Domingo Germán — OGILVIE

Domingo Germán P Indianapolis Indians

Age 33 RHP 6'2" / 181 lbs AAA peak 0.3 · 2026

2026 ROS PROJECTION0 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 127119vR 111

ERA4.77

FIP4.93

K%20.2%

BB%9.2%

K-BB%11.0%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 4 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—50

STUF5060

CTRL4050

CMD4050

K†5050

Statcast Percentiles

FB Velo

p1090.7

Whiff%

p1520.3%

p2118.0%

xwOBA vs

p100.362

SI (4%)

CU (33%)

CH-0.6 (23%)

FB-3.5 (44%)

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	23	MIX MLE	2 levels	10	10	50	198	38	11	3	100%	5.0	14.5%	6.4%	8.1%	2.2%	3.08	3.90	—
2016	23	MIX RAW	2 levels	10	10	50	198	38	11	3	100%	5.0	19.2%	5.6%	13.6%	1.5%	3.08	3.02	—
2017	24	MIX MLE	3 levels	27	19	124	515	137	41	10	70%	4.6	23.3%	8.4%	14.9%	2.0%	2.91	3.29	+2.4
2017	24	MIX RAW	3 levels	27	19	124	515	137	41	10	70%	4.6	26.6%	8.0%	18.6%	1.9%	2.91	2.93	+3.0
2018	25	MIX MLE	4 levels	25	17	94	412	112	37	17	68%	3.8	27.2%	8.8%	18.4%	3.7%	5.74	3.97	+1.0
2018	25	MIX RAW	4 levels	25	17	94	412	112	37	17	68%	3.8	27.2%	9.0%	18.2%	4.1%	5.74	4.25	+0.7
2019	26	MIX MLE	2 levels	28	25	147	613	158	41	32	89%	5.2	25.8%	6.6%	19.2%	4.7%	4.16	4.35	+0.9
2019	26	MIX RAW	2 levels	28	25	147	613	158	41	32	89%	5.2	25.8%	6.7%	19.1%	5.2%	4.16	4.62	+0.5
2021	28	MIX MLE	2 levels	24	18	102	427	105	29	17	75%	4.3	23.9%	6.6%	17.3%	3.9%	4.49	4.05	+1.0
2021	28	MIX RAW	2 levels	24	18	102	427	105	29	17	75%	4.3	24.6%	6.8%	17.8%	4.0%	4.49	4.06	+1.0
2022	29	MIX MLE	4 levels	20	19	93	367	69	20	11	95%	4.6	19.5%	6.4%	13.1%	3.5%	2.91	4.16	+0.8
2022	29	MIX RAW	4 levels	20	19	93	367	69	20	11	95%	4.6	18.8%	5.4%	13.4%	3.0%	2.91	3.80	+1.2
2023	30	MLB MLE	New York Yankees	20	19	109	444	114	34	20	95%	5.4	25.7%	7.7%	18.0%	4.2%	4.56	4.22	+0.9
2023	30	MLB MLE	New York Yankees	20	19	109	444	114	34	20	95%	5.4	25.7%	7.7%	18.0%	4.2%	4.56	4.22	+0.9
2023	30	MLB RAW	New York Yankees	20	19	109	444	114	34	20	95%	5.4	25.7%	7.7%	18.0%	4.5%	4.56	4.33	+0.7
2024	31	MIX MLE	3 levels	23	17	100	447	96	48	17	74%	4.3	18.5%	9.7%	8.8%	4.4%	5.51	5.18	-0.3
2024	31	MIX MLE	3 levels	23	17	100	447	96	48	17	74%	4.3	18.5%	9.7%	8.8%	4.4%	5.51	5.18	-0.3
2024	31	MIX RAW	3 levels	23	17	100	447	96	48	17	74%	4.3	21.5%	10.7%	10.7%	3.8%	5.51	4.84	+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			119	91	543	2283	561	173	98	76%	4.6	24.6%	7.6%	17.0%	4.3%	4.54	4.34	+3.6
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	33	MLB	PIT	1	1	4	17	3	2	1	100%	4.0	20.2%	9.2%	11.0%	3.6%	4.77	4.93	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	34	MLB MLE	PIT	8	8	50	210	40	20	8	100%	6.2	19.3%	9.7%	9.6%	3.9%	5.05	5.23	-0.2
2028	35	MLB MLE	PIT	7	7	45	188	35	19	8	100%	6.4	18.3%	10.3%	8.1%	4.3%	5.36	5.57	-0.3
