Dedniel Núñez — OGILVIE

Dedniel Núñez P New York Mets

Age 30 RHP 6'2" / 180 lbs MLB peak 0.5 · 2026

2026 ROS PROJECTION27 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 8779vR 71

ERA2.70

FIP2.84

K%29.3%

BB%4.7%

K-BB%24.6%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 31 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF7070

CTRL6060

CMD8080

K†7070

Statcast Percentiles

FB Velo

p7796.4

Whiff%

p9037.0%

p6024.1%

xwOBA vs

p590.303

SL+1.2 (46%)

FB+1.1 (52%)

CH-1.4 (2%)

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)
2017	21	ROK MLE	GCL Mets	10	8	45	203	46	16	3	80%	4.5	15.4%	9.9%	5.6%	2.1%	5.24	4.18	—
2017	21	ROK RAW	GCL Mets	10	8	45	203	46	16	3	80%	4.5	22.7%	7.9%	14.8%	1.5%	5.24	2.99	—
2018	22	ROK MLE	Kingsport Mets	11	7	40	173	36	16	2	64%	3.7	14.2%	11.6%	2.6%	1.6%	3.79	4.26	—
2018	22	ROK RAW	Kingsport Mets	11	7	40	173	36	16	2	64%	3.7	20.8%	9.2%	11.6%	1.2%	3.79	3.15	—
2019	23	MIX MLE	2 levels	16	15	80	338	94	23	5	94%	5.0	21.1%	7.9%	13.3%	1.8%	4.39	3.30	—
2019	23	MIX RAW	2 levels	16	15	80	338	94	23	5	94%	5.0	27.8%	6.8%	21.0%	1.5%	4.39	2.42	—
2022	26	MIX MLE	2 levels	26	0	33	152	49	13	4	0%	1.3	25.8%	10.6%	15.2%	4.0%	3.00	4.44	—
2022	26	MIX RAW	2 levels	26	0	33	152	49	13	4	0%	1.3	32.2%	8.6%	23.7%	2.6%	3.00	2.89	—
2023	27	MIX MLE	2 levels	40	0	57	261	70	30	9	0%	1.4	22.1%	10.6%	11.5%	3.9%	5.53	4.69	—
2023	27	MIX MLE	2 levels	40	0	57	261	70	30	9	0%	1.4	22.1%	10.6%	11.5%	3.9%	5.53	4.69	—
2023	27	MIX RAW	2 levels	40	0	57	261	70	30	9	0%	1.4	26.8%	11.5%	15.3%	3.4%	5.53	4.28	—
2024	28	MIX MLE	2 levels	39	0	49	190	69	12	3	0%	1.3	34.4%	6.1%	28.4%	1.6%	2.02	1.83	+1.6
2024	28	MIX MLE	2 levels	39	0	49	190	69	12	3	0%	1.3	34.4%	6.1%	28.4%	1.6%	2.02	1.83	+1.6
2024	28	MIX RAW	2 levels	39	0	49	190	69	12	3	0%	1.3	36.3%	6.3%	30.0%	1.6%	2.02	1.81	+1.6
2025	29	MIX MLE	2 levels	29	2	29	130	32	16	3	7%	1.0	19.6%	10.1%	9.5%	2.1%	4.08	3.89	+0.2
2025	29	MIX MLE	2 levels	29	2	29	130	32	16	3	7%	1.0	19.6%	10.1%	9.5%	2.1%	4.08	3.89	+0.2
