Grant Holman

P Lehigh Valley IronPigs

Age 27 RHP 6'6" / 250 lbs AAA peak 0.1 · 2027

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX3 levels	58	0	64	1.40	2.73	27.0%	11.6%	1.4	K 23.6% · BB 11.4% · FIP 3.02
2025	25	MIX2 levels	30	2	32	3.62	3.63	19.7%	7.6%	0.4	K 16.5% · BB 8.7% · FIP 4.45
2026	26	MIX3 levels	28	1	34	4.01	4.29	23.3%	6.8%	0.1	K 19.8% · BB 6.2% · FIP 4.54
2027PROJ	27	MLBPHI	38	0	40	4.60	4.61	21.4%	9.8%	-0.0
2028PROJ83% MLB	28	MLBPHI	33	0	35	4.63	4.67	21.5%	9.9%	-0.0
2029PROJ86% MLB	29	MLBPHI	30	0	32	4.72	4.80	21.1%	10.1%	-0.1

Last 3 seasons WAR 1.9 · Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

FB Velo51

xwOBA vs16

K%11

Career WAR0.0 WAR median (P10 -0.2 / P90 0.9, comp-based) · star 0% · didn't stick 94%

CompsC.C. Lee (age 27) · Francisco Del Rosario (age 26) · Brian Sanches (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.60

FIP4.61

K%21.4%

BB%9.8%

K-BB%11.6%

Proj IP54

Value2027 · WAR

Runs saved vs league avg · 54 IP

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL4040

CMD3535

K†5050

Statcast Percentiles

FB Velo

p5194.6

Whiff%

p6527.7%

p1116.5%

xwOBA vs

p160.352

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	21	A MLE	Stockton Ports	6	4	15	61	15	4	3	67%	2.5	18.2%	7.7%	10.5%	5.5%	4.20	5.55	—
2021	21	A RAW	Stockton Ports	6	4	15	61	15	4	3	67%	2.5	24.6%	6.6%	18.0%	4.9%	4.20	4.50	—
2022	22	MIX MLE	2 levels	11	9	42	178	40	7	3	82%	3.8	17.4%	3.7%	13.7%	1.7%	4.75	3.04	—
2022	22	MIX RAW	2 levels	11	9	42	178	40	7	3	82%	3.8	22.5%	3.9%	18.5%	1.7%	4.75	2.62	—
2023	23	MIX MLE	3 levels	35	5	44	196	60	17	8	14%	1.3	25.0%	6.8%	18.2%	6.9%	4.26	5.62	—
2023	23	MIX RAW	3 levels	35	5	44	196	60	17	8	14%	1.3	30.6%	8.7%	21.9%	4.1%	4.26	3.89	—
2024	24	MIX MLE	3 levels	58	0	64	259	70	30	2	0%	1.1	23.6%	11.4%	12.2%	0.8%	1.40	3.02	+1.2
2024	24	MIX MLE	3 levels	58	0	64	259	70	30	2	0%	1.1	23.6%	11.4%	12.2%	0.8%	1.40	3.02	+1.2
2024	24	MIX RAW	3 levels	58	0	64	259	70	30	2	0%	1.1	27.0%	11.6%	15.4%	0.8%	1.40	2.73	+1.4
2025	25	MIX MLE	2 levels	30	2	32	132	26	10	3	7%	1.1	16.5%	8.7%	7.8%	3.0%	3.62	4.45	+0.0
2025	25	MIX MLE	2 levels	30	2	32	132	26	10	3	7%	1.1	16.5%	8.7%	7.8%	3.0%	3.62	4.45	+0.0
2025	25	MIX RAW	2 levels	30	2	32	132	26	10	3	7%	1.1	19.7%	7.6%	12.1%	2.3%	3.62	3.63	+0.4
2026	26	MIX MLE	3 levels	28	1	34	146	34	10	6	4%	1.2	19.8%	6.2%	13.6%	4.2%	4.01	4.54	+0.0
2026	26	MIX MLE	3 levels	28	1	34	146	34	10	6	4%	1.2	19.8%	6.2%	13.6%	4.2%	4.01	4.54	+0.0
2026	26	MIX RAW	3 levels	28	1	34	146	34	10	6	4%	1.2	23.3%	6.8%	16.4%	4.1%	4.01	4.29	+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			41	2	39	183	33	18	4	5%	1.0	18.0%	9.8%	8.2%	2.2%	4.62	4.13	+0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	PHI	38	0	40	169	36	17	5	0%	1.1	21.4%	9.8%	11.6%	3.1%	4.60	4.61	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	PHI	41	0	43	182	39	18	6	0%	1.0	21.5%	9.9%	11.6%	3.2%	4.63	4.67	-0.1
2029	29	MLB MLE	PHI	35	0	37	155	33	16	5	0%	1.0	21.1%	10.1%	11.0%	3.3%	4.72	4.80	-0.1
2028	28	MLB CTX	PHI	33	0	35	148	32	15	5	0%	1.1	21.5%	9.9%	11.6%	3.2%	4.63	4.67	-0.0
2029	29	MLB CTX	PHI	30	0	32	135	28	14	4	0%	1.1	21.1%	10.1%	11.0%	3.3%	4.72	4.80	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		105	2	106	467	93	46	13	2%	1.0	20.0%	9.9%	10.1%	2.8%	4.65	4.22	+0.4
/ 200 IP	—	RAW		198	4	200	879	175	87	24	2%	1.0	20.0%	9.9%	10.1%	2.8%	4.65	4.22	+0.8
Career	—	MLE		168	21	231	972	203	75	32	12%	1.4	20.9%	7.7%	13.2%	3.3%	3.42	4.13	+0.0
/ 200 IP	—	MLE		145	18	200	840	175	65	28	12%	1.4	20.9%	7.7%	13.2%	3.3%	3.42	4.13	+0.0

