Luis García — OGILVIE

Luis García P Minnesota Twins

Age 39 RHP 6'2" / 240 lbs MLB peak 0.3 · 2026

2026 ROS PROJECTION17 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10597vR 89

ERA3.93

FIP3.80

K%18.4%

BB%7.9%

K-BB%10.5%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 21 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL5050

CMD4545

K†5050

Statcast Percentiles

FB Velo

p7095.9

Whiff%

p1920.9%

p108.1%

xwOBA vs

p100.397

SI (47%)

SL-1.3 (20%)

FB-1.6 (49%)

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	28	MLB MLE	Philadelphia Phillies	72	0	67	304	63	29	4	0%	0.9	20.7%	9.5%	11.2%	1.2%	3.51	3.23	+1.0
2015	28	MLB RAW	Philadelphia Phillies	72	0	67	304	63	29	4	0%	0.9	20.7%	9.5%	11.2%	1.3%	3.51	3.29	+1.0
2016	29	MIX MLE	2 levels	65	0	70	295	67	31	5	0%	1.1	20.6%	10.9%	9.6%	1.8%	3.09	3.75	+0.7
2016	29	MIX RAW	2 levels	65	0	70	295	67	31	5	0%	1.1	22.7%	10.5%	12.2%	1.7%	3.09	3.44	+0.9
2017	30	MIX MLE	2 levels	70	1	76	319	67	25	3	1%	1.1	20.3%	7.1%	13.2%	0.9%	2.84	2.80	+1.6
2017	30	MIX RAW	2 levels	70	1	76	319	67	25	3	1%	1.1	21.0%	7.8%	13.2%	0.9%	2.84	2.84	+1.6
2018	31	MIX MLE	3 levels	62	0	48	217	55	17	7	0%	0.8	25.0%	8.3%	16.7%	1.8%	6.52	3.05	+0.9
2018	31	MIX RAW	3 levels	62	0	48	217	55	17	7	0%	0.8	25.3%	7.8%	17.5%	3.2%	6.52	3.76	+0.5
2019	32	MIX MLE	2 levels	65	2	63	281	60	32	13	3%	1.0	20.5%	11.5%	9.0%	4.6%	4.29	5.34	-0.6
2019	32	MIX RAW	2 levels	65	2	63	281	60	32	13	3%	1.0	21.4%	11.4%	10.0%	4.6%	4.29	5.40	-0.6
2020	33	MLB MLE	Texas Rangers	11	2	8	45	11	8	1	18%	0.8	24.4%	17.8%	6.7%	2.2%	7.56	4.51	+0.0
2020	33	MLB RAW	Texas Rangers	11	2	8	45	11	8	1	18%	0.8	24.4%	17.8%	6.7%	2.2%	7.56	4.90	-0.0
2021	34	MIX MLE	2 levels	52	0	51	204	53	10	4	0%	1.0	24.9%	5.0%	19.9%	2.0%	3.37	2.72	+1.1
2021	34	MIX RAW	2 levels	52	0	51	204	53	10	4	0%	1.0	26.0%	4.9%	21.1%	2.0%	3.37	2.63	+1.2
2022	35	MIX MLE	2 levels	66	0	63	267	71	17	3	0%	1.0	26.3%	6.6%	19.7%	1.1%	3.29	2.33	+1.7
2022	35	MIX RAW	2 levels	66	0	63	267	71	17	3	0%	1.0	26.6%	6.4%	20.2%	1.1%	3.29	2.27	+1.7
2023	36	MLB MLE	San Diego Padres	61	0	60	267	53	23	6	0%	1.0	19.9%	8.6%	11.2%	2.2%	4.07	3.72	+0.6
2023	36	MLB MLE	San Diego Padres	61	0	60	267	53	23	6	0%	1.0	19.9%	8.6%	11.2%	2.2%	4.07	3.72	+0.6
2023	36	MLB RAW	San Diego Padres	61	0	60	267	53	23	6	0%	1.0	19.9%	8.6%	11.2%	2.2%	4.07	3.79	+0.5
2024	37	MIX MLE	2 levels	61	0	60	258	53	13	8	0%	1.0	20.9%	5.1%	15.7%	3.2%	4.80	3.76	+0.6
2024	37	MIX MLE	2 levels	61	0	60	258	53	13	8	0%	1.0	20.9%	5.1%	15.7%	3.2%	4.80	3.76	+0.6
2024	37	MIX RAW	2 levels	61	0	60	258	53	13	8	0%	1.0	20.5%	5.0%	15.5%	3.1%	4.80	3.72	+0.6
2025	38	MIX MLE	2 levels	59	1	56	237	49	21	2	2%	1.0	20.6%	9.0%	11.6%	0.8%	3.36	2.96	+1.1
2025	38	MIX MLE	2 levels	59	1	56	237	49	21	2	2%	1.0	20.6%	9.0%	11.6%	0.8%	3.36	2.96	+1.1
2025	38	MIX RAW	2 levels	59	1	56	237	49	21	2	2%	1.0	20.7%	8.9%	11.8%	0.8%	3.36	2.94	+1.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			581	4	553	2424	518	201	50	1%	1.0	21.4%	8.3%	13.1%	2.1%	4.17	3.49	+6.9
▸ 2026 season
YTD	39	MLB MLE	Minnesota Twins	17	0	17	82	7	6	3	0%	1.0	8.1%	8.1%	0.0%	2.7%	8.47	4.92	-0.1
YTD	39	MLB MLE	Minnesota Twins	17	0	17	82	7	6	3	0%	1.0	8.1%	8.1%	0.0%	2.7%	8.47	4.92	-0.1
▸ 2026 season — so far · projected rest · full
2026	39	AAA RAW	MIN	2	0	2	8	1	0	1	0%	1.0	12.5%	0.0%	12.5%	12.5%	4.50	8.91	—
2026	39	MLB RAW	MIN	15	0	15	74	6	6	2	0%	1.0	8.1%	8.1%	0.0%	2.7%	9.00	4.93	-0.1
SO FAR	39	MLB RAW	MIN	15	0	15	74	6	6	2	0%	1.0	8.1%	8.1%	0.0%	2.7%	9.00	4.93	-0.1
ROS	39	MLB MLE	MIN	4	0	4	18	3	1	0	0%	1.0	18.4%	7.9%	10.5%	2.3%	3.93	3.80	+0.0
ROS	39	MLB CTX	MIN	4	0	4	17	3	1	0	0%	1.0	18.4%	7.9%	10.5%	2.3%	3.93	3.80	+0.0
2026 TOT	39	MLB MLE	MIN	—	—	21	100	10	7	3	—	—	10.3%	7.4%	2.9%	3.4%	7.57	4.70	-0.0
FULL	39	MLB A+C	MIN	—	—	19	81	10	7	3	—	—	12.7%	9.1%	3.5%	4.2%	8.36	5.49	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	40	MLB MLE	MIN	38	0	40	167	30	14	5	0%	1.0	17.8%	8.6%	9.2%	2.8%	4.46	4.58	-0.0
2027	40	MLB CTX	MIN	38	0	40	169	30	15	5	0%	1.1	17.8%	8.6%	9.2%	2.8%	4.46	4.58	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		623	4	597	2609	551	217	55	1%	1.0	21.1%	8.3%	12.8%	2.1%	4.18	3.53	+7.3
/ 200 IP	—	RAW		209	1	200	874	185	73	18	1%	1.0	21.1%	8.3%	12.8%	2.1%	4.18	3.53	+2.4
Career	—	MLE		661	6	639	2776	595	234	55	1%	1.0	21.4%	8.4%	13.0%	2.0%	4.00	3.46	+7.0
/ 200 IP	—	MLE		207	2	200	869	186	73	17	1%	1.0	21.4%	8.4%	13.0%	2.0%	4.00	3.46	+2.3

