Yaramil Hiraldo

P Norfolk Tides

Age 31 RHP 6'1" / 220 lbs AAA peak 0.4 · 2027

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	25	A+ARI	19	0	24	4.12	3.85	24.0%	13.5%	—	K 18.5% · BB 15.5% · FIP 4.86
2025	29	MIX4 levels	48	1	65	3.86	3.10	31.5%	8.1%	1.1	K 28.8% · BB 8.4% · FIP 3.69
2026	30	MIX3 levels	26	0	28	3.81	4.76	27.5%	13.3%	-0.1	K 25.7% · BB 6.7% · FIP 3.59
2027PROJ	31	MLBBAL	11	0	12	3.97	3.96	27.3%	8.2%	0.1
2028PROJ80% MLB	32	MLBBAL	15	0	16	4.15	4.25	26.1%	8.8%	0.1

Last 3 seasons WAR 1.1 · Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

xwOBA vs90

K%65

FB Velo55

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsAquilino López (age 30) · Chris Hatcher (age 31) · Joe Nelson (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108100vR 92

ERA3.97

FIP3.96

K%27.3%

BB%8.2%

K-BB%19.0%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Statcast · Contract

Scouting Grades

K†6565

Statcast Percentiles

FB Velo

p5594.9

Whiff%

p9037.1%

p6525.0%

xwOBA vs

p900.253

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 the standard WAR scale.

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)
2018	22	ROK MLE	DSL D-backs 1	16	3	40	154	58	14	1	19%	2.5	25.6%	11.4%	14.2%	0.9%	1.57	2.88	—
2018	22	ROK RAW	DSL D-backs 1	16	3	40	154	58	14	1	19%	2.5	37.7%	9.1%	28.6%	0.6%	1.57	1.58	—
2019	23	A MLE	Kane County Cougars	7	0	17	66	11	4	0	0%	2.4	12.3%	7.2%	5.2%	0.0%	1.08	2.96	—
2019	23	A RAW	Kane County Cougars	7	0	17	66	11	4	0	0%	2.4	16.7%	6.1%	10.6%	0.0%	1.08	2.50	—
2021	25	A+ MLE	Hillsboro Hops	19	0	24	104	25	14	2	0%	1.3	18.5%	15.5%	3.0%	2.5%	4.12	4.86	—
2021	25	A+ RAW	Hillsboro Hops	19	0	24	104	25	14	2	0%	1.3	24.0%	13.5%	10.6%	1.9%	4.12	3.85	—
2025	29	MIX MLE	4 levels	48	1	65	270	85	22	8	2%	1.4	28.8%	8.4%	20.5%	3.6%	3.86	3.69	+0.7
2025	29	MIX MLE	4 levels	48	1	65	270	85	22	8	2%	1.4	28.8%	8.4%	20.5%	3.6%	3.86	3.69	+0.7
2025	29	MIX RAW	4 levels	48	1	65	270	85	22	8	2%	1.4	31.5%	8.1%	23.3%	3.0%	3.86	3.10	+1.1
2026	30	MIX MLE	3 levels	26	0	28	120	33	16	5	0%	1.1	25.7%	6.7%	19.0%	3.3%	3.81	3.59	+0.3
2026	30	MIX MLE	3 levels	26	0	28	120	33	16	5	0%	1.1	25.7%	6.7%	19.0%	3.3%	3.81	3.59	+0.3
2026	30	MIX RAW	3 levels	26	0	28	120	33	16	5	0%	1.1	27.5%	13.3%	14.2%	4.2%	3.81	4.76	-0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			26	0	29	132	34	19	6	0%	1.1	25.8%	14.4%	11.4%	4.5%	5.90	5.41	-0.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	BAL	11	0	12	51	14	4	2	0%	1.1	27.3%	8.2%	19.0%	3.2%	3.97	3.96	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	BAL	19	0	20	84	22	7	3	0%	1.1	26.1%	8.8%	17.3%	3.4%	4.15	4.25	+0.1
2028	32	MLB CTX	BAL	15	0	16	68	18	6	2	0%	1.1	26.1%	8.8%	17.3%	3.4%	4.15	4.25	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		41	0	45	199	52	25	8	0%	1.1	25.9%	12.5%	13.4%	4.2%	5.28	4.78	-0.1
/ 200 IP	—	RAW		183	0	200	887	231	111	36	0%	1.1	25.9%	12.5%	13.4%	4.2%	5.28	4.78	-0.5
Career	—	MLE		116	4	174	714	175	69	18	3%	1.5	24.6%	9.7%	14.9%	2.5%	3.10	3.60	-0.2
/ 200 IP	—	MLE		133	5	200	819	201	79	20	3%	1.5	24.6%	9.7%	14.9%	2.5%	3.10	3.60	-0.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAANorfolk Tides · 18 IPFIP 3.16 → 3.59 (+0.42)K% 29.9% → 25.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.85%	—	×0.860	25.67%
BB% (unintentional) /BF	7.46%	—	×0.900	6.72%
HR / BF /BF	2.99%	÷1.000	×1.100	3.28%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.16 → 3.59, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAANorfolk Tides · 37 IPFIP 2.49 → 3.05 (+0.56)K% 35.9% → 30.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.95%	—	×0.860	30.92%
BB% (unintentional) /BF	7.84%	—	×0.900	7.06%
HR / BF /BF	2.61%	÷0.945	×1.100	3.04%

