Ryan Miller — OGILVIE

Ryan Miller P Albuquerque Isotopes

Age 30 RHP 6'0" / 180 lbs AAA

2026 ROS PROJECTION62 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 123115vR 106

ERA4.53

FIP4.71

K%18.8%

BB%6.7%

K-BB%12.0%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 68 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL5555

CMD5050

K†4545

Statcast Percentiles

FB Velo

p3793.6

Whiff%

p1019.6%

p2819.0%

xwOBA vs

p370.327

FB+0.9 (42%)

SI (42%)

SL-1.6 (58%)

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)
2019	23	A MLE	Kane County Cougars	27	0	55	238	36	17	7	0%	2.0	11.2%	8.4%	2.8%	4.4%	3.62	5.62	—
2019	23	A RAW	Kane County Cougars	27	0	55	238	36	17	7	0%	2.0	15.1%	7.1%	8.0%	2.9%	3.62	4.38	—
2022	26	A+ MLE	Hudson Valley Renegades	25	0	36	151	50	18	7	0%	1.4	25.5%	13.7%	11.8%	5.7%	5.75	5.82	—
2022	26	A+ RAW	Hudson Valley Renegades	25	0	36	151	50	18	7	0%	1.4	33.1%	11.9%	21.2%	4.6%	5.75	4.35	—
2023	27	AA MLE	Portland Sea Dogs	41	1	60	260	67	19	8	2%	1.5	20.9%	8.0%	12.8%	3.5%	4.03	4.29	—
2023	27	AA MLE	Portland Sea Dogs	41	1	60	260	67	19	8	2%	1.5	20.9%	8.0%	12.8%	3.5%	4.03	4.29	—
2023	27	AA RAW	Portland Sea Dogs	41	1	60	260	67	19	8	2%	1.5	25.8%	7.3%	18.5%	3.1%	4.03	3.55	—
2024	28	MIX MLE	2 levels	47	1	75	306	72	20	9	2%	1.6	20.1%	6.1%	14.1%	3.5%	2.75	4.08	+0.4
2024	28	MIX MLE	2 levels	47	1	75	306	72	20	9	2%	1.6	20.1%	6.1%	14.1%	3.5%	2.75	4.08	+0.4
2024	28	MIX RAW	2 levels	47	1	75	306	72	20	9	2%	1.6	23.5%	6.5%	17.0%	2.9%	2.75	3.54	+0.9
2025	29	AAA MLE	Toledo Mud Hens	37	0	50	200	44	15	8	0%	1.4	18.3%	6.8%	11.5%	5.0%	4.32	5.18	—
2025	29	AAA MLE	Toledo Mud Hens	37	0	50	200	44	15	8	0%	1.4	18.3%	6.8%	11.5%	5.0%	4.32	5.18	—
2025	29	AAA RAW	Toledo Mud Hens	37	0	50	200	44	15	8	0%	1.4	22.0%	7.5%	14.5%	4.0%	4.32	4.32	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			13	0	13	58	11	6	2	0%	1.0	19.0%	10.3%	8.6%	3.4%	4.15	4.79	-0.0
▸ 2026 season
YTD	30	AAA MLE	Albuquerque Isotopes	47	7	62	313	48	38	9	15%	1.3	12.7%	10.9%	1.8%	3.2%	7.84	5.15	—
YTD	30	AAA MLE	Albuquerque Isotopes	47	7	62	313	48	38	9	15%	1.3	12.7%	10.9%	1.8%	3.2%	7.84	5.15	—
▸ 2026 season — so far · projected rest · full
2026	30	AAA RAW	COL	47	7	62	313	48	38	9	15%	1.3	15.3%	12.1%	3.2%	2.9%	7.84	4.92	—
ROS	30	MLB MLE	COL	6	0	6	25	5	2	1	0%	1.0	18.8%	6.7%	12.0%	3.6%	4.53	4.71	-0.0
2026 TOT	30	MLB MLE	COL	—	—	68	338	53	40	10	—	—	15.6%	11.7%	3.9%	2.9%	7.55	5.11	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	COL	58	0	61	259	48	19	10	0%	1.1	18.5%	7.3%	11.2%	3.7%	4.73	4.90	-0.2
2028	32	MLB MLE	COL	54	0	57	239	43	19	9	0%	1.1	18.0%	7.9%	10.2%	3.9%	4.94	5.11	-0.4
2027	31	MLB CTX	COL	22	0	23	97	18	7	4	0%	1.0	18.5%	7.3%	11.2%	3.7%	4.73	4.90	-0.1
2028	32	MLB CTX	COL	30	0	31	131	24	10	5	0%	1.0	18.0%	7.9%	10.2%	3.9%	4.94	5.11	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		65	0	67	288	53	24	11	0%	1.0	18.4%	8.2%	10.2%	3.8%	4.71	4.65	-0.1
/ 200 IP	—	RAW		192	0	200	854	157	71	33	0%	1.0	18.4%	8.2%	10.2%	3.8%	4.71	4.65	-0.2
Career	—	MLE		224	9	338	1468	257	128	59	4%	1.5	17.5%	8.7%	8.8%	4.0%	4.60	4.92	-0.7
/ 200 IP	—	MLE		132	5	200	868	152	76	35	4%	1.5	17.5%	8.7%	8.8%	4.0%	4.60	4.92	-1.0

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
Ryan Miller (OGILVIE)	—	—	4.71	18.8%	6.7%	3.6%	—	5.00	18.3%	10.7%	118	+0.29	—	—	—
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	85
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
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	82
Tanner Scheppers R 2017 · 4.86 FIP	30	SU	4.86	15.7%	6.7%	4.1%	.301	—	—	—	—	—	4.37	101	82
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	81
Felipe Arredondo R 2017 · 4.76 FIP	30	SW	4.76	14.8%	7.3%	3.6%	.311	4.65	16.2%	9.1%	64	-0.11	3.92	337	80
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	80
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	80
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	79
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	79
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	78
Jose Manuel Lopez R 2015 · 5.21 FIP	30	SU	5.21	18.6%	7.6%	4.9%	.373	3.56	18.5%	9.3%	93	-1.65	3.50	170	78
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	77
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	77
Bud Norris R 2015 · 4.68 FIP	30	SW	4.68	18.8%	8.2%	3.9%	.327	3.78	24.2%	15.5%	233	-0.90	3.51	316	77
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	77
Adrian Garza R 2017 · 4.47 FIP	29	SU	4.47	16.0%	7.0%	3.4%	.351	5.18	9.7%	4.1%	113	+0.71	3.94	229	77
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	76
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	76
Pedro Rodriguez R 2019 · 4.14 FIP	31	SU	4.14	14.7%	4.9%	3.0%	.368	—	—	—	—	—	3.21	145	76

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	61	18.4%	7.3%	1.45	4.72
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Austin Voth ('24)	1.7	58	22.2%	8.2%	1.50	4.63
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45