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
Luis García (OGILVIE)	—	—	3.89	21.7%	7.9%	2.3%	—	4.58	17.8%	9.2%	40	+0.69	—	—	—
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	72
Fernando Rodney R 2016 · 3.43 FIP	39	SU	3.43	26.1%	12.0%	1.9%	.288	3.54	25.4%	14.2%	167	+0.11	2.69	295	70
Joaquín Benoit R 2016 · 3.72 FIP	39	SU	3.72	25.5%	11.3%	2.5%	.258	4.48	21.6%	11.7%	50	+0.76	3.58	164	70
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	69
Santiago Casilla R 2018 · 4.14 FIP	38	SU	4.14	16.8%	15.2%	1.0%	.248	—	—	—	—	—	3.50	219	65
Matt Belisle R 2018 · 4.60 FIP	38	SU	4.60	15.4%	6.2%	3.7%	.355	—	—	—	—	—	2.51	174	65
Manny Acosta R 2019 · 3.08 FIP	38	SU	3.08	23.2%	13.3%	0.5%	.303	—	—	—	—	—	3.08	102	65
Luis Ayala R 2017 · 4.00 FIP	39	SU	4.00	15.9%	11.7%	1.4%	.340	—	—	—	—	—	3.03	119	62
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	61
Peter Moylan R 2018 · 4.77 FIP	39	SU	4.77	17.8%	11.6%	3.1%	.322	—	—	—	—	—	3.11	174	61
Daniel Bard R 2023 · 4.95 FIP	38	SU	4.95	20.3%	19.8%	1.9%	.224	—	—	—	—	—	2.56	200	57
Brad Ziegler R 2018 · 4.03 FIP	38	SU	4.03	16.4%	6.2%	2.8%	.276	—	—	—	—	—	2.63	257	47
Jason Grilli R 2016 · 4.13 FIP	39	SU	4.13	32.3%	12.4%	4.0%	.264	5.58	26.1%	16.3%	40	+1.45	2.05	133	45
Darren O'Day R 2022 · 3.59 FIP	39	SU	3.59	27.7%	8.5%	3.2%	.281	—	—	—	—	—	2.01	215	41
Neal Cotts L 2017 · 3.21 FIP	37	SU	3.21	25.5%	8.0%	2.3%	.273	—	—	—	—	—	3.21	156	33
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	32
Ryan Vogelsong R 2016 · 4.79 FIP	39	SP-	4.79	16.7%	10.4%	3.2%	.270	—	—	—	—	—	4.45	217	31
Horacio Ramirez L 2019 · 4.65 FIP	39	SU	4.65	5.7%	6.0%	2.3%	.233	—	—	—	—	—	3.39	199	29

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	43	19.9%	8.2%	0.97	4.22
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Derek Law ('24)	1.5	60	21.5%	8.9%	0.88	3.47
Cory Gearrin ('19)	1.1	57	21.5%	9.8%	0.79	3.42
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79