Sean Boyle — OGILVIE

Sean Boyle P El Paso Chihuahuas

Age 29 RHP 6'1" / 205 lbs AAA peak 0.8 · 2026

2026 ROS PROJECTION117 act + 7 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 123115vR 106

ERA4.71

FIP4.71

K%16.6%

BB%8.0%

K-BB%8.6%

ROS IP7

Value2026 · WAR

Runs saved vs league avg · 125 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5555

CMD4545

K†4045

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)
2018	21	ROK MLE	GCL Yankees West	10	0	15	64	20	4	2	0%	1.5	21.3%	7.8%	13.4%	4.4%	3.60	4.70	—
2018	21	ROK RAW	GCL Yankees West	10	0	15	64	20	4	2	0%	1.5	31.2%	6.2%	25.0%	3.1%	3.60	2.97	—
2021	24	MIX MLE	4 levels	27	10	86	345	98	22	4	37%	3.2	22.6%	7.3%	15.3%	1.4%	1.99	2.87	—
2021	24	MIX RAW	4 levels	27	10	86	345	98	22	4	37%	3.2	28.4%	6.4%	22.0%	1.2%	1.99	2.19	—
2022	25	MIX MLE	2 levels	28	27	155	630	160	34	25	96%	5.5	21.0%	5.8%	15.2%	4.5%	3.71	4.53	—
2022	25	MIX RAW	2 levels	28	27	155	630	160	34	25	96%	5.5	25.4%	5.4%	20.0%	4.0%	3.71	3.79	—
2023	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	9	9	35	168	36	12	7	100%	3.9	17.8%	6.4%	11.4%	4.5%	6.69	4.89	—
2023	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	9	9	35	168	36	12	7	100%	3.9	17.8%	6.4%	11.4%	4.5%	6.69	4.89	—
2023	26	AAA RAW	Scranton/Wilkes-Barre RailRiders	9	9	35	168	36	12	7	100%	3.9	21.4%	7.1%	14.3%	4.2%	6.69	4.67	—
2024	27	MIX MLE	3 levels	16	2	21	87	22	5	2	12%	1.3	25.3%	5.7%	19.5%	2.3%	3.86	2.95	—
2024	27	MIX MLE	3 levels	16	2	21	87	22	5	2	12%	1.3	25.3%	5.7%	19.5%	2.3%	3.86	2.95	—
2024	27	MIX RAW	3 levels	16	2	21	87	22	5	2	12%	1.3	25.3%	5.7%	19.5%	2.3%	3.86	2.96	—
2025	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	28	23	135	585	120	51	16	82%	4.8	17.0%	7.8%	9.2%	2.8%	4.61	4.20	—
2025	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	28	23	135	585	120	51	16	82%	4.8	17.0%	7.8%	9.2%	2.8%	4.61	4.20	—
2025	28	AAA RAW	Scranton/Wilkes-Barre RailRiders	28	23	135	585	120	51	16	82%	4.8	20.5%	8.7%	11.8%	2.7%	4.61	4.00	—
▸ 2026 season
YTD	29	AAA MLE	El Paso Chihuahuas	33	16	117	529	90	40	17	48%	3.6	14.1%	6.8%	7.3%	3.5%	5.83	4.71	—
YTD	29	AAA MLE	El Paso Chihuahuas	33	16	117	529	90	40	17	48%	3.6	14.1%	6.8%	7.3%	3.5%	5.83	4.71	—
▸ 2026 season — so far · projected rest · full
2026	29	AAA RAW	SD	33	16	117	529	90	40	17	48%	3.6	17.0%	7.6%	9.5%	3.2%	5.83	4.39	—
ROS	29	MLB MLE	SD	7	0	7	32	5	3	1	0%	1.1	16.6%	8.0%	8.6%	2.9%	4.71	4.71	-0.0
2026 TOT	29	MLB MLE	SD	—	—	125	561	95	43	18	—	—	17.0%	7.6%	9.4%	3.2%	5.76	4.71	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	SD	12	12	78	328	62	25	10	100%	6.5	18.8%	7.5%	11.3%	3.1%	4.61	4.57	+0.3
2028	31	MLB MLE	SD	11	11	72	306	57	24	10	100%	6.6	18.8%	8.0%	10.8%	3.4%	4.69	4.75	+0.1
2029	32	MLB MLE	SD	10	10	67	283	52	24	10	100%	6.7	18.5%	8.5%	10.1%	3.6%	4.84	4.96	-0.0
2027	30	MLB CTX	SD	4	4	29	122	23	9	4	100%	7.2	18.8%	7.5%	11.3%	3.1%	4.61	4.57	+0.1
2028	31	MLB CTX	SD	6	6	40	169	32	13	6	100%	6.7	18.8%	8.0%	10.8%	3.4%	4.69	4.75	+0.1
2029	32	MLB CTX	SD	7	7	45	190	35	16	7	100%	6.4	18.5%	8.5%	10.1%	3.6%	4.84	4.96	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		18	17	115	484	90	39	16	94%	6.4	18.7%	8.1%	10.6%	3.4%	4.73	4.41	+0.7
/ 200 IP	—	RAW		32	30	200	844	157	68	28	96%	6.3	18.7%	8.1%	10.6%	3.4%	4.73	4.41	+1.1
Career	—	MLE		151	87	564	2408	450	164	81	58%	3.7	18.7%	6.8%	11.9%	3.3%	4.29	4.22	+0.4
/ 200 IP	—	MLE		54	31	200	853	160	58	29	58%	3.7	18.7%	6.8%	11.9%	3.3%	4.29	4.22	+0.3

