Jose Garces

P Greensboro Grasshoppers

Age 23 RHP 6'2" / 149 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	ROKPIT	12	5	24	5.32	6.10	16.2%	27.4%	—	K 11.0% · BB 34.2% · FIP 7.21
2025	21	MIX2 levels	41	0	50	3.40	3.82	19.3%	12.4%	—	K 14.6% · BB 14.4% · FIP 4.77
2026	22	A+PIT	38	0	46	9.20	7.51	21.7%	15.7%	—	K 16.7% · BB 18.0% · FIP 8.44
2027PROJ	23	MLBPIT	—	—	0	6.77	6.77	14.9%	19.7%	—
2028PROJ43% MLB	24	MLBPIT	22	0	23	6.35	6.24	16.7%	17.1%	-0.4
2029PROJ66% MLB	25	MLBPIT	20	0	21	6.03	5.91	17.7%	15.5%	-0.3

Next 3 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control30Command30

Career WAR0.0 WAR median (P10 -0.2 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsDerrick Turnbow (age 22) · Noah Takacs (age 22) · Garrett Apker (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 162154vR 145

ERA6.77

FIP6.77

K%14.9%

BB%19.7%

K-BB%-4.8%

Proj IP52

Value2027 · WAR

Runs saved vs league avg · 52 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL3030

CMD3030

K†3040

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)
2021	17	ROK MLE	DSL PIT Gold	12	9	30	138	32	15	0	75%	2.5	15.8%	13.6%	2.2%	0.0%	5.16	3.49	—
2021	17	ROK RAW	DSL PIT Gold	12	9	30	138	32	15	0	75%	2.5	23.2%	10.9%	12.3%	0.0%	5.16	2.46	—
2022	18	ROK MLE	FCL Pirates	10	0	18	98	19	21	2	0%	1.8	13.2%	26.8%	-13.6%	2.9%	8.00	6.98	—
2022	18	ROK RAW	FCL Pirates	10	0	18	98	19	21	2	0%	1.8	19.4%	21.4%	-2.0%	2.0%	8.00	5.93	—
2023	19	ROK MLE	FCL Pirates	10	3	24	124	17	21	0	30%	2.4	9.3%	21.2%	-11.8%	0.0%	8.62	4.99	—
2023	19	ROK RAW	FCL Pirates	10	3	24	124	17	21	0	30%	2.4	13.7%	16.9%	-3.2%	0.0%	8.62	4.31	—
2024	20	ROK MLE	FCL Pirates	12	5	24	117	19	32	1	42%	2.0	11.0%	34.2%	-23.1%	1.3%	5.32	7.21	—
2024	20	ROK MLE	FCL Pirates	12	5	24	117	19	32	1	42%	2.0	11.0%	34.2%	-23.1%	1.3%	5.32	7.21	—
2024	20	ROK RAW	FCL Pirates	12	5	24	117	19	32	1	42%	2.0	16.2%	27.4%	-11.1%	0.9%	5.32	6.10	—
2025	21	MIX MLE	2 levels	41	0	50	218	42	27	3	0%	1.2	14.6%	14.4%	0.2%	2.0%	3.40	4.77	—
2025	21	MIX MLE	2 levels	41	0	50	218	42	27	3	0%	1.2	14.6%	14.4%	0.2%	2.0%	3.40	4.77	—
2025	21	MIX RAW	2 levels	41	0	50	218	42	27	3	0%	1.2	19.3%	12.4%	6.9%	1.4%	3.40	3.82	—
2026	22	A+ MLE	Greensboro Grasshoppers	38	0	46	230	50	36	15	0%	1.2	16.7%	18.0%	-1.3%	8.2%	9.20	8.44	—
2026	22	A+ MLE	Greensboro Grasshoppers	38	0	46	230	50	36	15	0%	1.2	16.7%	18.0%	-1.3%	8.2%	9.20	8.44	—
2026	22	A+ RAW	Greensboro Grasshoppers	38	0	46	230	50	36	15	0%	1.2	21.7%	15.7%	6.1%	6.5%	9.20	7.51	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	PIT	—	—	0	—	—	—	—	—	—	14.9%	19.7%	-4.8%	3.7%	6.77	6.77	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	PIT	50	0	52	221	37	38	8	0%	1.0	16.7%	17.1%	-0.4%	3.6%	6.35	6.24	-0.9
2029	25	MLB MLE	PIT	31	0	32	136	24	21	5	0%	1.0	17.7%	15.5%	2.2%	3.6%	6.03	5.91	-0.5
2028	24	MLB CTX	PIT	22	0	23	97	16	17	4	0%	1.0	16.7%	17.1%	-0.4%	3.6%	6.35	6.24	-0.4
2029	25	MLB CTX	PIT	20	0	21	89	16	14	3	0%	1.1	17.7%	15.5%	2.2%	3.6%	6.03	5.91	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		42	0	44	186	32	30	7	0%	1.0	17.2%	16.3%	0.9%	3.6%	6.19	5.70	-0.6
/ 200 IP	—	RAW		190	0	200	844	145	136	32	0%	1.1	17.2%	16.3%	0.9%	3.6%	6.19	5.70	-2.7
Career	—	MLE		123	17	192	925	129	184	27	14%	1.6	14.0%	19.9%	-5.9%	3.0%	6.39	6.07	-1.5
/ 200 IP	—	MLE		128	18	200	965	135	192	29	14%	1.6	14.0%	19.9%	-5.9%	3.0%	6.39	6.07	-3.6

