Joel Peguero

P San Francisco Giants

Age 30 RHP 5'10" / 195 lbs MLB ILInjured 60-Day (D60)

Overview

MLBRPD6040-MANROOKIE

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	AADET	43	52	3.14	2.93	25.5%	7.7%	—	K 20.6% · BB 8.5% · FIP 3.71
2025	28	MIX2 levels	52	65	4.18	3.75	22.7%	10.8%	0.6	K 20.4% · BB 10.0% · FIP 4.00
2026	29	MIX2 levels	23	21	4.79	3.63	18.0%	11.2%	0.2	K 18.0% · BB 11.2% · FIP 3.62
2027PROJ	30	MLBSF	37	39	4.34	4.50	22.0%	10.4%	0.0
2028PROJ95% MLB	31	MLBSF	54	57	4.56	4.72	21.4%	10.6%	-0.1
2029PROJ95% MLB	32	MLBSF	50	53	4.77	4.94	20.7%	10.9%	-0.2

Last 3 seasons WAR 0.8 · Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control40Command45FB velo74

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsJoe Nelson (age 31) · Wirfin Obispo (age 30) · Jim Miller (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 102

ERA4.34

FIP4.50

K%22.0%

BB%10.4%

K-BB%11.6%

Proj IP39

Value2027 · WAR

Runs saved vs league avg · 39 IP

Grades · Arsenal · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4545

K†5050

SL+3.3 (33%)

FB+0.9 (67%)

SI (33%)

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)
2016	19	ROK MLE	DSL Rays 2	16	2	42	182	26	19	1	12%	2.6	9.7%	13.0%	-3.3%	0.8%	3.43	4.35	—
2016	19	ROK RAW	DSL Rays 2	16	2	42	182	26	19	1	12%	2.6	14.3%	10.4%	3.8%	0.5%	3.43	3.53	—
2017	20	ROK MLE	Princeton Rays	13	10	44	209	31	11	5	77%	3.4	10.1%	6.6%	3.5%	3.3%	8.12	4.92	—
2017	20	ROK RAW	Princeton Rays	13	10	44	209	31	11	5	77%	3.4	14.8%	5.3%	9.6%	2.4%	8.12	3.91	—
2018	21	ROK MLE	Princeton Rays	14	6	33	161	38	18	4	43%	2.3	16.0%	14.0%	2.1%	3.5%	7.44	5.42	—
2018	21	ROK RAW	Princeton Rays	14	6	33	161	38	18	4	43%	2.3	23.6%	11.2%	12.4%	2.5%	7.44	4.02	—
2019	22	A MLE	Bowling Green Hot Rods	31	0	47	194	44	10	1	0%	1.5	16.8%	6.1%	10.7%	0.5%	2.85	2.74	—
2019	22	A RAW	Bowling Green Hot Rods	31	0	47	194	44	10	1	0%	1.5	22.7%	5.2%	17.5%	0.5%	2.85	2.15	—
2021	24	MIX MLE	2 levels	39	3	56	242	52	21	2	8%	1.4	16.6%	9.4%	7.2%	1.1%	4.31	3.49	—
2021	24	MIX RAW	2 levels	39	3	56	242	52	21	2	8%	1.4	21.5%	8.7%	12.8%	0.8%	4.31	2.83	—
2022	25	AAA MLE	Albuquerque Isotopes	50	4	57	261	52	33	7	8%	1.1	17.5%	13.3%	4.3%	2.8%	4.76	4.83	—
2022	25	AAA RAW	Albuquerque Isotopes	50	4	57	261	52	33	7	8%	1.1	19.9%	12.6%	7.3%	2.7%	4.76	4.62	—
2023	26	MIX MLE	2 levels	44	0	51	232	40	27	4	0%	1.2	14.2%	11.2%	3.0%	1.8%	4.62	4.32	—
2023	26	MIX RAW	2 levels	44	0	51	232	40	27	4	0%	1.2	17.2%	11.6%	5.6%	1.7%	4.62	4.15	—
2024	27	AA MLE	Erie SeaWolves	43	0	52	220	56	17	4	0%	1.2	20.6%	8.5%	12.1%	2.3%	3.14	3.71	—
2024	27	AA MLE	Erie SeaWolves	43	0	52	220	56	17	4	0%	1.2	20.6%	8.5%	12.1%	2.3%	3.14	3.71	—
2024	27	AA RAW	Erie SeaWolves	43	0	52	220	56	17	4	0%	1.2	25.5%	7.7%	17.7%	1.8%	3.14	2.93	—
2025	28	MIX MLE	2 levels	52	0	65	277	63	30	6	0%	1.2	20.4%	10.0%	10.4%	2.5%	4.18	4.00	+0.4
2025	28	MIX MLE	2 levels	52	0	65	277	63	30	6	0%	1.2	20.4%	10.0%	10.4%	2.5%	4.18	4.00	+0.4
2025	28	MIX RAW	2 levels	52	0	65	277	63	30	6	0%	1.2	22.7%	10.8%	11.9%	2.2%	4.18	3.75	+0.6
2026	29	MIX MLE	2 levels	23	0	21	89	16	10	1	0%	0.9	18.0%	11.2%	6.7%	1.1%	4.79	3.62	+0.2
2026	29	MIX MLE	2 levels	23	0	21	89	16	10	1	0%	0.9	18.0%	11.2%	6.7%	1.1%	4.79	3.62	+0.2
2026	29	MIX RAW	2 levels	23	0	21	89	16	10	1	0%	0.9	18.0%	11.2%	6.7%	1.1%	4.79	3.63	+0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			28	0	34	134	22	11	2	0%	1.2	16.4%	8.2%	8.2%	1.5%	2.41	3.55	+0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	SF	37	0	39	165	36	17	5	0%	1.1	22.0%	10.4%	11.6%	2.9%	4.34	4.50	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	SF	57	0	60	252	54	27	8	0%	1.0	21.4%	10.6%	10.8%	3.1%	4.56	4.72	-0.1
2029	32	MLB MLE	SF	53	0	55	233	48	25	8	0%	1.0	20.7%	10.9%	9.8%	3.3%	4.77	4.94	-0.2
2028	31	MLB CTX	SF	54	0	57	241	51	26	7	0%	1.1	21.4%	10.6%	10.8%	3.1%	4.56	4.72	-0.1
2029	32	MLB CTX	SF	50	0	53	224	46	24	7	0%	1.1	20.7%	10.9%	9.8%	3.3%	4.77	4.94	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		132	0	143	596	119	61	17	0%	1.1	20.0%	10.2%	9.8%	2.8%	4.13	4.25	+0.5
/ 200 IP	—	RAW		185	0	200	833	166	85	24	0%	1.1	20.0%	10.2%	9.8%	2.8%	4.13	4.25	+0.7
Career	—	MLE		325	25	467	2067	334	212	42	8%	1.4	16.2%	10.2%	5.9%	2.0%	4.63	4.15	+0.0
/ 200 IP	—	MLE		139	11	200	885	143	91	18	8%	1.4	16.2%	10.2%	5.9%	2.0%	4.63	4.15	+0.0