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 AAALehigh Valley IronPigs · 31 IPFIP 4.14 → 4.54 (+0.40)K% 23.1% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.08%	—	×0.860	19.85%
BB% (unintentional) /BF	6.92%	—	×0.900	6.23%
HR / BF /BF	3.85%	÷1.000	×1.100	4.23%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 4.14 → 4.54, 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 AAALas Vegas Aviators · 9 IPFIP 0.92 → 1.24 (+0.32)K% 31.0% → 26.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.03%	—	×0.860	26.69%
BB% (unintentional) /BF	3.45%	—	×0.900	3.10%
HR / BF /BF	0.00%	÷1.183	×1.100	0.00%

Result: FIP 0.92 → 1.24, 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 AAALas Vegas Aviators · 29 IPFIP 2.80 → 3.02 (+0.21)K% 26.3% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.32%	—	×0.860	22.63%
BB% (unintentional) /BF	11.40%	—	×0.900	10.26%
HR / BF /BF	0.88%	÷1.001	×1.100	0.96%

Result: FIP 2.80 → 3.02, 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 AAMidland RockHounds · 19 IPFIP 1.87 → 2.56 (+0.69)K% 33.3% → 27.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.810	27.00%
BB% (unintentional) /BF	12.50%	—	×1.100	13.75%
HR / BF /BF	0.00%	÷0.940	×1.200	0.00%

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 88).

Result: FIP 1.87 → 2.56, 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 AAMidland RockHounds · 32 IPFIP 4.29 → 5.62 (+1.34)K% 30.8% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.82%	—	×0.810	24.97%
BB% (unintentional) /BF	6.16%	—	×1.100	6.78%
HR / BF /BF	5.48%	÷0.957	×1.200	6.87%

Result: FIP 4.29 → 5.62, 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 A+Lansing Lugnuts · 9 IPFIP 1.41 → 2.35 (+0.94)K% 37.1% → 28.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.14%	—	×0.770	28.60%
BB% (unintentional) /BF	11.43%	—	×1.150	13.14%
HR / BF /BF	0.00%	÷1.209	×1.250	0.00%

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 142).

Result: FIP 1.41 → 2.35, 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 A+Lansing Lugnuts · 37 IPFIP 2.31 → 3.04 (+0.73)K% 22.6% → 17.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.58%	—	×0.770	17.39%
BB% (unintentional) /BF	3.23%	—	×1.150	3.71%
HR / BF /BF	1.29%	÷0.944	×1.250	1.71%

Result: FIP 2.31 → 3.04, 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 Athletics · 5 IPFIP 4.75 → 6.74 (+1.99)K% 21.7% → 14.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.74%	—	×0.680	14.78%
BB% (unintentional) /BF	8.70%	—	×1.250	10.87%
HR / BF /BF	4.35%	÷0.950	×1.400	6.40%

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 90).

Result: FIP 4.75 → 6.74, 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
Grant Holman (OGILVIE)	—	—	4.61	21.4%	9.8%	3.1%	—	4.73	21.3%	11.3%	80	+0.12	—	—	—
C.C. Lee R 2014 · 3.77 FIP	27	SU	3.77	20.5%	8.7%	2.4%	.310	2.80	25.7%	17.6%	96	-0.97	2.59	149	84
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	82
Brian Sanches R 2006 · 5.30 FIP	27	SU	5.30	22.4%	10.2%	5.1%	.295	4.52	19.0%	10.1%	82	-0.78	3.39	229	81
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	80
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	80
Greg Aquino R 2005 · 5.03 FIP	27	SU	5.03	21.9%	10.3%	4.5%	.357	4.34	22.5%	13.3%	62	-0.69	4.10	154	80
Michael Dimock R 2017 · 4.12 FIP	27	SU	4.12	18.9%	7.8%	2.9%	.339	3.37	23.5%	12.8%	29	-0.75	3.08	166	80
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	80
Brad Deppermann R 2023 · 4.25 FIP	27	SU	4.25	22.7%	9.4%	3.4%	.417	2.87	19.5%	13.2%	71	-1.38	1.94	143	79
Scott Proctor R 2004 · 5.43 FIP	27	SU	5.43	17.8%	11.9%	4.2%	.308	4.36	18.8%	11.0%	233	-1.07	3.68	337	79
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	78
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	78
Jack Hartman R 2024 · 4.34 FIP	26	SU	4.34	20.9%	8.8%	3.4%	.310	4.29	17.6%	5.6%	46	-0.05	3.46	161	78
Brandon Gomes R 2011 · 3.74 FIP	27	SU	3.74	20.0%	10.0%	1.9%	.284	4.17	22.3%	15.2%	71	+0.43	3.48	190	77
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	77
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	77
Jeff Fulchino R 2008 · 4.62 FIP	28	SU	4.62	16.7%	11.1%	2.8%	.380	3.86	21.0%	12.4%	164	-0.76	3.36	178	77
Scott Dohmann R 2005 · 4.93 FIP	27	SU	4.93	24.5%	12.6%	4.2%	.321	4.69	18.9%	7.5%	96	-0.24	4.28	173	77
Hueston Morrill R 2024 · 4.54 FIP	24	SU	4.54	19.8%	8.7%	3.7%	.302	3.24	19.0%	8.2%	54	-1.30	3.09	102	77
Jason Motte R 2009 · 4.62 FIP	27	SU	4.62	22.1%	9.0%	4.1%	.297	2.84	26.9%	21.0%	192	-1.78	2.22	387	77

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	43	20.5%	10.0%	1.14	4.64
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Kevin Quackenbush ('21)	1.0	52	21.0%	9.2%	1.04	4.41
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*