Yorman Galindez

P Biloxi Shuckers

Age 24 RHP 6'1" / 160 lbs AA peak 0.2 · 2028

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	20	MIX2 levels	14	9	56	3.88	2.72	27.1%	13.3%	—	K 18.9% · BB 16.5% · FIP 3.87
2024	21	ACarolina Mudc…	11	11	40	2.45	2.36	38.3%	14.4%	—	K 28.4% · BB 17.0% · FIP 3.63
2026	23	MIX2 levels	26	15	67	6.55	4.44	19.9%	13.2%	—	K 15.9% · BB 14.7% · FIP 5.12
2027PROJ	24	MLBMIL	1	1	1	5.42	5.42	17.2%	14.2%	-0.0
2028PROJ44% MLB	25	MLBMIL	4	4	21	5.18	5.09	18.8%	12.6%	0.1
2029PROJ67% MLB	26	MLBMIL	5	5	30	5.04	4.98	19.7%	12.3%	0.1

Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.2 / P90 1.5, comp-based) · star 0% · didn't stick 93%

CompsZach Linginfelter (age 24) · Ray Gaither (age 24) · Carlos Torres (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136128vR 120

ERA5.42

FIP5.42

K%17.2%

BB%14.2%

K-BB%3.0%

Proj IP44

Value2027 · WAR

Runs saved vs league avg · 44 IP

Grades · Contract

Scouting Grades

K†4045

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)
2022	19	ROK MLE	ACL Brewers Gold	13	4	38	178	50	26	3	31%	2.9	19.1%	18.3%	0.8%	2.1%	6.45	4.93	—
2022	19	ROK RAW	ACL Brewers Gold	13	4	38	178	50	26	3	31%	2.9	28.1%	14.6%	13.5%	1.7%	6.45	3.55	—
2023	20	MIX MLE	2 levels	14	9	56	240	65	32	1	64%	4.0	18.9%	16.5%	2.5%	0.5%	3.88	3.87	—
2023	20	MIX RAW	2 levels	14	9	56	240	65	32	1	64%	4.0	27.1%	13.3%	13.7%	0.4%	3.88	2.72	—
2024	21	A MLE	Carolina Mudcats	11	11	40	167	64	24	2	100%	3.7	28.4%	17.0%	11.4%	1.4%	2.45	3.63	—
2024	21	A MLE	Carolina Mudcats	11	11	40	167	64	24	2	100%	3.7	28.4%	17.0%	11.4%	1.4%	2.45	3.63	—
2024	21	A RAW	Carolina Mudcats	11	11	40	167	64	24	2	100%	3.7	38.3%	14.4%	24.0%	1.2%	2.45	2.36	—
2026	23	MIX MLE	2 levels	26	15	67	311	62	41	7	58%	2.6	15.9%	14.7%	1.1%	2.7%	6.55	5.12	—
2026	23	MIX MLE	2 levels	26	15	67	311	62	41	7	58%	2.6	15.9%	14.7%	1.1%	2.7%	6.55	5.12	—
2026	23	MIX RAW	2 levels	26	15	67	311	62	41	7	58%	2.6	19.9%	13.2%	6.8%	2.3%	6.55	4.44	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	MIL	1	1	1	4	1	1	0	100%	1.0	17.2%	14.2%	3.0%	2.9%	5.42	5.42	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	MIL	8	8	48	202	38	26	6	100%	6.0	18.8%	12.6%	6.2%	2.9%	5.18	5.09	+0.2
2029	26	MLB MLE	MIL	7	7	44	187	37	23	5	100%	6.3	19.7%	12.3%	7.3%	2.9%	5.04	4.98	+0.2
2030	27	MLB MLE	MIL	7	7	42	178	35	22	5	100%	6.0	19.8%	12.2%	7.6%	3.0%	4.99	4.99	+0.2
2028	25	MLB CTX	MIL	4	4	21	89	17	11	3	100%	5.2	18.8%	12.6%	6.2%	2.9%	5.18	5.09	+0.1
2029	26	MLB CTX	MIL	5	5	30	127	25	16	4	100%	6.0	19.7%	12.3%	7.3%	2.9%	5.04	4.98	+0.1
2030	27	MLB CTX	MIL	6	6	33	139	28	17	4	100%	5.5	19.8%	12.2%	7.6%	3.0%	4.99	4.99	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	14	83	352	69	44	10	100%	6.0	19.5%	12.4%	7.1%	2.9%	5.06	4.63	+0.7
/ 200 IP	—	RAW		34	34	200	844	166	106	24	100%	6.0	19.5%	12.4%	7.1%	2.9%	5.06	4.63	+1.8
Career	—	MLE		64	39	201	896	176	146	16	61%	3.1	19.6%	16.3%	3.3%	1.8%	4.97	4.47	+0.6
/ 200 IP	—	MLE		64	39	200	892	175	145	16	61%	3.1	19.6%	16.3%	3.3%	1.8%	4.97	4.47	+0.9

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 AABiloxi Shuckers · 48 IPFIP 4.48 → 5.18 (+0.70)K% 17.9% → 14.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.89%	—	×0.810	14.49%
BB% (unintentional) /BF	12.84%	—	×1.100	14.13%
HR / BF /BF	2.29%	÷1.000	×1.200	2.75%

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 100).

Result: FIP 4.48 → 5.18, 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).

