Yennier Cano — OGILVIE

Yennier Cano P Baltimore Orioles

Age 32 RHP 6'4" / 245 lbs MLB peak 0.3 · 2026

2026 ROS PROJECTION46 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 9486vR 78

ERA3.38

FIP3.52

K%22.9%

BB%7.7%

K-BB%15.2%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 50 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL4545

CMD5050

K†5555

Statcast Percentiles

FB Velo

p5194.6

Whiff%

p6127.0%

p5122.3%

xwOBA vs

p830.280

SL+0.8 (13%)

FB+0.7 (59%)

SI (54%)

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)
2019	25	MIX MLE	2 levels	10	0	15	68	15	14	2	0%	1.5	17.6%	20.2%	-2.6%	3.2%	4.20	5.94	—
2019	25	MIX RAW	2 levels	10	0	15	68	15	14	2	0%	1.5	22.1%	20.6%	1.5%	2.9%	4.20	5.63	—
2021	27	MIX MLE	2 levels	42	1	70	307	86	33	5	2%	1.7	24.0%	11.4%	12.7%	1.6%	3.23	3.41	—
2021	27	MIX RAW	2 levels	42	1	70	307	86	33	5	2%	1.7	28.0%	10.7%	17.3%	1.6%	3.23	2.99	—
2022	28	MIX MLE	2 levels	44	0	58	261	66	30	8	0%	1.3	23.2%	11.8%	11.5%	3.3%	5.55	4.46	+0.1
2022	28	MIX RAW	2 levels	44	0	58	261	66	30	8	0%	1.3	25.3%	11.5%	13.8%	3.1%	5.55	4.16	+0.3
2023	29	MIX MLE	2 levels	75	0	76	296	69	12	4	0%	1.0	23.0%	3.9%	19.1%	1.4%	2.02	2.43	+1.9
2023	29	MIX MLE	2 levels	75	0	76	296	69	12	4	0%	1.0	23.0%	3.9%	19.1%	1.4%	2.02	2.43	+1.9
2023	29	MIX RAW	2 levels	75	0	76	296	69	12	4	0%	1.0	23.3%	4.1%	19.3%	1.4%	2.02	2.44	+1.9
2024	30	MLB MLE	Baltimore Orioles	70	0	60	249	65	23	6	0%	0.9	26.1%	9.2%	16.9%	2.4%	3.15	3.40	+0.8
2024	30	MLB MLE	Baltimore Orioles	70	0	60	249	65	23	6	0%	0.9	26.1%	9.2%	16.9%	2.4%	3.15	3.40	+0.8
2024	30	MLB RAW	Baltimore Orioles	70	0	60	249	65	23	6	0%	0.9	26.1%	9.2%	16.9%	2.4%	3.15	3.38	+0.8
2025	31	MIX MLE	2 levels	67	0	60	259	55	23	7	0%	0.9	21.1%	9.2%	12.0%	2.7%	5.10	3.94	+0.4
2025	31	MIX MLE	2 levels	67	0	60	259	55	23	7	0%	0.9	21.1%	9.2%	12.0%	2.7%	5.10	3.94	+0.4
2025	31	MIX RAW	2 levels	67	0	60	259	55	23	7	0%	0.9	21.2%	8.9%	12.4%	2.7%	5.10	3.93	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			283	0	254	1069	246	84	22	0%	0.9	23.0%	7.9%	15.2%	2.1%	3.89	3.28	+3.8
▸ 2026 season
YTD	32	MLB MLE	Baltimore Orioles	63	0	46	189	42	11	2	0%	0.7	22.2%	5.8%	16.4%	1.0%	3.15	2.52	+1.1
YTD	32	MLB MLE	Baltimore Orioles	63	0	46	189	42	11	2	0%	0.7	22.2%	5.8%	16.4%	1.0%	3.15	2.52	+1.1
▸ 2026 season — so far · projected rest · full
2026	32	MLB RAW	BAL	63	0	46	189	42	11	2	0%	0.7	22.2%	5.8%	16.4%	1.1%	3.15	2.54	+1.1
SO FAR	32	MLB RAW	BAL	63	0	46	189	42	11	2	0%	0.7	22.2%	5.8%	16.4%	1.1%	3.15	2.54	+1.1
ROS	32	MLB MLE	BAL	4	0	5	20	4	2	0	0%	1.2	22.9%	7.7%	15.2%	2.5%	3.38	3.52	+0.1
ROS	32	MLB CTX	BAL	5	0	5	21	5	2	1	0%	1.0	22.9%	7.7%	15.2%	2.5%	3.38	3.52	+0.1
2026 TOT	32	MLB MLE	BAL	—	—	50	209	46	13	2	—	—	22.3%	6.0%	16.3%	1.2%	3.17	2.61	+1.3
FULL	32	MLB A+C	BAL	—	—	50	212	46	13	2	—	—	21.9%	5.9%	16.0%	1.2%	3.17	2.64	+1.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	BAL	48	0	50	213	47	17	5	0%	1.1	22.2%	8.2%	14.0%	2.5%	3.84	4.00	+0.3
2028	34	MLB MLE	BAL	44	0	46	194	41	17	5	0%	1.0	21.3%	8.7%	12.7%	2.8%	4.12	4.31	+0.1
2029	35	MLB MLE	BAL	39	0	41	174	35	16	5	0%	1.1	20.3%	9.2%	11.1%	3.1%	4.44	4.65	-0.0
2027	33	MLB CTX	BAL	46	0	48	203	45	17	5	0%	1.0	22.2%	8.2%	14.0%	2.5%	3.84	4.00	+0.3
2028	34	MLB CTX	BAL	40	0	42	177	38	15	5	0%	1.1	21.3%	8.7%	12.7%	2.8%	4.12	4.31	+0.1
2029	35	MLB CTX	BAL	34	0	36	152	31	14	5	0%	1.1	20.3%	9.2%	11.1%	3.1%	4.44	4.65	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		407	0	384	1617	363	131	37	0%	0.9	22.5%	8.1%	14.4%	2.3%	3.96	3.49	+4.8
/ 200 IP	—	RAW		212	0	200	842	189	68	19	0%	0.9	22.5%	8.1%	14.4%	2.3%	3.96	3.49	+2.5
Career	—	MLE		371	1	384	1629	376	149	35	0%	1.0	23.1%	9.1%	14.0%	2.1%	3.65	3.48	+4.3
/ 200 IP	—	MLE		193	1	200	848	196	77	18	0%	1.0	23.1%	9.1%	14.0%	2.1%	3.65	3.48	+2.2

