Merrick Baldo

P Wilmington Blue Rocks

Age 27 RHP 6'1" / 200 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	25	AWSH	46	54	3.33	3.53	24.8%	10.4%	—	K 18.3% · BB 12.3% · FIP 4.60
2026	26	A+WSH	32	52	4.13	3.52	21.9%	6.2%	—	K 16.8% · BB 7.2% · FIP 4.43
2027PROJ	27	MLBWSH	67	70	5.08	5.08	16.8%	10.7%	-0.4
2028PROJ37% MLB	28	MLBWSH	24	25	5.06	5.09	17.3%	10.7%	-0.2
2029PROJ55% MLB	29	MLBWSH	34	36	5.10	5.16	17.5%	10.8%	-0.2

Next 3 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control40Command40

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsFrancisco Rodriguez (age 27) · Ricky Stone (age 27) · Tyler Walker (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 113

ERA5.08

FIP5.08

K%16.8%

BB%10.7%

K-BB%6.1%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL4040

CMD4040

K†4040

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)
2023	23	MIX MLE	2 levels	10	0	18	72	14	4	0	0%	1.8	15.5%	7.0%	8.4%	0.0%	1.50	2.69	—
2023	23	MIX RAW	2 levels	10	0	18	72	14	4	0	0%	1.8	19.4%	5.6%	13.9%	0.0%	1.50	2.21	—
2024	24	A MLE	Fredericksburg Nationals	37	0	45	202	56	22	5	0%	1.2	20.5%	12.9%	7.7%	3.0%	4.20	4.63	—
2024	24	A MLE	Fredericksburg Nationals	37	0	45	202	56	22	5	0%	1.2	20.5%	12.9%	7.7%	3.0%	4.20	4.63	—
2024	24	A RAW	Fredericksburg Nationals	37	0	45	202	56	22	5	0%	1.2	27.7%	10.9%	16.8%	2.5%	4.20	3.52	—
2025	25	A MLE	Fredericksburg Nationals	46	0	54	230	57	24	5	0%	1.2	18.3%	12.3%	6.0%	2.7%	3.33	4.60	—
2025	25	A MLE	Fredericksburg Nationals	46	0	54	230	57	24	5	0%	1.2	18.3%	12.3%	6.0%	2.7%	3.33	4.60	—
2025	25	A RAW	Fredericksburg Nationals	46	0	54	230	57	24	5	0%	1.2	24.8%	10.4%	14.3%	2.2%	3.33	3.53	—
2026	26	A+ MLE	Wilmington Blue Rocks	32	0	52	224	49	14	6	0%	1.6	16.8%	7.2%	9.7%	3.3%	4.13	4.43	—
2026	26	A+ MLE	Wilmington Blue Rocks	32	0	52	224	49	14	6	0%	1.6	16.8%	7.2%	9.7%	3.3%	4.13	4.43	—
2026	26	A+ RAW	Wilmington Blue Rocks	32	0	52	224	49	14	6	0%	1.6	21.9%	6.2%	15.6%	2.7%	4.13	3.52	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	WSH	67	0	70	296	50	31	9	0%	1.0	16.8%	10.7%	6.1%	3.0%	5.08	5.08	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	WSH	65	0	68	287	50	31	9	0%	1.0	17.3%	10.7%	6.6%	3.1%	5.06	5.09	-0.4
2029	29	MLB MLE	WSH	62	0	65	274	48	29	9	0%	1.0	17.5%	10.8%	6.7%	3.3%	5.10	5.16	-0.4
2028	28	MLB CTX	WSH	24	0	25	106	18	11	3	0%	1.0	17.3%	10.7%	6.6%	3.1%	5.06	5.09	-0.2
2029	29	MLB CTX	WSH	34	0	36	152	27	16	5	0%	1.1	17.5%	10.8%	6.7%	3.3%	5.10	5.16	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		58	0	61	256	45	27	8	0%	1.0	17.4%	10.7%	6.7%	3.2%	5.08	4.75	-0.1
