Anthony Nunez — OGILVIE

Anthony Nunez P Baltimore Orioles

Age 25 RHP 6'2" / 220 lbs MLB Svc 0.0 · Ctrl thru 2031 peak 0.5 · 2026

2026 ROS PROJECTION68 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 9890vR 82

ERA3.41

FIP3.41

K%28.8%

BB%10.3%

K-BB%18.6%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 74 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—50

STUF6060

CTRL4040

CMD5050

K†7070

Statcast Percentiles

FB Velo

p7296.1

Whiff%

p9033.7%

p7426.6%

xwOBA vs

p610.301

SL+2.5 (30%)

CH+2.2 (22%)

SI (12%)

FB-0.8 (42%)

CT-1.4 (6%)

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2026

Service 0.000 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Pre-Arb	$0.1M	+0.1	$0.4M	+$0.3M
2027	Pre-Arb	$0.8M	+0.7	$3M	+$2M
2028	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2029	Arb-1	$2M	+0.5	$2M	+$0.5M
2030	Arb-2	$2M	+0.3	$0.9M	+$0.0M (cut)
2031	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$7M	+$4M

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)
2024	23	MIX MLE	2 levels	9	1	10	42	12	5	0	11%	1.1	28.6%	11.9%	16.7%	0.0%	2.70	2.20	—
2024	23	MIX MLE	2 levels	9	1	10	42	12	5	0	11%	1.1	28.6%	11.9%	16.7%	0.0%	2.70	2.20	—
2024	23	MIX RAW	2 levels	9	1	10	42	12	5	0	11%	1.1	28.6%	11.9%	16.7%	0.0%	2.70	2.20	—
2025	24	MIX MLE	3 levels	49	0	57	220	83	22	2	0%	1.2	30.3%	10.5%	19.8%	1.1%	2.06	2.46	—
2025	24	MIX MLE	3 levels	49	0	57	220	83	22	2	0%	1.2	30.3%	10.5%	19.8%	1.1%	2.06	2.46	—
2025	24	MIX RAW	3 levels	49	0	57	220	83	22	2	0%	1.2	37.7%	10.0%	27.7%	0.9%	2.06	1.79	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			47	0	55	237	63	24	5	0%	1.2	26.6%	10.1%	16.5%	2.1%	4.07	3.30	+0.8
▸ 2026 season
YTD	25	MLB MLE	Baltimore Orioles	58	0	68	294	84	30	7	0%	1.2	27.4%	10.0%	17.4%	2.4%	4.21	3.36	+1.0
YTD	25	MLB MLE	Baltimore Orioles	58	0	68	294	84	30	7	0%	1.2	27.4%	10.0%	17.4%	2.4%	4.21	3.36	+1.0
▸ 2026 season — so far · projected rest · full
2026	25	AAA RAW	BAL	11	0	13	57	21	6	2	0%	1.2	36.8%	10.5%	26.3%	3.5%	4.85	3.25	—
2026	25	MLB RAW	BAL	47	0	55	237	63	24	5	0%	1.2	26.6%	10.1%	16.5%	2.1%	4.07	3.30	+0.8
SO FAR	25	MLB RAW	BAL	47	0	55	237	63	24	5	0%	1.2	26.6%	10.1%	16.5%	2.1%	4.07	3.30	+0.8
ROS	25	MLB MLE	BAL	6	0	6	25	7	3	1	0%	1.0	28.8%	10.3%	18.6%	2.6%	3.41	3.41	+0.1
ROS	25	MLB CTX	BAL	6	0	6	25	7	3	1	0%	1.0	28.8%	10.3%	18.6%	2.7%	3.47	3.47	+0.1
2026 TOT	25	MLB MLE	BAL	—	—	74	319	91	33	8	—	—	28.6%	10.2%	18.4%	2.4%	4.15	3.36	+1.2
FULL	25	MLB A+C	BAL	—	—	61	258	91	33	8	—	—	35.3%	12.6%	22.7%	3.0%	5.04	3.35	+0.9
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	BAL	69	0	72	304	86	31	8	0%	1.0	28.4%	10.2%	18.3%	2.5%	3.76	3.75	+0.7
2028	27	MLB MLE	BAL	68	0	71	299	84	30	8	0%	1.0	28.1%	10.2%	17.9%	2.6%	3.82	3.83	+0.6
2029	28	MLB MLE	BAL	66	0	69	290	80	30	8	0%	1.0	27.7%	10.2%	17.4%	2.7%	3.90	3.94	+0.5
2030	29	MLB MLE	BAL	63	0	66	277	76	29	8	0%	1.0	27.4%	10.4%	16.9%	2.9%	4.01	4.08	+0.4
2031	30	MLB MLE	BAL	59	0	62	261	70	28	8	0%	1.0	27.0%	10.8%	16.3%	3.1%	4.16	4.26	+0.2
2027	26	MLB CTX	BAL	65	0	68	287	82	29	8	0%	1.0	28.4%	10.2%	18.3%	2.6%	3.82	3.81	+0.7
2028	27	MLB CTX	BAL	64	0	67	283	79	29	8	0%	1.0	28.1%	10.2%	17.9%	2.7%	3.88	3.89	+0.6
2029	28	MLB CTX	BAL	62	0	65	274	76	28	8	0%	1.0	27.7%	10.2%	17.4%	2.9%	3.97	4.01	+0.5
2030	29	MLB CTX	BAL	59	0	62	262	72	27	8	0%	1.1	27.4%	10.4%	16.9%	3.0%	4.08	4.15	+0.3
2031	30	MLB CTX	BAL	56	0	59	249	67	27	8	0%	1.1	27.0%	10.8%	16.3%	3.2%	4.24	4.34	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		359	0	383	1622	447	167	45	0%	1.1	27.6%	10.3%	17.3%	2.8%	3.99	3.60	+4.3
/ 200 IP	—	RAW		188	0	200	846	233	87	23	0%	1.1	27.6%	10.3%	17.3%	2.8%	3.99	3.60	+2.3
Career	—	MLE		116	1	135	556	159	58	9	1%	1.2	28.6%	10.4%	18.3%	1.7%	3.20	2.91	+3.3
/ 200 IP	—	MLE		172	1	200	824	236	85	14	1%	1.2	28.6%	10.4%	18.3%	1.7%	3.20	2.91	+1.6

