Jose Acuna

P Chattanooga Lookouts

Age 24 RHP 6'2" / 175 lbs AA peak 0.5 · 2029

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	MIX3 levels	15	12	39	3.69	3.05	22.5%	7.3%	—	K 18.3% · BB 6.3% · FIP 3.40
2025	22	AACIN	18	18	72	3.64	4.22	22.9%	12.6%	—	K 18.6% · BB 13.9% · FIP 5.01
2026	23	MIX2 levels	26	25	125	4.48	4.50	23.8%	12.1%	—	K 19.6% · BB 12.1% · FIP 5.18
2027PROJ	24	MLBCIN	1	1	1	5.53	5.53	18.3%	13.7%	-0.0
2028PROJ44% MLB	25	MLBCIN	6	6	38	5.33	5.28	19.1%	12.4%	0.1
2029PROJ67% MLB	26	MLBCIN	9	9	52	5.21	5.18	19.5%	12.0%	0.1

Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control35Command40

Career WAR0.0 WAR median (P10 -0.5 / P90 5.0, comp-based) · star 1% · didn't stick 83%

CompsKhristian Curtis (age 22) · Joel Hanrahan (age 25) · J.P. France (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138130vR 122

ERA5.53

FIP5.53

K%18.3%

BB%13.7%

K-BB%4.6%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL3535

CMD4040

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)
2021	18	ROK MLE	FCL Mets	4	3	7	27	7	3	2	75%	1.8	25.9%	11.1%	14.8%	7.4%	3.86	6.38	—
2021	18	ROK RAW	FCL Mets	4	3	7	27	7	3	2	75%	1.8	25.9%	11.1%	14.8%	7.4%	3.86	6.10	—
2022	19	MIX MLE	2 levels	15	10	65	257	83	22	3	67%	4.3	23.1%	10.3%	12.8%	1.6%	2.91	3.33	—
2022	19	MIX RAW	2 levels	15	10	65	257	83	22	3	67%	4.3	32.3%	8.6%	23.7%	1.2%	2.91	2.16	—
2023	20	A+ MLE	Dayton Dragons	22	19	101	427	100	44	14	86%	4.6	18.0%	11.9%	6.2%	4.3%	3.93	5.44	—
2023	20	A+ RAW	Dayton Dragons	22	19	101	427	100	44	14	86%	4.6	23.4%	10.3%	13.1%	3.3%	3.93	4.23	—
2024	21	MIX MLE	3 levels	15	12	39	178	40	13	3	80%	2.6	18.3%	6.3%	12.0%	1.9%	3.69	3.40	—
2024	21	MIX MLE	3 levels	15	12	39	178	40	13	3	80%	2.6	18.3%	6.3%	12.0%	1.9%	3.69	3.40	—
2024	21	MIX RAW	3 levels	15	12	39	178	40	13	3	80%	2.6	22.5%	7.3%	15.2%	1.7%	3.69	3.05	—
2025	22	AA MLE	Chattanooga Lookouts	18	18	72	301	69	38	8	100%	4.0	18.6%	13.9%	4.7%	3.1%	3.64	5.01	—
2025	22	AA MLE	Chattanooga Lookouts	18	18	72	301	69	38	8	100%	4.0	18.6%	13.9%	4.7%	3.1%	3.64	5.01	—
2025	22	AA RAW	Chattanooga Lookouts	18	18	72	301	69	38	8	100%	4.0	22.9%	12.6%	10.3%	2.7%	3.64	4.22	—
2026	23	MIX MLE	2 levels	26	25	125	522	124	63	18	96%	4.8	19.6%	12.1%	7.4%	4.0%	4.48	5.18	—
2026	23	MIX MLE	2 levels	26	25	125	522	124	63	18	96%	4.8	19.6%	12.1%	7.4%	4.0%	4.48	5.18	—
2026	23	MIX RAW	2 levels	26	25	125	522	124	63	18	96%	4.8	23.8%	12.1%	11.7%	3.4%	4.48	4.50	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	CIN	1	1	1	4	1	1	0	100%	1.0	18.3%	13.7%	4.6%	3.4%	5.53	5.53	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	CIN	15	15	86	364	69	45	12	100%	5.7	19.1%	12.4%	6.7%	3.3%	5.33	5.28	+0.1
2029	26	MLB MLE	CIN	13	13	78	329	64	40	11	100%	6.0	19.5%	12.0%	7.5%	3.3%	5.21	5.18	+0.2
2030	27	MLB MLE	CIN	12	12	74	311	61	37	10	100%	6.1	19.6%	11.9%	7.7%	3.4%	5.17	5.17	+0.2
2031	28	MLB MLE	CIN	12	12	70	294	57	35	10	100%	5.8	19.5%	11.9%	7.6%	3.4%	5.20	5.23	+0.1
2032	29	MLB MLE	CIN	11	11	64	272	53	33	10	100%	5.9	19.3%	12.2%	7.1%	3.6%	5.30	5.36	+0.0
2033	30	MLB MLE	CIN	10	10	59	247	47	31	9	100%	5.9	18.9%	12.5%	6.5%	3.8%	5.44	5.54	-0.1
2028	25	MLB CTX	CIN	6	6	38	160	31	20	5	100%	6.3	19.1%	12.4%	6.7%	3.3%	5.33	5.28	+0.1
2029	26	MLB CTX	CIN	9	9	52	220	43	26	7	100%	5.8	19.5%	12.0%	7.5%	3.3%	5.21	5.18	+0.1
2030	27	MLB CTX	CIN	10	10	57	241	47	29	8	100%	5.7	19.6%	11.9%	7.7%	3.4%	5.17	5.17	+0.1
2031	28	MLB CTX	CIN	10	10	59	249	49	30	9	100%	5.9	19.5%	11.9%	7.6%	3.4%	5.20	5.23	+0.1
2032	29	MLB CTX	CIN	10	10	57	241	46	29	9	100%	5.7	19.3%	12.2%	7.1%	3.6%	5.30	5.36	+0.0
2033	30	MLB CTX	CIN	9	9	53	224	42	28	8	100%	5.9	18.9%	12.5%	6.5%	3.8%	5.44	5.54	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		53	53	315	1330	257	161	46	100%	5.9	19.3%	12.1%	7.2%	3.5%	5.27	4.91	+1.7
/ 200 IP	—	RAW		33	33	200	844	163	102	29	100%	6.0	19.3%	12.1%	7.2%	3.5%	5.27	4.91	+1.1
Career	—	MLE		100	87	408	1712	334	196	58	87%	4.1	19.5%	11.5%	8.0%	3.4%	3.86	4.77	+0.6
/ 200 IP	—	MLE		49	43	200	839	164	96	29	87%	4.1	19.5%	11.5%	8.0%	3.4%	3.86	4.77	+0.3

