Adam Ottavino — OGILVIE

Adam Ottavino P New York Yankees

Age 40 RHP 6'5" / 246 lbs MLB peak 0.4 · 2026

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

showingROS

wRC+ AGAINSTvL 10092vR 83

ERA3.80

FIP3.93

K%26.5%

BB%9.1%

K-BB%17.3%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL4545

CMD6060

K†6060

Statcast Percentiles

FB Velo

p3293.2

Whiff%

p5325.7%

p8528.6%

xwOBA vs

p820.281

SL (33%)

SI (36%)

CT (7%)

FB (60%)

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	29	MLB MLE	Colorado Rockies	10	0	10	35	13	2	0	0%	1.0	37.1%	5.7%	31.4%	0.0%	0.00	0.69	+0.5
2015	29	MLB RAW	Colorado Rockies	10	0	10	35	13	2	0	0%	1.0	37.1%	5.7%	31.4%	0.0%	0.00	1.16	+0.4
2016	30	MIX MLE	3 levels	44	0	35	144	47	12	4	0%	0.8	32.7%	6.5%	26.2%	2.5%	3.31	2.53	+0.9
2016	30	MIX RAW	3 levels	44	0	35	144	47	12	4	0%	0.8	32.6%	8.3%	24.3%	2.8%	3.31	2.93	+0.7
2017	31	MLB MLE	Colorado Rockies	63	0	53	243	63	37	8	0%	0.8	25.9%	15.2%	10.7%	2.9%	5.06	4.44	+0.1
2017	31	MLB RAW	Colorado Rockies	63	0	53	243	63	37	8	0%	0.8	25.9%	15.2%	10.7%	3.3%	5.06	4.77	-0.1
2018	32	MLB MLE	Colorado Rockies	75	0	78	309	112	31	5	0%	1.0	36.2%	10.0%	26.2%	1.4%	2.43	2.10	+2.3
2018	32	MLB RAW	Colorado Rockies	75	0	78	309	112	31	5	0%	1.0	36.2%	10.0%	26.2%	1.6%	2.43	2.25	+2.1
2019	33	MLB MLE	New York Yankees	73	0	66	283	88	37	5	0%	0.9	31.1%	13.1%	18.0%	1.7%	1.90	3.04	+1.2
2019	33	MLB RAW	New York Yankees	73	0	66	283	88	37	5	0%	0.9	31.1%	13.1%	18.0%	1.8%	1.90	3.10	+1.1
2020	34	MLB MLE	New York Yankees	24	0	18	85	25	9	2	0%	0.8	29.4%	10.6%	18.8%	2.2%	5.89	3.17	+0.3
2020	34	MLB RAW	New York Yankees	24	0	18	85	25	9	2	0%	0.8	29.4%	10.6%	18.8%	2.4%	5.89	3.26	+0.3
2021	35	MLB MLE	Boston Red Sox	69	0	62	276	71	33	5	0%	0.9	25.7%	12.0%	13.8%	1.9%	4.21	3.46	+0.8
2021	35	MLB RAW	Boston Red Sox	69	0	62	276	71	33	5	0%	0.9	25.7%	12.0%	13.8%	1.8%	4.21	3.45	+0.8
2022	36	MLB MLE	New York Mets	66	0	66	258	79	14	6	0%	1.0	30.6%	5.4%	25.2%	2.3%	2.06	2.48	+1.6
2022	36	MLB RAW	New York Mets	66	0	66	258	79	14	6	0%	1.0	30.6%	5.4%	25.2%	2.3%	2.06	2.52	+1.6
2023	37	MLB MLE	New York Mets	66	0	62	261	62	26	7	0%	0.9	23.8%	10.0%	13.8%	2.7%	3.21	3.83	+0.5
2023	37	MLB MLE	New York Mets	66	0	62	261	62	26	7	0%	0.9	23.8%	10.0%	13.8%	2.7%	3.21	3.83	+0.5
2023	37	MLB RAW	New York Mets	66	0	62	261	62	26	7	0%	0.9	23.8%	10.0%	13.8%	2.7%	3.21	3.83	+0.5
2024	38	MLB MLE	New York Mets	60	0	56	245	70	22	6	0%	0.9	28.6%	9.0%	19.6%	2.5%	4.34	3.17	+0.9
2024	38	MLB MLE	New York Mets	60	0	56	245	70	22	6	0%	0.9	28.6%	9.0%	19.6%	2.5%	4.34	3.17	+0.9
2024	38	MLB RAW	New York Mets	60	0	56	245	70	22	6	0%	0.9	28.6%	9.0%	19.6%	2.4%	4.34	3.17	+0.9
2025	39	MLB MLE	New York Yankees	3	0	2	9	3	4	0	0%	0.6	33.3%	44.4%	-11.1%	0.0%	0.00	5.91	-0.0
2025	39	MLB MLE	New York Yankees	3	0	2	9	3	4	0	0%	0.6	33.3%	44.4%	-11.1%	0.0%	0.00	5.91	-0.0
2025	39	MLB RAW	New York Yankees	3	0	2	9	3	4	0	0%	0.6	33.3%	44.4%	-11.1%	0.0%	0.00	6.70	-0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			543	0	500	2111	621	222	47	0%	0.9	29.4%	10.5%	18.9%	2.2%	3.20	3.17	+8.2
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	40	MLB	NYY	5	0	5	21	6	2	1	0%	1.0	26.5%	9.1%	17.3%	2.8%	3.80	3.93	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	41	MLB MLE	NYY	46	0	48	204	51	20	7	0%	1.0	25.3%	9.8%	15.5%	3.2%	4.14	4.37	+0.1
2027	41	MLB CTX	NYY	46	0	48	203	51	20	7	0%	1.0	25.3%	9.8%	15.5%	3.2%	4.14	4.37	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		589	0	548	2315	672	242	54	0%	0.9	29.1%	10.5%	18.6%	2.3%	3.29	3.24	+8.5
/ 200 IP	—	RAW		215	0	200	844	245	88	20	0%	0.9	29.1%	10.5%	18.6%	2.3%	3.29	3.24	+3.1
Career	—	MLE		553	0	508	2148	633	224	46	0%	0.9	29.5%	10.4%	19.0%	2.1%	3.24	3.11	+8.3
/ 200 IP	—	MLE		218	0	200	845	249	88	18	0%	0.9	29.5%	10.4%	19.0%	2.1%	3.24	3.11	+3.0

