Fernando Cruz — OGILVIE

Fernando Cruz P New York Yankees

Age 36 RHP 6'2" / 237 lbs MLB peak 0.5 · 2026 ILInjured 15-Day (D15)

2026 ROS PROJECTION55 act + 3 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 9385vR 77

ERA3.63

FIP3.40

K%32.5%

BB%11.8%

K-BB%20.7%

ROS IP3

Value2026 · WAR

Runs saved vs league avg · 58 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF8080

CTRL3030

CMD7070

K†8080

Statcast Percentiles

FB Velo

p3293.2

Whiff%

p9039.1%

p8528.6%

xwOBA vs

p820.281

FB+1.2 (35%)

SL (14%)

SI (3%)

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	25	MIX MLE	3 levels	32	5	69	309	58	33	11	16%	2.1	15.6%	12.2%	3.4%	3.6%	5.64	5.29	—
2015	25	MIX RAW	3 levels	32	5	69	309	58	33	11	16%	2.1	18.8%	10.7%	8.1%	3.6%	5.64	4.93	—
2022	32	MIX MLE	2 levels	65	2	71	289	87	28	5	3%	1.1	27.4%	10.0%	17.3%	1.5%	2.55	2.89	+1.4
2022	32	MIX RAW	2 levels	65	2	71	289	87	28	5	3%	1.1	30.1%	9.7%	20.4%	1.7%	2.55	2.75	+1.5
2023	33	MIX MLE	2 levels	60	2	68	288	100	30	6	3%	1.1	35.1%	10.0%	25.1%	2.0%	5.19	2.50	+1.7
2023	33	MIX MLE	2 levels	60	2	68	288	100	30	6	3%	1.1	35.1%	10.0%	25.1%	2.0%	5.19	2.50	+1.7
2023	33	MIX RAW	2 levels	60	2	68	288	100	30	6	3%	1.1	34.7%	10.4%	24.3%	2.1%	5.19	2.63	+1.6
2024	34	MLB MLE	Cincinnati Reds	69	3	67	288	109	33	9	4%	1.0	37.8%	11.5%	26.4%	2.9%	4.86	2.94	+1.3
2024	34	MLB MLE	Cincinnati Reds	69	3	67	288	109	33	9	4%	1.0	37.8%	11.5%	26.4%	2.9%	4.86	2.94	+1.3
2024	34	MLB RAW	Cincinnati Reds	69	3	67	288	109	33	9	4%	1.0	37.8%	11.5%	26.4%	3.1%	4.86	3.07	+1.2
2025	35	MIX MLE	3 levels	53	0	52	219	78	26	6	0%	1.0	36.0%	12.0%	24.0%	2.3%	4.18	2.87	+1.0
2025	35	MIX MLE	3 levels	53	0	52	219	78	26	6	0%	1.0	36.0%	12.0%	24.0%	2.3%	4.18	2.87	+1.0
2025	35	MIX RAW	3 levels	53	0	52	219	78	26	6	0%	1.0	35.6%	11.9%	23.7%	2.7%	4.18	3.10	+0.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			251	7	250	1065	367	124	28	3%	1.0	34.5%	11.6%	22.8%	2.6%	4.03	3.11	+4.3
▸ 2026 season
YTD	36	MLB MLE	New York Yankees	61	0	55	234	67	30	7	0%	0.9	28.6%	12.8%	15.8%	2.8%	3.13	3.84	+0.5
YTD	36	MLB MLE	New York Yankees	61	0	55	234	67	30	7	0%	0.9	28.6%	12.8%	15.8%	2.8%	3.13	3.84	+0.5
▸ 2026 season — so far · projected rest · full
2026	36	MLB RAW	NYY	61	0	55	234	67	30	7	0%	0.9	28.6%	12.8%	15.8%	3.0%	3.13	3.95	+0.4
SO FAR	36	MLB RAW	NYY	61	0	55	234	67	30	7	0%	0.9	28.6%	12.8%	15.8%	3.0%	3.13	3.95	+0.4
ROS	36	MLB MLE	NYY	3	0	3	12	4	1	0	0%	1.0	32.5%	11.8%	20.7%	2.8%	3.63	3.40	+0.0
ROS	36	MLB CTX	NYY	3	0	3	13	4	1	0	0%	1.0	32.5%	11.8%	20.7%	2.8%	3.63	3.40	+0.0
2026 TOT	36	MLB MLE	NYY	—	—	58	246	71	31	7	—	—	28.8%	12.8%	16.1%	3.0%	3.15	3.82	+0.5
FULL	36	MLB A+C	NYY	—	—	58	243	71	31	7	—	—	29.2%	12.9%	16.3%	3.0%	3.15	3.93	+0.5
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	37	MLB MLE	NYY	34	0	35	149	48	18	5	0%	1.0	32.2%	12.4%	19.8%	3.3%	4.08	4.14	+0.2
2027	37	MLB CTX	NYY	30	0	32	135	44	17	4	0%	1.1	32.2%	12.4%	19.8%	3.3%	4.08	4.14	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		284	7	285	1213	415	142	33	2%	1.0	34.2%	11.7%	22.5%	2.7%	4.03	3.18	+4.6
/ 200 IP	—	RAW		200	5	200	851	291	100	23	2%	1.0	34.2%	11.7%	22.5%	2.7%	4.03	3.18	+3.3
Career	—	MLE		340	12	380	1627	483	185	41	4%	1.1	29.7%	11.4%	18.3%	2.5%	4.29	3.42	+4.5
/ 200 IP	—	MLE		179	6	200	856	254	97	22	4%	1.1	29.7%	11.4%	18.3%	2.5%	4.29	3.42	+3.1