2026 A+Wisconsin Timber Rattlers · 20 IPFIP 3.96 → 5.00 (+1.04)K% 24.7% → 19.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.73%	—	×0.770	19.04%
BB% (unintentional) /BF	13.98%	—	×1.150	16.08%
HR / BF /BF	2.15%	÷1.000	×1.250	2.69%

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 3.96 → 5.00, 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 ACarolina Mudcats · 40 IPFIP 2.34 → 3.63 (+1.29)K% 38.3% → 28.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.32%	—	×0.740	28.36%
BB% (unintentional) /BF	14.37%	—	×1.180	16.96%
HR / BF /BF	1.20%	÷1.101	×1.300	1.41%

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 120).

Result: FIP 2.34 → 3.63, 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 ROKACL Brewers · 38 IPFIP 2.73 → 3.89 (+1.16)K% 26.0% → 17.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.01%	—	×0.680	17.69%
BB% (unintentional) /BF	14.45%	—	×1.250	18.06%
HR / BF /BF	0.00%	÷0.898	×1.400	0.00%

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 80).

Result: FIP 2.73 → 3.89, 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 ACarolina Mudcats · 18 IPFIP 2.72 → 3.79 (+1.07)K% 29.9% → 22.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.85%	—	×0.740	22.09%
BB% (unintentional) /BF	10.45%	—	×1.180	12.33%
HR / BF /BF	1.49%	÷1.072	×1.300	1.81%

Result: FIP 2.72 → 3.79, 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 ROKACL Brewers Gold · 38 IPFIP 3.50 → 4.93 (+1.43)K% 28.1% → 19.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.09%	—	×0.680	19.10%
BB% (unintentional) /BF	14.61%	—	×1.250	18.26%
HR / BF /BF	1.69%	÷1.144	×1.400	2.06%

Result: FIP 3.50 → 4.93, 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
Yorman Galindez (OGILVIE)	—	—	5.42	17.2%	14.2%	2.9%	—	5.02	19.4%	7.0%	134	-0.40	—	—	—
Zach Linginfelter R 2021 · 5.53 FIP	24	SP-	5.53	19.1%	16.0%	3.7%	.295	5.01	18.8%	-0.6%	46	-0.52	3.62	109	89
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	84
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	82
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	81
Jonathan Hughes R 2021 · 4.60 FIP	24	SP-	4.60	12.9%	12.5%	1.8%	.351	3.79	16.5%	6.2%	146	-0.81	3.44	219	81
Daniel Corcino R 2014 · 4.37 FIP	23	SP-	4.37	18.8%	12.5%	2.3%	.208	4.14	19.6%	10.0%	76	-0.23	3.84	318	80
Alfredo Figaro R 2009 · 4.98 FIP	25	SP-	4.98	19.3%	12.0%	3.6%	.370	4.42	7.2%	-1.5%	15	-0.56	3.75	143	80
Jeff Manship R 2009 · 4.69 FIP	24	SW	4.69	14.4%	10.3%	2.7%	.330	4.23	14.9%	9.5%	51	-0.46	2.83	250	79
David Rodriguez R 2024 · 4.50 FIP	22	SP-	4.50	13.5%	11.7%	1.9%	.316	3.85	16.9%	9.9%	125	-0.65	3.80	184	79
Kyle Larsen R 2024 · 5.54 FIP	21	SP-	5.54	15.8%	17.9%	2.8%	.274	4.95	19.9%	6.2%	83	-0.59	4.83	143	78
Cole Percival R 2023 · 4.33 FIP	24	SP-	4.33	17.0%	14.3%	1.6%	.335	4.23	18.6%	8.6%	99	-0.10	3.58	327	78
Holt Jones R 2023 · 5.06 FIP	24	SP-	5.06	16.1%	17.9%	1.9%	.285	4.33	21.4%	7.0%	173	-0.73	4.21	254	78
Tanner Burns R 2023 · 5.27 FIP	24	SW	5.27	19.4%	12.5%	4.0%	.257	4.95	18.3%	5.2%	131	-0.32	4.34	382	77
J.P. Massey R 2024 · 4.72 FIP	24	SP	4.72	16.1%	14.2%	2.1%	.283	5.71	15.5%	-1.3%	46	+0.99	4.72	195	77
Angel Guzman R 2006 · 4.73 FIP	24	SP-	4.73	22.1%	13.2%	3.3%	.353	3.88	19.6%	12.0%	91	-0.85	3.13	147	77
Eriq Swan R 2024 · 4.85 FIP	22	SP-	4.85	19.7%	17.3%	2.2%	.371	5.28	19.7%	0.9%	109	+0.43	4.85	132	77
Jacob Meador R 2024 · 5.34 FIP	23	SP-	5.34	15.6%	14.0%	3.2%	.301	6.73	14.7%	-6.6%	50	+1.39	5.34	139	77
Ryan Jensen R 2001 · 5.03 FIP	25	SP-	5.03	13.5%	13.0%	2.6%	.285	4.82	13.4%	5.2%	185	-0.21	4.35	253	76
Wirkin Estevez R 2016 · 5.39 FIP	24	SW	5.39	10.7%	13.4%	2.7%	.316	4.46	12.3%	3.5%	179	-0.93	4.37	238	76
Jeff Niemann R 2008 · 5.04 FIP	25	SW	5.04	18.4%	10.5%	4.0%	.294	4.16	17.4%	10.3%	490	-0.88	2.96	544	76

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	0.9	45	18.9%	12.9%	1.13	5.16
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Mike Mohler ('01)	2.1	60	15.0%	12.4%	0.97	4.99