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
Anthony Nunez (OGILVIE)	—	—	3.68	30.5%	10.4%	2.7%	—	3.84	28.1%	17.9%	212	+0.16	—	—	—
Arodys Vizcaíno R 2016 · 3.36 FIP	25	SU	3.36	27.5%	12.6%	1.8%	.321	3.49	26.4%	17.8%	96	+0.13	2.28	183	82
J.B. Wendelken R 2018 · 3.31 FIP	25	SU	3.31	29.5%	9.5%	2.7%	.286	3.78	23.3%	14.1%	140	+0.47	3.08	393	81
Isaiah Campbell R 2023 · 3.35 FIP	25	SU	3.35	25.5%	9.2%	2.3%	.273	4.07	18.3%	11.8%	126	+0.72	3.31	244	81
Steven Wilson R 2019 · 3.99 FIP	24	SU	3.99	27.2%	10.7%	3.3%	.271	3.81	29.3%	19.9%	92	-0.18	3.64	328	81
Spencer Patton R 2015 · 3.47 FIP	27	SU	3.47	26.8%	9.6%	2.6%	.295	2.79	30.3%	18.1%	57	-0.68	2.79	239	80
Joey Krehbiel R 2018 · 4.35 FIP	25	SU	4.35	26.1%	10.1%	4.0%	.294	5.37	21.6%	10.9%	107	+1.02	3.34	556	80
John Schreiber R 2019 · 3.41 FIP	25	SU	3.41	27.1%	8.8%	2.7%	.273	2.78	24.1%	15.9%	147	-0.63	1.27	545	79
Chad Sobotka R 2018 · 2.87 FIP	25	SU	2.87	29.4%	11.9%	1.4%	.206	4.35	23.2%	11.1%	89	+1.48	2.87	278	79
Daniel Hudson R 2015 · 3.35 FIP	28	SU	3.35	24.5%	7.9%	2.4%	.302	3.78	22.8%	13.6%	168	+0.43	1.68	468	79
Nick Robertson R 2023 · 3.38 FIP	25	SU	3.38	26.4%	6.7%	3.0%	.325	4.03	21.9%	11.9%	158	+0.65	3.11	337	78
Hansel Robles R 2016 · 3.32 FIP	25	SU	3.32	25.7%	9.7%	2.1%	.300	3.97	24.2%	15.3%	209	+0.65	2.67	469	77
Bruce Rondón R 2016 · 3.36 FIP	25	SU	3.36	29.0%	10.0%	2.6%	.284	3.41	25.1%	10.5%	82	+0.05	3.31	184	77
Diego Castillo R 2019 · 3.26 FIP	25	SU	3.26	27.9%	7.6%	2.8%	.285	3.54	27.8%	19.8%	134	+0.28	2.38	524	77
Lucas Wepf R 2023 · 3.62 FIP	23	SU	3.62	27.6%	10.7%	2.7%	.323	3.97	26.2%	13.8%	136	+0.35	2.90	195	76
Jordan Leasure R 2023 · 4.45 FIP	24	SU	4.45	31.3%	11.5%	4.6%	.295	4.98	25.7%	14.7%	114	+0.53	4.33	212	76
Dominic Leone R 2017 · 2.74 FIP	25	SU	2.74	29.0%	7.2%	2.1%	.262	4.25	26.2%	16.6%	96	+1.51	2.74	447	76
Trevor Gott R 2018 · 3.43 FIP	25	SU	3.43	23.7%	8.0%	2.4%	.285	4.01	25.5%	16.4%	106	+0.58	2.71	455	76
Kyle Crick R 2018 · 2.64 FIP	25	SU	2.64	25.5%	7.8%	1.3%	.251	4.80	24.5%	8.6%	73	+2.16	2.64	383	76
Justin Sterner R 2022 · 4.46 FIP	25	SU	4.46	26.5%	9.6%	4.3%	.266	4.35	25.8%	18.1%	166	-0.11	3.90	294	76
Justin Anderson R 2018 · 3.37 FIP	25	SU	3.37	27.8%	15.4%	1.2%	.291	4.12	27.6%	12.9%	47	+0.75	3.22	587	75

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	2.1	69	28.2%	10.4%	1.06	3.88
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
Joe Jiménez ('24)	1.9	53	29.8%	8.6%	1.11	4.06
Cam Bedrosian ('21)	1.3	45	24.5%	10.0%	0.97	3.68
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Diego Castillo ('22)	1.3	52	28.1%	8.9%	1.07	3.12