Domingo Acevedo

P Albuquerque Isotopes

Age 33 RHP 6'7" / 240 lbs AAA peak 0.1 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	28	MLBOakland Athle…	70	0	68	3.33	3.69	21.8%	4.9%	0.7
2023	29	MIX2 levels	15	0	15	10.57	6.03	16.5%	2.5%	-0.3	K 16.5% · BB 2.5% · FIP 5.51
2026	32	AAACOL	8	6	31	5.81	3.52	25.4%	13.8%	—	K 21.8% · BB 12.4% · FIP 3.70
2027PROJ	33	MLBCOL	14	0	15	4.35	4.45	23.6%	11.3%	0.0
2028PROJ6% MLB	34	MLBCOL	6	0	6	4.57	4.73	22.5%	11.4%	-0.0
2029PROJMLE	35	MLBCOL	1	0	1	4.83	5.03	21.5%	11.7%	-0.0

Last 3 seasons WAR 0.4 · Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2022

xwOBA vs68

K%47

FB Velo29

CompsChris Jakubauskas (age 32) · Giovanni Carrara (age 33) · Ivan Maldonado (age 35)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 109101vR 93

ERA4.35

FIP4.45

K%23.6%

BB%11.3%

K-BB%12.3%

Proj IP153

Value2027 · WAR

Runs saved vs league avg · 153 IP

Grades · Statcast · Contract

Scouting Grades

STUF6565

CTRL5555

CMD5050

K†5555

Statcast Percentiles

FB Velo

p2993.0

Whiff%

p8831.2%

p4721.8%

xwOBA vs

p680.294

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	A MLE	Charleston RiverDogs	1	1	2	8	1	1	0	100%	1.7	12.5%	12.5%	0.0%	0.0%	5.40	3.63	—
2015	21	A RAW	Charleston RiverDogs	1	1	2	8	1	1	0	100%	1.7	12.5%	12.5%	0.0%	0.0%	5.40	3.70	—
2016	22	MIX MLE	2 levels	18	18	93	372	102	22	4	100%	5.2	20.7%	6.9%	13.9%	1.6%	2.61	3.07	—
2016	22	MIX RAW	2 levels	18	18	93	372	102	22	4	100%	5.2	27.4%	5.9%	21.5%	1.1%	2.61	2.18	—
2017	23	MIX MLE	3 levels	23	23	133	547	142	34	13	100%	5.8	20.7%	6.8%	13.9%	3.0%	3.25	3.88	—
2017	23	MIX RAW	3 levels	23	23	133	547	142	34	13	100%	5.8	26.0%	6.2%	19.7%	2.4%	3.25	3.00	—
2018	24	AA MLE	Trenton Thunder	14	10	65	257	52	20	3	71%	4.6	16.4%	8.6%	7.8%	1.4%	2.92	3.54	—
2018	24	AA RAW	Trenton Thunder	14	10	65	257	52	20	3	71%	4.6	20.2%	7.8%	12.5%	1.2%	2.92	3.02	—
2019	25	MIX MLE	2 levels	32	0	52	210	54	13	11	0%	1.6	21.5%	6.7%	14.8%	6.1%	4.35	5.48	—
2019	25	MIX RAW	2 levels	32	0	52	210	54	13	11	0%	1.6	25.7%	6.2%	19.5%	5.2%	4.35	4.53	—
2021	27	MIX MLE	2 levels	40	0	44	170	62	10	6	0%	1.1	37.0%	5.0%	32.0%	2.8%	2.68	2.14	+1.3
2021	27	MIX RAW	2 levels	40	0	44	170	62	10	6	0%	1.1	36.5%	5.9%	30.6%	3.5%	2.68	2.73	+1.0
2022	28	MLB MLE	Oakland Athletics	70	0	68	266	58	13	9	0%	1.0	21.8%	4.9%	16.9%	3.7%	3.33	3.92	+0.5
2022	28	MLB RAW	Oakland Athletics	70	0	68	266	58	13	9	0%	1.0	21.8%	4.9%	16.9%	3.4%	3.33	3.69	+0.7
2023	29	MIX MLE	2 levels	15	0	15	79	13	2	5	0%	1.0	16.5%	2.5%	13.9%	6.3%	10.57	5.51	-0.2
2023	29	MIX RAW	2 levels	15	0	15	79	13	2	5	0%	1.0	16.5%	2.5%	13.9%	6.3%	10.57	6.03	-0.3
2026	32	AAA MLE	Albuquerque Isotopes	8	6	31	138	35	19	2	75%	3.9	21.8%	12.4%	9.4%	1.6%	5.81	3.70	—
2026	32	AAA MLE	Albuquerque Isotopes	8	6	31	138	35	19	2	75%	3.9	21.8%	12.4%	9.4%	1.6%	5.81	3.70	—
2026	32	AAA RAW	Albuquerque Isotopes	8	6	31	138	35	19	2	75%	3.9	25.4%	13.8%	11.6%	1.4%	5.81	3.52	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			89	0	88	357	74	18	14	0%	1.0	20.7%	5.0%	15.7%	3.9%	4.09	4.10	+0.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	COL	14	0	15	63	15	7	2	0%	1.1	23.6%	11.3%	12.3%	2.8%	4.35	4.45	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	COL	107	0	112	472	106	54	15	0%	1.0	22.5%	11.4%	11.1%	3.1%	4.57	4.73	-0.2
2029	35	MLB MLE	COL	82	0	86	365	79	43	13	0%	1.1	21.5%	11.7%	9.8%	3.4%	4.83	5.03	-0.5
2028	34	MLB CTX	COL	6	0	6	25	6	3	1	0%	1.0	22.5%	11.4%	11.1%	3.1%	4.57	4.73	-0.0
2029	35	MLB CTX	COL	1	0	1	4	1	0	0	0%	1.0	21.5%	11.7%	9.8%	3.4%	4.83	5.03	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		96	0	95	387	81	21	15	0%	1.0	20.9%	5.5%	15.3%	3.9%	4.13	4.16	+0.4
/ 200 IP	—	RAW		201	0	200	814	170	44	32	0%	1.0	20.9%	5.5%	15.3%	3.9%	4.13	4.16	+0.9
Career	—	MLE		221	58	502	2047	443	141	60	26%	2.3	21.6%	6.9%	14.8%	3.0%	3.55	3.77	-0.3
/ 200 IP	—	MLE		88	23	200	816	177	56	24	26%	2.3	21.6%	6.9%	14.8%	3.0%	3.55	3.77	-0.2

