Daniel Hudson — OGILVIE

Daniel Hudson P Los Angeles Dodgers

Age 39 RHP 6'3" / 215 lbs MLB peak 0.3 · 2026

2026 ROS PROJECTION0 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10799vR 91

ERA3.96

FIP4.05

K%25.9%

BB%7.4%

K-BB%18.5%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6565

CTRL5555

CMD5555

K†6060

Statcast Percentiles

FB Velo

p5895.1

Whiff%

p9032.3%

p6524.9%

xwOBA vs

p570.305

SL+3.8 (41%)

FB+1.2 (55%)

SI (5%)

CH-0.9 (4%)

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	28	MLB MLE	Arizona Diamondbacks	64	1	68	290	71	23	7	2%	1.1	24.5%	7.9%	16.6%	2.4%	3.86	3.35	+1.0
2015	28	MLB RAW	Arizona Diamondbacks	64	1	68	290	71	23	7	2%	1.1	24.5%	7.9%	16.6%	2.4%	3.86	3.37	+1.0
2016	29	MLB MLE	Arizona Diamondbacks	70	0	60	268	58	19	6	0%	0.9	21.6%	7.1%	14.6%	2.2%	5.22	3.39	+0.8
2016	29	MLB RAW	Arizona Diamondbacks	70	0	60	268	58	19	6	0%	0.9	21.6%	7.1%	14.6%	2.2%	5.22	3.41	+0.8
2017	30	MLB MLE	Pittsburgh Pirates	71	0	62	271	66	32	7	0%	0.9	24.4%	11.8%	12.5%	2.8%	4.38	4.07	+0.3
2017	30	MLB RAW	Pittsburgh Pirates	71	0	62	271	66	32	7	0%	0.9	24.4%	11.8%	12.5%	2.6%	4.38	3.99	+0.4
2018	31	MIX MLE	2 levels	45	1	51	215	49	21	6	2%	1.1	22.3%	8.6%	13.7%	2.9%	3.73	3.91	+0.4
2018	31	MIX RAW	2 levels	45	1	51	215	49	21	6	2%	1.1	22.8%	9.8%	13.0%	2.8%	3.73	3.95	+0.4
2019	32	MLB MLE	Washington Nationals	69	1	73	304	71	25	8	1%	1.1	23.4%	8.2%	15.1%	2.6%	2.47	3.61	+0.8
2019	32	MLB RAW	Washington Nationals	69	1	73	304	71	25	8	1%	1.1	23.4%	8.2%	15.1%	2.6%	2.47	3.61	+0.8
2020	33	MLB MLE	Washington Nationals	21	0	21	92	28	11	6	0%	1.0	30.4%	12.0%	18.5%	6.5%	6.10	5.62	-0.3
2020	33	MLB RAW	Washington Nationals	21	0	21	92	28	11	6	0%	1.0	30.4%	12.0%	18.5%	6.5%	6.10	5.76	-0.3
2021	34	MLB MLE	San Diego Padres	54	0	52	210	75	15	8	0%	1.0	35.7%	7.1%	28.6%	3.7%	3.31	3.03	+0.9
2021	34	MLB RAW	San Diego Padres	54	0	52	210	75	15	8	0%	1.0	35.7%	7.1%	28.6%	3.8%	3.31	3.08	+0.9
2022	35	MLB MLE	Los Angeles Dodgers	25	0	24	97	30	5	1	0%	1.0	30.9%	5.2%	25.8%	1.0%	2.22	1.68	+0.8
2022	35	MLB RAW	Los Angeles Dodgers	25	0	24	97	30	5	1	0%	1.0	30.9%	5.2%	25.8%	1.0%	2.22	1.78	+0.8
2023	36	MIX MLE	3 levels	11	6	11	41	18	4	0	55%	1.0	43.9%	9.8%	34.1%	0.0%	0.00	0.63	+0.6
2023	36	MIX MLE	3 levels	11	6	11	41	18	4	0	55%	1.0	43.9%	9.8%	34.1%	0.0%	0.00	0.63	+0.6
2023	36	MIX RAW	3 levels	11	6	11	41	18	4	0	55%	1.0	43.9%	9.8%	34.1%	0.0%	0.00	0.98	+0.5
2024	37	MLB MLE	Los Angeles Dodgers	65	0	63	253	63	18	10	0%	1.0	24.9%	7.1%	17.8%	3.8%	3.00	3.98	+0.4
2024	37	MLB MLE	Los Angeles Dodgers	65	0	63	253	63	18	10	0%	1.0	24.9%	7.1%	17.8%	3.8%	3.00	3.98	+0.4
2024	37	MLB RAW	Los Angeles Dodgers	65	0	63	253	63	18	10	0%	1.0	24.9%	7.1%	17.8%	4.0%	3.00	4.02	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			482	3	471	1996	511	168	59	1%	1.0	25.6%	8.4%	17.2%	3.0%	3.72	3.63	+5.2
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	39	MLB	LAD	5	0	5	21	5	2	1	0%	1.0	25.9%	7.4%	18.5%	3.3%	3.96	4.05	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	40	MLB MLE	LAD	48	0	50	211	52	17	8	0%	1.0	24.8%	8.1%	16.6%	3.8%	4.27	4.48	+0.0
2027	40	MLB CTX	LAD	48	0	50	211	52	17	8	0%	1.0	24.8%	8.1%	16.6%	3.8%	4.27	4.48	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		530	3	521	2207	563	185	67	1%	1.0	25.5%	8.4%	17.1%	3.0%	3.78	3.67	+5.4
/ 200 IP	—	RAW		203	1	200	847	216	71	26	1%	1.0	25.5%	8.4%	17.1%	3.0%	3.78	3.67	+2.1
Career	—	MLE		495	9	484	2041	528	171	59	2%	1.0	25.9%	8.4%	17.5%	2.9%	3.62	3.56	+5.2
/ 200 IP	—	MLE		204	4	200	843	218	70	24	2%	1.0	25.9%	8.4%	17.5%	2.9%	3.62	3.56	+2.0