2025	29	MIX RAW	2 levels	29	2	29	130	32	16	3	7%	1.0	24.6%	12.3%	12.3%	2.3%	4.08	3.90	+0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			48	0	58	230	72	13	7	0%	1.2	31.3%	5.7%	25.7%	3.0%	3.09	2.86	+1.2
▸ 2026 season
YTD	30	MLB MLE	New York Mets	26	1	27	111	27	5	4	4%	1.0	24.1%	0.0%	24.1%	5.6%	4.05	4.12	+0.1
YTD	30	MLB MLE	New York Mets	26	1	27	111	27	5	4	4%	1.0	24.1%	0.0%	24.1%	5.6%	4.05	4.12	+0.1
▸ 2026 season — so far · projected rest · full
2026	30	ROK RAW	NYM	1	0	0	4	1	0	1	0%	0.3	25.0%	0.0%	25.0%	25.0%	54.00	14.71	—
2026	30	A RAW	NYM	2	1	2	10	3	0	0	50%	0.8	30.0%	0.0%	30.0%	0.0%	5.40	0.57	—
2026	30	AA RAW	NYM	2	0	2	7	1	0	0	0%	1.0	14.3%	0.0%	14.3%	0.0%	0.00	1.89	—
2026	30	AAA RAW	NYM	8	0	9	36	9	5	0	0%	1.1	25.0%	13.9%	11.1%	0.0%	3.00	2.75	—
2026	30	MLB RAW	NYM	13	0	14	54	13	0	3	0%	1.1	24.1%	0.0%	24.1%	5.6%	3.95	4.12	+0.1
SO FAR	30	MLB RAW	NYM	13	0	14	54	13	0	3	0%	1.1	24.1%	0.0%	24.1%	5.6%	3.95	4.12	+0.1
ROS	30	MLB MLE	NYM	5	0	5	20	6	1	1	0%	1.0	29.3%	4.7%	24.6%	2.9%	2.70	2.84	+0.1
ROS	30	MLB CTX	NYM	5	0	5	21	6	1	1	0%	1.0	29.3%	4.7%	24.6%	2.9%	2.70	2.84	+0.1
2026 TOT	30	MLB MLE	NYM	—	—	31	131	33	6	5	—	—	25.1%	4.5%	20.6%	3.5%	3.84	3.93	+0.2
FULL	30	MLB A+C	NYM	—	—	18	78	33	6	5	—	—	42.3%	7.6%	34.6%	5.9%	6.55	3.74	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	NYM	47	0	49	207	59	12	7	0%	1.0	28.4%	5.6%	22.9%	3.3%	3.47	3.62	+0.6
2028	32	MLB MLE	NYM	43	0	45	192	52	12	7	0%	1.1	27.2%	6.2%	21.0%	3.6%	3.77	3.93	+0.3
2029	33	MLB MLE	NYM	40	0	42	176	46	12	7	0%	1.0	26.2%	6.8%	19.4%	3.8%	4.05	4.23	+0.2
2027	31	MLB CTX	NYM	45	0	47	198	56	11	7	0%	1.0	28.4%	5.6%	22.9%	3.3%	3.47	3.62	+0.5
2028	32	MLB CTX	NYM	41	0	43	182	49	11	6	0%	1.0	27.2%	6.2%	21.0%	3.6%	3.77	3.93	+0.3
2029	33	MLB CTX	NYM	38	0	40	169	44	12	6	0%	1.1	26.2%	6.8%	19.4%	3.8%	4.05	4.23	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		176	0	193	797	227	48	27	0%	1.1	28.5%	6.0%	22.5%	3.4%	3.52	3.31	+2.8
/ 200 IP	—	RAW		183	0	200	828	236	50	28	0%	1.1	28.5%	6.0%	22.5%	3.4%	3.52	3.31	+2.9
Career	—	MLE		197	33	359	1558	342	135	41	17%	1.8	21.9%	8.7%	13.3%	2.6%	4.11	3.79	+2.3
/ 200 IP	—	MLE		110	18	200	867	190	75	23	17%	1.8	21.9%	8.7%	13.3%	2.6%	4.11	3.79	+2.3