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 AAAAlbuquerque Isotopes · 31 IPFIP 3.50 → 3.70 (+0.20)K% 25.4% → 21.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.36%	—	×0.860	21.81%
BB% (unintentional) /BF	13.77%	—	×0.900	12.39%
HR / BF /BF	1.45%	÷1.000	×1.100	1.59%

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 3.50 → 3.70, 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 AAALas Vegas Aviators · 6 IPFIP 7.06 → 7.78 (+0.72)K% 18.8% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.75%	—	×0.860	16.12%
BB% (unintentional) /BF	3.12%	—	×0.900	2.81%
HR / BF /BF	9.38%	÷0.996	×1.100	10.36%

Result: FIP 7.06 → 7.78, 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 AAALas Vegas Aviators · 33 IPFIP 1.46 → 2.14 (+0.68)K% 42.1% → 37.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	42.06%	—	×0.880	37.02%
BB% (unintentional) /BF	4.76%	—	×1.050	5.00%
HR / BF /BF	2.38%	÷0.941	×1.100	2.78%

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 88).

Result: FIP 1.46 → 2.14, 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 AATrenton Thunder · 35 IPFIP 4.78 → 5.95 (+1.17)K% 23.9% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.91%	—	×0.810	19.37%
BB% (unintentional) /BF	7.25%	—	×1.100	7.97%
HR / BF /BF	5.07%	÷0.960	×1.200	6.34%

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 92).

Result: FIP 4.78 → 5.95, 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).

2019 AAAScranton/Wilkes-Barre RailRiders · 17 IPFIP 4.21 → 4.57 (+0.36)K% 29.2% → 25.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.17%	—	×0.880	25.67%
BB% (unintentional) /BF	4.17%	—	×1.050	4.38%
HR / BF /BF	5.56%	÷1.087	×1.100	5.62%

Result: FIP 4.21 → 4.57, 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).