2027	34	MLB CTX	PIT	8	8	50	211	41	21	8	100%	6.2	19.3%	9.7%	9.6%	3.9%	5.05	5.23	-0.2
2028	35	MLB CTX	PIT	8	8	45	190	35	20	8	100%	5.6	18.3%	10.3%	8.1%	4.3%	5.36	5.57	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		135	107	637	2681	636	213	114	79%	4.7	23.7%	7.9%	15.8%	4.3%	4.64	4.44	+3.4
/ 200 IP	—	RAW		42	33	200	841	200	67	36	79%	4.7	23.7%	7.9%	15.8%	4.3%	4.64	4.44	+1.1
Career	—	MLE		177	144	818	3423	789	261	127	81%	4.6	23.0%	7.6%	15.4%	3.7%	4.20	4.15	+3.0
/ 200 IP	—	MLE		43	35	200	837	193	64	31	81%	4.6	23.0%	7.6%	15.4%	3.7%	4.20	4.15	+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
Domingo Germán (OGILVIE)	—	—	4.93	20.2%	9.2%	3.6%	—	5.39	18.8%	8.9%	94	+0.46	—	—	—
Jair Jurrjens R 2017 · 4.27 FIP	31	SP	4.27	16.3%	7.9%	2.8%	.335	—	—	—	—	—	4.27	125	72
Tim Lincecum R 2016 · 4.88 FIP	32	SP	4.88	17.9%	10.4%	3.6%	.351	5.87	14.4%	-1.1%	13	+0.99	4.20	166	71
Matt Shoemaker R 2020 · 6.00 FIP	33	SP	6.00	22.6%	7.8%	7.0%	.194	4.85	18.0%	10.3%	131	-1.15	3.17	592	69
Brandon McCarthy R 2016 · 4.84 FIP	33	SP	4.84	22.5%	11.5%	4.0%	.288	3.82	19.0%	12.4%	171	-1.02	3.09	248	69
Matt Garza R 2017 · 4.57 FIP	33	SP	4.57	15.7%	8.1%	3.2%	.283	—	—	—	—	—	4.00	365	68
Kris Medlen R 2018 · 5.20 FIP	32	SP	5.20	16.2%	10.0%	4.0%	.306	—	—	—	—	—	4.59	261	67
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	67
Tyler Cloyd R 2019 · 5.21 FIP	32	SP	5.21	18.9%	9.5%	4.6%	.388	—	—	—	—	—	3.89	250	66
Guillermo Moscoso R 2017 · 3.77 FIP	33	SP	3.77	14.5%	6.9%	1.8%	.270	4.64	14.9%	7.5%	176	+0.87	3.77	264	66
Edwin Jackson R 2017 · 5.02 FIP	33	SP-	5.02	18.7%	9.5%	4.2%	.278	5.25	16.9%	6.9%	252	+0.23	3.77	521	63
Manuel Flores R 2019 · 4.32 FIP	33	SP	4.32	17.1%	7.4%	3.1%	.291	—	—	—	—	—	3.46	515	63
Tyson Ross R 2019 · 5.68 FIP	32	SP	5.68	15.4%	11.1%	4.5%	.304	—	—	—	—	—	2.76	449	62
Dillon Gee R 2017 · 3.85 FIP	31	SP-	3.85	18.0%	5.9%	2.8%	.302	—	—	—	—	—	3.67	380	62
Kameron Loe R 2016 · 3.84 FIP	34	SP	3.84	11.9%	5.3%	2.0%	.356	3.38	17.1%	9.1%	133	-0.46	3.38	201	62
Andres Ivan Meza R 2019 · 4.33 FIP	32	SP	4.33	11.7%	7.7%	2.3%	.349	—	—	—	—	—	4.14	275	62
Mitch Talbot R 2018 · 3.82 FIP	34	SP	3.82	13.7%	5.6%	2.1%	.281	5.01	13.2%	8.9%	59	+1.19	3.82	162	62
Austin Bibens-Dirkx R 2018 · 4.89 FIP	33	SP-	4.89	17.9%	7.6%	4.3%	.322	4.82	15.9%	9.5%	147	-0.07	3.97	567	62
Elih Villanueva R 2017 · 5.48 FIP	31	SP	5.48	14.1%	6.0%	5.1%	.365	—	—	—	—	—	3.83	225	61
Miguel Ruiz R 2017 · 5.60 FIP	31	SP	5.60	10.6%	11.0%	3.6%	.279	—	—	—	—	—	5.60	117	61
Deck McGuire R 2022 · 5.12 FIP	33	SP-	5.12	15.7%	13.1%	3.1%	.279	—	—	—	—	—	3.41	622	60

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	0.7	50	19.3%	9.7%	1.51	5.04
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Jharel Cotton ('22)	1.2	58	19.8%	9.2%	1.59	4.50
Austin Voth ('24)	1.7	58	22.2%	8.2%	1.50	4.63