Braulio Salas

P Jupiter Hammerheads

Age 22 RHP 6'2" / 175 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKMIA	10	4	32	3.06	1.77	26.7%	6.9%	—	K 18.2% · BB 8.6% · FIP 2.65
2025	20	MIX2 levels	17	0	39	3.72	3.77	17.0%	13.7%	—	K 12.0% · BB 16.6% · FIP 4.57
2026	21	MIX2 levels	41	0	67	4.70	3.65	21.3%	12.5%	—	K 15.9% · BB 14.7% · FIP 4.57
2027PROJ	22	MLBMIA	36	0	38	5.35	5.35	16.7%	14.2%	-0.3
2028PROJ49% MLB	23	MLBMIA	30	0	31	5.07	4.95	18.8%	12.5%	-0.1
2029PROJ70% MLB	24	MLBMIA	43	0	45	4.83	4.70	20.0%	11.3%	-0.1

Next 3 projected WAR -0.6Projected 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 99%

CompsJunior Rincon (age 23) · Fabian Anguamea (age 22) · Hayden Snelsire (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.35

FIP5.35

K%16.7%

BB%14.2%

K-BB%2.5%

Proj IP38

Value2027 · WAR

Runs saved vs league avg · 38 IP

Grades · Contract

Scouting Grades

K†4050

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 Marlins	3	0	5	31	4	2	1	0%	1.8	12.9%	6.5%	6.5%	3.2%	10.12	4.60	—
2022	17	ROK RAW	DSL Marlins	3	0	5	31	4	2	1	0%	1.8	12.9%	6.5%	6.5%	3.2%	10.12	5.16	—
2023	18	ROK MLE	DSL Marlins	9	8	30	137	25	16	1	89%	3.3	12.4%	14.6%	-2.2%	0.8%	5.46	4.34	—
2023	18	ROK RAW	DSL Marlins	9	8	30	137	25	16	1	89%	3.3	18.2%	11.7%	6.6%	0.7%	5.46	3.47	—
2024	19	ROK MLE	DSL Marlins	10	4	32	131	35	9	0	40%	3.2	18.2%	8.6%	9.6%	0.0%	3.06	2.65	—
2024	19	ROK MLE	DSL Marlins	10	4	32	131	35	9	0	40%	3.2	18.2%	8.6%	9.6%	0.0%	3.06	2.65	—
2024	19	ROK RAW	DSL Marlins	10	4	32	131	35	9	0	40%	3.2	26.7%	6.9%	19.8%	0.0%	3.06	1.77	—
2025	20	MIX MLE	2 levels	17	0	39	182	31	25	1	0%	2.3	12.0%	16.6%	-4.6%	0.7%	3.72	4.57	—
2025	20	MIX MLE	2 levels	17	0	39	182	31	25	1	0%	2.3	12.0%	16.6%	-4.6%	0.7%	3.72	4.57	—
2025	20	MIX RAW	2 levels	17	0	39	182	31	25	1	0%	2.3	17.0%	13.7%	3.3%	0.5%	3.72	3.77	—
2026	21	MIX MLE	2 levels	41	0	67	296	63	37	4	0%	1.6	15.9%	14.7%	1.2%	1.7%	4.70	4.57	—
2026	21	MIX MLE	2 levels	41	0	67	296	63	37	4	0%	1.6	15.9%	14.7%	1.2%	1.7%	4.70	4.57	—
2026	21	MIX RAW	2 levels	41	0	67	296	63	37	4	0%	1.6	21.3%	12.5%	8.8%	1.4%	4.70	3.65	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	MIA	36	0	38	160	27	23	4	0%	1.1	16.7%	14.2%	2.5%	2.7%	5.35	5.35	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	MIA	60	0	63	264	50	33	7	0%	1.0	18.8%	12.5%	6.3%	2.7%	5.07	4.95	-0.3
2029	24	MLB MLE	MIA	61	0	64	271	54	31	7	0%	1.1	20.0%	11.3%	8.7%	2.7%	4.83	4.70	-0.1
2030	25	MLB MLE	MIA	62	0	65	274	57	29	7	0%	1.0	20.7%	10.6%	10.1%	2.7%	4.66	4.55	0.0
2031	26	MLB MLE	MIA	62	0	65	274	58	29	7	0%	1.0	21.0%	10.5%	10.5%	2.7%	4.57	4.52	+0.0
2028	23	MLB CTX	MIA	30	0	31	131	25	16	4	0%	1.0	18.8%	12.5%	6.3%	2.7%	5.07	4.95	-0.1
2029	24	MLB CTX	MIA	43	0	45	190	38	22	5	0%	1.0	20.0%	11.3%	8.7%	2.7%	4.83	4.70	-0.1
2030	25	MLB CTX	MIA	50	0	53	224	46	24	6	0%	1.1	20.7%	10.6%	10.1%	2.7%	4.66	4.55	0.0
2031	26	MLB CTX	MIA	54	0	57	241	51	25	6	0%	1.1	21.0%	10.5%	10.5%	2.7%	4.57	4.52	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		176	0	185	782	159	86	21	0%	1.1	20.3%	11.1%	9.2%	2.7%	4.74	4.26	+0.6
/ 200 IP	—	RAW		190	0	200	844	172	93	23	0%	1.1	20.3%	11.1%	9.2%	2.7%	4.74	4.26	+0.7
Career	—	MLE		80	12	173	777	114	107	8	15%	2.2	14.6%	13.8%	0.9%	1.1%	4.47	4.21	-0.4
/ 200 IP	—	MLE		92	14	200	898	131	124	10	15%	2.2	14.6%	13.8%	0.9%	1.1%	4.47	4.21	-0.3