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.

2026 A+Greensboro Grasshoppers · 46 IPFIP 6.83 → 8.44 (+1.61)K% 21.7% → 16.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.74%	—	×0.770	16.74%
BB% (unintentional) /BF	15.65%	—	×1.150	18.00%
HR / BF /BF	6.52%	÷1.000	×1.250	8.15%

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 100).

Result: FIP 6.83 → 8.44, 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).

2025 ABradenton Marauders · 50 IPFIP 3.75 → 4.77 (+1.02)K% 19.7% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.72%	—	×0.740	14.59%
BB% (unintentional) /BF	12.21%	—	×1.180	14.40%
HR / BF /BF	1.41%	÷0.932	×1.300	1.96%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 86).

Result: FIP 3.75 → 4.77, 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).

2024 ROKFCL Pirates · 24 IPFIP 5.66 → 7.21 (+1.55)K% 16.2% → 11.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.24%	—	×0.680	11.04%
BB% (unintentional) /BF	27.35%	—	×1.250	34.19%
HR / BF /BF	0.85%	÷0.921	×1.400	1.30%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 84).

Result: FIP 5.66 → 7.21, 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).

2023 ROKFCL Pirates · 24 IPFIP 4.09 → 4.99 (+0.91)K% 13.7% → 9.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.71%	—	×0.680	9.32%
BB% (unintentional) /BF	16.94%	—	×1.250	21.17%
HR / BF /BF	0.00%	÷0.925	×1.400	0.00%

Result: FIP 4.09 → 4.99, 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).

2022 ROKFCL Pirates · 18 IPFIP 5.30 → 6.98 (+1.69)K% 19.4% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.39%	—	×0.680	13.18%
BB% (unintentional) /BF	21.43%	—	×1.250	26.79%
HR / BF /BF	2.04%	÷0.977	×1.400	2.92%

Result: FIP 5.30 → 6.98, 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 ROKDSL PIT Gold · 30 IPFIP 2.52 → 3.49 (+0.97)K% 23.2% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.19%	—	×0.680	15.77%
BB% (unintentional) /BF	10.87%	—	×1.250	13.59%
HR / BF /BF	0.00%	÷0.899	×1.400	0.00%

