José Cisnero

P Los Angeles Angels

Age 38 RHP 6'3" / 258 lbs MLB peak 0.1 · 2027

Overview

MLBRP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	33	MIX3 levels	35	0	31	2.30	3.36	21.6%	16.4%	0.4	K 21.9% · BB 18.1% · FIP 3.54
2023	34	MLBDET	63	0	59	5.31	4.09	26.2%	8.6%	0.3
2024	35	MIX2 levels	19	0	20	5.75	4.67	25.8%	10.3%	-0.0	K 23.0% · BB 10.8% · FIP 5.44
2025	36	No MLB games played
2026	37	No MLB games played
2027PROJ	38	MLBLAA	45	0	47	4.43	4.35	24.1%	9.6%	0.1
2028PROJ86% MLB	39	MLBLAA	25	0	26	4.64	4.79	23.0%	10.3%	-0.1

Last 3 seasons WAR 0.7 · Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

FB Velo60

K%54

xwOBA vs10

CompsJuan Sandoval (age 38) · Rudy Gonzalez (age 36) · Keiichi Yabu (age 39)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 100

ERA4.43

FIP4.35

K%24.1%

BB%9.6%

K-BB%14.5%

Proj IP47

Value2027 · WAR

Runs saved vs league avg · 47 IP

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL3535

CMD5050

K†6060

Statcast Percentiles

FB Velo

p6095.2

Whiff%

p5325.7%

p5423.0%

xwOBA vs

p100.373

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)
2013	24	MLB MLE	Houston Astros	28	0	44	198	41	17	5	0%	1.6	20.7%	8.6%	12.1%	2.6%	4.12	3.86	+0.4
2013	24	MLB RAW	Houston Astros	28	0	44	198	41	17	5	0%	1.6	20.7%	8.6%	12.1%	2.5%	4.12	3.88	+0.3
2014	25	MLB MLE	Houston Astros	5	0	5	25	5	4	0	0%	0.9	20.0%	16.0%	4.0%	0.0%	9.64	3.44	+0.1
2014	25	MLB RAW	Houston Astros	5	0	5	25	5	4	0	0%	0.9	20.0%	16.0%	4.0%	0.0%	9.64	3.53	+0.1
2015	26	AA MLE	Pensacola Blue Wahoos	4	0	5	21	6	4	0	0%	1.3	28.6%	19.0%	9.5%	0.0%	3.38	3.10	—
2015	26	AA RAW	Pensacola Blue Wahoos	4	0	5	21	6	4	0	0%	1.3	28.6%	19.0%	9.5%	0.0%	3.38	3.10	—
2016	27	AAA MLE	Sultanes de Monterrey	13	0	12	54	16	6	2	0%	0.9	26.1%	11.7%	14.4%	3.9%	5.25	4.50	—
2016	27	AAA RAW	Sultanes de Monterrey	13	0	12	54	16	6	2	0%	0.9	29.6%	11.1%	18.5%	3.7%	5.25	4.10	—
2019	30	MIX MLE	2 levels	67	2	75	339	89	37	8	3%	1.1	24.5%	11.2%	13.3%	2.6%	3.46	3.90	+0.6
2019	30	MIX RAW	2 levels	67	2	75	339	89	37	8	3%	1.1	26.3%	10.9%	15.3%	2.4%	3.46	3.59	+0.9
2020	31	MLB MLE	Detroit Tigers	29	0	30	123	34	10	1	0%	1.0	27.6%	8.1%	19.5%	0.8%	3.03	2.26	+0.8
2020	31	MLB RAW	Detroit Tigers	29	0	30	123	34	10	1	0%	1.0	27.6%	8.1%	19.5%	0.8%	3.03	2.26	+0.8
2021	32	MLB MLE	Detroit Tigers	67	0	62	265	62	30	6	0%	0.9	23.4%	11.3%	12.1%	2.4%	3.65	3.86	+0.5
2021	32	MLB RAW	Detroit Tigers	67	0	62	265	62	30	6	0%	0.9	23.4%	11.3%	12.1%	2.3%	3.65	3.81	+0.5
2022	33	MIX MLE	3 levels	35	0	31	134	29	22	0	0%	0.9	21.9%	18.1%	3.8%	0.0%	2.30	3.54	+0.4
2022	33	MIX RAW	3 levels	35	0	31	134	29	22	0	0%	0.9	21.6%	16.4%	5.2%	0.0%	2.30	3.36	+0.4
2023	34	MLB MLE	Detroit Tigers	63	0	59	267	70	23	10	0%	0.9	26.2%	8.6%	17.6%	3.9%	5.31	4.12	+0.3
2023	34	MLB RAW	Detroit Tigers	63	0	59	267	70	23	10	0%	0.9	26.2%	8.6%	17.6%	3.7%	5.31	4.09	+0.3
2024	35	MIX MLE	2 levels	19	0	20	97	25	10	4	0%	1.1	23.0%	10.8%	12.2%	5.3%	5.75	5.44	-0.2
2024	35	MIX MLE	2 levels	19	0	20	97	25	10	4	0%	1.1	23.0%	10.8%	12.2%	5.3%	5.75	5.44	-0.2
2024	35	MIX RAW	2 levels	19	0	20	97	25	10	4	0%	1.1	25.8%	10.3%	15.5%	4.1%	5.75	4.67	-0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			270	0	275	1219	292	127	31	0%	1.0	24.0%	10.4%	13.5%	2.5%	4.16	3.83	+2.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	38	MLB	LAA	45	0	47	198	48	19	6	0%	1.0	24.1%	9.6%	14.5%	3.1%	4.43	4.35	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	39	MLB MLE	LAA	29	0	31	130	30	13	5	0%	1.1	23.0%	10.3%	12.7%	3.5%	4.64	4.79	-0.1
2028	39	MLB CTX	LAA	25	0	26	110	25	11	4	0%	1.0	23.0%	10.3%	12.7%	3.5%	4.64	4.79	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		295	0	301	1330	318	138	35	0%	1.0	23.9%	10.4%	13.5%	2.6%	4.20	3.84	+2.5
/ 200 IP	—	RAW		196	0	200	883	211	92	23	0%	1.0	23.9%	10.4%	13.5%	2.6%	4.20	3.84	+1.7
Career	—	MLE		330	2	343	1523	367	167	39	1%	1.0	24.1%	11.0%	13.1%	2.6%	4.04	3.86	+2.3
/ 200 IP	—	MLE		192	1	200	887	214	97	23	1%	1.0	24.1%	11.0%	13.1%	2.6%	4.04	3.86	+1.5

