Juan Nunez — OGILVIE

Juan Nunez P New Hampshire Fisher Cats

Age 30 RHP 6'2" / 185 lbs AA

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 127119vR 111

ERA4.93

FIP4.93

K%24.4%

BB%15.0%

K-BB%9.4%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†6060

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)
2015	19	ROK MLE	GCL Blue Jays	20	6	40	178	30	20	0	30%	2.0	11.5%	14.0%	-2.6%	0.0%	4.69	3.91	—
2015	19	ROK RAW	GCL Blue Jays	20	6	40	178	30	20	0	30%	2.0	16.9%	11.2%	5.6%	0.0%	4.69	3.10	—
2019	23	A MLE	Lansing Lugnuts	16	0	22	97	27	8	5	0%	1.4	20.6%	9.7%	10.9%	6.0%	5.40	5.90	—
2019	23	A RAW	Lansing Lugnuts	16	0	22	97	27	8	5	0%	1.4	27.8%	8.2%	19.6%	5.2%	5.40	4.72	—
2022	26	MIX MLE	3 levels	36	0	43	185	60	31	8	0%	1.2	25.0%	19.1%	5.9%	5.6%	3.80	6.50	—
2022	26	MIX RAW	3 levels	36	0	43	185	60	31	8	0%	1.2	32.4%	16.8%	15.7%	4.3%	3.80	4.90	—
2023	27	MIX MLE	2 levels	35	0	42	197	65	42	2	0%	1.2	26.1%	24.0%	2.1%	1.3%	3.83	4.66	—
2023	27	MIX MLE	2 levels	35	0	42	197	65	42	2	0%	1.2	26.1%	24.0%	2.1%	1.3%	3.83	4.66	—
2023	27	MIX RAW	2 levels	35	0	42	197	65	42	2	0%	1.2	33.0%	21.3%	11.7%	1.0%	3.83	3.62	—
2024	28	MIX MLE	2 levels	14	0	18	84	22	12	2	0%	1.3	26.2%	14.3%	11.9%	2.4%	2.95	4.00	—
2024	28	MIX MLE	2 levels	14	0	18	84	22	12	2	0%	1.3	26.2%	14.3%	11.9%	2.4%	2.95	4.00	—
2024	28	MIX RAW	2 levels	14	0	18	84	22	12	2	0%	1.3	26.2%	14.3%	11.9%	2.4%	2.95	4.08	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	TOR	2	0	2	8	2	1	0	0%	1.0	24.4%	15.0%	9.4%	2.9%	4.93	4.93	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	TOR	20	0	21	90	21	13	3	0%	1.1	23.9%	14.8%	9.1%	3.2%	4.99	5.07	-0.1
2027	31	MLB CTX	TOR	7	0	7	30	7	4	1	0%	1.0	23.9%	14.8%	9.1%	3.2%	4.99	5.07	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	7	28	7	4	1	0%	1.1	23.9%	14.8%	9.1%	3.2%	4.99	4.69	-0.0
/ 200 IP	—	RAW		190	0	200	844	211	121	30	0%	1.1	23.9%	14.8%	9.1%	3.2%	4.99	4.69	-0.3
Career	—	MLE		121	6	165	741	160	129	21	5%	1.4	21.6%	17.4%	4.2%	2.8%	4.14	5.03	-0.1
/ 200 IP	—	MLE		146	7	200	896	194	156	25	5%	1.4	21.6%	17.4%	4.2%	2.8%	4.14	5.03	-1.2

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
Juan Nunez (OGILVIE)	—	—	4.93	24.4%	15.0%	2.9%	—	5.07	23.9%	9.1%	21	+0.14	—	—	—
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	85
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	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
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	80
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	78
Cody Hall R 2018 · 3.92 FIP	30	SU	3.92	25.9%	17.5%	1.5%	.244	—	—	—	—	—	3.51	134	77
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	76
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	73
J.J. Hoover R 2017 · 4.32 FIP	29	SU	4.32	27.4%	12.7%	3.5%	.360	6.40	17.2%	8.0%	96	+2.08	4.22	258	72
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	72
Daniel Hudson R 2017 · 4.07 FIP	30	SU	4.07	24.4%	11.8%	2.8%	.301	4.01	24.1%	15.2%	140	-0.06	1.68	468	72
AJ Ramos R 2017 · 3.86 FIP	30	SU	3.86	27.9%	12.8%	2.7%	.288	5.02	25.0%	8.0%	20	+1.16	2.55	266	71
Taylor Williams R 2021 · 5.96 FIP	30	SU	5.96	19.9%	14.1%	5.0%	.261	3.81	18.7%	8.9%	101	-2.15	2.51	309	71
Dalier Hinojosa R 2016 · 4.30 FIP	30	SU	4.30	18.7%	12.6%	2.2%	.329	—	—	—	—	—	3.41	104	70
Roman Mendez R 2019 · 4.42 FIP	29	SU	4.42	20.8%	11.1%	3.0%	.276	—	—	—	—	—	4.12	230	70
Blake Wood R 2016 · 3.76 FIP	30	SU	3.76	24.5%	10.6%	2.5%	.307	3.44	25.3%	16.0%	74	-0.32	2.92	210	70
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	70
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	70
Louis Coleman R 2016 · 3.87 FIP	30	SU	3.87	21.3%	10.4%	2.3%	.288	3.63	22.0%	10.9%	144	-0.24	3.10	256	69
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	69