Jaime García

PosP

B/TL/L

Born1986-07-08

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBRPLAST SEASON 2018

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2016	30	MLBSTL	32	30	172	4.67	4.27	20.2%	7.3%	2.3
2017	31	MLBNYY	27	27	157	4.41	4.07	19.2%	8.8%	2.5
2018	32	MIX2 levels	34	15	83	5.75	4.85	20.2%	11.3%	-0.3	K 19.8% · BB 11.4% · FIP 4.88
2019	33	No MLB games played
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR 4.5

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2015	29	MLBSTL	44	.098/.140/.098	0	0	-36	-0.6
2016	30	MLBSTL	51	.171/.209/.171	0	0	-11	-0.6
2017	31	MLBNYY	37	.152/.176/.273	1	0	8	-0.3
2018	32	No MLB games played
2019	33	No MLB games played
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR -1.5

Contract

No contract data on file.

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)
2008	22	MLB MLE	St. Louis Cardinals	10	1	16	69	8	8	4	10%	1.6	11.6%	11.6%	0.0%	5.8%	5.62	6.77	-0.4
2008	22	MLB RAW	St. Louis Cardinals	10	1	16	69	8	8	4	10%	1.6	11.6%	11.6%	0.0%	5.8%	5.62	6.85	-0.4
2010	24	MLB MLE	St. Louis Cardinals	28	28	163	695	132	60	9	100%	5.8	19.0%	8.6%	10.4%	1.4%	2.70	3.35	+4.1
2010	24	MLB RAW	St. Louis Cardinals	28	28	163	695	132	60	9	100%	5.8	19.0%	8.6%	10.4%	1.3%	2.70	3.30	+4.2
2011	25	MLB MLE	St. Louis Cardinals	32	32	195	826	156	48	15	100%	6.1	18.9%	5.8%	13.1%	2.0%	3.56	3.31	+5.0
2011	25	MLB RAW	St. Louis Cardinals	32	32	195	826	156	48	15	100%	6.1	18.9%	5.8%	13.1%	1.8%	3.56	3.24	+5.2
2012	26	MLB MLE	St. Louis Cardinals	20	20	122	515	98	29	7	100%	6.1	19.0%	5.6%	13.4%	1.5%	3.92	3.01	+3.7
2012	26	MLB RAW	St. Louis Cardinals	20	20	122	515	98	29	7	100%	6.1	19.0%	5.6%	13.4%	1.4%	3.92	2.95	+3.8
2013	27	MLB MLE	St. Louis Cardinals	9	9	55	234	43	15	6	100%	6.1	18.4%	6.4%	12.0%	2.8%	3.58	3.87	+1.0
2013	27	MLB RAW	St. Louis Cardinals	9	9	55	234	43	15	6	100%	6.1	18.4%	6.4%	12.0%	2.6%	3.58	3.77	+1.1
2014	28	MLB MLE	St. Louis Cardinals	7	7	44	177	39	7	6	100%	6.2	22.0%	4.0%	18.1%	3.6%	4.12	3.74	+0.9
2014	28	MLB RAW	St. Louis Cardinals	7	7	44	177	39	7	6	100%	6.2	22.0%	4.0%	18.1%	3.4%	4.12	3.58	+1.0
2015	29	MIX MLE	4 levels	23	23	143	566	112	32	7	100%	6.2	19.0%	5.9%	13.1%	1.3%	2.64	2.93	+4.5
2015	29	MIX RAW	4 levels	23	23	143	566	112	32	7	100%	6.2	19.8%	5.7%	14.1%	1.2%	2.64	2.84	+4.7
2016	30	MLB MLE	St. Louis Cardinals	32	30	172	741	150	54	26	94%	5.4	20.2%	7.3%	13.0%	3.8%	4.67	4.38	+2.0
2016	30	MLB RAW	St. Louis Cardinals	32	30	172	741	150	54	26	94%	5.4	20.2%	7.3%	13.0%	3.5%	4.67	4.27	+2.3
2017	31	MLB MLE	New York Yankees	27	27	157	673	129	59	18	100%	5.8	19.2%	8.8%	10.4%	2.5%	4.41	3.97	+2.7
2017	31	MLB RAW	New York Yankees	27	27	157	673	129	59	18	100%	5.8	19.2%	8.8%	10.4%	2.7%	4.41	4.07	+2.5
2018	32	MIX MLE	2 levels	34	15	83	372	75	42	13	44%	2.4	19.8%	11.4%	8.4%	3.7%	5.75	4.88	-0.3
2018	32	MIX RAW	2 levels	34	15	83	372	75	42	13	44%	2.4	20.2%	11.3%	8.9%	3.5%	5.75	4.85	-0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			218	188	1135	4809	925	352	110	86%	5.2	19.2%	7.3%	11.9%	2.3%	3.85	3.66	+23.9
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		218	188	1135	4809	925	352	110	86%	5.2	19.2%	7.3%	11.9%	2.3%	3.85	3.66	+23.9
/ 200 IP	—	RAW		38	33	200	847	163	62	19	86%	5.2	19.2%	7.3%	11.9%	2.3%	3.85	3.66	+4.2
Career	—	MLE		222	192	1150	4868	936	356	116	86%	5.2	19.2%	7.3%	11.9%	2.4%	3.85	3.71	+23.9
/ 200 IP	—	MLE		39	33	200	847	163	62	20	86%	5.2	19.2%	7.3%	11.9%	2.4%	3.85	3.71	+4.2

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.

2015 AASpringfield Cardinals · 6 IPFIP 3.28 → 3.83 (+0.54)K% 26.1% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.09%	—	×0.810	21.13%
BB% (unintentional) /BF	0.00%	—	×1.100	0.00%
HR / BF /BF	4.35%	÷1.140	×1.200	4.58%

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 128).

Result: FIP 3.28 → 3.83, 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).