Henry Henry

P Brooklyn Cyclones

Age 28 RHP 6'4" / 215 lbs A+

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	23	AASD	34	10	80	5.20	3.90	22.3%	14.8%	—	K 18.1% · BB 16.3% · FIP 4.65
2023	24	MIX2 levels	34	3	50	5.19	4.75	16.2%	15.4%	—	K 12.9% · BB 17.0% · FIP 5.58
2024	25	MIX2 levels	15	0	18	9.82	3.86	20.2%	13.8%	—	K 15.2% · BB 16.4% · FIP 4.46
2027PROJ	28	MLBNYM	10	0	10	4.63	4.63	22.1%	10.9%	-0.0
2028PROJ30% MLB	29	MLBNYM	6	0	6	4.68	4.73	22.0%	11.0%	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsSpencer Bivens (age 28) · Jim Miller (age 30) · Wirfin Obispo (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.63

FIP4.63

K%22.1%

BB%10.9%

K-BB%11.2%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 IP

Grades · Contract

Scouting Grades

K†5555

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 + 2027 so far)
2016	17	ROK MLE	AZL Padres	11	6	35	158	37	13	0	55%	3.2	15.9%	10.3%	5.6%	0.0%	4.89	3.06	—
2016	17	ROK RAW	AZL Padres	11	6	35	158	37	13	0	55%	3.2	23.4%	8.2%	15.2%	0.0%	4.89	2.10	—
2017	18	ROK MLE	AZL Padres 2	1	1	6	22	6	0	1	100%	6.0	27.3%	0.0%	27.3%	4.5%	1.50	3.29	—
2017	18	ROK RAW	AZL Padres 2	1	1	6	22	6	0	1	100%	6.0	27.3%	0.0%	27.3%	4.5%	1.50	3.27	—
2018	19	A MLE	Fort Wayne TinCaps	7	2	18	83	11	14	0	29%	2.5	9.8%	19.9%	-10.1%	0.0%	8.66	4.79	—
2018	19	A RAW	Fort Wayne TinCaps	7	2	18	83	11	14	0	29%	2.5	13.3%	16.9%	-3.6%	0.0%	8.66	4.23	—
2019	20	A MLE	Fort Wayne TinCaps	43	0	81	336	80	11	3	0%	1.9	17.6%	3.9%	13.8%	1.0%	3.32	2.65	—
2019	20	A RAW	Fort Wayne TinCaps	43	0	81	336	80	11	3	0%	1.9	23.8%	3.3%	20.5%	0.9%	3.32	2.02	—
2021	22	AA MLE	San Antonio Missions	38	0	67	289	59	31	3	0%	1.8	16.5%	11.8%	4.7%	1.4%	3.90	3.99	—
2021	22	AA RAW	San Antonio Missions	38	0	67	289	59	31	3	0%	1.8	20.4%	10.7%	9.7%	1.0%	3.90	3.31	—
2022	23	AA MLE	San Antonio Missions	34	10	80	372	83	55	5	29%	2.3	18.1%	16.3%	1.8%	1.9%	5.20	4.65	—
2022	23	AA RAW	San Antonio Missions	34	10	80	372	83	55	5	29%	2.3	22.3%	14.8%	7.5%	1.3%	5.20	3.90	—
2023	24	MIX MLE	2 levels	34	3	50	228	37	35	4	9%	1.5	12.9%	17.0%	-4.1%	2.6%	5.19	5.58	—
2023	24	MIX RAW	2 levels	34	3	50	228	37	35	4	9%	1.5	16.2%	15.4%	0.9%	1.8%	5.19	4.75	—
2024	25	MIX MLE	2 levels	15	0	18	94	19	13	1	0%	1.2	15.2%	16.4%	-1.2%	1.0%	9.82	4.46	—
2024	25	MIX MLE	2 levels	15	0	18	94	19	13	1	0%	1.2	15.2%	16.4%	-1.2%	1.0%	9.82	4.46	—
2024	25	MIX RAW	2 levels	15	0	18	94	19	13	1	0%	1.2	20.2%	13.8%	6.4%	1.1%	9.82	3.86	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	NYM	10	0	10	42	9	5	1	0%	1.0	22.1%	10.9%	11.2%	3.0%	4.63	4.63	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	NYM	19	0	20	84	19	9	3	0%	1.1	22.0%	11.0%	11.0%	3.1%	4.68	4.73	-0.0
2028	29	MLB CTX	NYM	6	0	6	25	6	3	1	0%	1.0	22.0%	11.0%	11.0%	3.1%	4.68	4.73	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	22.0%	11.0%	11.0%	3.1%	4.68	4.35	+0.0
/ 200 IP	—	RAW		190	0	200	844	198	99	33	0%	1.1	22.0%	11.0%	11.0%	3.1%	4.68	4.35	+0.5
Career	—	MLE		183	22	355	1582	257	195	22	12%	1.9	16.3%	12.3%	4.0%	1.4%	4.84	4.06	-0.0
/ 200 IP	—	MLE		103	12	200	890	145	110	13	12%	1.9	16.3%	12.3%	4.0%	1.4%	4.84	4.06	-0.4

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
Henry Henry (OGILVIE)	—	—	4.63	22.1%	10.9%	3.0%	—	4.73	22.0%	11.0%	20	+0.10	—	—	—
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	80
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	79
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	78
Josh Lueke R 2013 · 4.09 FIP	28	SU	4.09	25.3%	11.1%	3.1%	.333	3.28	24.6%	20.9%	90	-0.81	2.29	191	78
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	78
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	78
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	78
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	78
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	77
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	77
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	77
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	77
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	77
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	77
Daniel Robert R 2023 · 3.45 FIP	28	SU	3.45	22.7%	10.7%	1.7%	.310	3.02	25.4%	17.1%	87	-0.43	2.32	186	77
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	76
Jason Boyd R 2000 · 3.68 FIP	27	SU	3.68	19.9%	12.4%	1.2%	.346	4.86	13.9%	2.8%	81	+1.18	3.68	128	76
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	76
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	76
Arcenio Leon R 2015 · 4.73 FIP	28	SU	4.73	17.9%	12.5%	2.9%	.450	3.37	18.0%	9.1%	85	-1.36	3.00	115	76