Alex Mauricio

P Scranton/Wilkes-Barre RailRiders

Age 30 RHP 6'0" / 180 lbs AAA

Overview

AAAPROSPECT

MLB%10%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	25	A+NYY	26	38	4.78	3.37	27.5%	12.6%	—	K 21.2% · BB 14.5% · FIP 4.36
2023	26	AANYY	36	49	3.14	3.76	22.0%	9.3%	—	K 17.8% · BB 10.2% · FIP 4.45
2024	27	MIX2 levels	38	50	2.34	3.58	25.1%	12.3%	—	K 21.9% · BB 11.3% · FIP 3.79
2027PROJ	30	MLBNYY	27	28	4.45	4.45	22.7%	10.1%	0.0
2028PROJ37% MLB	31	MLBNYY	10	10	4.56	4.64	22.3%	10.3%	-0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsJoe Nelson (age 31) · Jim Miller (age 30) · Neil Wagner (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 101

ERA4.45

FIP4.45

K%22.7%

BB%10.1%

K-BB%12.6%

Proj IP28

Value2027 · WAR

Runs saved vs league avg · 28 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 + 2027 so far)
2017	20	ROK MLE	GCL Yankees West	9	0	17	72	17	4	1	0%	1.9	16.1%	6.9%	9.1%	1.9%	3.24	3.69	—
2017	20	ROK RAW	GCL Yankees West	9	0	17	72	17	4	1	0%	1.9	23.6%	5.6%	18.1%	1.4%	3.24	2.56	—
2018	21	A MLE	Charleston RiverDogs	7	7	37	160	28	12	0	100%	5.3	13.0%	8.8%	4.1%	0.0%	4.82	3.13	—
2018	21	A RAW	Charleston RiverDogs	7	7	37	160	28	12	0	100%	5.3	17.5%	7.5%	10.0%	0.0%	4.82	2.56	—
2019	22	A MLE	Charleston RiverDogs	1	0	1	11	2	2	2	0%	1.3	18.2%	18.2%	0.0%	18.2%	47.25	13.85	—
2019	22	A RAW	Charleston RiverDogs	1	0	1	11	2	2	2	0%	1.3	18.2%	18.2%	0.0%	18.2%	47.25	24.10	—
2022	25	A+ MLE	Hudson Valley Renegades	26	0	38	167	46	21	3	0%	1.4	21.2%	14.5%	6.7%	2.2%	4.78	4.36	—
2022	25	A+ RAW	Hudson Valley Renegades	26	0	38	167	46	21	3	0%	1.4	27.5%	12.6%	15.0%	1.8%	4.78	3.37	—
2023	26	AA MLE	Somerset Patriots	36	0	49	205	45	19	5	0%	1.4	17.8%	10.2%	7.6%	2.8%	3.14	4.45	—
2023	26	AA RAW	Somerset Patriots	36	0	49	205	45	19	5	0%	1.4	22.0%	9.3%	12.7%	2.4%	3.14	3.76	—
2024	27	MIX MLE	2 levels	38	0	50	211	53	26	4	0%	1.3	21.9%	11.3%	10.7%	2.0%	2.34	3.79	—
2024	27	MIX MLE	2 levels	38	0	50	211	53	26	4	0%	1.3	21.9%	11.3%	10.7%	2.0%	2.34	3.79	—
2024	27	MIX RAW	2 levels	38	0	50	211	53	26	4	0%	1.3	25.1%	12.3%	12.8%	1.9%	2.34	3.58	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	NYY	27	0	28	118	27	12	3	0%	1.0	22.7%	10.1%	12.6%	2.9%	4.45	4.45	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	NYY	25	0	26	111	25	12	4	0%	1.1	22.3%	10.3%	12.0%	3.2%	4.56	4.64	-0.0
2028	31	MLB CTX	NYY	10	0	10	42	9	4	1	0%	1.0	22.3%	10.3%	12.0%	3.2%	4.56	4.64	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	41	9	4	1	0%	1.1	22.3%	10.3%	12.0%	3.2%	4.56	4.26	+0.0
/ 200 IP	—	RAW		190	0	200	844	185	82	21	0%	1.1	22.3%	10.3%	12.0%	3.2%	4.56	4.26	+0.7
Career	—	MLE		117	7	192	826	152	90	17	6%	1.6	18.4%	10.9%	7.6%	2.1%	3.90	4.06	-0.0
/ 200 IP	—	MLE		122	7	200	862	159	94	18	6%	1.6	18.4%	10.9%	7.6%	2.1%	3.90	4.06	-0.2

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
Alex Mauricio (OGILVIE)	—	—	4.45	22.7%	10.1%	2.9%	—	4.64	22.3%	12.0%	26	+0.19	—	—	—
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	88
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	86
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	85
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	83
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	82
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	80
Brian Schlitter R 2016 · 3.28 FIP	30	SU	3.28	20.6%	10.8%	1.0%	.333	3.81	14.4%	6.6%	110	+0.53	3.27	300	78
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	78
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	77
Esteban Haro R 2016 · 4.55 FIP	30	SU	4.55	17.1%	10.2%	2.9%	.338	3.83	11.6%	6.3%	75	-0.72	3.76	164	77
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	76
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	76
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	76
Kiko Calero R 2005 · 3.51 FIP	30	SU	3.51	22.7%	7.0%	2.6%	.252	3.23	23.3%	13.9%	99	-0.28	2.27	298	75
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	75
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	75
Grant Sides R 2019 · 3.31 FIP	30	SU	3.31	21.7%	9.8%	1.5%	.267	—	—	—	—	—	3.31	159	75
Mike Broadway R 2017 · 4.73 FIP	30	SU	4.73	18.3%	10.2%	3.4%	.245	4.65	23.0%	12.4%	49	-0.08	1.74	195	74
Chris Smith R 2018 · 3.72 FIP	29	SU	3.72	24.1%	9.3%	2.7%	.319	—	—	—	—	—	2.17	199	74
Leonel Campos R 2017 · 3.70 FIP	30	SU	3.70	25.7%	11.8%	2.3%	.241	—	—	—	—	—	2.62	168	74

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	0.3	27	22.5%	10.2%	1.18	4.50
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Ian Krol ('21)	1.0	42	21.2%	8.8%	1.25	4.49
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*