Mauricio Veliz

P Quad Cities River Bandits

Age 25 RHP 6'2" / 220 lbs A+ peak 0.2 · 2028

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	21	AKC	22	20	98	4.76	4.20	15.3%	8.6%	—	K 11.4% · BB 10.1% · FIP 4.90
2024	22	MIX2 levels	18	17	55	8.02	4.63	16.5%	13.3%	—	K 11.9% · BB 15.9% · FIP 5.33
2025	23	MIX2 levels	31	5	66	6.17	4.55	16.9%	11.7%	—	K 13.4% · BB 12.5% · FIP 5.07
2027PROJ	25	MLBKC	12	12	70	5.95	5.95	12.3%	14.9%	-0.8
2028PROJ43% MLB	26	MLBKC	5	5	30	5.73	5.70	14.4%	14.3%	-0.3
2029PROJ63% MLB	27	MLBKC	7	7	43	5.63	5.63	15.1%	14.0%	-0.3

Next 3 projected WAR -1.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control40Command30

CompsOscar Verdugo (age 25) · Boone Whiting (age 25) · Tyler Brashears (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 146138vR 130

ERA5.95

FIP5.95

K%12.3%

BB%14.9%

K-BB%-2.6%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL4040

CMD3030

K†3030

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)
2021	19	ROK MLE	DSL Royals White	12	11	34	157	28	11	4	92%	2.8	12.1%	8.8%	3.4%	3.6%	6.35	5.14	—
2021	19	ROK RAW	DSL Royals White	12	11	34	157	28	11	4	92%	2.8	17.8%	7.0%	10.8%	2.5%	6.35	3.95	—
2022	20	ROK MLE	ACL Royals	13	5	46	184	37	12	4	38%	3.5	13.7%	8.2%	5.5%	2.9%	2.36	4.59	—
2022	20	ROK RAW	ACL Royals	13	5	46	184	37	12	4	38%	3.5	20.1%	6.5%	13.6%	2.2%	2.36	3.41	—
2023	21	A MLE	Columbia Fireflies	22	20	98	443	68	38	10	91%	4.5	11.4%	10.1%	1.2%	2.7%	4.76	4.90	—
2023	21	A RAW	Columbia Fireflies	22	20	98	443	68	38	10	91%	4.5	15.3%	8.6%	6.8%	2.3%	4.76	4.20	—
2024	22	MIX MLE	2 levels	18	17	55	279	46	37	5	94%	3.1	11.9%	15.9%	-4.0%	2.2%	8.02	5.33	—
2024	22	MIX MLE	2 levels	18	17	55	279	46	37	5	94%	3.1	11.9%	15.9%	-4.0%	2.2%	8.02	5.33	—
2024	22	MIX RAW	2 levels	18	17	55	279	46	37	5	94%	3.1	16.5%	13.3%	3.2%	1.8%	8.02	4.63	—
2025	23	MIX MLE	2 levels	31	5	66	307	52	36	7	16%	2.1	13.4%	12.5%	0.9%	2.8%	6.17	5.07	—
2025	23	MIX MLE	2 levels	31	5	66	307	52	36	7	16%	2.1	13.4%	12.5%	0.9%	2.8%	6.17	5.07	—
2025	23	MIX RAW	2 levels	31	5	66	307	52	36	7	16%	2.1	16.9%	11.7%	5.2%	2.3%	6.17	4.55	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	KC	12	12	70	296	36	44	9	100%	5.8	12.3%	14.9%	-2.6%	3.0%	5.95	5.95	-0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	KC	12	12	70	296	43	42	9	100%	5.8	14.4%	14.3%	0.1%	3.0%	5.73	5.70	-0.6
2029	27	MLB MLE	KC	12	12	69	291	44	41	9	100%	5.8	15.1%	14.0%	1.1%	3.0%	5.63	5.63	-0.6
2030	28	MLB MLE	KC	11	11	67	282	43	39	9	100%	6.1	15.4%	13.9%	1.5%	3.1%	5.62	5.65	-0.6
2031	29	MLB MLE	KC	11	11	64	270	41	38	9	100%	5.8	15.3%	14.0%	1.3%	3.3%	5.68	5.75	-0.6
2028	26	MLB CTX	KC	5	5	30	127	18	18	4	100%	6.0	14.4%	14.3%	0.1%	3.0%	5.73	5.70	-0.3
2029	27	MLB CTX	KC	7	7	43	182	27	25	5	100%	6.1	15.1%	14.0%	1.1%	3.0%	5.63	5.63	-0.3
2030	28	MLB CTX	KC	8	8	50	211	32	29	7	100%	6.2	15.4%	13.9%	1.5%	3.1%	5.62	5.65	-0.4
2031	29	MLB CTX	KC	9	9	52	220	34	31	7	100%	5.8	15.3%	14.0%	1.3%	3.3%	5.68	5.75	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		29	29	176	742	112	104	23	100%	6.1	15.1%	14.0%	1.1%	3.1%	5.66	5.30	-0.8
/ 200 IP	—	RAW		33	33	200	844	127	118	26	100%	6.0	15.1%	14.0%	1.1%	3.1%	5.66	5.30	-0.9
Career	—	MLE		96	58	299	1370	169	156	38	60%	3.1	12.3%	11.4%	0.9%	2.7%	5.48	5.01	-2.4
/ 200 IP	—	MLE		64	39	200	917	113	105	25	60%	3.1	12.3%	11.4%	0.9%	2.7%	5.48	5.01	-1.8

