Luis Acosta (P, DSL Tigers 2) prospect projection, MLE, ETA

Luis Acosta P DSL Tigers 2

Age 24 RHP 5'11" / 185 lbs ROK peak 0.1 · 2027

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 14 proj IP

wRC+ AGAINSTvL 115107vR 99

ERA4.30

FIP4.30

K%23.0%

BB%8.9%

K-BB%14.2%

ROS IP15

Value2026 · WAR

Runs saved vs league avg · 14 IP

Grades · Contract

Scouting Grades

K†5555

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 industry-standard fWAR.

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 + 2026 so far)
2021	19	ROK MLE	DSL Rays 1	14	0	27	115	21	6	2	0%	1.9	12.4%	6.5%	5.9%	2.7%	5.74	4.35	—
2021	19	ROK RAW	DSL Rays 1	14	0	27	115	21	6	2	0%	1.9	18.3%	5.2%	13.0%	1.7%	5.74	3.18	—
2023	21	ROK MLE	DSL Tigers 2	19	0	25	109	29	7	2	0%	1.3	18.1%	8.0%	10.1%	2.5%	3.96	3.99	—
2023	21	ROK MLE	DSL Tigers 2	19	0	25	109	29	7	2	0%	1.3	18.1%	8.0%	10.1%	2.5%	3.96	3.99	—
2023	21	ROK RAW	DSL Tigers 2	19	0	25	109	29	7	2	0%	1.3	26.6%	6.4%	20.2%	1.8%	3.96	2.66	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	24	MLB	TB	—	—	0	—	—	—	—	—	—	23.0%	8.9%	14.2%	3.0%	4.30	4.30	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	25	MLB MLE	TB	19	0	20	84	20	7	3	0%	1.1	23.4%	8.7%	14.7%	3.0%	4.27	4.24	+0.1
2027	25	MLB CTX	TB	9	0	9	38	9	3	1	0%	1.0	23.4%	8.7%	14.7%	3.0%	4.27	4.24	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	3	1	0%	1.1	23.5%	8.7%	14.7%	3.0%	4.27	3.86	+0.1
/ 200 IP	—	RAW		190	0	200	844	187	70	23	0%	1.1	23.5%	8.7%	14.7%	3.0%	4.27	3.86	+1.6
Career	—	MLE		33	0	52	224	34	16	6	0%	1.6	15.2%	7.3%	7.9%	2.6%	4.88	4.17	+0.1
/ 200 IP	—	MLE		128	0	200	867	132	63	23	0%	1.6	15.2%	7.3%	7.9%	2.6%	4.88	4.17	+0.7

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
Luis Acosta (OGILVIE)	—	—	4.30	23.0%	8.9%	3.0%	—	4.24	23.4%	14.7%	20	-0.06	—	—	—
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	89
Nolan Clenney R 2021 · 3.73 FIP	25	SU	3.73	25.5%	8.4%	3.1%	.340	4.35	22.4%	13.7%	185	+0.62	3.73	223	89
Stolmy Pimentel R 2014 · 4.13 FIP	24	SU	4.13	25.7%	9.5%	3.6%	.319	4.17	14.8%	4.3%	143	+0.04	3.87	176	88
Grant Balfour R 2003 · 4.13 FIP	25	SU	4.13	26.1%	10.4%	3.5%	.275	3.79	24.4%	12.8%	39	-0.34	2.04	533	88
Vince Vannelle R 2022 · 3.71 FIP	24	SU	3.71	19.9%	8.6%	2.2%	.282	5.30	15.3%	4.5%	76	+1.59	3.71	105	87
Mitchell Stumpo R 2021 · 3.97 FIP	25	SU	3.97	25.6%	8.0%	3.7%	.299	5.27	22.4%	6.8%	121	+1.30	3.97	158	86
Fineas Del Bonta-Smith R 2021 · 3.52 FIP	24	SU	3.52	23.4%	8.2%	2.5%	.262	6.05	20.5%	11.4%	128	+2.53	3.52	207	86
Chris Jefferson R 2022 · 3.53 FIP	25	SU	3.53	22.4%	10.2%	1.9%	.330	4.99	16.5%	3.9%	101	+1.46	3.53	140	86
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.65	17.5%	6.2%	170	+0.77	3.88	203	86
Trey McLoughlin R 2023 · 3.79 FIP	24	SU	3.79	23.7%	8.4%	3.0%	.295	4.55	20.8%	8.6%	123	+0.76	3.77	245	85
Kyle Schepel R 2015 · 4.63 FIP	24	SU	4.63	23.1%	10.7%	3.9%	.233	3.64	22.1%	10.4%	120	-0.99	3.54	156	85
Kyle Martin R 2015 · 3.61 FIP	24	SU	3.61	21.2%	9.6%	2.0%	.345	3.51	22.4%	12.5%	172	-0.10	3.01	214	85
Austin Smith R 2022 · 3.88 FIP	23	SU	3.88	22.7%	10.0%	2.6%	.274	5.15	16.3%	0.7%	52	+1.27	3.88	148	85
Danny Hrbek R 2019 · 3.98 FIP	24	SU	3.98	21.3%	7.5%	3.1%	.312	—	—	—	—	—	3.98	100	85
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	85
Jonathan Brand R 2023 · 3.95 FIP	23	SU	3.95	22.7%	10.8%	2.5%	.236	4.79	19.7%	9.4%	160	+0.84	3.34	198	85
Jon Leicester R 2004 · 4.69 FIP	25	SU	4.69	20.0%	8.6%	4.0%	.280	4.44	11.0%	2.0%	32	-0.25	3.76	113	85
Breckin Williams R 2018 · 3.65 FIP	24	SU	3.65	22.6%	7.3%	2.8%	.282	2.78	23.4%	15.8%	48	-0.87	2.76	107	84
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	84
Josh Advocate R 2018 · 3.78 FIP	24	SU	3.78	18.8%	7.3%	2.4%	.291	3.71	20.4%	10.1%	75	-0.07	3.71	118	84