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.

2024 AAASalt Lake Bees · 5 IPFIP 1.26 → 1.57 (+0.30)K% 34.8% → 29.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.78%	—	×0.860	29.91%
BB% (unintentional) /BF	8.70%	—	×0.900	7.83%
HR / BF /BF	0.00%	÷0.886	×1.100	0.00%

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 77).

Result: FIP 1.26 → 1.57, 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 AAAToledo Mud Hens · 6 IPFIP 1.37 → 1.68 (+0.31)K% 27.3% → 24.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.880	24.00%
BB% (unintentional) /BF	4.55%	—	×1.050	4.77%
HR / BF /BF	0.00%	÷1.026	×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 105).

Result: FIP 1.37 → 1.68, 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).

2019 AAAToledo Mud Hens · 40 IPFIP 3.20 → 3.77 (+0.58)K% 27.7% → 24.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.68%	—	×0.880	24.36%
BB% (unintentional) /BF	11.86%	—	×1.050	12.46%
HR / BF /BF	1.69%	÷0.888	×1.100	2.10%

Result: FIP 3.20 → 3.77, 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 AAASultanes de Monterrey · 12 IPFIP 4.04 → 4.50 (+0.46)K% 29.6% → 26.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.63%	—	×0.880	26.07%
BB% (unintentional) /BF	11.11%	—	×1.050	11.67%
HR / BF /BF	3.70%	÷1.051	×1.100	3.88%

Result: FIP 4.04 → 4.50, 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 AAPensacola Blue Wahoos · 5 IPFIP 3.10 → 3.80 (+0.70)K% 28.6% → 23.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.810	23.14%
BB% (unintentional) /BF	19.05%	—	×1.100	20.95%
HR / BF /BF	0.00%	÷1.037	×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 107).

Result: FIP 3.10 → 3.80, 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 Cisnero (OGILVIE)	—	—	4.35	24.1%	9.6%	3.1%	—	4.79	23.0%	12.7%	31	+0.44	—	—	—
Juan Sandoval R 2019 · 5.41 FIP	38	SU	5.41	15.9%	7.2%	5.0%	.273	—	—	—	—	—	3.24	225	69
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	67
Keiichi Yabu R 2008 · 3.48 FIP	39	SU	3.48	15.9%	9.3%	1.0%	.269	—	—	—	—	—	3.48	126	66
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	65
Billy Taylor R 2000 · 4.53 FIP	38	SU	4.53	21.0%	11.3%	3.2%	.275	—	—	—	—	—	2.94	323	64
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	62
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	55
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	54
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	54
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	48
Tony Pena Jr. R 2017 · 3.43 FIP	36	SU	3.43	10.9%	4.3%	1.3%	.312	—	—	—	—	—	2.80	128	48
Hisanori Takahashi L 2012 · 4.04 FIP	37	SU	4.04	24.5%	6.1%	4.1%	.295	—	—	—	—	—	3.50	240	35
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	32
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	30

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	1.8	44	23.9%	11.0%	1.04	4.24
Al Reyes ('08)	2.1	54	23.2%	10.7%	1.11	3.84
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Will Ohman ('12)	1.8	50	21.8%	10.3%	1.07	4.28
Ray Searage ('81-'90, 4 WAR*)	1.4	41	21.0%*	10.8%*	0.84*	3.70*
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*
Dave Geisel ('78-'85, 2 WAR*)	1.0	42	23.5%*	10.6%*	0.84*	4.12*