	MIX RAW	3 levels	51	2	81	337	93	49	4	4%	1.6	27.6%	14.5%	13.1%	1.2%	2.78	3.26	+1.2
2017	23	MIX MLE	2 levels	49	0	48	207	63	39	4	0%	1.0	30.0%	19.5%	10.5%	1.9%	3.78	4.09	+0.3
2017	23	MIX RAW	2 levels	49	0	48	207	63	39	4	0%	1.0	30.4%	18.8%	11.6%	1.9%	3.78	4.00	+0.3
2018	24	MIX MLE	2 levels	63	0	62	246	94	29	1	0%	1.0	38.1%	10.8%	27.4%	0.4%	2.02	1.48	+2.3
2018	24	MIX RAW	2 levels	63	0	62	246	94	29	1	0%	1.0	38.2%	11.8%	26.4%	0.4%	2.02	1.69	+2.2
2019	25	MLB MLE	Texas Rangers	70	3	69	299	100	38	7	4%	1.0	33.4%	12.7%	20.7%	2.3%	4.33	3.12	+1.2
2019	25	MLB RAW	Texas Rangers	70	3	69	299	100	38	7	4%	1.0	33.4%	12.7%	20.7%	2.3%	4.33	3.17	+1.1
2020	26	MLB MLE	Texas Rangers	2	0	2	10	3	2	0	0%	1.0	30.0%	20.0%	10.0%	0.0%	4.50	3.10	+0.0
2020	26	MLB RAW	Texas Rangers	2	0	2	10	3	2	0	0%	1.0	30.0%	20.0%	10.0%	0.0%	4.50	3.10	+0.0
2022	28	MIX MLE	3 levels	48	0	57	240	65	26	5	0%	1.2	27.3%	10.6%	16.7%	2.3%	3.18	3.43	+0.8
2022	28	MIX RAW	3 levels	48	0	57	240	65	26	5	0%	1.2	27.1%	10.8%	16.2%	2.1%	3.18	3.33	+0.8
2023	29	MIX MLE	2 levels	59	0	59	240	68	26	6	0%	1.0	28.8%	11.2%	17.6%	2.0%	2.75	3.18	+1.0
2023	29	MIX RAW	2 levels	59	0	59	240	68	26	6	0%	1.0	28.3%	10.8%	17.5%	2.5%	2.75	3.44	+0.8
2024	30	MLB MLE	Texas Rangers	64	0	67	288	89	31	7	0%	1.0	30.9%	10.8%	20.1%	2.3%	4.32	3.09	+1.2
2024	30	MLB MLE	Texas Rangers	64	0	67	288	89	31	7	0%	1.0	30.9%	10.8%	20.1%	2.3%	4.32	3.09	+1.2
2024	30	MLB RAW	Texas Rangers	64	0	67	288	89	31	7	0%	1.0	30.9%	10.8%	20.1%	2.4%	4.32	3.19	+1.1
2025	31	MLB MLE	Athletics	10	0	9	46	8	5	3	0%	0.9	17.4%	10.9%	6.5%	6.5%	6.00	6.59	-0.2
2025	31	MLB MLE	Athletics	10	0	9	46	8	5	3	0%	0.9	17.4%	10.9%	6.5%	6.5%	6.00	6.59	-0.2
2025	31	MLB RAW	Athletics	10	0	9	46	8	5	3	0%	0.9	17.4%	10.9%	6.5%	6.5%	6.00	7.32	-0.3
2026	32	MIX MLE	4 levels	22	3	24	119	26	12	6	14%	1.1	21.8%	10.1%	11.8%	5.0%	7.77	5.30	—
2026	32	MIX MLE	4 levels	22	3	24	119	26	12	6	14%	1.1	21.8%	10.1%	11.8%	5.0%	7.77	5.30	—
2026	32	MIX RAW	4 levels	22	3	24	119	26	12	6	14%	1.1	21.8%	10.1%	11.8%	5.0%	7.77	5.65	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			360	3	369	1563	481	197	32	1%	1.0	30.8%	12.6%	18.2%	2.0%	3.34	3.22	+5.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	SD	1	0	1	4	1	0	0	0%	1.0	30.3%	9.9%	20.4%	2.9%	3.87	3.79	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	SD	52	0	54	230	67	24	7	0%	1.0	29.4%	10.4%	19.0%	3.2%	4.00	4.09	+0.3
2029	35	MLB MLE	SD	43	0	45	190	54	21	7	0%	1.0	28.4%	10.9%	17.5%	3.6%	4.25	4.42	+0.1
2028	34	MLB CTX	SD	51	0	54	228	67	24	7	0%	1.1	29.4%	10.4%	19.0%	3.2%	4.00	4.09	+0.3
2029	35	MLB CTX	SD	43	0	45	190	54	21	7	0%	1.0	28.4%	10.9%	17.5%	3.6%	4.25	4.42	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		455	3	469	1982	602	242	46	1%	1.0	30.4%	12.2%	18.2%	2.3%	3.50	3.36	+6.7
/ 200 IP	—	RAW		194	1	200	846	257	103	20	1%	1.0	30.4%	12.2%	18.2%	2.3%	3.50	3.36	+2.8
Career	—	MLE		464	30	580	2504	677	339	53	6%	1.3	27.1%	13.5%	13.5%	2.1%	3.97	3.69	+6.2
/ 200 IP	—	MLE		160	10	200	863	233	117	18	6%	1.3	27.1%	13.5%	13.5%	2.1%	3.97	3.69	+2.7

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 AAAEl Paso Chihuahuas · 8 IPFIP 6.96 → 7.08 (+0.12)K% 8.7% → 7.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	8.70%	—	×0.860	7.48%
BB% (unintentional) /BF	17.39%	—	×0.900	15.65%
HR / BF /BF	4.35%	÷1.000	×1.100	4.78%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, 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 100).