Result: FIP 2.49 → 3.05, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 A+Aberdeen IronBirds · 6 IPFIP 1.37 → 1.99 (+0.62)K% 27.3% → 21.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.770	21.00%
BB% (unintentional) /BF	4.55%	—	×1.150	5.23%
HR / BF /BF	0.00%	÷1.229	×1.250	0.00%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 146).

Result: FIP 1.37 → 1.99, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 A+Hillsboro Hops · 24 IPFIP 3.83 → 4.86 (+1.02)K% 24.0% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.04%	—	×0.770	18.51%
BB% (unintentional) /BF	13.46%	—	×1.150	15.48%
HR / BF /BF	1.92%	÷0.972	×1.250	2.47%

Result: FIP 3.83 → 4.86, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 AKane County Cougars · 17 IPFIP 2.46 → 2.96 (+0.50)K% 16.7% → 12.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.67%	—	×0.740	12.33%
BB% (unintentional) /BF	6.06%	—	×1.180	7.15%
HR / BF /BF	0.00%	÷0.875	×1.300	0.00%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 75).

Result: FIP 2.46 → 2.96, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2018 ROKDSL D-backs 1 · 40 IPFIP 1.43 → 2.88 (+1.45)K% 37.7% → 25.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.66%	—	×0.680	25.61%
BB% (unintentional) /BF	9.09%	—	×1.250	11.36%
HR / BF /BF	0.65%	÷1.000	×1.400	0.91%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 1.43 → 2.88, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Yaramil Hiraldo (OGILVIE)	—	—	3.96	27.3%	8.2%	3.2%	—	4.25	26.1%	17.3%	20	+0.29	—	—	—
Aquilino López R 2005 · 3.10 FIP	30	SU	3.10	30.6%	8.3%	2.8%	.333	3.89	16.2%	10.5%	96	+0.79	3.10	207	83
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.51	246	77
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	76
Kazuhiro Sasaki R 2000 · 3.93 FIP	32	SU	3.93	29.4%	9.8%	3.8%	.212	2.88	24.9%	19.3%	161	-1.05	2.76	223	76
Ryan Brasier R 2019 · 4.12 FIP	31	SU	4.12	25.3%	8.3%	3.8%	.278	3.56	24.3%	18.2%	99	-0.56	2.31	426	76
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	75
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	74
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	74
Kiko Calero R 2006 · 2.77 FIP	31	SU	2.77	27.8%	8.7%	1.7%	.309	2.92	24.0%	13.4%	101	+0.15	2.27	298	74
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	73
Spencer Patton R 2021 · 3.04 FIP	33	SU	3.04	27.9%	8.7%	2.2%	.305	4.97	21.2%	10.4%	88	+1.93	2.79	239	73
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	73
Justin Miller R 2018 · 4.24 FIP	31	SU	4.24	27.9%	7.4%	4.7%	.248	4.82	24.8%	18.8%	66	+0.58	2.63	292	72
C.C. Lee R 2018 · 3.03 FIP	31	SU	3.03	34.7%	9.1%	3.1%	.275	—	—	—	—	—	2.59	149	72
Matt Bush R 2017 · 3.60 FIP	31	SU	3.60	24.2%	7.9%	2.8%	.321	4.72	17.6%	4.6%	23	+1.12	2.87	249	72
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	71
Fernando Rodriguez Jr. R 2015 · 3.34 FIP	31	SU	3.34	26.5%	9.6%	2.3%	.241	3.89	23.3%	13.2%	105	+0.55	3.34	335	71
Tommy Nance R 2022 · 3.28 FIP	31	SU	3.28	29.1%	9.2%	2.7%	.345	2.75	23.4%	18.0%	118	-0.53	2.08	360	71
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	2.60	292	71
Josh Fields R 2017 · 3.98 FIP	31	SU	3.98	26.9%	6.3%	4.3%	.216	5.01	20.5%	12.9%	66	+1.03	1.80	330	70

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	33	26.2%	11.2%	1.49	4.87
Michael Feliz ('22)	1.2	50	29.9%	9.9%	1.55	5.29
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
José Ruiz ('25)	1.4	57	22.3%	10.4%	1.44	4.62
J.J. Hoover ('18)	1.4	57	23.8%	11.4%	1.42	4.17
Jeff Jones ('80-'84, -2 WAR*)	1.0	41	22.0%*	12.4%*	1.48*	4.53*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*