/ 200 IP	—	RAW		190	0	200	844	149	89	26	0%	1.0	17.4%	10.7%	6.7%	3.2%	5.08	4.75	-0.5
Career	—	MLE		125	0	169	728	132	75	20	0%	1.4	18.2%	10.4%	7.8%	2.7%	3.61	4.37	-0.9
/ 200 IP	—	MLE		148	0	200	860	156	89	23	0%	1.4	18.2%	10.4%	7.8%	2.7%	3.61	4.37	-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
Merrick Baldo (OGILVIE)	—	—	5.08	16.8%	10.7%	3.0%	—	5.12	17.4%	6.7%	133	+0.04	—	—	—
Francisco Rodriguez R 2010 · 4.33 FIP	27	SU	4.33	17.2%	11.0%	2.4%	.283	5.00	11.9%	3.4%	14	+0.67	3.16	334	90
Ricky Stone R 2002 · 4.16 FIP	27	SU	4.16	18.8%	9.3%	2.7%	.297	4.96	13.7%	7.4%	165	+0.80	4.16	243	89
Tyler Walker R 2004 · 4.28 FIP	28	SU	4.28	17.5%	8.4%	2.9%	.311	3.77	18.5%	10.4%	101	-0.51	2.38	289	89
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	88
J.J. Putz R 2004 · 4.57 FIP	27	SU	4.57	17.1%	7.3%	3.6%	.283	2.58	28.5%	23.0%	210	-1.99	1.43	563	85
Greg Burke R 2009 · 3.93 FIP	26	SU	3.93	16.2%	8.8%	2.0%	.295	—	—	—	—	—	3.61	139	85
Tyler Mizenko R 2016 · 5.15 FIP	26	SU	5.15	13.3%	10.2%	3.5%	.303	—	—	—	—	—	3.66	104	85
Justin Lehr R 2005 · 4.58 FIP	27	SU	4.58	14.9%	10.4%	2.6%	.252	4.23	16.0%	8.0%	16	-0.35	4.23	148	85
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	85
Armando Rivero R 2015 · 4.29 FIP	27	SU	4.29	18.7%	13.5%	1.9%	.256	2.70	32.9%	19.8%	68	-1.59	2.70	125	85
Ryan Doolittle R 2015 · 4.03 FIP	27	SU	4.03	15.1%	6.7%	2.5%	.315	4.38	13.9%	6.8%	44	+0.35	4.03	101	84
Julian Arballo R 2015 · 5.13 FIP	27	SU	5.13	15.1%	13.8%	2.8%	.335	4.46	12.6%	0.6%	116	-0.67	4.45	214	84
Scott Cassidy R 2002 · 5.30 FIP	26	SU	5.30	17.0%	10.3%	4.3%	.207	4.79	20.0%	15.0%	13	-0.51	4.42	122	83
Jose Casilla R 2016 · 4.65 FIP	27	SU	4.65	13.0%	8.0%	3.0%	.314	—	—	—	—	—	3.06	104	83
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	83
Scot Shields R 2002 · 4.27 FIP	27	SU	4.27	16.0%	10.6%	2.1%	.201	3.01	22.1%	15.0%	345	-1.26	2.77	686	83
Woo-Suk Go R 2024 · 4.80 FIP	25	SU	4.80	17.3%	8.8%	3.7%	.359	4.16	21.5%	10.2%	64	-0.64	3.57	116	83
Aaron Kurcz R 2017 · 4.84 FIP	26	SU	4.84	15.4%	8.4%	3.6%	.301	3.97	26.2%	21.8%	50	-0.87	3.31	213	83
Brian Bass R 2009 · 4.70 FIP	27	SU	4.70	13.5%	9.8%	2.8%	.321	—	—	—	—	—	4.70	176	83
Mike Adams R 2022 · 5.36 FIP	27	SU	5.36	17.1%	11.2%	4.2%	.326	—	—	—	—	—	3.65	109	83

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	1.0	68	17.2%	10.7%	1.22	5.08
Mike Matthews ('05)	1.2	61	16.3%	11.3%	1.07	4.54
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*