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
Joel Peguero (OGILVIE)	—	—	4.50	22.0%	10.4%	2.9%	—	4.83	21.1%	10.3%	115	+0.33	—	—	—
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	68
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	67
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	67
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	67
Arquimedes Caminero R 2016 · 4.45 FIP	29	SU	4.45	17.9%	11.4%	2.6%	.314	4.62	18.6%	7.5%	38	+0.17	3.54	186	67
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	66
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	66
Austin Adams R 2016 · 3.40 FIP	29	SU	3.40	21.1%	6.1%	2.4%	.376	5.80	20.8%	10.2%	60	+2.40	3.40	162	65
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	64
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	64
Tommy Nance R 2021 · 3.96 FIP	30	SU	3.96	24.9%	8.8%	3.4%	.228	3.41	24.1%	16.8%	99	-0.55	2.08	360	64
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	63
Gerardo Reyes R 2023 · 4.64 FIP	30	SU	4.64	25.8%	11.6%	4.1%	.320	5.69	27.4%	14.0%	44	+1.05	3.15	371	63
Derek Law R 2021 · 3.63 FIP	30	SU	3.63	21.0%	11.2%	1.6%	.319	3.43	20.2%	12.5%	212	-0.20	2.49	520	62
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	62
Yennier Cano R 2024 · 3.40 FIP	30	SU	3.40	26.1%	9.2%	2.4%	.310	3.30	21.6%	13.7%	108	-0.10	2.43	381	62
Bo Schultz R 2016 · 3.90 FIP	30	SU	3.90	14.4%	5.2%	2.5%	.276	2.73	16.4%	8.4%	27	-1.17	2.73	141	62
Aaron Barrett R 2019 · 3.81 FIP	31	SU	3.81	23.0%	8.1%	3.0%	.246	4.56	19.9%	6.4%	38	+0.75	1.86	160	61
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	61
Jeremy Fikac R 2004 · 4.91 FIP	29	SU	4.91	19.6%	8.0%	4.5%	.276	—	—	—	—	—	3.10	136	61

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	48	20.5%	10.4%	1.10	4.19
Manny Acosta ('12)	1.2	41	20.5%	10.9%	1.09	3.99
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
John Johnstone ('00)	1.4	56	19.4%	9.5%	1.23	4.01
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Gary Wayne ('89-'94, 2 WAR*)	1.2	62	19.9%*	9.4%*	1.05*	3.88*