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 AAChattanooga Lookouts · 84 IPFIP 3.88 → 4.80 (+0.92)K% 26.9% → 21.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.87%	—	×0.810	21.76%
BB% (unintentional) /BF	9.85%	—	×1.100	10.84%
HR / BF /BF	3.28%	÷1.000	×1.200	3.94%

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 3.88 → 4.80, 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).

2026 AAALouisville Bats · 41 IPFIP 5.65 → 5.87 (+0.22)K% 18.2% → 15.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.18%	—	×0.860	15.64%
BB% (unintentional) /BF	16.04%	—	×0.900	14.44%
HR / BF /BF	3.74%	÷1.000	×1.100	4.12%

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 5.65 → 5.87, 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).

2025 AAChattanooga Lookouts · 72 IPFIP 4.22 → 5.01 (+0.78)K% 22.9% → 18.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.92%	—	×0.810	18.57%
BB% (unintentional) /BF	12.62%	—	×1.100	13.89%
HR / BF /BF	2.66%	÷1.021	×1.200	3.12%

Result: FIP 4.22 → 5.01, 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 AAChattanooga Lookouts · 22 IPFIP 2.19 → 2.75 (+0.57)K% 26.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.80%	—	×0.810	21.71%
BB% (unintentional) /BF	6.19%	—	×1.100	6.80%
HR / BF /BF	1.03%	÷1.089	×1.200	1.14%

Result: FIP 2.19 → 2.75, 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 AAALouisville Bats · 13 IPFIP 4.27 → 4.36 (+0.09)K% 15.4% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.38%	—	×0.860	13.23%
BB% (unintentional) /BF	6.15%	—	×0.900	5.54%
HR / BF /BF	3.08%	÷1.111	×1.100	3.05%

Result: FIP 4.27 → 4.36, 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+Dayton Dragons · 101 IPFIP 4.23 → 5.44 (+1.22)K% 23.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.42%	—	×0.770	18.03%
BB% (unintentional) /BF	10.30%	—	×1.150	11.85%
HR / BF /BF	3.28%	÷0.951	×1.250	4.31%

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 4.23 → 5.44, 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 ADaytona Tortugas · 39 IPFIP 2.13 → 3.17 (+1.05)K% 30.1% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.13%	—	×0.740	22.29%
BB% (unintentional) /BF	9.62%	—	×1.180	11.35%
HR / BF /BF	0.64%	÷0.883	×1.300	0.94%

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 77).

