Yimi García

P Buffalo Bisons

Age 36 RHP 6'1" / 230 lbs AAA peak 0.3 · 2027 ILInjured 60-Day (D60)

Overview

AAARPD6040-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	33	MIX2 levels	41	0	41	3.76	3.25	31.9%	6.2%	0.6	K 32.0% · BB 5.9% · FIP 3.35
2025	34	MIX4 levels	25	2	24	3.42	3.02	31.4%	11.8%	0.4	K 27.8% · BB 12.2% · FIP 3.52
2026	35	MIX3 levels	9	2	8	9.39	3.88	21.1%	7.9%	—	K 21.1% · BB 7.9% · FIP 3.77
2027PROJ	36	MLBTOR	30	0	32	3.89	3.91	28.8%	9.5%	0.2
2028PROJ	37	MLBTOR	44	0	46	4.14	4.31	27.8%	10.1%	0.1
2029PROJ	38	MLBTOR	37	0	39	4.50	4.75	26.6%	10.8%	-0.1

Last 3 seasons WAR 1.1 · Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

Whiff%84

K%80

FB Velo71

xwOBA vs29

CompsSeunghwan Oh (age 36) · Matt Bush (age 36) · Hirokazu Sawamura (age 34)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10799vR 91

ERA3.89

FIP3.91

K%28.8%

BB%9.5%

K-BB%19.4%

Proj IP32

Value2027 · WAR

Runs saved vs league avg · 32 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL4545

CMD6060

K†6565

Statcast Percentiles

FB Velo

p7196.0

Whiff%

p8430.7%

p8027.8%

xwOBA vs

p290.336

FB+1.9 (59%)

SL+1.3 (35%)

SI (15%)

CU (17%)

CH (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 + 2027 so far)
2014	23	MLB MLE	Los Angeles Dodgers	8	0	10	36	9	1	2	0%	1.2	25.0%	2.8%	22.2%	5.6%	1.80	4.39	+0.0
2014	23	MLB RAW	Los Angeles Dodgers	8	0	10	36	9	1	2	0%	1.2	25.0%	2.8%	22.2%	5.6%	1.80	4.20	+0.0
2015	24	MIX MLE	2 levels	68	1	67	270	80	14	9	1%	1.0	30.2%	4.0%	26.2%	3.4%	3.48	2.93	+1.3
2015	24	MIX RAW	2 levels	68	1	67	270	80	14	9	1%	1.0	29.6%	5.2%	24.4%	3.3%	3.48	3.09	+1.2
2016	25	MIX MLE	4 levels	15	3	16	64	14	1	3	20%	1.0	21.9%	1.6%	20.3%	4.7%	5.17	4.02	+0.1
2016	25	MIX RAW	4 levels	15	3	16	64	14	1	3	20%	1.0	21.9%	1.6%	20.3%	4.7%	5.17	3.99	+0.1
2018	27	MIX MLE	3 levels	42	2	40	172	37	3	9	5%	1.0	19.5%	1.9%	17.6%	5.5%	4.72	4.72	-0.1
2018	27	MIX RAW	3 levels	42	2	40	172	37	3	9	5%	1.0	21.5%	1.7%	19.8%	5.2%	4.72	4.40	+0.1
2019	28	MLB MLE	Los Angeles Dodgers	64	0	62	247	66	12	15	0%	1.0	26.7%	4.9%	21.9%	5.8%	3.61	4.66	-0.1
2019	28	MLB RAW	Los Angeles Dodgers	64	0	62	247	66	12	15	0%	1.0	26.7%	4.9%	21.9%	6.1%	3.61	4.69	-0.1
2020	29	MLB MLE	Miami Marlins	14	0	15	60	19	5	0	0%	1.1	31.7%	8.3%	23.3%	0.0%	0.60	1.48	+0.6
2020	29	MLB RAW	Miami Marlins	14	0	15	60	19	5	0	0%	1.1	31.7%	8.3%	23.3%	0.0%	0.60	1.57	+0.5
2021	30	MLB MLE	Houston Astros	62	0	58	237	60	13	8	0%	0.9	25.3%	5.5%	19.8%	3.5%	4.21	3.56	+0.7
2021	30	MLB RAW	Houston Astros	62	0	58	237	60	13	8	0%	0.9	25.3%	5.5%	19.8%	3.4%	4.21	3.50	+0.7
2022	31	MIX MLE	2 levels	62	0	62	250	60	13	6	0%	1.0	23.5%	5.3%	18.2%	2.4%	3.05	3.12	+1.1
2022	31	MIX RAW	2 levels	62	0	62	250	60	13	6	0%	1.0	24.0%	5.2%	18.8%	2.4%	3.05	3.05	+1.1
2023	32	MLB MLE	Toronto Blue Jays	73	0	66	282	79	14	8	0%	0.9	28.0%	5.0%	23.0%	2.8%	4.09	2.92	+1.3
2023	32	MLB RAW	Toronto Blue Jays	73	0	66	282	79	14	8	0%	0.9	28.0%	5.0%	23.0%	2.8%	4.09	2.92	+1.3
2024	33	MIX MLE	2 levels	41	0	41	160	51	10	6	0%	1.0	32.0%	5.9%	26.1%	4.0%	3.76	3.35	+0.6
2024	33	MIX MLE	2 levels	41	0	41	160	51	10	6	0%	1.0	32.0%	5.9%	26.1%	4.0%	3.76	3.35	+0.6
2024	33	MIX RAW	2 levels	41	0	41	160	51	10	6	0%	1.0	31.9%	6.2%	25.6%	3.8%	3.76	3.25	+0.6
2025	34	MIX MLE	4 levels	25	2	24	102	32	12	2	8%	0.9	27.8%	12.2%	15.6%	2.2%	3.42	3.52	+0.3
2025	34	MIX MLE	4 levels	25	2	24	102	32	12	2	8%	0.9	27.8%	12.2%	15.6%	2.2%	3.42	3.52	+0.3
2025	34	MIX RAW	4 levels	25	2	24	102	32	12	2	8%	0.9	31.4%	11.8%	19.6%	2.0%	3.42	3.02	+0.4
2026	35	MIX MLE	3 levels	9	2	8	38	8	3	1	22%	0.9	21.1%	7.9%	13.2%	2.6%	9.39	3.77	—
2026	35	MIX MLE	3 levels	9	2	8	38	8	3	1	22%	0.9	21.1%	7.9%	13.2%	2.6%	9.39	3.77	—
2026	35	MIX RAW	3 levels	9	2	8	38	8	3	1	22%	0.9	21.1%	7.9%	13.2%	2.6%	9.39	3.88	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			436	1	419	1713	456	91	62	0%	1.0	26.6%	5.3%	21.3%	3.6%	3.61	3.50	+5.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	36	MLB	TOR	30	0	32	135	39	13	4	0%	1.1	28.8%	9.5%	19.4%	3.0%	3.89	3.91	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	37	MLB MLE	TOR	44	0	46	193	54	20	7	0%	1.0	27.8%	10.1%	17.6%	3.4%	4.14	4.31	+0.1
2029	38	MLB MLE	TOR	38	0	39	166	44	18	6	0%	1.0	26.6%	10.8%	15.8%	3.9%	4.50	4.75	-0.1
2028	37	MLB CTX	TOR	44	0	46	194	54	20	7	0%	1.0	27.8%	10.1%	17.6%	3.4%	4.14	4.31	+0.1
2029	38	MLB CTX	TOR	37	0	39	165	44	18	6	0%	1.1	26.6%	10.8%	15.8%	3.9%	4.50	4.75	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		517	1	505	2073	554	129	75	0%	1.0	26.7%	6.2%	20.5%	3.6%	3.72	3.62	+5.6
/ 200 IP	—	RAW		205	0	200	822	220	51	30	0%	1.0	26.7%	6.2%	20.5%	3.6%	3.72	3.62	+2.2
Career	—	MLE		483	10	468	1918	508	98	70	2%	1.0	26.5%	5.1%	21.4%	3.7%	3.77	3.51	+5.3
/ 200 IP	—	MLE		206	4	200	820	217	42	30	2%	1.0	26.5%	5.1%	21.4%	3.7%	3.77	3.51	+2.1