2018 AATrenton Thunder · 65 IPFIP 3.02 → 3.54 (+0.53)K% 20.2% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.23%	—	×0.810	16.39%
BB% (unintentional) /BF	7.78%	—	×1.100	8.56%
HR / BF /BF	1.17%	÷1.034	×1.200	1.36%

Result: FIP 3.02 → 3.54, 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).

2017 AATrenton Thunder · 79 IPFIP 2.98 → 3.82 (+0.85)K% 26.4% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.37%	—	×0.810	21.36%
BB% (unintentional) /BF	5.47%	—	×1.100	6.01%
HR / BF /BF	2.57%	÷0.960	×1.200	3.22%

Result: FIP 2.98 → 3.82, 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).

2017 A+Tampa Yankees · 41 IPFIP 2.82 → 3.96 (+1.14)K% 28.9% → 22.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.89%	—	×0.770	22.24%
BB% (unintentional) /BF	5.00%	—	×1.150	5.75%
HR / BF /BF	2.78%	÷0.949	×1.250	3.66%

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 90).

Result: FIP 2.82 → 3.96, 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).

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
Domingo Acevedo (OGILVIE)	—	—	4.45	23.6%	11.3%	2.8%	—	4.86	22.1%	10.6%	198	+0.41	—	—	—
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	58
Giovanni Carrara R 2001 · 4.06 FIP	33	SU	4.06	20.1%	6.0%	3.5%	.249	4.28	15.7%	7.9%	173	+0.22	2.50	462	56
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	54
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	54
D.J. Carrasco R 2010 · 3.45 FIP	33	SU	3.45	19.7%	9.4%	1.5%	.275	4.47	12.0%	6.7%	49	+1.02	3.23	490	54
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	54
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	54
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	53
Toru Murata R 2016 · 3.63 FIP	31	SW	3.63	12.9%	5.7%	1.6%	.288	—	—	—	—	—	3.63	267	53
Angel Castro R 2016 · 5.42 FIP	33	SW	5.42	12.3%	9.1%	4.0%	.304	3.51	14.5%	7.1%	139	-1.91	3.51	292	53
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	52
Aquilino López R 2008 · 3.70 FIP	33	SU	3.70	17.7%	5.2%	2.6%	.301	—	—	—	—	—	3.10	207	51
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	51
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	51
Jake Sanchez R 2023 · 4.70 FIP	33	SU	4.70	20.3%	10.6%	3.6%	.317	—	—	—	—	—	1.86	361	50
Shawn Camp R 2009 · 3.73 FIP	33	SU	3.73	17.4%	7.5%	2.1%	.272	3.57	14.4%	9.7%	216	-0.16	2.79	589	50
Rafael Betancourt R 2008 · 4.12 FIP	33	SU	4.12	20.7%	6.5%	3.6%	.304	2.37	31.4%	27.3%	181	-1.75	1.79	686	50
Mitch Lively R 2017 · 3.47 FIP	31	SP-	3.47	17.0%	6.4%	1.8%	.304	—	—	—	—	—	2.39	158	50
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	2.16	306	50
Rafael Martín R 2017 · 3.40 FIP	33	SU	3.40	20.4%	5.1%	2.5%	.305	4.71	22.5%	16.5%	47	+1.31	2.94	227	49

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	2.2	110	22.4%	10.5%	1.25	4.45
Junior Guerra ('21)	2.5	85	21.2%	10.9%	1.17	4.06
Brad Peacock ('21)	2.8	93	24.7%	10.1%	1.27	4.11
Mike Armstrong ('80-'87, 0 WAR*)	1.7	113	23.0%*	10.9%*	1.41*	4.36*
Tim Birtsas ('85-'90, -0 WAR*)	1.6	82	21.4%*	11.7%*	1.31*	4.63*
Eduardo Rodriguez ('73-'79, 3 WAR*)	3.7	105	21.1%*	10.1%*	1.14*	4.34*
Jake Faria ('23)	1.0	68	20.9%	10.3%	1.32	4.87