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
Yennier Cano (OGILVIE)	—	—	4.05	23.6%	8.7%	2.7%	—	4.30	21.4%	12.7%	138	+0.25	—	—	—
Brad Brach R 2018 · 3.44 FIP	32	SU	3.44	20.8%	9.0%	1.7%	.338	4.06	24.4%	11.0%	97	+0.62	2.69	410	80
Tommy Hunter R 2018 · 3.30 FIP	32	SU	3.30	18.9%	5.2%	2.1%	.296	2.78	24.5%	18.6%	25	-0.52	2.78	316	80
Cory Gearrin R 2018 · 4.02 FIP	32	SU	4.02	21.4%	8.1%	3.1%	.292	3.78	19.5%	9.5%	55	-0.24	3.15	272	79
Jonathan Broxton R 2016 · 3.77 FIP	32	SU	3.77	22.0%	7.3%	2.9%	.256	4.34	20.5%	9.0%	16	+0.57	3.67	137	78
Josh Fields R 2018 · 3.48 FIP	32	SU	3.48	21.4%	6.5%	2.5%	.224	7.56	18.9%	9.5%	25	+4.08	1.90	238	76
Daniel Hudson R 2019 · 3.61 FIP	32	SU	3.61	23.4%	8.2%	2.6%	.240	3.24	33.4%	25.7%	97	-0.37	1.68	468	76
Blake Wood R 2017 · 3.44 FIP	31	SU	3.44	25.3%	9.3%	2.4%	.364	—	—	—	—	—	2.92	210	76
Jumbo Diaz R 2016 · 3.85 FIP	32	SU	3.85	22.3%	9.2%	2.7%	.247	3.28	23.0%	13.8%	141	-0.57	2.80	284	75
Joakim Soria R 2016 · 4.33 FIP	32	SU	4.33	23.2%	9.2%	3.7%	.319	2.63	28.5%	21.7%	186	-1.70	2.01	380	74
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	73
Santiago Casilla R 2015 · 3.50 FIP	35	SU	3.50	25.4%	8.6%	2.7%	.290	3.97	22.4%	12.7%	161	+0.47	3.50	219	73
Pedro Strop R 2017 · 3.08 FIP	32	SU	3.08	26.0%	10.0%	1.7%	.263	3.43	25.3%	16.4%	101	+0.35	2.56	277	72
Rob Scahill R 2018 · 3.06 FIP	31	SU	3.06	22.6%	9.5%	1.2%	.373	—	—	—	—	—	3.06	201	72
Fernando Salas R 2017 · 3.50 FIP	32	SU	3.50	21.3%	6.1%	2.6%	.326	4.15	19.4%	14.1%	92	+0.65	2.71	288	72
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	71
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	71
Chris Hatcher R 2017 · 4.31 FIP	32	SU	4.31	24.5%	7.4%	4.3%	.291	5.32	18.0%	8.4%	36	+1.01	2.92	176	71
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	70
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	70
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	70

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	1.0	48	22.0%	8.7%	1.06	4.06
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Derek Law ('24)	1.5	60	21.5%	8.9%	0.88	3.47
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Cam Bedrosian ('21)	1.3	45	24.5%	10.0%	0.97	3.68
Cory Gearrin ('19)	1.1	57	21.5%	9.8%	0.79	3.42