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
Daniel Hudson (OGILVIE)	—	—	4.05	25.9%	7.4%	3.3%	—	4.48	24.8%	16.6%	50	+0.43	—	—	—
Fernando Rodney R 2016 · 3.43 FIP	39	SU	3.43	26.1%	12.0%	1.9%	.288	3.54	25.4%	14.2%	167	+0.11	2.69	295	75
Joaquín Benoit R 2016 · 3.72 FIP	39	SU	3.72	25.5%	11.3%	2.5%	.258	4.48	21.6%	11.7%	50	+0.76	3.58	164	74
Jason Grilli R 2016 · 4.13 FIP	39	SU	4.13	32.3%	12.4%	4.0%	.264	5.58	26.1%	16.3%	40	+1.45	2.05	133	65
Manny Acosta R 2019 · 3.08 FIP	38	SU	3.08	23.2%	13.3%	0.5%	.303	—	—	—	—	—	3.08	102	60
Darren O'Day R 2022 · 3.59 FIP	39	SU	3.59	27.7%	8.5%	3.2%	.281	—	—	—	—	—	2.01	215	54
Gaudencio Aguirre R 2015 · 3.25 FIP	42	SU	3.25	14.8%	8.6%	0.6%	.293	3.88	14.9%	6.8%	75	+0.63	3.25	123	53
Matt Belisle R 2018 · 4.60 FIP	38	SU	4.60	15.4%	6.2%	3.7%	.355	—	—	—	—	—	2.51	174	53
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	52
Peter Moylan R 2018 · 4.77 FIP	39	SU	4.77	17.8%	11.6%	3.1%	.322	—	—	—	—	—	3.11	174	50
Luis Ayala R 2017 · 4.00 FIP	39	SU	4.00	15.9%	11.7%	1.4%	.340	—	—	—	—	—	3.03	119	48
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	47
Daniel Bard R 2023 · 4.95 FIP	38	SU	4.95	20.3%	19.8%	1.9%	.224	—	—	—	—	—	2.56	200	47
Santiago Casilla R 2018 · 4.14 FIP	38	SU	4.14	16.8%	15.2%	1.0%	.248	—	—	—	—	—	3.50	219	45
Brad Ziegler R 2018 · 4.03 FIP	38	SU	4.03	16.4%	6.2%	2.8%	.276	—	—	—	—	—	2.63	257	39
Neal Cotts L 2017 · 3.21 FIP	37	SU	3.21	25.5%	8.0%	2.3%	.273	—	—	—	—	—	3.21	156	37
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	24
Ryan Vogelsong R 2016 · 4.79 FIP	39	SP-	4.79	16.7%	10.4%	3.2%	.270	—	—	—	—	—	4.45	217	23
Horacio Ramirez L 2019 · 4.65 FIP	39	SU	4.65	5.7%	6.0%	2.3%	.233	—	—	—	—	—	3.39	199	15

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	0.5	54	25.4%	7.7%	1.36	4.10
Adbert Alzolay ('23)	1.1	70	26.1%	7.0%	1.32	3.84
Colin Poche ('24)	1.0	52	27.0%	9.2%	1.34	3.63
Eli Morgan ('24)	1.3	66	23.8%	6.4%	1.46	3.97
Blake Parker ('21)	1.2	60	26.6%	7.3%	1.40	3.36
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Mike Mayers ('23)	1.2	47	24.3%	7.8%	1.50	4.47