Eric Orze — OGILVIE

Eric Orze P Minnesota Twins

Age 28 RHP 6'4" / 205 lbs MLB peak 0.2 · 2026 ILReassigned to Minors (RM)

2026 ROS PROJECTION61 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 108100vR 92

ERA3.81

FIP3.99

K%22.1%

BB%9.9%

K-BB%12.2%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 68 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL4040

CMD4545

K†6060

Statcast Percentiles

FB Velo

p2692.8

Whiff%

p2521.8%

p2819.0%

xwOBA vs

p490.313

SL (14%)

CU (9%)

FB (26%)

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)
2021	23	MIX MLE	3 levels	34	0	50	202	67	14	5	0%	1.5	26.9%	7.6%	19.3%	3.1%	3.08	3.47	—
2021	23	MIX RAW	3 levels	34	0	50	202	67	14	5	0%	1.5	33.2%	6.9%	26.2%	2.5%	3.08	2.56	—
2022	24	MIX MLE	2 levels	34	0	50	208	69	13	11	0%	1.5	28.6%	6.9%	21.7%	5.9%	4.83	4.83	—
2022	24	MIX RAW	2 levels	34	0	50	208	69	13	11	0%	1.5	33.2%	6.2%	26.9%	5.3%	4.83	3.97	—
2023	25	AAA MLE	Syracuse Mets	39	1	61	272	81	41	6	3%	1.6	24.7%	13.6%	11.2%	2.4%	5.31	4.06	—
2023	25	AAA MLE	Syracuse Mets	39	1	61	272	81	41	6	3%	1.6	24.7%	13.6%	11.2%	2.4%	5.31	4.06	—
2023	25	AAA RAW	Syracuse Mets	39	1	61	272	81	41	6	3%	1.6	29.8%	15.1%	14.7%	2.2%	5.31	3.74	—
2024	26	MIX MLE	2 levels	45	0	63	268	85	33	9	0%	1.4	27.1%	10.9%	16.3%	3.2%	3.41	3.96	+0.4
2024	26	MIX MLE	2 levels	45	0	63	268	85	33	9	0%	1.4	27.1%	10.9%	16.3%	3.2%	3.41	3.96	+0.4
2024	26	MIX RAW	2 levels	45	0	63	268	85	33	9	0%	1.4	31.7%	12.3%	19.4%	3.4%	3.41	3.83	+0.5
2025	27	MIX MLE	2 levels	57	0	70	291	77	28	8	0%	1.2	24.3%	9.3%	15.0%	2.4%	2.69	3.56	+0.8
2025	27	MIX MLE	2 levels	57	0	70	291	77	28	8	0%	1.2	24.3%	9.3%	15.0%	2.4%	2.69	3.56	+0.8
2025	27	MIX RAW	2 levels	57	0	70	291	77	28	8	0%	1.2	26.5%	9.6%	16.8%	2.7%	2.69	3.58	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			71	0	85	378	77	39	6	0%	1.2	20.4%	10.3%	10.1%	1.6%	4.68	3.58	+1.0
▸ 2026 season
YTD	28	MLB MLE	Minnesota Twins	52	0	61	260	52	21	4	0%	1.2	19.0%	8.0%	11.0%	1.7%	4.55	3.42	+0.8
YTD	28	MLB MLE	Minnesota Twins	52	0	61	260	52	21	4	0%	1.2	19.0%	8.0%	11.0%	1.7%	4.55	3.42	+0.8
▸ 2026 season — so far · projected rest · full
2026	28	AAA RAW	MIN	16	0	20	71	16	2	3	0%	1.2	22.5%	2.8%	19.7%	4.2%	2.25	3.87	—
2026	28	MLB RAW	MIN	36	0	41	189	36	19	1	0%	1.1	19.0%	10.1%	9.0%	0.5%	5.66	3.06	+0.7
SO FAR	28	MLB RAW	MIN	36	0	41	189	36	19	1	0%	1.1	19.0%	10.1%	9.0%	0.5%	5.66	3.06	+0.7
ROS	28	MLB MLE	MIN	6	0	6	27	6	3	1	0%	1.1	22.1%	9.9%	12.2%	2.8%	3.81	3.99	+0.0
ROS	28	MLB CTX	MIN	6	0	6	25	6	2	1	0%	1.0	22.1%	9.9%	12.2%	2.8%	3.81	3.99	+0.0
2026 TOT	28	MLB MLE	MIN	—	—	68	287	58	24	5	—	—	20.2%	8.2%	12.0%	1.7%	4.48	3.47	+0.9
FULL	28	MLB A+C	MIN	—	—	48	201	58	24	5	—	—	28.8%	11.7%	17.0%	2.4%	6.36	3.45	+0.6
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	MIN	69	0	72	304	67	32	7	0%	1.0	22.1%	10.6%	11.5%	2.4%	4.16	4.30	+0.2
2028	30	MLB MLE	MIN	64	0	68	286	61	31	8	0%	1.1	21.5%	10.8%	10.7%	2.7%	4.37	4.51	+0.0
2027	29	MLB CTX	MIN	65	0	68	287	63	31	7	0%	1.0	22.1%	10.6%	11.5%	2.4%	4.16	4.30	+0.2
2028	30	MLB CTX	MIN	61	0	64	270	58	29	7	0%	1.0	21.5%	10.8%	10.7%	2.7%	4.37	4.51	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		203	0	224	965	205	102	21	0%	1.1	21.2%	10.5%	10.7%	2.2%	4.41	3.84	+1.9
/ 200 IP	—	RAW		182	0	200	863	183	91	19	0%	1.1	21.2%	10.5%	10.7%	2.2%	4.41	3.84	+1.7
Career	—	MLE		261	1	356	1501	374	144	45	0%	1.4	24.9%	9.6%	15.3%	3.0%	3.94	3.86	+1.3
/ 200 IP	—	MLE		147	1	200	843	210	81	25	0%	1.4	24.9%	9.6%	15.3%	3.0%	3.94	3.86	+1.1