	Profile at Match Age	Next 3 Yrs	Career
Adam Ottavino (OGILVIE)	—	—	3.93	26.5%	9.1%	2.8%	—	4.37	25.3%	15.5%	48	+0.44	—	—	—
Joaquín Benoit R 2017 · 4.48 FIP	40	SU	4.48	21.6%	9.9%	3.5%	.259	—	—	—	—	—	3.58	164	76
Manny Acosta R 2019 · 3.08 FIP	38	SU	3.08	23.2%	13.3%	0.5%	.303	—	—	—	—	—	3.08	102	65
Peter Moylan R 2018 · 4.77 FIP	39	SU	4.77	17.8%	11.6%	3.1%	.322	—	—	—	—	—	3.11	174	58
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	54
Luis Ayala R 2017 · 4.00 FIP	39	SU	4.00	15.9%	11.7%	1.4%	.340	—	—	—	—	—	3.03	119	53
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	49
Ryan Vogelsong R 2016 · 4.79 FIP	39	SP-	4.79	16.7%	10.4%	3.2%	.270	—	—	—	—	—	4.45	217	21
Horacio Ramirez L 2019 · 4.65 FIP	39	SU	4.65	5.7%	6.0%	2.3%	.233	—	—	—	—	—	3.39	199	15
Juan Antonio Pena L 2019 · 4.56 FIP	41	SW	4.56	13.7%	14.1%	1.5%	.313	—	—	—	—	—	4.20	149	12

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	52	25.9%	9.4%	1.16	3.96
Colin Poche ('24)	1.0	52	27.0%	9.2%	1.34	3.63
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Blake Parker ('21)	1.2	60	26.6%	7.3%	1.40	3.36
Diego Castillo ('22)	1.3	52	28.1%	8.9%	1.07	3.12
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64

			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
Adam Ottavino (OGILVIE)	—	—	3.93	26.5%	9.1%	2.8%	—	4.37	25.3%	15.5%	48	+0.44	—	—	—
Joaquín Benoit R 2017 · 4.48 FIP	40	SU	4.48	21.6%	9.9%	3.5%	.259	—	—	—	—	—	3.58	164	76
Manny Acosta R 2019 · 3.08 FIP	38	SU	3.08	23.2%	13.3%	0.5%	.303	—	—	—	—	—	3.08	102	65
Peter Moylan R 2018 · 4.77 FIP	39	SU	4.77	17.8%	11.6%	3.1%	.322	—	—	—	—	—	3.11	174	58
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	54
Luis Ayala R 2017 · 4.00 FIP	39	SU	4.00	15.9%	11.7%	1.4%	.340	—	—	—	—	—	3.03	119	53
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	49
Ryan Vogelsong R 2016 · 4.79 FIP	39	SP-	4.79	16.7%	10.4%	3.2%	.270	—	—	—	—	—	4.45	217	21
Horacio Ramirez L 2019 · 4.65 FIP	39	SU	4.65	5.7%	6.0%	2.3%	.233	—	—	—	—	—	3.39	199	15
Juan Antonio Pena L 2019 · 4.56 FIP	41	SW	4.56	13.7%	14.1%	1.5%	.313	—	—	—	—	—	4.20	149	12

Contract

Career Stats + Projections

Career Path Comps

Career Comps