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
Sean Boyle (OGILVIE)	—	—	4.71	16.6%	8.0%	2.9%	—	4.75	18.7%	10.7%	217	+0.04	—	—	—
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	83
Jason Berken R 2015 · 4.34 FIP	31	SW	4.34	13.5%	6.6%	2.8%	.315	4.54	11.5%	3.2%	106	+0.20	4.34	219	83
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	83
Kris Medlen R 2015 · 4.82 FIP	29	SP-	4.82	15.4%	6.4%	4.0%	.261	5.17	17.1%	8.6%	173	+0.35	4.59	261	82
Kanekoa Texeira R 2015 · 4.13 FIP	29	SP-	4.13	14.5%	11.2%	1.5%	.280	4.10	10.2%	-0.2%	63	-0.03	4.10	165	80
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	79
Jacob Turner R 2018 · 4.48 FIP	27	SP-	4.48	14.9%	8.8%	2.8%	.297	—	—	—	—	—	4.29	340	79
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	79
Shawn Haviland R 2015 · 3.95 FIP	29	SP-	3.95	14.6%	6.0%	2.4%	.303	4.67	16.1%	8.8%	169	+0.72	3.69	283	79
Colin Bates R 2015 · 4.57 FIP	27	SP-	4.57	10.5%	6.5%	2.8%	.301	—	—	—	—	—	4.57	111	78
Mitch Atkins R 2016 · 3.65 FIP	30	SP-	3.65	21.4%	8.2%	2.4%	.341	4.77	14.3%	6.2%	78	+1.12	3.65	205	77
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	4.13	133	76
Odrisamer Despaigne R 2016 · 3.97 FIP	29	SW	3.97	15.3%	8.5%	2.0%	.316	3.74	17.1%	8.5%	348	-0.23	3.13	593	76
Scott Carroll R 2015 · 3.92 FIP	30	SW	3.92	12.7%	7.7%	1.7%	.286	5.07	11.2%	2.6%	128	+1.15	3.92	248	75
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	75
Daniel McCutchen R 2015 · 4.30 FIP	32	SP-	4.30	13.9%	4.4%	3.3%	.268	4.74	10.8%	4.9%	155	+0.44	4.30	287	75
Aaron Brooks R 2019 · 4.72 FIP	29	SP-	4.72	17.0%	7.1%	3.9%	.281	4.38	15.8%	8.8%	70	-0.34	3.71	879	75
Frank Batista R 2015 · 4.29 FIP	26	SP-	4.29	12.1%	8.2%	2.1%	.280	—	—	—	—	—	4.29	118	75
Matt Cain R 2015 · 4.88 FIP	30	SP-	4.88	17.1%	6.8%	4.3%	.296	4.87	15.2%	7.6%	214	-0.01	4.82	294	74
Clayton Mortensen R 2015 · 4.41 FIP	30	SP-	4.41	15.0%	12.6%	1.8%	.289	4.43	22.0%	10.3%	115	+0.02	4.31	221	74

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	1.5	75	18.1%	8.0%	1.25	4.71
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45