Ryan Boyer — OGILVIE

Ryan Boyer P Erie SeaWolves

Age 29 RHP 6'2" / 225 lbs AA peak 0.1 · 2026

2026 ROS PROJECTION0 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 113105vR 97

ERA4.21

FIP4.21

K%22.1%

BB%6.3%

K-BB%15.8%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 6 IP

Grades · Contract

Scouting Grades

STUF5050

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K†5555

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)
2022	25	MIX MLE	3 levels	24	0	30	124	45	7	4	0%	1.2	31.0%	4.8%	26.2%	3.6%	3.60	3.09	—
2022	25	MIX RAW	3 levels	24	0	30	124	45	7	4	0%	1.2	36.3%	5.6%	30.6%	3.2%	3.60	2.53	—
2023	26	MIX MLE	3 levels	25	0	34	137	44	13	1	0%	1.4	25.9%	7.9%	18.0%	0.0%	1.83	1.92	—
2023	26	MIX MLE	3 levels	25	0	34	137	44	13	1	0%	1.4	25.9%	7.9%	18.0%	0.0%	1.83	1.92	—
2023	26	MIX RAW	3 levels	25	0	34	137	44	13	1	0%	1.4	32.1%	9.5%	22.6%	0.7%	1.83	2.05	—
2024	27	MIX MLE	3 levels	36	0	36	152	45	8	6	0%	1.0	24.1%	3.6%	20.5%	2.6%	3.96	2.95	—
2024	27	MIX MLE	3 levels	36	0	36	152	45	8	6	0%	1.0	24.1%	3.6%	20.5%	2.6%	3.96	2.95	—
2024	27	MIX RAW	3 levels	36	0	36	152	45	8	6	0%	1.0	29.6%	5.3%	24.3%	3.9%	3.96	3.43	—
2025	28	MIX MLE	2 levels	37	0	59	250	64	17	12	0%	1.6	21.2%	7.4%	13.7%	4.6%	5.01	4.78	—
2025	28	MIX MLE	2 levels	37	0	59	250	64	17	12	0%	1.6	21.2%	7.4%	13.7%	4.6%	5.01	4.78	—
2025	28	MIX RAW	2 levels	37	0	59	250	64	17	12	0%	1.6	25.6%	6.8%	18.8%	4.8%	5.01	4.43	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	29	MLB	DET	6	0	6	25	6	2	1	0%	1.0	22.1%	6.3%	15.8%	3.3%	4.21	4.21	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	DET	61	0	64	272	60	19	9	0%	1.1	21.9%	6.9%	15.0%	3.4%	4.33	4.40	+0.1
2028	31	MLB MLE	DET	57	0	60	254	55	19	9	0%	1.1	21.6%	7.4%	14.2%	3.6%	4.48	4.59	-0.0
2027	30	MLB CTX	DET	19	0	20	84	18	6	3	0%	1.1	21.9%	6.9%	15.0%	3.4%	4.33	4.40	+0.0
2028	31	MLB CTX	DET	30	0	31	131	28	10	5	0%	1.0	21.6%	7.4%	14.2%	3.6%	4.48	4.59	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		49	0	51	216	47	16	8	0%	1.0	21.7%	7.2%	14.5%	3.6%	4.42	4.14	+0.2
/ 200 IP	—	RAW		190	0	200	844	184	63	31	0%	1.1	21.7%	7.2%	14.5%	3.6%	4.42	4.14	+1.0
Career	—	MLE		122	0	160	663	163	41	20	0%	1.3	24.7%	6.2%	18.5%	3.0%	3.83	3.45	+0.1
/ 200 IP	—	MLE		152	0	200	829	204	51	25	0%	1.3	24.7%	6.2%	18.5%	3.0%	3.83	3.45	+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
Ryan Boyer (OGILVIE)	—	—	4.21	22.1%	6.3%	3.3%	—	4.49	21.7%	14.6%	125	+0.28	—	—	—
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	89
Joakim Soria R 2015 · 3.70 FIP	31	SU	3.70	23.5%	6.6%	3.2%	.258	2.91	26.6%	18.9%	183	-0.79	2.01	380	88
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	86
Tommy Hunter R 2015 · 3.72 FIP	29	SU	3.72	18.9%	4.8%	2.9%	.295	3.14	21.2%	15.9%	172	-0.58	2.78	316	86
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	86
Jaye Chapman R 2016 · 3.25 FIP	29	SU	3.25	24.6%	6.4%	2.6%	.274	5.51	13.0%	-0.4%	31	+2.26	3.25	150	85
Danny Farquhar R 2016 · 4.02 FIP	29	SU	4.02	21.7%	7.6%	3.3%	.272	3.62	22.3%	11.3%	62	-0.40	3.62	224	84
Rob Wooten R 2015 · 4.86 FIP	30	SU	4.86	19.3%	5.5%	4.9%	.299	3.87	17.7%	14.4%	111	-0.99	3.19	191	84
Carlos Torres R 2015 · 3.19 FIP	32	SU	3.19	19.8%	4.9%	2.1%	.315	3.67	20.8%	12.4%	206	+0.48	2.89	326	84
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	84
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	83
Pedro Beato R 2016 · 4.20 FIP	29	SU	4.20	19.2%	8.5%	3.0%	.275	3.72	18.5%	11.1%	152	-0.48	3.47	295	82
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	81
Cory Gearrin R 2015 · 3.52 FIP	29	SU	3.52	22.1%	7.5%	2.5%	.283	3.54	22.2%	13.6%	174	+0.02	3.15	272	81
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.55	17.5%	6.5%	168	+0.67	3.88	202	81
Jumbo Diaz R 2015 · 3.16 FIP	31	SU	3.16	25.2%	6.0%	2.6%	.286	3.65	21.9%	12.2%	152	+0.49	2.80	284	80
Matt Albers R 2015 · 3.19 FIP	32	SU	3.19	18.8%	4.7%	2.0%	.252	4.45	20.4%	13.3%	147	+1.26	3.15	244	80
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	80
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	80
Drew Storen R 2017 · 3.83 FIP	29	SU	3.83	19.5%	7.3%	2.6%	.289	4.31	19.4%	8.4%	10	+0.48	2.36	172	80

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	1.0	64	21.9%	6.8%	1.33	4.33
Eli Morgan ('24)	1.3	66	23.8%	6.4%	1.46	3.97
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Mike Mayers ('23)	1.2	47	24.3%	7.8%	1.50	4.47
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Adbert Alzolay ('23)	1.1	70	26.1%	7.0%	1.32	3.84