Yennier Cano

P Baltimore Orioles

Age 33 RHP 6'4" / 245 lbs MLB peak 0.4 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	30	MLBBAL	70	60	3.15	3.38	26.1%	9.2%	0.8
2025	31	MIX2 levels	67	60	5.10	3.93	21.2%	8.9%	0.4	K 21.1% · BB 9.2% · FIP 3.94
2026	32	MLBBAL	68	50	2.90	2.60	22.1%	6.4%	1.2
2027PROJ	33	MLBBAL	41	43	3.80	3.79	22.9%	7.8%	0.4
2028PROJ95% MLB	34	MLBBAL	27	28	3.97	4.09	22.0%	8.3%	0.2

Last 3 seasons WAR 2.4 · Next 2 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs80

FB Velo51

K%50

CompsTony Barnette (age 33) · Joe Nelson (age 33) · Akinori Otsuka (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 9890vR 82

ERA3.80

FIP3.79

K%22.9%

BB%7.8%

K-BB%15.1%

Proj IP43

Value2027 · WAR

Runs saved vs league avg · 43 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL4545

CMD5050

K†5555

Statcast Percentiles

FB Velo

p5194.6

Whiff%

p5325.7%

p5022.2%

xwOBA vs

p800.283

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 the standard WAR scale.

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 + 2027 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 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
2026	32	MLB MLE	Baltimore Orioles	68	0	50	204	45	13	2	0%	0.7	22.1%	6.4%	15.7%	0.9%	2.90	2.56	+1.2
2026	32	MLB MLE	Baltimore Orioles	68	0	50	204	45	13	2	0%	0.7	22.1%	6.4%	15.7%	0.9%	2.90	2.56	+1.2
2026	32	MLB RAW	Baltimore Orioles	68	0	50	204	45	13	2	0%	0.7	22.1%	6.4%	15.7%	1.0%	2.90	2.60	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			288	0	258	1084	249	86	22	0%	0.9	23.0%	7.9%	15.0%	2.0%	3.83	3.28	+3.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	BAL	41	0	43	182	42	14	4	0%	1.0	22.9%	7.8%	15.1%	2.3%	3.80	3.79	+0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	BAL	28	0	29	123	27	10	3	0%	1.0	22.0%	8.3%	13.7%	2.6%	3.97	4.09	+0.2
2028	34	MLB CTX	BAL	27	0	28	118	26	10	3	0%	1.0	22.0%	8.3%	13.7%	2.6%	3.97	4.09	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		314	0	286	1201	275	96	25	0%	0.9	22.9%	8.0%	14.9%	2.1%	3.85	3.32	+4.2
/ 200 IP	—	RAW		220	0	200	840	192	67	17	0%	0.9	22.9%	8.0%	14.9%	2.1%	3.85	3.32	+2.9
Career	—	MLE		376	1	388	1644	379	151	35	0%	1.0	23.0%	9.2%	13.9%	2.1%	3.62	3.48	+4.1
/ 200 IP	—	MLE		194	1	200	847	195	78	18	0%	1.0	23.0%	9.2%	13.9%	2.1%	3.62	3.48	+2.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2022 AAANorfolk Tides · 40 IPFIP 3.54 → 4.09 (+0.56)K% 27.4% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.44%	—	×0.880	24.15%
BB% (unintentional) /BF	8.54%	—	×1.050	8.96%
HR / BF /BF	3.05%	÷0.970	×1.100	3.46%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 3.54 → 4.09, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAASt. Paul Saints · 51 IPFIP 3.53 → 3.85 (+0.32)K% 25.7% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.66%	—	×0.880	22.58%
BB% (unintentional) /BF	12.83%	—	×1.050	13.47%
HR / BF /BF	1.77%	÷1.121	×1.100	1.74%

Result: FIP 3.53 → 3.85, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAWichita Wind Surge · 18 IPFIP 1.48 → 2.16 (+0.68)K% 34.6% → 28.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.57%	—	×0.810	28.00%
BB% (unintentional) /BF	4.94%	—	×1.100	5.43%
HR / BF /BF	1.23%	÷1.104	×1.200	1.34%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 121).