Result: FIP 6.96 → 7.08, 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).

2026 AASan Antonio Missions · 8 IPFIP 5.78 → 7.10 (+1.33)K% 26.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.83%	—	×0.810	21.73%
BB% (unintentional) /BF	7.32%	—	×1.100	8.05%
HR / BF /BF	7.32%	÷1.000	×1.200	8.78%

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 5.78 → 7.10, 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).

2026 ROKACL Padres · 5 IPFIP 2.72 → 4.96 (+2.25)K% 40.9% → 27.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.91%	—	×0.680	27.82%
BB% (unintentional) /BF	4.55%	—	×1.250	5.68%
HR / BF /BF	4.55%	÷1.000	×1.400	6.36%

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 2.72 → 4.96, 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 AAARound Rock Express · 7 IPFIP 2.96 → 3.33 (+0.36)K% 25.8% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.81%	—	×0.880	22.71%
BB% (unintentional) /BF	16.13%	—	×1.050	16.94%
HR / BF /BF	0.00%	÷0.957	×1.100	0.00%

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 91).

Result: FIP 2.96 → 3.33, 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).

2018 AAARound Rock Express · 5 IPFIP 2.55 → 3.08 (+0.53)K% 39.1% → 34.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	39.13%	—	×0.880	34.43%
BB% (unintentional) /BF	21.74%	—	×1.050	22.83%
HR / BF /BF	0.00%	÷0.978	×1.100	0.00%

Result: FIP 2.55 → 3.08, 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).

2016 AAARound Rock Express · 43 IPFIP 3.65 → 4.33 (+0.68)K% 28.4% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.41%	—	×0.880	25.00%
BB% (unintentional) /BF	15.91%	—	×1.050	16.70%
HR / BF /BF	1.70%	÷0.839	×1.100	2.23%

Result: FIP 3.65 → 4.33, 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 AAFrisco RoughRiders · 23 IPFIP 2.52 → 3.20 (+0.68)K% 29.5% → 23.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.47%	—	×0.810	23.87%
BB% (unintentional) /BF	10.53%	—	×1.100	11.58%
HR / BF /BF	1.05%	÷1.065	×1.200	1.19%

Result: FIP 2.52 → 3.20, 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 AAFrisco RoughRiders · 103 IPFIP 4.24 → 5.02 (+0.78)K% 20.8% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.76%	—	×0.810	16.82%
BB% (unintentional) /BF	15.47%	—	×1.100	17.01%
HR / BF /BF	1.69%	÷0.946	×1.200	2.15%

Result: FIP 4.24 → 5.02, 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
José Leclerc (OGILVIE)	—	—	3.79	30.3%	9.9%	2.9%	—	4.24	28.9%	18.3%	99	+0.45	—	—	—
Joe Nelson R 2008 · 3.08 FIP	33	SU	3.08	26.1%	7.8%	2.2%	.252	5.35	19.8%	5.5%	40	+2.27	3.08	139	81
Jim Henderson R 2016 · 4.55 FIP	33	SU	4.55	25.8%	9.0%	4.5%	.287	—	—	—	—	—	1.86	167	77
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	75
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	74
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	74
Brendan Donnelly R 2004 · 3.05 FIP	33	SU	3.05	32.6%	8.7%	2.9%	.302	3.88	19.0%	11.8%	150	+0.83	2.23	385	73
Huascar Brazobán R 2023 · 3.52 FIP	33	SU	3.52	25.3%	11.3%	2.1%	.304	3.54	21.9%	11.8%	195	+0.02	3.08	370	72
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	71
Scott McGough R 2023 · 4.57 FIP	33	SU	4.57	28.6%	9.3%	4.9%	.266	4.23	19.4%	9.4%	126	-0.34	3.55	429	69
Marcos Mateo R 2015 · 3.12 FIP	31	SU	3.12	28.0%	8.0%	2.5%	.247	—	—	—	—	—	3.12	104	69
Blake Parker R 2018 · 4.12 FIP	33	SU	4.12	25.4%	6.5%	4.3%	.290	4.12	24.9%	16.5%	121	+0.00	2.52	406	68
Dale Thayer R 2014 · 3.56 FIP	33	SU	3.56	23.4%	4.9%	3.3%	.243	4.34	15.8%	8.8%	38	+0.78	2.75	239	67
Akinori Otsuka R 2005 · 3.05 FIP	33	SU	3.05	21.7%	9.4%	1.1%	.278	2.59	19.4%	14.2%	92	-0.46	2.39	232	67
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	66
James Hoyt R 2020 · 2.74 FIP	33	SU	2.74	32.3%	11.3%	1.7%	.235	6.83	17.8%	6.0%	35	+4.09	1.61	312	65
Neil Wagner R 2017 · 3.11 FIP	33	SU	3.11	20.7%	8.6%	1.2%	.257	—	—	—	—	—	3.11	135	65
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	65
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	65
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	64
Jay Jackson R 2021 · 4.14 FIP	33	SU	4.14	31.1%	13.3%	3.6%	.255	4.48	26.4%	20.6%	105	+0.34	2.36	261	64

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	2.7	59	30.4%	12.3%	0.93	3.55
Corey Knebel ('22)	1.5	51	31.7%	11.2%	1.00	3.26
Brad Lidge ('12)	3.0	75	30.9%	11.1%	0.85	3.54
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Jake Diekman ('24)	3.0	50	28.7%	13.4%	0.79	3.91
Tippy Martinez ('74-'88, 9 WAR*)	4.2	76	27.7%*	12.0%*	0.77*	3.82*
Mark Littell ('73-'82, 7 WAR*)	2.7	66	30.7%*	13.4%*	0.74*	3.75*