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
Dedniel Núñez (OGILVIE)	—	—	3.15	30.9%	5.5%	2.9%	—	3.91	27.3%	21.2%	136	+0.76	—	—	—
Josh Lueke R 2015 · 2.29 FIP	30	SU	2.29	30.0%	4.1%	2.2%	.264	—	—	—	—	—	2.29	107	75
Mark Lowe R 2015 · 2.37 FIP	32	SU	2.37	28.4%	5.1%	1.9%	.302	5.22	19.2%	9.9%	98	+2.85	2.37	153	74
Adam Ottavino R 2016 · 2.53 FIP	30	SU	2.53	32.7%	6.5%	2.5%	.242	3.05	31.7%	19.3%	197	+0.52	2.10	488	74
Chris Hatcher R 2015 · 2.92 FIP	30	SU	2.92	27.1%	6.6%	2.3%	.292	4.67	22.6%	14.0%	137	+1.75	2.92	176	73
Shawn Kelley R 2015 · 2.23 FIP	31	SU	2.23	30.7%	5.4%	1.9%	.291	4.09	29.3%	24.4%	133	+1.86	2.23	232	69
Mitch Lively R 2016 · 2.39 FIP	30	SU	2.39	23.7%	4.4%	1.3%	.281	3.47	17.0%	10.6%	75	+1.08	2.39	158	67
David Robertson R 2015 · 2.26 FIP	30	SU	2.26	34.4%	4.4%	2.8%	.267	2.67	32.6%	23.9%	200	+0.41	2.00	494	67
Junichi Tazawa R 2016 · 4.14 FIP	30	SU	4.14	26.0%	6.2%	4.4%	.288	4.74	17.7%	9.1%	118	+0.60	2.94	227	67
Rubby De La Rosa R 2019 · 4.21 FIP	30	SU	4.21	27.7%	8.0%	4.4%	.269	—	—	—	—	—	4.04	281	67
Jumbo Diaz R 2015 · 3.16 FIP	31	SU	3.16	25.2%	6.0%	2.6%	.286	3.65	21.9%	12.2%	152	+0.49	2.80	284	67
Fernando Salas R 2015 · 2.71 FIP	30	SU	2.71	27.5%	2.6%	2.9%	.294	3.95	20.7%	14.7%	172	+1.24	2.71	288	67
Josh Fields R 2016 · 2.41 FIP	30	SU	2.41	26.2%	5.9%	1.4%	.341	4.53	23.5%	16.5%	123	+2.12	1.90	238	67
Jon Edwards R 2018 · 2.40 FIP	30	SU	2.40	30.3%	7.7%	1.6%	.304	4.43	25.1%	13.5%	49	+2.03	2.40	132	66
Kaleb Fleck R 2018 · 3.47 FIP	29	SU	3.47	24.6%	5.9%	3.1%	.346	—	—	—	—	—	2.68	177	65
Nate Jones R 2016 · 2.57 FIP	30	SU	2.57	29.2%	4.4%	2.5%	.234	4.09	23.4%	12.5%	30	+1.52	2.57	157	65
Matt Bush R 2016 · 2.87 FIP	30	SU	2.87	24.7%	6.0%	2.0%	.232	3.94	22.2%	12.7%	75	+1.07	2.87	249	64
Brad Brach R 2016 · 2.69 FIP	30	SU	2.69	29.6%	7.7%	2.0%	.266	3.41	23.7%	13.8%	185	+0.72	2.69	410	64
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	63
Francisco Rodríguez R 2015 · 2.71 FIP	33	SU	2.71	28.7%	4.6%	2.6%	.232	4.72	21.3%	12.8%	84	+2.01	2.71	141	63
Ryan Pressly R 2019 · 2.54 FIP	30	SU	2.54	34.1%	5.7%	2.9%	.256	2.10	33.5%	27.6%	133	-0.44	1.88	586	63

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	47	28.3%	6.0%	1.30	3.54
Sean Doolittle ('21)	1.2	49	28.7%	6.2%	1.18	3.31
Giovanny Gallegos ('24)	1.5	52	29.4%	6.6%	1.19	3.46
Blake Parker ('21)	1.2	60	26.6%	7.3%	1.40	3.36
Erik Swanson ('24)	1.3	51	26.2%	6.5%	1.57	3.70
Richard Rodríguez ('21)	1.1	56	25.0%	6.3%	1.21	3.00
Chris Devenski ('24)	1.9	62	26.0%	6.9%	1.25	3.61