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
Mauricio Veliz (OGILVIE)	—	—	5.95	12.3%	14.9%	3.0%	—	5.66	14.9%	0.9%	206	-0.29	—	—	—
Oscar Verdugo R 2015 · 6.33 FIP	25	SP-	6.33	10.5%	13.9%	4.3%	.241	5.78	10.8%	-1.8%	74	-0.55	5.01	144	86
Boone Whiting R 2015 · 5.33 FIP	25	SP-	5.33	11.3%	13.9%	2.6%	.337	4.88	10.9%	4.8%	132	-0.45	4.88	227	82
Tyler Brashears R 2017 · 5.47 FIP	23	SW	5.47	12.1%	13.0%	3.2%	.314	—	—	—	—	—	3.58	156	81
Jorge Sosa R 2002 · 5.77 FIP	25	SW	5.77	11.1%	12.4%	3.7%	.228	4.55	15.7%	5.5%	362	-1.22	4.06	773	80
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	78
Jacob Cravey R 2024 · 5.15 FIP	22	SP-	5.15	14.4%	18.0%	1.8%	.333	5.84	14.7%	1.0%	124	+0.69	4.97	208	78
Ryan Jensen R 2001 · 5.03 FIP	25	SP-	5.03	13.5%	13.0%	2.6%	.285	4.82	13.4%	5.2%	185	-0.21	4.35	253	78
Justin Miller R 2002 · 5.01 FIP	24	SP-	5.01	14.5%	13.6%	2.6%	.280	5.41	12.5%	2.1%	82	+0.40	2.63	373	78
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	76
Octavio Acosta R 2016 · 5.42 FIP	25	SP-	5.42	13.8%	16.1%	2.6%	.328	4.03	16.2%	7.5%	245	-1.39	3.88	333	76
Jake Bray R 2018 · 5.37 FIP	25	SP-	5.37	15.4%	11.2%	3.9%	.294	5.65	20.5%	7.7%	61	+0.28	2.51	198	76
LJ Brewster R 2017 · 5.07 FIP	23	SW	5.07	9.4%	11.0%	2.5%	.266	—	—	—	—	—	4.41	143	76
Drew Conover R 2024 · 6.25 FIP	23	SW	6.25	15.6%	29.8%	1.3%	.272	5.19	12.6%	-3.4%	106	-1.06	4.49	145	75
Tyler Schlaffer R 2024 · 5.08 FIP	23	SP-	5.08	14.5%	13.3%	2.8%	.298	4.13	20.3%	7.7%	190	-0.95	3.79	399	75
Lauro Ramirez R 2015 · 5.80 FIP	25	SP-	5.80	9.5%	10.1%	4.1%	.382	4.99	7.2%	-3.4%	90	-0.81	4.99	140	74
Dane Myers R 2019 · 5.32 FIP	23	SW	5.32	12.2%	11.5%	3.3%	.287	—	—	—	—	—	4.26	125	74
Alfonso Sanchez R 2015 · 4.96 FIP	27	SP-	4.96	12.5%	9.1%	3.2%	.346	4.85	14.0%	5.3%	138	-0.11	4.51	224	74
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	74
Drew Gagnon R 2015 · 5.56 FIP	25	SP-	5.56	11.6%	12.6%	3.4%	.313	4.02	20.4%	12.2%	311	-1.54	3.71	534	73
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	73

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	1.7	68	14.5%	14.2%	1.18	5.72
Mike Mohler ('01)	2.1	60	15.0%	12.4%	0.97	4.99
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Matt Perisho ('05)	1.4	69	15.2%	12.2%	1.37	6.39
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*