Accimias Morales

P Ontario Tower Buzzers

Age 22 RHP 6'5" / 190 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKLAD	9	5	17	4.67	2.81	27.3%	10.4%	—	K 18.5% · BB 13.0% · FIP 4.24
2025	20	ROKLAD	12	1	25	4.32	3.70	19.1%	9.6%	—	K 13.0% · BB 12.0% · FIP 4.64
2026	21	MIX2 levels	41	0	50	6.26	4.47	28.8%	21.4%	—	K 21.4% · BB 25.0% · FIP 5.56
2027PROJ	22	MLBLAD	27	0	28	5.80	5.80	21.1%	20.0%	-0.4
2028PROJ49% MLB	23	MLBLAD	22	0	23	5.44	5.29	22.0%	16.7%	-0.2
2029PROJ70% MLB	24	MLBLAD	32	0	34	5.12	4.95	22.7%	14.6%	-0.2

Next 3 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsWill Varmette (age 21) · James Acuna (age 23) · Hudson Leach (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 127

ERA5.80

FIP5.80

K%21.1%

BB%20.0%

K-BB%1.0%

Proj IP28

Value2027 · WAR

Runs saved vs league avg · 28 IP

Grades · Contract

Scouting Grades

K†5055

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 + 2027 so far)
2022	17	ROK MLE	DSL LAD Bautista	12	12	37	155	24	3	0	100%	3.1	10.5%	2.4%	8.1%	0.0%	3.19	2.52	—
2022	17	ROK RAW	DSL LAD Bautista	12	12	37	155	24	3	0	100%	3.1	15.5%	1.9%	13.5%	0.0%	3.19	2.04	—
2024	19	ROK MLE	ACL Dodgers	9	5	17	77	21	8	1	56%	1.9	18.5%	13.0%	5.6%	1.9%	4.67	4.24	—
2024	19	ROK MLE	ACL Dodgers	9	5	17	77	21	8	1	56%	1.9	18.5%	13.0%	5.6%	1.9%	4.67	4.24	—
2024	19	ROK RAW	ACL Dodgers	9	5	17	77	21	8	1	56%	1.9	27.3%	10.4%	16.9%	1.3%	4.67	2.81	—
2025	20	ROK MLE	ACL Dodgers	12	1	25	115	22	11	2	8%	2.1	13.0%	12.0%	1.1%	2.1%	4.32	4.64	—
2025	20	ROK MLE	ACL Dodgers	12	1	25	115	22	11	2	8%	2.1	13.0%	12.0%	1.1%	2.1%	4.32	4.64	—
2025	20	ROK RAW	ACL Dodgers	12	1	25	115	22	11	2	8%	2.1	19.1%	9.6%	9.6%	1.7%	4.32	3.70	—
2026	21	MIX MLE	2 levels	41	0	50	257	74	55	4	0%	1.2	21.4%	25.0%	-3.6%	2.0%	6.26	5.56	—
2026	21	MIX MLE	2 levels	41	0	50	257	74	55	4	0%	1.2	21.4%	25.0%	-3.6%	2.0%	6.26	5.56	—
2026	21	MIX RAW	2 levels	41	0	50	257	74	55	4	0%	1.2	28.8%	21.4%	7.4%	1.6%	6.26	4.47	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	LAD	27	0	28	118	25	24	3	0%	1.0	21.1%	20.0%	1.0%	2.9%	5.80	5.80	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	LAD	45	0	47	198	44	33	6	0%	1.0	22.0%	16.7%	5.3%	2.8%	5.44	5.29	-0.4
2029	24	MLB MLE	LAD	46	0	48	204	46	30	6	0%	1.0	22.7%	14.6%	8.1%	2.8%	5.12	4.95	-0.2
2028	23	MLB CTX	LAD	22	0	23	97	21	16	3	0%	1.0	22.0%	16.7%	5.3%	2.8%	5.44	5.29	-0.2
2029	24	MLB CTX	LAD	32	0	34	144	33	21	4	0%	1.1	22.7%	14.6%	8.1%	2.8%	5.12	4.95	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		54	0	57	240	54	37	7	0%	1.1	22.4%	15.4%	6.9%	2.8%	5.25	4.71	-0.1
/ 200 IP	—	RAW		190	0	200	844	190	130	25	0%	1.1	22.4%	15.4%	6.9%	2.8%	5.25	4.71	-0.4
Career	—	MLE		74	18	129	604	101	92	9	24%	1.7	16.7%	15.2%	1.5%	1.5%	4.80	4.44	-0.6
/ 200 IP	—	MLE		114	28	200	934	156	142	14	24%	1.7	16.7%	15.2%	1.5%	1.5%	4.80	4.44	-1.3

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
Accimias Morales (OGILVIE)	—	—	5.80	21.1%	20.0%	2.9%	—	5.12	22.3%	6.7%	95	-0.68	—	—	—
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	88
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	88
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	87
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	86
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	84
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	84
Saul Teran R 2024 · 5.21 FIP	22	SU	5.21	22.4%	18.8%	2.9%	.279	4.40	20.1%	10.7%	84	-0.81	2.28	166	83
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	83
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	83
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	83
Will McAffer R 2019 · 4.68 FIP	22	SU	4.68	20.4%	18.1%	1.8%	.270	5.96	18.5%	-4.0%	77	+1.28	4.68	133	83
Carlos Contreras R 2014 · 4.77 FIP	23	SU	4.77	20.2%	18.1%	2.0%	.304	4.35	18.4%	5.0%	107	-0.42	4.29	127	83
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	83
Connor Walsh R 2015 · 4.76 FIP	22	SU	4.76	23.3%	20.7%	1.8%	.288	3.98	21.3%	6.8%	151	-0.78	3.36	266	83
Miguel Alfonseca R 2022 · 4.78 FIP	22	SU	4.78	20.1%	16.4%	2.4%	.354	5.73	11.6%	-3.8%	56	+0.95	4.19	123	83
Jonathan Teaney R 2018 · 4.77 FIP	22	SU	4.77	22.5%	19.8%	1.9%	.328	5.65	16.4%	0.7%	55	+0.88	4.77	108	83
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	82
Audry Lugo R 2021 · 4.82 FIP	22	SU	4.82	17.6%	15.8%	2.2%	.333	5.76	13.7%	-2.6%	39	+0.94	4.05	113	82
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	82
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	82

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.6	41	22.0%	16.6%	1.09	5.40
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*