Result: FIP 1.48 → 2.16, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 A+Fort Myers Miracle · 13 IPFIP 5.32 → 5.94 (+0.62)K% 22.8% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.81%	—	×0.770	17.56%
BB% (unintentional) /BF	17.54%	—	×1.150	20.18%
HR / BF /BF	3.51%	÷1.362	×1.250	3.22%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 172).

Result: FIP 5.32 → 5.94, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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)	—	—	3.79	22.9%	7.8%	2.3%	—	4.09	22.0%	13.7%	29	+0.30	—	—	—
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	77
Joe Nelson R 2008 · 3.08 FIP	33	SU	3.08	26.1%	7.8%	2.2%	.252	5.35	19.8%	5.5%	40	+2.27	3.08	139	75
Akinori Otsuka R 2005 · 3.05 FIP	33	SU	3.05	21.7%	9.4%	1.1%	.278	2.59	19.4%	14.2%	92	-0.46	2.39	232	75
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	73
Tommy Nance R 2024 · 3.51 FIP	33	SU	3.51	20.2%	5.8%	2.5%	.327	2.84	26.3%	19.5%	123	-0.67	2.08	360	73
Matt Herges R 2003 · 2.90 FIP	33	SU	2.90	20.5%	8.1%	0.9%	.278	4.39	11.1%	4.4%	165	+1.49	2.90	691	72
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	72
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	72
Jim Henderson R 2016 · 4.55 FIP	33	SU	4.55	25.8%	9.0%	4.5%	.287	—	—	—	—	—	1.86	167	72
Rafael Betancourt R 2008 · 4.12 FIP	33	SU	4.12	20.7%	6.5%	3.6%	.304	2.37	31.4%	27.3%	181	-1.75	1.79	686	72
Jumbo Diaz R 2017 · 4.17 FIP	33	SU	4.17	20.0%	9.7%	2.8%	.302	2.90	24.2%	15.4%	98	-1.27	2.80	319	71
Neil Wagner R 2017 · 3.11 FIP	33	SU	3.11	20.7%	8.6%	1.2%	.257	—	—	—	—	—	3.11	135	71
Tyler Walker R 2009 · 3.72 FIP	33	SU	3.72	18.0%	5.3%	2.7%	.243	3.77	20.7%	16.6%	35	+0.05	2.38	289	70
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	2.16	306	70
Dale Thayer R 2014 · 3.56 FIP	33	SU	3.56	23.4%	4.9%	3.3%	.243	4.34	15.8%	8.8%	38	+0.78	2.75	239	70
Spencer Patton R 2021 · 3.04 FIP	33	SU	3.04	27.9%	8.7%	2.2%	.305	4.97	21.2%	10.4%	88	+1.93	2.79	239	70
Jared Burton R 2014 · 3.90 FIP	33	SU	3.90	16.9%	8.1%	2.2%	.263	3.99	25.1%	15.7%	14	+0.09	3.09	367	69
D.J. Carrasco R 2010 · 3.45 FIP	33	SU	3.45	19.7%	9.4%	1.5%	.275	4.47	12.0%	6.7%	49	+1.02	3.23	490	69
Ryan Brasier R 2021 · 4.85 FIP	33	SU	4.85	18.0%	8.0%	4.1%	.286	3.16	23.7%	17.9%	150	-1.69	2.31	426	69
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	67

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.7	55	22.9%	8.2%	0.82	3.84
Scott Oberg ('19)	1.3	51	21.5%	9.3%	0.91	3.85
David Carpenter ('19)	1.1	43	23.5%	8.4%	0.92	3.69
Jared Burton ('14)	1.8	60	19.9%	8.9%	0.77	3.44
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Mike Perez ('90-'97, 3 WAR*)	1.7	58	18.5%*	8.2%*	0.88*	3.86*
Carlos Diaz ('82-'86, 2 WAR*)	1.3	52	25.1%*	8.7%*	0.91*	3.84*