Result: FIP 2.13 → 3.17, 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 ROKFCL Mets · 26 IPFIP 2.05 → 3.56 (+1.51)K% 35.6% → 24.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.64%	—	×0.680	24.24%
BB% (unintentional) /BF	6.93%	—	×1.250	8.66%
HR / BF /BF	1.98%	÷1.078	×1.400	2.57%

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 116).

Result: FIP 2.05 → 3.56, 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
Jose Acuna (OGILVIE)	—	—	5.53	18.3%	13.7%	3.4%	—	5.21	19.4%	7.2%	238	-0.32	—	—	—
Khristian Curtis R 2024 · 5.48 FIP	22	SP	5.48	18.8%	14.4%	3.9%	.275	4.62	20.6%	8.4%	216	-0.86	4.60	291	88
Joel Hanrahan R 2007 · 5.58 FIP	25	SP	5.58	17.4%	15.4%	3.6%	.318	3.06	27.8%	18.1%	218	-2.52	2.08	397	87
J.P. France R 2019 · 5.32 FIP	24	SP-	5.32	17.9%	13.9%	3.6%	.285	4.24	26.3%	15.2%	225	-1.08	4.04	577	86
Will Sanders R 2024 · 4.95 FIP	22	SP	4.95	19.3%	11.8%	3.6%	.297	4.11	20.1%	12.5%	173	-0.84	3.92	266	85
Paxton Schultz R 2022 · 5.27 FIP	24	SP-	5.27	17.5%	12.2%	3.8%	.293	4.31	21.9%	11.8%	274	-0.96	3.83	543	85
Jake Bockenstedt R 2024 · 6.05 FIP	24	SP	6.05	17.0%	13.1%	5.0%	.322	4.35	16.8%	5.4%	126	-1.70	3.74	218	85
Connor Staine R 2024 · 4.80 FIP	23	SP	4.80	20.3%	12.6%	3.3%	.266	5.19	16.1%	3.4%	230	+0.39	3.86	414	85
Aaron Heilman R 2003 · 5.57 FIP	24	SP	5.57	16.2%	12.4%	4.1%	.311	3.13	22.0%	14.1%	223	-2.44	2.76	630	84
Bryce Osmond R 2023 · 5.56 FIP	22	SP	5.56	18.0%	12.4%	4.4%	.294	7.13	16.7%	3.8%	80	+1.57	5.56	177	83
Hayden Merda R 2023 · 5.17 FIP	23	SP	5.17	16.1%	15.3%	2.7%	.325	4.59	25.5%	10.9%	108	-0.58	4.20	203	83
Jake Peppers R 2024 · 5.02 FIP	22	SP	5.02	15.3%	12.2%	3.0%	.293	5.15	14.8%	-1.3%	89	+0.13	4.83	186	82
J.P. Massey R 2024 · 4.72 FIP	24	SP	4.72	16.1%	14.2%	2.1%	.283	5.71	15.5%	-1.3%	46	+0.99	4.72	195	82
Jacob Meador R 2024 · 5.34 FIP	23	SP-	5.34	15.6%	14.0%	3.2%	.301	6.73	14.7%	-6.6%	50	+1.39	5.34	139	82
Josh Bostick R 2024 · 4.65 FIP	22	SP	4.65	19.3%	11.2%	3.2%	.304	5.40	21.7%	12.6%	119	+0.75	4.65	226	82
David Griffin R 2021 · 4.43 FIP	25	SP	4.43	19.2%	11.9%	2.6%	.279	5.25	15.4%	5.9%	168	+0.82	4.43	239	81
Aaron Hernandez R 2021 · 4.65 FIP	24	SP	4.65	20.9%	16.4%	2.2%	.329	5.36	18.8%	5.8%	59	+0.71	4.65	194	81
Ike Buxton R 2024 · 4.45 FIP	24	SP	4.45	15.4%	13.1%	1.8%	.341	4.97	13.8%	-5.5%	46	+0.52	4.45	196	81
Elijah Dale R 2024 · 4.55 FIP	23	SP	4.55	16.7%	13.6%	2.1%	.239	6.48	18.4%	-1.6%	31	+1.93	4.55	140	81
Jesse Foppert R 2003 · 4.80 FIP	23	SP	4.80	20.2%	13.0%	3.2%	.274	7.32	11.3%	-13.2%	10	+2.52	4.80	121	80
Riley Thompson R 2019 · 4.69 FIP	23	SP	4.69	16.5%	9.4%	3.3%	.288	5.32	21.7%	7.0%	57	+0.63	4.48	340	80

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	2.5	71	19.2%	12.4%	1.33	5.31
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Scott Proctor ('11)	1.7	57	19.0%	10.9%	1.52	4.78
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Phil Hennigan ('69-'73, -0 WAR*)	1.4	70	20.9%*	10.4%*	1.50*	4.95*