Joel Peguero — OGILVIE

Joel Peguero P San Francisco Giants

Age 29 RHP 5'10" / 195 lbs MLB ILInjured 60-Day (D60)

2026 ROS PROJECTION21 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 119111vR 103

ERA4.35

FIP4.52

K%21.1%

BB%10.4%

K-BB%10.6%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 22 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 + 2026 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	14.1%	11.2%	2.8%	1.8%	4.62	4.33	—
2023	26	MIX MLE	2 levels	44	0	51	232	40	27	4	0%	1.2	14.1%	11.2%	2.8%	1.8%	4.62	4.33	—
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	19.9%	10.0%	9.9%	2.5%	4.18	4.04	+0.4
2025	28	MIX MLE	2 levels	52	0	65	277	63	30	6	0%	1.2	19.9%	10.0%	9.9%	2.5%	4.18	4.04	+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
▸ 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
▸ 2026 season
YTD	29	MLB MLE	San Francisco Giants	23	0	21	89	16	10	1	0%	0.9	—	—	—	—	4.79	—	—
YTD	29	MLB MLE	San Francisco Giants	23	0	21	89	16	10	1	0%	0.9	—	—	—	—	4.79	—	—
▸ 2026 season — so far · projected rest · full
2026	29	AAA RAW	SF	12	0	9	41	11	6	1	0%	0.8	26.8%	14.6%	12.2%	2.4%	7.71	4.03	—
2026	29	MLB RAW	SF	11	0	11	48	5	4	0	0%	1.0	10.4%	8.3%	2.1%	0.0%	2.38	3.28	+0.2
SO FAR	29	MLB RAW	SF	11	0	11	48	5	4	0	0%	1.0	10.4%	8.3%	2.1%	0.0%	2.38	3.28	+0.2
ROS	29	MLB MLE	SF	1	0	1	5	1	0	0	0%	1.1	21.1%	10.4%	10.6%	2.7%	4.35	4.52	+0.0
ROS	29	MLB CTX	SF	1	0	1	4	1	0	0	0%	1.0	21.1%	10.4%	10.6%	2.7%	4.35	4.52	+0.0
2026 TOT	29	MLB MLE	SF	—	—	22	94	17	10	1	—	—	18.1%	11.2%	6.9%	1.2%	4.77	0.23	+1.3
FULL	29	MLB A+C	SF	—	—	12	52	17	10	1	—	—	32.3%	20.0%	12.4%	2.1%	8.35	4.08	+0.7
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	SF	58	0	61	257	50	27	7	0%	1.1	19.3%	10.4%	8.9%	2.7%	4.52	4.67	-0.1
2028	31	MLB MLE	SF	54	0	57	240	45	25	7	0%	1.1	18.8%	10.6%	8.2%	3.0%	4.72	4.88	-0.2
2027	30	MLB CTX	SF	55	0	58	245	47	25	7	0%	1.1	19.3%	10.4%	8.9%	2.7%	4.52	4.67	-0.1
2028	31	MLB CTX	SF	51	0	54	228	43	24	7	0%	1.1	18.8%	10.6%	8.2%	3.0%	4.72	4.88	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		136	0	147	611	113	61	16	0%	1.1	18.5%	10.0%	8.5%	2.6%	4.11	4.21	+0.6
/ 200 IP	—	RAW		185	0	200	833	154	83	22	0%	1.1	18.5%	10.0%	8.5%	2.6%	4.11	4.21	+0.8
Career	—	MLE		325	25	467	2067	332	212	42	8%	1.4	16.1%	10.2%	5.8%	2.0%	4.63	4.16	+0.1
/ 200 IP	—	MLE		139	11	200	885	142	91	18	8%	1.4	16.1%	10.2%	5.8%	2.0%	4.63	4.16	+0.1

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)	—	—	4.52	21.1%	10.4%	2.7%	—	4.77	19.1%	8.6%	118	+0.25	—	—	—
Daniel Robert R 2023 · 3.51 FIP	28	SU	3.51	21.9%	10.7%	1.7%	.310	3.09	24.6%	16.4%	87	-0.42	2.32	186	76
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.55	21.2%	-0.6%	51	+0.46	4.09	130	76
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	173	76
Tanner Scheppers R 2015 · 4.37 FIP	28	SU	4.37	17.7%	11.2%	2.5%	.263	4.86	15.7%	9.0%	48	+0.49	4.37	101	72
Bo Schultz R 2015 · 4.30 FIP	29	SU	4.30	18.3%	7.9%	3.2%	.218	3.49	15.1%	8.9%	77	-0.81	2.73	141	71
Daniel Hudson R 2016 · 3.39 FIP	29	SU	3.39	21.6%	7.1%	2.2%	.319	3.84	23.5%	13.9%	181	+0.45	1.68	468	71
Luis García R 2016 · 3.75 FIP	29	SU	3.75	20.6%	10.9%	1.8%	.281	3.74	21.6%	12.6%	179	-0.01	2.33	617	70
Joe Kelly R 2017 · 3.35 FIP	29	SU	3.35	21.8%	10.9%	1.3%	.248	3.30	25.4%	15.3%	117	-0.05	2.38	556	70
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	70
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	70
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	69
Pedro Báez R 2017 · 4.08 FIP	29	SU	4.08	22.9%	9.6%	3.1%	.261	3.18	24.7%	16.1%	143	-0.90	2.29	332	69
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	69
Ryan Cook R 2015 · 4.73 FIP	28	SU	4.73	16.5%	9.9%	3.2%	.297	3.96	25.1%	14.3%	50	-0.77	3.96	102	69
Neftalí Feliz R 2017 · 5.59 FIP	29	SU	5.59	18.9%	10.7%	5.0%	.240	4.74	16.2%	2.5%	92	-0.85	3.54	291	68
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	68
Domingo Tapia R 2021 · 4.04 FIP	29	SU	4.04	19.6%	11.5%	2.1%	.246	4.57	16.7%	3.2%	93	+0.53	3.57	395	67
Al Alburquerque R 2015 · 3.54 FIP	29	SU	3.54	21.4%	11.1%	1.5%	.330	3.23	21.3%	12.5%	114	-0.31	2.84	228	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	66
Mike Broadway R 2016 · 4.10 FIP	29	SU	4.10	19.8%	7.9%	3.1%	.315	4.69	20.6%	10.2%	100	+0.59	1.74	195	66

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.9	59	19.7%	10.5%	1.09	4.53
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
Cory Gearrin ('19)	1.1	57	21.5%	9.8%	0.79	3.42