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
Eric Orze (OGILVIE)	—	—	4.31	24.8%	10.8%	2.8%	—	4.40	21.8%	11.1%	140	+0.09	—	—	—
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	87
Cody Satterwhite R 2015 · 3.71 FIP	28	SU	3.71	20.2%	9.8%	1.9%	.333	4.04	17.7%	10.2%	75	+0.33	3.69	147	86
Jaye Chapman R 2015 · 3.32 FIP	28	SU	3.32	21.6%	8.5%	1.8%	.276	4.08	20.3%	11.3%	85	+0.76	3.25	150	86
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	86
Ryan Tepera R 2016 · 3.11 FIP	28	SU	3.11	22.6%	8.9%	1.4%	.266	3.81	24.3%	15.9%	164	+0.70	2.35	445	86
Chaz Roe R 2015 · 3.14 FIP	28	SU	3.14	20.7%	8.4%	1.3%	.300	2.73	28.4%	20.7%	140	-0.41	1.72	257	84
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	84
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	84
Blake Treinen R 2016 · 3.32 FIP	28	SU	3.32	24.0%	9.5%	1.9%	.271	3.04	26.0%	17.7%	215	-0.28	1.53	547	83
Dalier Hinojosa R 2015 · 3.41 FIP	29	SU	3.41	20.4%	9.8%	1.4%	.283	4.30	18.7%	6.1%	24	+0.89	3.41	104	83
Grant Sides R 2016 · 3.83 FIP	27	SU	3.83	22.4%	11.9%	2.0%	.247	3.31	21.7%	11.9%	47	-0.52	3.31	159	83
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	83
Michael Mariot R 2017 · 3.51 FIP	28	SU	3.51	22.6%	9.0%	2.1%	.327	4.79	20.9%	11.8%	74	+1.28	2.40	676	83
Sam Dyson R 2016 · 3.42 FIP	28	SU	3.42	19.3%	8.1%	1.7%	.287	3.76	18.9%	11.9%	187	+0.34	2.66	333	82
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	82
A.J. Schugel R 2017 · 4.01 FIP	28	SU	4.01	20.1%	8.1%	2.9%	.307	6.37	17.6%	10.6%	13	+2.36	2.80	299	82
Michael Dimock R 2018 · 3.37 FIP	28	SU	3.37	23.5%	10.7%	1.6%	.346	—	—	—	—	—	3.08	166	82
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	82
Andrew Robinson R 2016 · 3.19 FIP	28	SU	3.19	22.2%	7.9%	1.8%	.247	4.32	23.4%	14.6%	39	+1.13	3.19	160	82
Javy Guerra R 2016 · 4.29 FIP	30	SU	4.29	21.3%	13.9%	2.3%	.303	3.95	19.5%	13.0%	193	-0.34	2.95	260	82

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	70	22.8%	10.7%	1.03	4.22
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
Archie Bradley ('21)	2.2	74	23.2%	9.8%	0.85	3.93
Cory Gearrin ('19)	1.1	57	21.5%	9.8%	0.79	3.42
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19