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
Yimi García (OGILVIE)	—	—	3.91	28.8%	9.5%	3.0%	—	4.51	27.2%	16.8%	85	+0.60	—	—	—
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	70
Matt Bush R 2022 · 3.73 FIP	36	SU	3.73	30.3%	6.6%	4.3%	.224	3.79	26.2%	17.5%	36	+0.06	2.87	249	66
Hirokazu Sawamura R 2022 · 4.02 FIP	34	SU	4.02	18.1%	11.3%	1.9%	.270	—	—	—	—	—	4.02	104	60
Rafael Martín R 2019 · 4.71 FIP	35	SU	4.71	22.5%	6.0%	5.0%	.333	—	—	—	—	—	2.94	227	59
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	456	59
Kazuhiro Sasaki R 2003 · 3.30 FIP	35	SU	3.30	19.3%	8.7%	1.3%	.274	—	—	—	—	—	2.76	223	58
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	58
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	58
Matt Miller R 2006 · 4.98 FIP	34	SU	4.98	18.5%	13.8%	3.1%	.214	—	—	—	—	—	2.13	101	55
Roy Corcoran R 2015 · 2.87 FIP	35	SU	2.87	17.7%	8.2%	0.4%	.359	—	—	—	—	—	2.87	129	54
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	54
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	54
Peter Moylan R 2015 · 3.11 FIP	36	SU	3.11	18.4%	8.2%	0.9%	.259	3.84	18.2%	9.1%	145	+0.73	2.54	431	53
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	52
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	51
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	3.93	194	46
Erubiel Gonzalez R 2015 · 3.43 FIP	36	SU	3.43	12.4%	6.0%	1.1%	.328	3.26	14.8%	10.4%	69	-0.17	2.99	119	43
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	43
Koji Uehara R 2011 · 2.95 FIP	36	SU	2.95	35.0%	3.3%	4.3%	.194	2.13	34.9%	32.1%	175	-0.82	1.28	481	42
Kazuhisa Makita R 2019 · 2.81 FIP	34	SU	2.81	18.9%	3.7%	1.5%	.291	—	—	—	—	—	2.81	132	37

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	2.7	49	26.9%	7.2%	1.39	3.73
Shawn Kelley ('19)	2.3	46	27.0%	7.3%	1.47	3.80
Joel Peralta ('16)	3.2	54	23.0%	7.0%	1.32	4.03
Jake McGee ('22)	2.9	48	26.0%	6.6%	1.10	3.71
Joe Hoerner ('63-'77, 8 WAR*)	2.8	51	23.2%*	7.9%*	1.21*	3.52*
Bob Patterson ('85-'98, 4 WAR*)	3.1	51	23.0%*	6.7%*	1.32*	4.33*
Tom Niedenfuer ('81-'90, 8 WAR*)	3.3	65	23.1%*	8.1%*	1.19*	3.80*