Result: FIP 2.52 → 3.49, 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
Jose Garces (OGILVIE)	—	—	6.77	14.9%	19.7%	3.7%	—	6.11	17.1%	0.6%	85	-0.66	—	—	—
Derrick Turnbow R 2000 · 6.58 FIP	22	SU	6.58	13.8%	19.9%	3.9%	.257	1.43	28.3%	22.6%	15	-5.15	1.43	245	90
Noah Takacs R 2024 · 5.77 FIP	22	SU	5.77	12.5%	16.4%	3.0%	.301	5.68	13.4%	-2.3%	91	-0.09	5.25	130	86
Garrett Apker R 2023 · 6.24 FIP	23	SW	6.24	15.0%	18.8%	3.7%	.343	4.93	18.9%	5.2%	53	-1.31	4.01	101	85
Jonathan Teaney R 2019 · 5.65 FIP	23	SU	5.65	16.4%	15.7%	3.5%	.301	—	—	—	—	—	4.77	108	84
Bernard Jose R 2024 · 6.14 FIP	21	SU	6.14	14.4%	19.0%	3.4%	.309	4.95	18.5%	6.4%	134	-1.19	4.44	222	84
Carlos Polanco R 2017 · 5.71 FIP	23	SU	5.71	13.9%	20.0%	2.3%	.267	—	—	—	—	—	3.70	276	84
Alec Kenilvort R 2016 · 6.44 FIP	23	SU	6.44	15.1%	17.0%	4.5%	.333	3.97	18.3%	9.1%	85	-2.47	2.97	109	84
Roman Phansalkar R 2022 · 6.38 FIP	24	SU	6.38	13.5%	18.4%	3.8%	.245	4.77	17.4%	4.0%	147	-1.61	4.33	164	84
Nelson L. Alvarez R 2021 · 7.19 FIP	23	SU	7.19	15.8%	18.4%	5.6%	.288	3.63	24.7%	11.3%	158	-3.56	2.58	233	83
Chay Yeager R 2024 · 5.60 FIP	21	SU	5.60	13.1%	15.7%	2.9%	.261	4.20	22.8%	12.5%	56	-1.40	4.20	110	83
Edgar Navarro R 2021 · 6.23 FIP	23	SU	6.23	13.3%	17.7%	3.7%	.297	4.18	19.0%	2.4%	87	-2.05	3.30	244	82
Audry Lugo R 2022 · 5.76 FIP	23	SU	5.76	13.7%	16.3%	3.2%	.344	—	—	—	—	—	4.05	113	82
Dallas Woolfolk R 2021 · 6.62 FIP	24	SU	6.62	12.9%	21.9%	3.3%	.324	5.12	14.0%	0.7%	50	-1.50	5.12	100	82
Abel Brito R 2024 · 6.24 FIP	23	SU	6.24	14.0%	23.6%	2.4%	.301	—	—	—	—	—	4.13	147	82
German Taveras R 2016 · 6.41 FIP	23	SU	6.41	10.9%	15.7%	4.1%	.325	—	—	—	—	—	4.57	108	81
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	81
Mason Denaburg R 2023 · 7.92 FIP	23	SU	7.92	11.9%	28.1%	4.1%	.314	4.48	13.9%	-2.1%	56	-3.44	4.48	151	81
Johnathan Lavallee R 2023 · 6.17 FIP	23	SU	6.17	17.1%	18.6%	3.9%	.356	4.23	22.9%	9.7%	144	-1.94	3.72	210	81
Yunior Thibo R 2021 · 6.35 FIP	23	SU	6.35	11.5%	15.8%	4.0%	.312	4.82	15.6%	-1.0%	95	-1.53	4.42	110	81
Jake Gozzo R 2021 · 7.10 FIP	24	SU	7.10	14.3%	30.2%	2.5%	.200	5.35	15.8%	-0.7%	129	-1.75	4.32	162	80

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	0.7	46	16.3%	17.7%	1.42	6.44
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*