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
Fernando Cruz (OGILVIE)	—	—	3.32	37.0%	11.1%	2.8%	—	4.14	32.2%	19.8%	35	+0.82	—	—	—
Kirby Yates R 2023 · 4.18 FIP	36	SU	4.18	31.5%	14.2%	3.5%	.202	3.00	31.7%	21.9%	143	-1.18	0.66	487	70
Santiago Casilla R 2016 · 3.69 FIP	36	SU	3.69	27.0%	7.1%	3.6%	.278	4.13	19.8%	8.7%	103	+0.44	3.50	219	70
Seunghwan Oh R 2018 · 2.83 FIP	36	SU	2.83	28.8%	5.8%	2.6%	.257	5.75	18.2%	11.4%	18	+2.92	1.87	226	66
Joaquín Benoit R 2015 · 3.58 FIP	38	SU	3.58	24.8%	8.7%	2.7%	.179	4.11	23.5%	12.9%	98	+0.53	3.58	164	63
John Axford R 2018 · 3.64 FIP	35	SU	3.64	23.2%	9.0%	2.5%	.303	—	—	—	—	—	3.20	197	61
Matt Albers R 2019 · 4.13 FIP	36	SU	4.13	22.1%	10.1%	2.9%	.269	—	—	—	—	—	3.15	244	60
Joakim Soria R 2020 · 2.54 FIP	36	SU	2.54	25.0%	7.3%	1.1%	.266	4.00	25.2%	17.7%	37	+1.46	2.01	380	60
Fernando Rodney R 2015 · 4.37 FIP	38	SU	4.37	20.9%	9.4%	3.4%	.272	3.37	26.2%	15.2%	185	-1.00	2.69	295	56
Daniel Bard R 2021 · 3.62 FIP	36	SU	3.62	26.3%	11.5%	2.3%	.337	3.64	24.6%	10.3%	110	+0.02	2.56	200	55
Matt Bush R 2022 · 3.73 FIP	36	SU	3.73	30.3%	6.6%	4.3%	.224	3.83	25.8%	17.1%	36	+0.10	2.87	249	54
Blake Parker R 2021 · 3.86 FIP	36	SU	3.86	20.0%	7.6%	2.7%	.295	5.74	26.0%	14.0%	27	+1.88	2.52	339	53
Tony Barnette R 2018 · 2.61 FIP	34	SU	2.61	25.0%	4.8%	1.8%	.239	—	—	—	—	—	2.61	144	53
Josh Lueke R 2019 · 4.11 FIP	34	SU	4.11	20.4%	6.4%	3.5%	.311	—	—	—	—	—	2.29	107	53
Radhames Liz R 2018 · 4.45 FIP	34	SU	4.45	21.8%	13.9%	2.6%	.343	—	—	—	—	—	2.81	110	51
Hirokazu Sawamura R 2022 · 4.02 FIP	34	SU	4.02	18.1%	11.3%	1.9%	.270	—	—	—	—	—	4.02	104	50
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	4.12	186	50
David Robertson R 2021 · 3.67 FIP	36	SU	3.67	32.0%	8.0%	4.1%	.321	2.86	31.1%	21.4%	201	-0.81	2.00	494	50
Tommy Hunter R 2022 · 3.98 FIP	36	SU	3.98	22.1%	4.5%	4.0%	.292	5.22	18.9%	14.2%	24	+1.24	2.78	316	49
Luis Ayala R 2015 · 3.03 FIP	37	SU	3.03	19.7%	5.0%	1.7%	.270	3.27	12.1%	5.9%	57	+0.24	3.03	119	49
Blaine Boyer R 2017 · 3.24 FIP	36	SU	3.24	18.0%	7.6%	1.3%	.341	7.38	8.3%	-0.9%	22	+4.14	3.24	209	49

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	0.4	36	34.6%	11.7%	1.19	3.81
Corey Knebel ('22)	1.4	47	32.3%	11.2%	0.95	3.04
Keone Kela ('19)	1.1	43	30.1%	9.4%	0.92	3.23
José Leclerc ('24)	1.7	57	31.6%	12.8%	0.76	3.33
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
Carl Edwards Jr. ('23)	1.2	50	28.7%	12.4%	0.76	3.05
Colin Poche ('24)	1.0	52	27.0%	9.2%	1.34	3.63