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
Braulio Salas (OGILVIE)	—	—	5.35	16.7%	14.2%	2.7%	—	4.73	19.8%	8.4%	192	-0.62	—	—	—
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	92
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	91
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	89
Cole Hillier R 2024 · 4.64 FIP	23	SU	4.64	16.9%	14.7%	2.0%	.297	4.45	18.1%	4.5%	111	-0.19	3.80	169	88
Tayler Scott R 2015 · 4.48 FIP	23	SU	4.48	16.7%	12.7%	2.1%	.309	4.09	17.9%	6.2%	162	-0.39	3.17	528	88
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	88
Ocean Gabonia R 2023 · 5.04 FIP	22	SU	5.04	15.4%	14.6%	2.5%	.283	3.29	19.1%	10.9%	91	-1.75	2.79	144	87
Miguel Guerrero R 2022 · 5.35 FIP	22	SU	5.35	17.0%	13.9%	3.5%	.324	4.56	18.1%	7.8%	57	-0.79	4.56	171	87
Jhonny Polanco R 2015 · 4.75 FIP	23	SW	4.75	18.9%	14.2%	2.6%	.283	4.06	21.3%	5.7%	48	-0.69	4.06	116	87
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	87
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	87
Mario Alcantara R 2015 · 4.83 FIP	22	SU	4.83	16.2%	13.8%	2.5%	.292	4.64	17.0%	0.9%	97	-0.19	4.36	171	87
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	86
Joel Cesar R 2018 · 4.30 FIP	22	SU	4.30	16.3%	12.0%	1.9%	.267	5.21	18.0%	9.9%	38	+0.91	4.30	127	86
Brett Lockwood R 2021 · 5.46 FIP	24	SU	5.46	16.2%	15.5%	3.2%	.312	4.58	11.0%	-6.3%	79	-0.88	4.24	132	86
Jacinto Arredondo R 2021 · 4.93 FIP	23	SU	4.93	14.4%	12.7%	2.6%	.310	4.89	15.7%	5.0%	50	-0.04	4.89	101	86
Justin Kelly R 2021 · 5.93 FIP	22	SU	5.93	15.5%	14.3%	4.2%	.259	4.93	15.4%	6.8%	149	-1.00	3.17	196	86
Randy Messenger R 2005 · 4.90 FIP	23	SU	4.90	16.3%	12.9%	2.8%	.281	3.93	13.8%	7.1%	137	-0.97	3.56	174	86
Jayson McKinley R 2017 · 4.39 FIP	23	SU	4.39	17.5%	11.4%	2.4%	.308	3.60	20.4%	11.3%	134	-0.79	2.35	173	86
Ben Hecht R 2018 · 4.39 FIP	23	SU	4.39	18.3%	14.4%	1.9%	.265	4.51	22.7%	9.8%	58	+0.12	4.39	155	86

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	1.5	59	19.7%	11.6%	1.04	4.85
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Jose Paniagua ('03)	1.8	60	17.3%	11.8%	1.01	4.49
Jesus Colome ('10)	2.1	53	17.3%	11.7%	1.03	4.69
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*